HEALTHINF 2017 Abstracts

Full Papers Short Papers
Full Papers
Paper Nr: 29
Title:

Are Trustworthy Health Videos Reachable on YouTube? - A Study of YouTube Ranking of Diabetes Health Videos
Authors:

Randi Karlsen, José Enrique Borrás Morell and Vicente Traver Salcedo
Abstract: While health consumers are increasingly searching health information on the Internet, information overload is a serious obstacle for finding relevant and good-quality information among inaccurate, obsolete or incorrect health information. While a lot of information exists, information from credible sources, such as hospitals and health organisations, may be difficult to find. The aim of this study is to analyse ranking of diabetes health videos on YouTube over a time period, to learn whether videos from credible sources are ranked sufficiently high to be reachable to users. 19 diabetes-related queries were issued to YouTube each day over a 1.5-month period, and in total 2584 videos from credible sources was detected and their ranking position tracked. We found that only a small number of the tracked videos were in practice available to the user, as most videos were given a persistent low ranking. Also, since ranking is fairly stable, users cannot expect to find many new videos (from credible sources) when issuing a query multiple times. We conclude that new tools are needed that enable health video retrieval based on requirements concerning not only relevance and popularity, but also credibility of the sources and trustworthiness of the videos.
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Paper Nr: 30
Title:

MonAT: A Visual Web-based Tool to Profile Health Data Quality
Authors:

Monica Noselli, Dan Mason, Mohammed A. Mohammed and Roy A. Ruddle
Abstract: Electronic Health Records (EHRs) are an important asset for clinical research and decision making, but the utility of EHR data depends on its quality. In health, quality is typically investigated by using statistical methods to profile data. To complement established methods, we developed a web-based visualisation tool called MonAT Web Application (MonAT) for profiling the completeness and correctness of EHR. The tool was evaluated by four researchers using anthropometric data from the Born in Bradford Project (BiB Project), and this highlighted three advantages. The first was to understand how missingness varied across variables, and especially to do this for subsets of records. The second was to investigate whether certain variables for groups of records were sufficiently complete to be used in subsequent analysis. The third was to portray longitudinally the records for a given person, to improve outlier identification.
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Paper Nr: 31
Title:

Comparison of Different Implementations of a Process Limiting Pharmaceutical Expenditures Required by German Law
Authors:

Timo Emcke, Thomas Ostermann, Marc Heidbreder and Reinhard Schuster
Abstract: German legislation demands controlling measures for outpatient drug costs. As of 2017 the health insurance actors rose to a challenge to reform the benchmark system on the federal state level. We look at the previous system applied until 2015, the improvements in 2016 and the method the regional parties agree on for 2017. After discussing hard- and software systems and the underlying data briefly we describe the flaws of the old approach and develop a general model for controlling measures in the outpatient field. Finally we present the first real world applications of the new model: a patient type classification system leading to target costs and a derived distance structure of physicians regarding their prescription behaviour.
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Paper Nr: 32
Title:

Deviations in Birth Rates with Respect to the Day of the Week and the Month for a 100 Year Period Regarding Social and Medical Aspects in Explaining Models
Authors:

Fabian Schuster, Thomas Ostermann, Reinhard Schuster and Timo Emcke
Abstract: During the last hundred years the birth rates on Sundays changed dramatically with a neutral point around 1955. Modern birth regulation is considered as the main reason for that. Medical backgrounds for this situation were discussed in the 1970s. Prior to that no analysis has relevant case numbers. The time from conception to birth measured in days is divisable by 7. The time of conception is relevant in relation to social aspects. Conception rates can be determined under the assumption that we can split up the population in a low and a high risk share. This consideration principally leads to an instable problem on a discrete cyclic space. But using some limiting considerations we get a numerically stable solution with feasible characteristics. For observing long time changes we need a relevant smoothing operator. In numerical calculations we look for a quadratic minimum solution or alternatively a linear program. For the discussion of inequality the concept of Shannon entropy as well as and Lorenz curve and Gini coefficient are relevant.
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Paper Nr: 33
Title:

Pattern Recognition Application in ECG Arrhythmia Classification
Authors:

Soodeh Nikan, Femida Gwadry-Sridhar and Michael Bauer
Abstract: In this paper, we propose a pattern recognition algorithm for arrhythmia recognition. Irregularity in the electrical activity of the heart (arrhythmia) is one of the leading reasons for sudden cardiac death in the world. Developing automatic computer aided techniques to diagnose this condition with high accuracy can play an important role in aiding cardiologists with decisions. In this work, we apply an adaptive segmentation approach, based on the median value of R-R intervals, on the de-noised ECG signals from the publically available MIT-BIH arrhythmia database and split signal into beat segments. The combination of wavelet transform and uniform one dimensional local binary pattern (1-D LBP) is applied to extract sudden variances and distinctive hidden patterns from ECG beats. Uniform 1-D LBP is not sensitive to noise and is computationally effective. ELM classification is adopted to classify beat segments into five types, based on the ANSI/AAMI EC57:1998 standard recommendation. Our preliminary experimental results show the effectiveness of the proposed algorithm in beat classification with 98.99% accuracy compared to the state of the art approaches.
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Paper Nr: 37
Title:

Using HL7 and DICOM to Improve Operational Workflow Efficiency in Radiology
Authors:

Thusitha Mabotuwana and Christopher Hall
Abstract: Radiology departments are increasingly asked to do more with less annual budget and to remain competitive while managing bottom lines. Identifying opportunities to improve workflow efficiency is an important aspect of managing a department and reducing associated costs. Workflow enhancement tools can be built by making use of HL7 and DICOM messages that are directly related to various workflow steps. In this paper, we discuss the importance of using both HL7 and DICOM to determine more accurate metrics related to granular workflow operations, such as distinguishing between billing and operational exam volumes. Using a production dataset, we also demonstrate how visualization can be used to provide better visibility into routine radiology operations.
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Paper Nr: 38
Title:

Technologies for Ageing in Place to Support Home Monitoring of Patients with Chronic Diseases
Authors:

Alexandra Queirós, Luís Pereira, Ana Dias and Nelson Pacheco Rocha
Abstract: Objectives - This study aims to identify: i) the most relevant chronic diseases in terms of the use of technologies for ageing in place to support home monitoring; and ii) types, outcomes and impacts of technologies for ageing in place being used to support home monitoring. Methods - A systematic review of reviews and meta-analysis was performed based on a search of the literature. Results - A total of 35 reviews and meta-analysis across 4 chronic diseases, diabetes, congestive heart failure, chronic obstructive pulmonary disease, and hypertension, were retrieved. These studies compare home monitoring supported by different technologies with usual care. Conclusion - Home monitoring has positive effects in various health related outcomes, but further research is required to allow its incorporation in the clinical practice.
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Paper Nr: 42
Title:

Generating a Distilled N-Gram Set - Effective Lexical Multiword Building in the SPECIALIST Lexicon
Authors:

Chris J. Lu, Destinee Tormey, Lynn McCreedy and Allen C. Browne
Abstract: Multiwords are vital to better Natural Language Processing (NLP) systems for more effective and efficient parsers, refining information retrieval searches, enhancing precision and recall in Medical Language Processing (MLP) applications, etc. The Lexical Systems Group has enhanced the coverage of multiwords in the Lexicon to provide a more comprehensive resource for such applications. This paper describes a new systematic approach to lexical multiword acquisition from MEDLINE through filters and matchers based on empirical models. The design goal, function description, various tests and applications of filters, matchers, and data are discussed. Results include: 1) Generating a smaller (38%) distilled MEDLINE n-gram set with better precision and similar recall to the MEDLINE n-gram set; 2) Establishing a system for generating high precision multiword candidates for effective Lexicon building. We believe the MLP/NLP community can benefit from access to these big data (MEDLINE n-gram) sets. We also anticipate an accelerated growth of multiwords in the Lexicon with this system. Ultimately, improvement in recall or precision can be anticipated in NLP projects using the MEDLINE distilled n-gram set, SPECIALIST Lexicon and its applications.
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Paper Nr: 48
Title:

Spectral Data Fusion for Robust ECG-derived Respiration with Experiments in Different Physical Activity Levels
Authors:

Iman Alikhani, Kai Noponen, Arto Hautala, Rahel Ammann and Tapio Seppänen
Abstract: In this paper, we study instant respiratory frequency extraction using single-channel electrocardiography (ECG) during mobile conditions such as high intensity exercise or household activities. Although there are a variety of ECG-derived respiration (EDR) methods available in the literature, their performance during such activities is not very well-studied. We propose a technique to boost the robustness and reliability of widely used and computationally efficient EDR methods, aiming to qualify them for ambulatory and daily monitoring. We fuse two independent sources of respiratory information available in ECG signal, including respiratory sinus arrhythmia (RSA) and morphological change of ECG time series, to enhance the accuracy and reliability of instant breathing rate estimation during ambulatory measurements. Our experimental results show that the fusion method outperforms individual methods in four different protocols, including household and sport activities.
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Paper Nr: 50
Title:

Technological Approach for Behavior Change Detection toward Better Adaptation of Services for Elderly People
Authors:

Firas Kaddachi, Hamdi Aloulou, Bessam Abdulrazak, Joaquim Bellmunt, Romain Endelin, Mounir Mokhtari and Philippe Fraisse
Abstract: Aging process is associated with behavior change and continuous decline in physical and cognitive abilities. Therefore, early detection of behavior change is major enabler for providing adapted services to elderly people. Today, different psychogeriatric methods target behavior change detection. However, these methods require presence of caregivers and manual analysis. In this paper, we present our technological approach for early behavior change detection. It consists in monitoring and analyzing individual activities using pervasive sensors, as well as detecting possible changes in early stages of their evolution. We also present a first validation of the approach with real data from nursing home deployment.
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Paper Nr: 51
Title:

Identifying Serendipitous Drug Usages in Patient Forum Data - A Feasibility Study
Authors:

Boshu Ru, Charles Warner-Hillard, Yong Ge and Lixia Yao
Abstract: Drug repositioning reduces safety risk and development cost, compared to developing new drugs. Computational approaches have examined biological, chemical, literature, and electronic health record data for systematic drug repositioning. In this work, we built an entire computational pipeline to investigate the feasibility of mining a new data source – the fast-growing online patient forum data for identifying and verifying drug-repositioning hypotheses. We curated a gold-standard dataset based on filtered drug reviews from WebMD. Among 15,714 sentences, 447 mentioned novel desirable drug usages that were not listed as known drug indications by WebMD and thus were defined as serendipitous drug usages. We then constructed 347 features using text-mining methods and drug knowledge. Finally we built SVM, random forest and AdaBoost.M1 classifiers and evaluated their classification performance. Our best model achieved an AUC score of 0.937 on the independent test dataset, with precision equal to 0.811 and recall equal to 0.476. It successfully predicted serendipitous drug usages, including metformin and bupropion for obesity, tramadol for depression and ondansetron for irritable bowel syndrome with diarrhea. Machine learning methods make this new data source feasible for studying drug repositioning. Our future efforts include constructing more informative features, developing more effective methods to handle imbalance data, and verifying prediction results using other existing methods.
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Paper Nr: 53
Title:

Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations
Authors:

Bernard Hernandez, Pau Herrero, Timothy M. Rawson, Luke S. P. Moore, Esmita Charani, Alison H. Holmes and Pantelis Georgiou
Abstract: Antimicrobial Resistance (AMR) is a major patient safety issue. Attempts have been made to palliate its growth. Misuse of antibiotics to treat human infections is a main concern and therefore prescription behaviour needs to be studied and modified appropriately. A common approach relies on designing software tools to improve data visualization, promote knowledge transfer and provide decision-making support. This paper explains the design of a Decision Support System (DSS) for clinical environments to provide personalized, accurate and effective diagnostics at point-of-care (POC), improving continuity, interpersonal communication, education and knowledge transfer. Demographics, biochemical and susceptibility laboratory tests and individualized diagnostic/therapeutic advice are presented to clinicians in a handheld device. Case-Based Reasoning (CBR) is used as main reasoning engine to decision support for infection management at POC. A web-based CBR-inspired interface design focused on usability principles has also been developed. The proposed DSS is perceived as useful for patient monitoring and outcome review at POC by expert clinicians. The DSS was rated with a System Usability Scale (SUS) score of 68.5 which indicates good usability. Furthermore, three areas of improvement were identified from the feedback provided by clinicians: thorough guidance requirements for junior clinicians, reduction in time consumption and integration with prescription workflow.
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Paper Nr: 61
Title:

Healthcare-Oriented Characterisation of Human Movements by Means of Impulse-Radar Sensors and by Means of Accelerometric Sensors
Authors:

Paweł Mazurek, Jakub Wagner, Andrzej Miękina, Roman Z. Morawski and Frode Fadnes Jacobsen
Abstract: This paper is devoted to the healthcare-oriented characterisation of the human movements by means of the accelerometric and impulse-radar sensors – the sensors that may be employed in care services for monitoring of elderly and disabled persons. Characterisation of the movements in terms of the so-called self-selected walking velocity can be used by the medical and healthcare personnel to assess the overall health status of a monitored person. The quality of the characterisation, based on the measurement data from accelerometric and impulse-radar sensors, has been assessed in a series of real-world experiments which involved the estimation of the instantaneous and mean walking velocity of a person moving according to predefined patterns. Some indicators of uncertainty of the velocity estimation, determined with respect to assumed predefined velocity values, have been used for comparison of the performance of both types of sensors. The experiments have shown that impulse-radar sensors enable one to estimate the mean walking velocity more accurately than the accelerometric sensors: the estimates obtained on the basis of data from the latter sensors are affected by larger bias and are more widely spread around their mean values.
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Paper Nr: 64
Title:

Fear of Missing out, Social Media Engagement, Smartphone Addiction and Distraction: Moderating Role of Self-Help Mobile Apps-based Interventions in the Youth
Authors:

Bobby Swar and Tahir Hameed
Abstract: Smartphones offer high mobility and internet connectivity at the same time which has led to a substantial increase in the number of active social media users on the move, especially the ‘Millennials’. The excessive use of smartphone has been linked with several issues including mental well-being. Recently, different mobile applications have emerged to help users track their excessive use of smartphones and protect them from potential risks to mental health. This paper uses self-determination theory to examine the moderating role of such mobile applications (or self-help interventions) on inter-relationships between social media engagement, smartphone addiction and smartphone distractions. Survey responses from 284 college students reveal that mobile applications could prove to be quite effective self-help interventions that can help the young people in self-regulating their smartphone use. These results have substantial implications for designing effective mobile app-based interventions to save young people from potential risks to their mental health, productivity, and safety in performing their daily tasks. Future research directions have also been pointed out.
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Paper Nr: 66
Title:

A Classification of Healthcare Social Network Analysis Applications
Authors:

Lamia Benhiba, Asmae Loutfi and Mohammed Abdou Janati Idrissi
Abstract: As the web, social networks and the internet of things permeated our daily life; a new perspective for understanding the complexity of our interconnectedness has become necessary. One approach that has predominantly proven useful in discovering hidden relationships, connections and trends of complex systems through mathematical and graphical techniques is Social Network Analysis (SNA). This approach has become increasingly appeling for Healthcare in particular as many of this domain’s problems examine systems with dynamic actors that interact with each other and exhibit emergent complex behaviors. However, due to their multiplicity, the application of SNA methodologies proves to be a complex and confusing endeavor. In an attempt to support the effort of applying SNA methodologies on Healthcare research problems, this paper offers firstly a categorization of SNA methodologies (structural and dynamic analysis), then inventories Healthcare SNA applications and classifies them into organizational and e-health related problems. The resulting categorization helps identify the Healthcare research problems most auspicious for SNA methodologies and should thus provide a guiding material of adequate SNA methodologies for a given Healthcare research problem.
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Paper Nr: 71
Title:

Understanding Jump Landing as an Oscillating System: A Model-based Approach of Balance and Strength Analyses
Authors:

Sandra Hellmers, Sebastian Fudickar, Lena Dasenbrock, Andrea Heinks, Jürgen M. Bauer and Andreas Hein
Abstract: Counter movement jumps (CMJ) are well-suited to measure the muscle power and balance. Since it has been clarified that well accepted CMJ amplification-based balance measures (such as TTS or CoP) are significantly influenced by algorithmic, and measurement settings and thus, measurement results have limited meaningfulness among force platforms, we introduce a new model-based approach measuring the postural stability. In this, during the landing and recovery phases after vertical jumps, the lower extremities can be represented by an oscillating system and the corresponding transfer function is described by a second-order delay (PT2) element. In an initial prospective study with 20 subjects aged over 70 years, we observed an inverse relationship between the calculated parameter w and the jump height and could also identify an influence of sex, and body weight on the jump height. Furthermore, we also found a relation between the parameter w and the dynamic postural stability index (DPSI), even though these results must be ensured statistically using a larger cohort, due to the current limited number of subjects. Nevertheless, we could confirm the general applicability of the Systems and Control Technology perspective on describing human movements in a potentially more robust manner than current amplification based approaches. Further investigations on our model and the oscillating behavior in the phase of landing are needed to improve our system and to interpret the calculated parameters in a technical and physiological point of view.
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Paper Nr: 75
Title:

C-Lace: Computational Model to Predict 30-Day Post-Hospitalization Mortality
Authors:

Janusz Wojtusiak, Eman Elashkar and Reyhaneh Mogharab Nia
Abstract: This paper describes a machine learning approach to creation of computational model for predicting 30-day post hospital discharge mortality. The Computational Length of stay, Acuity, Comorbidities and Emergency visits (C-LACE) is an attempt to improve accuracy of popular LACE model frequently used in hospital setting. The model has been constructed and tested using MIMIC III data. The model accuracy (AUC) on testing data is 0.74. A simplified, user-oriented version of the model (Minimum C-LACE) based on 20-most important mortality indicators achieves practically identical accuracy to full C-LACE based on 308 variables. The focus of this paper is on detailed analysis of the models and their performance. The model is also available in the form of online calculator.
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Paper Nr: 106
Title:

Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees
Authors:

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez and Majaz Moonis
Abstract: The objective of our study is to predict the clinical outcome of ischemic stroke patients after 90 days of stroke using the modified Rankin Scale (mRS) score. After experimentation with various regression techniques, we discovered that using M5 model trees to predict the score and then using bootstrap aggregating as a meta-learning technique produces the best prediction results. The same regression when followed by classification also performs better than regular multi-class classification. In this paper, we present the methodology used, and compare the results with other standard predictive techniques. We also analyze the results to provide insights on the factors that affect stroke outcomes.
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Short Papers
Paper Nr: 12
Title:

Time Synchronization in Emergency Response Time Measurement
Authors:

F. Jordan Srour and Nabil Georges Badr
Abstract: Emergency response time reporting requires data provided by multiple systems. Whenever more than one system produces a time stamp, issues of time synchronization across systems manifest. As emergency response time targets are often short (8 minutes or less) and critical to public perceptions of service, errors in reporting these times are unacceptable. This article seeks to quantify the probability and magnitude of such errors through an empirical study of one emergency medical dispatch system.
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Paper Nr: 13
Title:

ICT and Ageing in Lebanese Public Hospitals - A Resource based View Perspective on Capabilities
Authors:

Nabil Georges Badr, Charbel Chedrawi and Jamil Arida
Abstract: This paper looks into the Lebanese healthcare system and its readiness to care for a growing elderly population and how ICT is used and how it is perceived by the stakeholders. The paper presents concerns on ageing population in Lebanon. It first addresses the status of hospital infrastructure in the country, and then discusses some interviews regarding ICT plans with six general managers of large public hospitals in different regions of Lebanon.
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Paper Nr: 17
Title:

Sink or Swim: Connected Health Software - Grasping the Innovation Opportunities by Mitigating Risk
Authors:

Ita Richardson, Ahmed AbuBaker, Patrick O'Connor, Jerry O'Mahony and Pádraig O'Leary
Abstract: Connected Health innovation can be an opportunity for companies to develop and grow, if they take opportunity to develop solutions for healthcare. In this paper, we discuss a case study where a very small company in Ireland developed a connected health solution, but in doing this, discovered a number of risks which they faced. Working with a research from the University of Limerick (author 1), they developed mitigation strategies to avoid these risks, and subsequently developed an updated version of their initial connected health solution. This software, Global-MN, has been implemented by a charity in India, Varanasi Children’s Hospital. We present information about both the initial and updated product, illustrating how overcoming the risks has resulted in the company redesigning their product for a global market. Data entered via this software is now providing Varanasi Children’s Hospital with information and analysis, which, in turn, is allowing them to provide a better service and improve the nourishment of children in India.
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Paper Nr: 19
Title:

Abstract Information Model for Geriatric Patient Treatment - Actors and Relations in Daily Geriatric Care
Authors:

Lars Rölker-Denker and Andreas Hein
Abstract: The authors propose an abstract information for geriatric care, the geriatric information model (GIM). They adopt an information model from cancer care and introduce characteristics for geriatric care (patient population, multidisciplinary and multi-professional approach, cross-sectoral approach). Actors (patients, physicians, therapists, organisations), information objects, and information relations are defined. The GIM is validated by mapping four typical knowledge processes (multi-professional geriatric team session, interdisciplinary clinical case conferences, tumor boards, transition management) onto the model. The GIM is stated as useful for understanding information flows and relations in geriatric care. All processes for validation can be mapped onto GIM. In future work the GIM should be tested with more knowledge process and could also be used for identifying gaps in the IT support of geriatric care. A study on high and low information quality in geriatric care is also proposed.
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Paper Nr: 22
Title:

Collaborative Reproducible Reporting - Git Submodules as a Data Security Solution
Authors:

Peter E. Dewitt and Tellen D. Bennett
Abstract: Sensitive data and collaborative projects pose challenges for reproducible computational research. We present a workflow based on literate programming and distributed version control to produce well-documented and dynamic documents collaboratively authored by a team composed of members with varying data access privileges. Data are stored on secure institutional network drives and incorporated into projects using a feature of the Git version control system: submodules. Code to analyze data and write text is managed on public collaborative development environments. This workflow supports collaborative authorship while simultaneously protecting sensitive data. The workflow is designed to be inexpensive and is implemented primarily with a variety of free and open-source software. Work products can be abstracts, manuscripts, posters, slide decks, grant applications, or other documents. This approach is adaptable to teams of varying size in other collaborative situations.
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Paper Nr: 23
Title:

Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing
Authors:

Ajinkya Prabhune, Rainer Stotzka, Michael Gertz, Lei Zheng and Jürgen Hesser
Abstract: In this paper, we present a novel data repository architecture that is capable of handling the complex image processing workflows and its associated provenance for clinical image data. This novel system has unique and outstanding properties versus existing systems. Among the most relevant features are a flexible and intuitively usable data and metadata management that includes the use of a graph-based provenance management strategy based on a standard provenance model. Annotation is supported to allow for flexible text descriptors as being widespread found for clinical data when structured templates are not yet available. The architecture presented here is based on a modern database and management concepts and allows to overcome the limitations of current systems namely limited provenance support, lacking flexibility, and extensibility to novel requests. To demonstrate the practical applicability of our architecture, we consider a use case of automated image data processing workflow for identifying vascular lesions in the lower extremities, and describe the provenance graph generated for this workflow. Although presented for image data, the proposed concept applies to more general context of arbitrary clinical data and could serve as an additional service to existing clinical IT systems.
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Paper Nr: 39
Title:

A Comparison of Statistical Linkage Keys with Bloom Filter-based Encryptions for Privacy-preserving Record Linkage using Real-world Mammography Data
Authors:

Rainer Schnell, Anke Richter and Christian Borgs
Abstract: New EU regulations on the need to encrypt personal identifiers for linking data will increase the importance of Privacy-Preserving Record Linkage (PPRL) techniques over the course of the next years. Currently, the use of Anonymous Linkage Codes (ALCs) is the standard procedure for PPRL of medical databases. Recently, Bloom filter-based encodings of pseudo-identifiers such as names have received increasing attention for PPRL tasks. In contrast to most previous research in PPRL, which is based on simulated data, we compare the performance of ALCs and Bloom filter-based linkage keys using real data from a large regional breast cancer screening program. This large regional mammography data base contains nearly 200.000 records. We compare precision and recall for linking the data set existing at point t0 with new incident cases occuring after t0 using different encoding and matching strategies for the personal identifiers. Enhancing ALCs with an additional identifier (place of birth) yields better recall than standard ALCs. Using the same information for Bloom filters with recommended parameter settings exceeds ALCs in recall, while preserving precision.
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Paper Nr: 40
Title:

A Modified All-and-One Classification Algorithm Combined with the Bag-of-Features Model to Address the Food Recognition Task
Authors:

Kalliopi Dalakleidi, Myriam Sarantea and Konstantina Nikita
Abstract: Dietary intake monitoring can play an important role in reducing the risk of diet related chronic diseases. Automatic systems that support patients to count the nutrient contents, like carbohydrates (CHO), of their meals, can provide valuable tools. In this study, a food recognition system is proposed, which consists of two modules performing feature extraction and classification of food images, respectively. The dataset used consists of 1200 food images split into six categories (bread, meat, potatoes, rice, pasta and vegetables). Speeded Up Robust Features (SURF) along with Color and Local Binary Pattern (LBP) features are extracted from the food images. The Bag-Of-Features (BOF) model is used in order to reduce the features space. A modified version of the All-And-One Support Vector Machine (SVM) is proposed to perform the task of classification and its performance is evaluated against several classifiers that follow the SVM or the K-Nearest Neighbours (KNN) approach. The proposed classification method has achieved the highest levels of accuracy (Acc = 94.2 %) in comparison with all the other classifiers.
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Paper Nr: 54
Title:

Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition
Authors:

Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed and Matthew Buman
Abstract: Accelerometers are the most common device for data collection in the field of Human Activity Recognition (HAR). This data is recorded at a particular sampling rate and then usually separated into time windows before classification takes place. Though the sampling rate and window size can have a significant impact on the accuracy of the trained classifier, there has been relatively little research on their role in activity recognition. This paper presents a statistical analysis on the effect the sampling rate and window sizes on HAR data classification. The raw data used in the analysis was collected from a hip-worn Actigraphy G3X+ at 100Hz from 77 subjects performing 23 different activities. It was then re-sampled and divided into windows of varying sizes and trained using a single data classifier. A weighted least squares linear regression model was developed and two-way factorial ANOVA was used to analyze the effects of sampling rate and window size for different activity types and demographic categories. Based upon this analysis, we find that 10-second windows recorded at 50Hz perform statistically better than other combinations of window size and sampling rate.
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Paper Nr: 76
Title:

Poke-R - Using Analytics to Reduce Patient
Authors:

James P. McGlothlin, Evan Crawford, Jesse Wyatt, Carlos Samayoa, Yana Vaks, Brenda Bruneau, Merrick Lopez, Anthony Moretti, Michele Wilson and James Pappas
Abstract: Major events and surgeries are not the only sources of trauma during a hospital encounter. Many small, less invasive events such as shots, line placements, blood draws, and imaging studies happen throughout a patient’s hospital stay. Many of these less traumatic events have the potential to negatively impact patient outcomes by increasing the risk of hospital-acquired infections through skin invasions and exposure to organisms, reducing the patient experience by causing pain and frustration, increasing cost and causing other complications. The goal of this project is to reduce such events when they are not clinically required. This is an analytics project so this goal is facilitated by making accurate and meaningful information available to the appropriate personnel. This includes timely information to clinicians so they can alter treatment, and retrospective trend analysis to enable and track performance improvement and identify opportunities for additional process improvement.
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Paper Nr: 84
Title:

Security And Privacy Issues in Healthcare Monitoring Systems: A Case Study
Authors:

Daniel Tolboe Handler, Lotte Hauge, Angelo Spognardi and Nicola Dragoni
Abstract: Security and privacy issues are rarely taken into account in automated systems for monitoring elderly people in their home, exposing inhabitants to a number of threats they are usually not aware of. As a case study to expose the major vulnerabilities these systems are exposed to, this paper reviews a generic example of automated healthcare monitoring system. The security and privacy issues identified in this case study can be easily generalised and regarded as alarm bells for all the pervasive healthcare professionals.
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Paper Nr: 86
Title:

Data Format for Storing ANT+ Sensors Data
Authors:

Petr Ježek and Roman Mouček
Abstract: Medical treatment of sudden and especially chronic diseases has become more expensive. People suffering from a variety of diseases had been traditionally treated in hospitals for a long time. Fortunately, the current situation has been changing also thanks to relatively cheap body sensors and development of systems for home treatment. It brings inconsiderable cost savings and improves patients’ comfort. On the other hand, it puts demands on the used technical infrastructure and home treatment system developers who must solve integration of different systems. A crucial point is a definition of unified data formats facilitating transfer and storage of data to/in remote databases. There are standards and APIs such as Zigbee, Bluetooth low energy or ANT+ that define a protocol for data transfer. However, they do not define a suitable format for long term data storing. In this paper, data coming from ANT+ sensors have been studied and metadata related to all kinds of body sensors and raw data and metadata specific to individual sensors have been defined. Then a framework organizing data and metadata obtained from ANT+ sensors into an open and general data format suitable for long term storage of sensor data is introduced. Finally, a sample use-case showing the transfer of data from a sensor into a data storage is presented.
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Paper Nr: 87
Title:

Towards a Multi-level Approach for the Maintenance of Semantic Annotations
Authors:

Silvio Domingos Cardoso, Chantal Reynaud-Delaître, Marcos Da Silveira, Ying-Chi Lin, Anika Groß, Erhard Rahm and Cedric Pruski
Abstract: Semantic annotations are often used to enrich documents as clinical trials and electronic health records. However, the usability of these annotations tends to decrease over time due to the evolution of the domain ontologies. The maintenance of these annotations is critical for tools that exploit them (e.g., search engines and decision support systems) in order to assure an acceptable level of performance. Despite the recent advances in ontology evolution systems, the maintenance of semantic annotations remains an open problem. In this paper, we introduce, based on previous experiments, the main components of a multi-level approach towards the automatic maintenance of semantic annotations. We further provide examples for strengthening our proposal.
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Paper Nr: 92
Title:

Making Environments Work for People - A Novel Approach towards Personal Lifestyle Management Informatics
Authors:

Eleni Kaldoudi
Abstract: This paper introduces a new paradigm for personalized systems used by the citizen for self-management of health and disease: using smart technologies to exploit the health potential of surrounding environments and to support the citizen in decisions related to a healthy lifestyle. This approach proposes meshing the citizen’s specific needs for healthier behaviours with what is available to meet these needs in the surrounding environment. Rather than focusing on health monitoring alone, the aim should be to create a healthy digital envelope – a Healthy Place – around the citizen as they move through their everyday lives. The implementation of this approach needs to integrate existing systems for health assessment and environmental predictions; collect personal private data from mobile personal sensors and public data on health content of the environment; design dynamic testable models of behaviour change, that situate the individual within their environment; develop advanced analytics for context understanding and situational awareness that will couple the current goals of the person with what his or her environment can offer; and create personalized decision support services for behaviour change that exploit the current match between a person’s needs and the opportunities offered by his or her environment.
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Paper Nr: 97
Title:

Health Information Systems: Background and Trends of Development Worldwide and in Russia
Authors:

Elena Vaganova, Tatiana Ishchuk, Anatoly Zemtsov and Dmitry Zhdanov
Abstract: The paper is to study the background, opportunities, challenges, and trends of development of health information systems in Russia and worldwide. There are two main types of HIS: electronic medical records and clinical decision support. The key areas of their application include patient management, clinical management, diagnostics and treatment, research and education. The development of economic efficiency of HIS is considered to be one of the future research field in medical informatics.
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Paper Nr: 98
Title:

A Telecare System on Smart Watches that Communicate with Wireless Bio Sensors
Authors:

Akio Sashima, Mitsuru Kawamoto and Koichi Kurumatani
Abstract: In this paper, we propose a prototype of telecare system by using wristwatch-type devices, so called smart watches. In the prototype system, the smart watch receives physiological data of a user, such as heart beats and body movements, by communicating with a wireless bio-sensor worn by the user. The smart watch sends the physiological data to the other users’ smart watches connected to the Internet. The sensed data are shared among family members in a peer-to-peer manner so as to remotely monitor the physical health status of the other members. We have designed a user interface which visually shows the remote user’s current body posture and enables the others to tactilely feel his/her heart beats. We describe the overview of this prototype system and its user interface implemented with the smart watches. We show experimental results of communication performances of the system.
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Paper Nr: 99
Title:

Designing a Social Machine for the Heart Manual Service
Authors:

Vanessa Hanschke, Areti Manataki, Cristina Adriana Alexandru, Petros Papapanagiotou, Carolyn Deighan, Louise Taylor and Dave Robertson
Abstract: Social machines are emerging as a focus of research within the field of informatics as they begin to become the central administrator of our everyday communications. The difficulty of applying such systems to specialised contexts, such as healthcare, calls for guidelines on how to design them, so that they become truly useful. In collaboration with the Heart Manual Department, this project is an attempt at finding suitable methods for designing social machines in a healthcare context. It suggests that adopting a participatory approach where stakeholders are active, equal participants throughout the design process leads to a more usable, likeable, and thus more successful social machine. We describe the process of designing a social machine for the Heart Manual service, in which requirements were elicited through various participatory design methods and a proof of concept evaluation was carried out with a prototype. The prototype was received largely positively and scored highly on the System Usability Scale, indicating the success of the proposed methodology.
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Paper Nr: 100
Title:

Experimental Design and Collection of Brain and Respiratory Data for Detection of Driver's Attention
Authors:

Roman Mouček, Lukáš Hnojský, Lukáš Vařeka, Tomáš Prokop and Petr Brůha
Abstract: Attention of drivers is very important for road safety and it is worth observing even in laboratory conditions during a simulated drive. This paper deals with design of an experiment investigating driver’s attention, validation of collected data, and first preprocessing and processing steps used within data analysis. Brain activity is considered as a primary biosignal and is measured and analyzed using the techniques and methods of electroencephalography and event related potentials. Respiration is considered as a secondary biosignal that is captured together with brain activity. Validation of collected data using a stacked autoencoder is emphasized as an important step preceding data analysis.
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Paper Nr: 103
Title:

Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers
Authors:

Laura Moss, Martin Shaw, Ian Piper, Christopher Hawthorne and John Kinsella
Abstract: Advances in technology has transformed clinical medicine; electronic patient records routinely store clinical notes, internet-enabled mobile apps support self-management of chronic diseases, point-of-care testing enables laboratory tests to be performed outside of hospital environments, patient treatment can be delivered over wide geographic areas and wireless sensor networks are able to collect and send physiological data. Increasingly, this technology leads to the development of large databases of sensitive electronic patient information. There is public interest into the secondary use of this data; many concerns are voiced about the involvement of private companies and the security and privacy of this data, but at the same time, these databases present a valuable source of clinical information which can drive health informatics and clinical research, leading to improved patient treatment. In this position paper, we argue that for health informatics projects to be successful, public concerns over the secondary use of patient data need to be addressed in the design and implementation of the technology and conduct of the research project.
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Paper Nr: 105
Title:

The Virtual Enterprise Data Warehouse for Healthcare
Authors:

James P. McGlothlin, Amar Madugula and Ilija Stojic
Abstract: Healthcare organizations have access to more data than ever before. Healthcare analytics is a vital tool for healthcare organizations and hospitals to analyze performance, identify opportunities to improve, make informed decisions, and comply with government and payor regulations. However, the field of medicine and the political and regulatory landscape are constantly changing, thus these requirements and opportunities rapidly evolve. The traditional best practice solution for business analytics is to organize and consolidate the data into a dimensional data warehouse for analytics purposes. Due to the size of the data, the number of disparate sources and the volume of analytics needs, the overhead to create and maintain such a data warehouse is becoming prohibitive. In this paper, we introduce a virtual data warehouse solution that combines the design and modelling principles of traditional dimensional modelling with data virtualization and in-memory database architectures to create a system which is more agile, flexible and scalable.
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Paper Nr: 110
Title:

An Adaptive Scrum Model for Developing Disease Registries
Authors:

Hatem Bellaaj, Afef Mdhaffar, Mohamed Jmaiel and Bernd Freisleben
Abstract: This paper presents an adaptive model for developing disease registries. The proposed model is based on the Scrum methodology. It can be used to draw a road map to identify priorities, inputs, outputs, team members and exchanges for all tasks required to develop disease registries. Our model has been applied to real cases from several Tunisian hospitals where it has improved the efficiency of the team members. The developed disease registries are currently used in Tunisia. They allow medical researchers to identify origins of diseases, establish new protocols, perform surveys and compute morbidity.
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Paper Nr: 5
Title:

Sign-Lingo - Feasibility of a Serious Game for Involving Parents in the Language Development of Their Deaf or Hearing Impaired Child
Authors:

Ivor van der Schalk and Marco Spruit
Abstract: Family involvement plays a critical factor in the language development of a deaf or hearing impaired child. Hearing parents often have major difficulties in communicating with their child when it is deaf or hearing impaired. These difficulties often lead to issues in the language development of the child. In this research we investigate the feasibility of a serious game for involving parents in the language development of their deaf or hearing impaired child by using sign language together in a fun and engaging way. From the feasibility analysis we find that such a serious game is feasible and could help deaf and hearing impaired children to improve their language development.
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Paper Nr: 24
Title:

Internet of Things Controlled Home Objects for the Elderly
Authors:

Research Dawadi, Zeeshan Asghar and Petri Pulli
Abstract: The number of elderly people suffering from physical or cognitive difficulty is increasing continuously. Elderly people prefer to live in their familiar environment where they can easily perform different activities of their daily life which is also good for their mental and physical well-being. Internet of Things is a mechanism through which any objects can be monitored, controlled, and manipulated. In order to develop efficient application for the elderly living at home independently, the researcher should be aware of the home objects as well as of the living environment. This study uses systematic literature review to determine applications developed to assist elderly people inside their home. A total of 25 primary studies are identified. With the analysis of those studies, important and relevant objects in the daily life of the elderly are identified. Using the results from the review, a new scenario of home environment is visualized. The visualization is expected to provide caretakers with a better view of the living condition of the elderly and position and state of the home objects. This new home scenario is expected to offer a secure and easy living environment for the elderly, where Internet of Things can be used to control all the frequently used home objects by the elderly.
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Paper Nr: 26
Title:

A Model Proposal for Augmented Reality Game Creation to Incentivize Physical Activity
Authors:

José Antonio Cicció and Luis Quesada
Abstract: Obesity and a sedentary lifestyle are relevant issues in today’s society. Even though different resources can be used to approach this problem, technology provides endless possibilities to fight against this problem. This article presents the results of a model to create augmented reality games where goals are achieved by doing physical activity (moving between different places). In order to evaluate the model, a prototype was built and presented to 50 participants. The results obtained indicated that an important percentage of the interviewees were attracted to the idea of playing a game to increase their physical activity.
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Paper Nr: 28
Title:

Medical Imaging: Exams Planning and Resource Assignment - Hybridization of a Metaheuristic and a List Algorithm
Authors:

Nathalie Klement, Nathalie Grangeon and Michel Gourgand
Abstract: The presented work is about optimization of the hospital system. An existing solution is the pooling of resources within the same territory. This may involve different forms of cooperation between several hospitals. Problems of sizing, planning and scheduling may be considered. We define the problem of activities planning with resource assignment. To solve this problem, we propose a hybridization between a metaheuristic and a list algorithm. Single based metaheuristics are used. This proposition requires a new encoding inspired by permutation problems. This method is easy to apply: it combines already known methods. With the proposed hybridization, the constraints to be considered only need to be integrated into the list algorithm. For big instances, the solver used as a reference returns only lower and upper bounds. The results of our method are very promising. It is possible to adapt our method on more complex issues through integration into the list algorithm of the constraints. It would be particularly interesting to test these methods on real hospital authorities to assess their significance.
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Paper Nr: 35
Title:

Uncovering Key Factors for a Hospital IT Change Strategy
Authors:

Noel Carroll, Ita Richardson and Marie Travers
Abstract: Changing an Information Technology (IT) system within any organisation is a difficult and complex process. However, within the hospital setting, additional complexities make such change more difficult. These complexities include the protection of patient safety and privacy, improving the quality of the patient experience, protecting information and supporting the clinician in their medical requirements. Our research indicates that uncovering the process of hospital IT change management is not documented – making it difficult to build on evidence-based research and instill a ‘lessons learned’ approach in publicly funded hospitals. We address this gap in this paper. Using qualitative research methods we present the results of observations carried out in healthcare settings as well as twelve structured interviews with hospital staff. We employ the Kotter Change Model as a lens to understand this change process. While benefiting from the structure that Kotter’s model provides, we argue for the need to extend this model in an effort to capture the various influences of healthcare IT-enabled innovation which will, in turn, enable much needed change within hospitals. Building on our findings, we introduce a Healthcare IT Change Management Model (HIT-CMM).
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Paper Nr: 41
Title:

Static and Dynamic Approaches for Pain Intensity Estimation using Facial Expressions
Authors:

Niloufar Zebarjadi and Iman Alikhani
Abstract: Self-report is the most conventional means of pain intensity assessment in clinical environments. But, it is not an accurate metric or not even possible to measure in many circumstances, e.g. intensive care units. Continuous and automatic pain level evaluation is an advantageous solution to overcome this issue. In this paper, we aim to map facial expressions to pain intensity levels. We extract well-known static (local binary pattern(LBP) and dense scale-invariant feature transform (DSIFT)) and dynamic (local binary patterns on three orthogonal planes (LBP-TOP) and three dimensional scale-invariant feature transform (3D-SIFT)) facial feature descriptors and employ the linear regression method to label a number between zero (no pain) to five (strong pain) to each testing sequence. We have evaluated our methods on the publicly available UNBC-McMaster shoulder pain expression archive database and achieved average mean square error (MSE) of 1.53 and Pearson correlation coefficient (PCC) of 0.79 using leave-one-subject-out cross validation. Acquired results prove the superiority of dynamic facial features compared to the static ones in pain intensity determination applications.
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Paper Nr: 44
Title:

WorkUp: A Mobile Application to Support Health Guidelines
Authors:

Vinicius dos Santos, Henrique Yoshikazu Shishido, Francisco Pereira Junior and Gabrielle Jacklin Eler
Abstract: Objective: This paper presents a model of mobile application to assess patients and prescribe physical exercises offering interaction among health professionals and patients. Methods: The project is based on mobile platform and implemented using client-server architecture and cloud computing for data synchronization in different devices. Results: Health professionals and patients tested our application and answered questionnaire. The results indicate that the functionality and usability are satisfactory adhesion to our app design. Conclusion: Our approach may be a candidate model to government agencies to support in prevention of obesity and improve the health indicators of the patient to a healthier life.
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Paper Nr: 45
Title:

Automatic Visual Detection of Incorrect Endoscope Adaptions in Chemical Disinfection Devices
Authors:

Timo Brune, Björn Brune, Sascha Eschborn and Klaus Brinker
Abstract: This paper presents a complete analyzing system for detecting incorrect endoscope adaptions prior to the use of chemical disinfection devices to guarantee hygienic standards and to save resources. The adaptions are detected visually with the help of an image registration algorithm based on feature detection algorithms. On top of the processing pipeline, we implemented a k-nearest neighbor algorithm to predict the status of the adaption. The proposed approach shows good results in detecting the adaptions correctly.
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Paper Nr: 46
Title:

MATCHuP: An mHealth Tool for Children and Young People Health Promotion
Authors:

Beatriz López, Sreynoch Soung, Natalai Mordvanyuk, Albert Pla, Pablo Gay and Abel López-Bermejo
Abstract: The kids of European and occidental countries are threatened by obesity. They are potential persons to become chronic patients. mHealth technology can help them to change their nutrition and physical activity habits. This paper presents MATCHuP, a platform that involves several agents (kids, parents, healthcare providers) that collaborate and compete by games in a social network in order to create a enjoyable environment to promote a behavioural change towards a healthier life.
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Paper Nr: 55
Title:

Laboratory Information Management System for NGS Genomics Labs
Authors:

Jitao Yang, Shuai Zhu, Guangpeng Xu and Chao Han
Abstract: The goal of genome sequencing is to unravel the ordered sequence of nucleic acids that form the DNA or RNA of a given sample. Genome sequencing lab requires the ability to select and track a large amount of samples through many experimental steps. Therefore, laboratory information management system (LIMS) is needed to provide a way of automating the laboratory experimental procedures and track the samples. LIMSs have been proposed and developed for many years, but still remain difficult for labs to implement successfully. In this paper, we demonstrate our genomic next generation sequencing (NGS) LIMS solution. We developed a web-based LIMS with flexible configuration and customization for NGS laboratories, and can help laboratories track samples and optimize experimental procedures and business workflows. We also describe our solution of integrating LIMS with the existing enterprise business information systems. Finally, we share our experience for the implementation of a successful LIMS.
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Paper Nr: 62
Title:

Acquisition of Confidential Patient Data Over Shared Mobile Device
Authors:

Petr Vcelak, Martin Kryl, Ladislav Racak and Jana Kleckova
Abstract: Mobile devices have already been designed for many applications. Smartphones and tablet computers are modern, widespread and affordable solutions used for various purposes. Nowadays mobile devices are widely used in telemedicine. It is usually assumed, that the device is owned and used by a single person. We focus on security concerns and constraints from a different point of view – when the device is shared. In this paper, we are proposing a novel approach to prevent leakage of patient’s confidential data when the device is used by multiple patients at the hospital’s clinic or department. We present a prototype application and discuss its use case and designed workflow.
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Paper Nr: 67
Title:

A Business Model for Digital Healthcare Environments: An Organic Approach and a Use Case for Handling Cognitive Impairment
Authors:

Andrea Pistorio, Paolo Locatelli, Federica Cirilli, Luca Gastaldi and Simona Solvi
Abstract: Ageing has significant impacts on the organization of healthcare systems and on social inclusion—especially for elderly people affected by Cognitive Impairment (CI). These people are significantly exposed to undeniable risks that can affect their health and wellbeing (falling, malnutrition, hygiene issues, etc.) –especially when living alone. This paper defines a Business Model (BM) allowing independent living for elderly people affected by CI. This BM include: (i) an up-to-date, modular, flexible and scalable organizational model describing the activities to be accomplished by regulators and service suppliers; and (ii) a digital platform based on innovative and easy-to-replicate information and communication technologies. The organic approach to the development of the BM is then focused in an Italian use case as a part of “DECI”, a “Horizon 2020” project with four pilot projects in Israel, Italy, Spain and Sweden.
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Paper Nr: 68
Title:

Voiceguard: Using mHealth Technology for Vocal Health Promotion
Authors:

Christina Cesar Praça Brasil, José Eurico de Vasconcelos Filho, Daniele de Araújo Oliveira Carlos, Thiago de Oliveira Magalhães and Raimunda Magalhães da Silva
Abstract: This study aims to describe the development of an app for mobile devices to assist voice professionals in the management of vocal health. The research was held in two phases, from November 2014 to December 2015: 1) literature review and app stores search and 2) laboratory design, development and usability test. The multimedia feature was chosen for the app design and development, since it favours a motivating and dynamic environment. Teachers, when participating in the usability test, handled the tool for a few hours and issued their opinions. Data were analysed based on content analysis in the thematic mode. The results show the feasibility of the tool development to support and assist professionals in the care of their voice and open new perspectives to show that, in health promotion, technology can create new alternatives for health education and care, empowering the users.
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Paper Nr: 70
Title:

Identifying Key Components of Services in Healthcare in the Context of out-Patient in Norway
Authors:

Eunji Lee
Abstract: This paper discusses components of service in healthcare. Four components of a service (service customer, service worker, service setting and service process) were introduced. Yet these components have not been explored in healthcare cases. We identified the key components through our case study with out-patient histories, involving electronic health record systems. Based on our analysis we propose a set of components to be considered for designing stakeholder-centred services in healthcare. The result of this study might be useful to the health informatics researchers to better understand the service interactions in today’s healthcare in a more analytic and holistic way by taking the service engineering perspective, at the same time to the service engineering or design researchers to have a deeper insight of the services in healthcare and the components to be considered when designing the services.
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Paper Nr: 79
Title:

Augmenting Guideline-based CDSS with Experts’ Knowledge
Authors:

Nekane Larburu, Naiara Muro, Iván Macía, Eider Sánchez, Hui Wang, John Winder, Jacques Boaud and Brigitte Séroussi
Abstract: Over the past years, clinical guidelines have increasingly become part of the clinical daily practice in order to provide best available Evidence-Based-Medicine services. Hence, their formalization as computer interpretable guidelines (CIG) and their implementation in clinical decision support systems (CDSSs) are emerging to support clinicians in their decision making process and potentially improve medical outcomes. However, guideline compliancy in the clinical daily practice is still “low”. Some of the reasons for such low compliance rate are (i) lack of a complete guideline to cover special clinical cases (e.g. oncogeriatric cases), (ii) absence of parameters that current guidelines do not consider (e.g. lifestyle) and (iii) absence of up-to-date guidelines due to lengthy validation procedures. In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts’ knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.
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Paper Nr: 81
Title:

Home Monitoring in Portugal - An Overview on Current Experiences
Authors:

Ana Dias, Madalena Vilas Boas, Daniel Polónia, Alexandra Queirós and Nelson Pacheco da Rocha
Abstract: This paper aims to be a contribution to the discussion on the issue of innovation in healthcare since, in the author’s perspective, the health sector, and particularly the Portuguese National Health Service, needs changes in its "business model". There is a need of redirecting care provision to the citizen’s natural environment, namely considering the opportunities offered by information and communication technologies. For this purpose the authors surveyed projects already implemented in Portugal, within the Portuguese National Health Service, related to home monitoring, in order to make a critical analysis of the state of the art of ongoing projects. In this study, the authors identified four pilot experiences of home monitoring, all targeted at chronic disease. In spite of some results of these experiments are already known, there is a shortage of available information and scientific evidence, both about the implementation processes themselves and about their clinical, technical and economic evaluation, which, in the opinion of the authors, also hinders their assessment and dissemination.
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Paper Nr: 85
Title:

A Disciplined Innovation Approach to Health Technology Solutions
Authors:

Noel Carroll and Ita Richardson
Abstract: Despite the potential of innovation-driven healthcare technology services to increase the quality, accessibility and quality of care, the realization and success of such promise has yet to be achieved. This prompted us to explore the barriers towards success for healthcare software companies and examine what frameworks are employed across industry to support their growth in the digital healthcare market. As part of a three-phase study, this article reports on the first phase – to synthesize the literature on the readiness factors for healthcare technology companies. The findings of this research will guide our second phase of this research in surveying industry healthcare software companies. In so doing, we can establish readiness factors for healthcare software companies with a view to offering a more structured and disciplined approach to healthcare innovation.
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Paper Nr: 89
Title:

Diabetes Among Children (DAC) - Project - Exploring Opportunities with Support from Mobile Applications in a Cross Cultural Indo-Swedish Study
Authors:

Jenny Lundberg, Soniya Billore and Clara Axelsson
Abstract: In this paper we present opportunities and challenges to meet the worldwide challenge of diabetes. Diabetes has devastating long-term complications that cause very great personal suffering and social costs locally and globally. The prevalence of diabetes is increasing globally as an epidemic and affects 415 million people today, which is expected to increase to 642 million in 2040. In this paper we explore possibilities to join in Indo-Swedish R&D collaboration. We present and motivate the research purpose. Furthermore we present a research framework for mobile application development between Sweden and India. The scientific framework is elaborated and this paper ends with specific challenges and further work.
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Paper Nr: 91
Title:

Understanding Users’ Perception on the Trustworthiness of Online Health Information
Authors:

Shijuan Li, Beidi Yu, Jiexi Liu and Biting Huang
Abstract: The evaluation of online health information, i.e. its reliability, credibility, trustworthiness, etc., plays a significant role in the users’ judging and health behaviour change process. Related works haven’t come to a consensus on the framework of trust formation process. Nor much attention has been paid to one of the most active groups of online information users, the youth. This study, from the young people’s perspective, examines the perception and judgment on the trustworthiness towards online health information. To test the design and reveal deficiencies of the study and procedure before time and resources are expended on large-scale studies, a pilot study was designed and conducted. Then semi-structured interviews were employed involving students from two groups: university freshman and the seniors respectively. The preliminary results cover: the exploration of their health information seeking process, factor analysis towards trustworthiness of online health information, the perceptions on HON measures and related health information literacy.
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Paper Nr: 101
Title:

The Need for Trustworthiness Models in Healthcare Software Solutions
Authors:

Raja Manzar Abbas, Noel Carroll, Ita Richardson and Sarah Beecham
Abstract: Trustworthiness in software is of vital importance to technology users, especially in health, where lives may depend on the correct application of software that is fit for purpose. Despite the risk posed by improper use of technology in the health domain, there is evidence to suggest that stakeholders often trust the software without fully appreciating the possible consequences. In this paper, we explore what determines trustworthiness in healthcare software solutions. While there are often claims of improved quality of care, increased safety and improved patient outcomes using healthcare technology – the scientific basis for such claims appear to be uncritically accepted. Ultimately, this can lead to a surge in healthcare software solutions, some of which may be misaligned with healthcare needs and potentially lead to fatal outcomes. To support health technology stakeholders, we propose a ‘trustworthiness healthcare software model’ that can be employed to assess the level of trustworthiness associated with healthcare software solutions.
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Paper Nr: 102
Title:

A Step Towards the Standardisation of HIV Care Practices
Authors:

Cristina-Adriana Alexandru, Daniel Clutterbuck, Petros Papapanagiotou, Jacques Fleuriot and Areti Manataki
Abstract: Recent improvements to HIV care at the NHS Lothian Board have concentrated on a re-mapping of the processes involved in their existing Integrated Care Pathway (ICP), in order to incorporate improvements identified during the ICP implementation and consider new advances in care. Our work aims to extend and enhance this mapping by formalising care workflows using our logic-based tool WorkflowFM. This paper presents our progress to date in terms of methodology and initial findings concerning actors, resources and workflows involved in the first 3 months of HIV care for the Chalmers Sexual Health Centre. We argue that the resulting models and analysis could address some of the difficulties faced by units providing HIV outpatient care.
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Paper Nr: 109
Title:

Exercise and Wellness Health Strategy Framework - Software Prototype for Rapid Collection and Storage of Heterogeneous Health Related Data
Authors:

Petr Brůha, Roman Mouček, Pavel Šnejdar, David Bohmann, Václav Kraft and Peter Rehor
Abstract: Unwillingness of many people to assume responsibilities for a personal health, fitness and wellness seems to be widespread. This can be partially remedied by individualized exercise and wellness program that integrates the basic knowledge domains: lifestyle, sports and fitness, and nutrition and personal/environmental health. However, collection, management and analysis of data and metadata related to these domains is demanding and time consuming task. Moreover, the appropriate annotation of raw data is crucial for their next processing. To promote such a program a software infrastructure for collection, storage, management, analysis and interpretation of health related data and metadata has been proposed and part of this infrastructure has been developed and tested outside laboratory conditions. This software prototype allows experimenters to collect various heterogeneous health related data in a highly organized and efficient way. Data are then evaluated and users can view relevant information related to their health and fitness.
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