bluuebunny/crossref_metadata_2025 huggingface dataset:
A Method for Estimating the Risk Associated with Delaying Initial Treatment in Breast Cancer
Authors: Lenchner Jonathan  , Wayua Charity
Published: February 2025

Over the past twenty-five years the time from diagnosis of breast cancer to the initiation of therapy has steadily grown. In this note we present a mechanism to give a ballpark estimate of the risk associated with delaying therapy given a specific set of presenting patient data.
The Association Between the STOPP/START Criteria and Gastro-Intestinal Track Bleedings in Elderly Patients
Authors: Veldhuis Anouk  , Sent Danielle  , Bruin-Huisman Linette  , Beers Erna  , Abu-Hanna Ameen
Published: February 2025

Potentially inappropriate prescribing is a common problem, especially in elderly care. To tackle this problem, Irish medical experts have developed a list of criteria when medication should be added or omitted based upon the patient's physical condition and medication use, known as the STOPP and START criteria. The STOPP and START criteria have been formulated to identify the prescribing of potentially inappropriate medicines (PIMs) and potential prescribing omissions (PPOs). One of the most common problems of inappropriate prescribing is gastro-intestinal track bleedings. For this purpose, nine of the 87 STOPP and START criteria are designed to prevent this. However, the prevalence of gastro-intestinal track bleedings has not been established when these nine STOPP and START criteria are violated. The database contained 182,000 patients belonging to 49 general practitioners in the region of Amsterdam, The Netherlands. We estimated both the incidence of PIMs and PPOs and whether harm, in this case a gastro-intestinal track bleeding, occurred. We found that although violation of the nine STOPP or START criteria were possibly associated with harm (OR = 1.30), this association was not statistically significant (p = 0.323). Searching for evidence for harm informs decision support design aimed at improving quality of medication prescription as it prioritizes the many suggested criteria based on their relevance.
Internet of Things in Health Trends Through Bibliometrics and Text Mining
Authors: Konstantinidis Stathis Th.  , Billis Antonis  , Wharrad Heather  , Bamidis Panagiotis D.
Published: February 2025

Recently a new buzzword has slowly but surely emerged, namely the Internet of Things (IoT). The importance of IoT is identified worldwide both by organisations and governments and the scientific community with an incremental number of publications during the last few years. IoT in Health is one of the main pillars of this evolution, but limited research has been performed on future visions and trends. Thus, in this study we investigate the longitudinal trends of Internet of Things in Health through bibliometrics and use of text mining. Seven hundred seventy eight (778) articles were retrieved form The Web of Science database from 1998 to 2016. The publications are grouped into thirty (30) clusters based on abstract text analysis resulting into some eight (8) trends of IoT in Health. Research in this field is obviously obtaining a worldwide character with specific trends, which are worth delineating to be in favour of some areas.
Predicting the Pathogenic Impact of Sequence Variation in the Human Genome
Authors: Rogers Mark F.  , Shihab Hashem A.  , Ferlaino Michael  , Gaunt Tom R.  , Campbell Colin
Published: February 2025

Sequencing data will become widely available in clinical practice within the near future. Uptake of sequence data is currently being stimulated within the UK through the government-funded 100,000 genomes project (Genomics England), with many similar initiatives being planned and supported internationally. The analysis of the large volumes of data derived from sequencing programmes poses a major challenge for data analysis. In this paper we outline progress we have made in the development of predictors for estimating the pathogenic impact of single nucleotide variants, indels and haploinsufficiency in the human genome. The accuracy of these methods is enhanced through the development of disease-specific predictors, trained on appropriate data, and used within a specific disease context. We outline current research on the development of disease-specific predictors, specifically in the context of cancer research.
Development of a Multidisciplinary and Telemedicine Focused System Database
Authors: Paštěka Richard  , Forjan Mathias  , Sauermann Stefan
Published: February 2025

Background: Tele-rehabilitation at home is one of the promising approaches in increasing rehabilitative success and simultaneously decreasing the financial burden on the healthcare system.
Arden Syntax MLM Building Blocks for Microbiological Concepts and Their Application in Infection Surveillance
Authors: de Bruin Jeroen S.  , Koller Walter  , Zeckl Julia  , Blacky Alexander  , Rappelsberger Andrea  , Adlassnig Klaus-Peter
Published: February 2025

Background: The diagnosis – and hence definitions – of healthcare-associated infections (HAIs) rely on microbiological laboratory test results in specific constellations.
A First Standardized Swiss Electronic Maternity Record
Authors: Murbach Michel  , Martin Sabine  , Denecke Kerstin  , Nüssli Stephan
Published: February 2025

Background: During the nine months of pregnancy, women have to regularly visit several physicians for continuous monitoring of the health and development of the fetus and mother. Comprehensive examination results of different types are generated in this process; documentation and data transmission standards are still unavailable or not in use. Relevant information is collected in a paper-based maternity record carried by the pregnant women.
New Service Excellence Model for eHealth and AAL Solutions – A Framework for Continuous New Service Development
Authors: Kriegel Johannes  , Reckwitz Luise  , Auinger Klemens  , Tuttle-Weidinger Linda  , Schmitt-Rüth Stephanie  , Kränzl-Nagl Renate
Published: February 2025

The development of eHealth and AAL (Ambient Assisted Living) services with the aim to reduce the complexity of living environments for the elderly often does not lead to the desired results on the market. The design of an eHealth/AAL specific framework for continuous New Service Development is presented in this paper. Our research addresses this challenge with a new Service Excellence Model (SEM) and outlines the benefits of this specific approach. The research is based on the data of the DALIA project (Assistant for DAily LIfe Activities at Home) and the PenAAL project (Performance Measurement Index for AAL solutions), parts of which the projects were the classification of relevant business dimensions and the development of a related scoring tool for continuous benchmarking and improvement.
Disease Monitoring Related Adherence and Its Association with Mortality in Lower Austrian Diabetes Patients
Authors: Vilsecker Daniel  , Mitsch Christoph  , Geroldinger Angelika  , Endel Gottfried  , Duftschmid Georg
Published: February 2025

Background: Patient adherence is an important component of an efficient therapy. For diabetes patients it may contribute to controlled glucose values and reduction of adverse outcomes.
Plausibility of Individual Decisions from Random Forests in Clinical Predictive Modelling Applications
Authors: Hayn Dieter  , Walch Harald  , Stieg Jörg  , Kreiner Karl  , Ebner Hubert  , Schreier Günter
Published: February 2025

Background: Machine learning algorithms are a promising approach to help physicians to deal with the ever increasing amount of data collected in healthcare each day. However, interpretation of suggestions derived from predictive models can be difficult.
Architecture for Variable Data Entry into a National Registry
Authors: Goossen William
Published: February 2025

Introduction: The Dutch perinatal registry required a new architecture due to the large variability of the submitted data from midwives and hospitals. The purpose of this article is to describe the healthcare information architecture for the Dutch perinatal registry.
Increasing the Discovery and Use of Non-Patent Literature (NPL): Scientific Publications in Patent Examination
Authors: Loizides Fernando  , Diallo Barrou  , Pollard Andrew  , Mavri Aekaterini
Published: February 2025

In this work we present findings on non-patent literature use, and specifically scientific publications such as academic articles. We interview patent examiners and observe their prior art searching in order to provide insights into the perceived usage of non-patent literature and produce high level requirements for advancing non-patent literature search tools.
Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network
Authors: Gharehbaghi Arash  , Sepehri Amir A.  , Lindén Maria  , Babic Ankica
Published: February 2025

This paper presents results of a study on the applicability of the intelligent phonocardiography in discriminating between Ventricular Spetal Defect (VSD) and regurgitation of the atrioventricular valves. An original machine learning method, based on the Time Growing Neural Network (TGNN), is employed for classifying the phonocardiographic recordings collected from the pediatric referrals to a children hospital. 90 individuals, 30 VSD, 30 with the valvular regurgitation, and 30 healthy subjects, participated in the study after obtaining the informed consents. The accuracy and sensitivity of the approach is estimated to be 86.7% and 83.3%, respectively, showing a good performance to be used as a decision support system.
A Suggested Model for Building Robust Biomedical Implants Registries
Authors: Aloufi Bader  , Alshagathrah Fahad  , Househ Mowafa
Published: February 2025

Registries are an essential source of information for clinical and non-clinical decision-makers; because they provide evidence for post-market clinical follow-up and early detection of safety signals for biomedical implants. Yet, many of todays biomedical implants registries are facing a variety of challenges relating to a poorly designed dataset, the reliability of inputted data and low clinician and patient participation. The purpose of this paper is to present a best practice model for the implementation and use of biomedical implants registries to monitor the safety and effectiveness of implantable medical devices. Based on a literature review and an analysis of multiple national relevant registries, we identified six factors that address contemporary challenges and are believed to be the keys for building a successful biomedical implants registry, which include: sustainable development, international comparability, data reliability, purposeful design, ease of patient participation, and collaborative development at the national level.
A Review of the Factors Associated with the Adoption of Accounting Information Systems in Gulf Countries
Authors: Hammour Hadal  , Househ Mowafa  , Razzak Hira Abdul
Published: February 2025

This review attempts to elucidate the significance of accounting information systems within healthcare settings in the Gulf regions. Information and communication technologies (ICT) has provided accounting system the ability to help an organization use and develop computerized systems to record and track financial transactions. Accounting information systems, if well implemented, can permit healthcare sectors in the Gulf regions to produce reports that can support the decision making process. Additional abilities of an accounting information systems include faster processing, enriched accuracy, amplified functionality, and improved external reporting. Training of hospital staff can help in enhancing the use of accounting information systems in gulf hospitals.
Semantic Web, Reusable Learning Objects, Personal Learning Networks in Health: Key Pieces for Digital Health Literacy
Authors: Konstantinidis Stathis Th.  , Wharrad Heather  , Windle Richard  , Bamidis Panagiotis D.
Published: February 2025

The knowledge existing in the World Wide Web is exponentially expanding, while continuous advancements in health sciences contribute to the creation of new knowledge. There are a lot of efforts trying to identify how the social connectivity can endorse patients' empowerment, while other studies look at the identification and the quality of online materials. However, emphasis has not been put on the big picture of connecting the existing resources with the patients “new habits” of learning through their own Personal Learning Networks. In this paper we propose a framework for empowering patients' digital health literacy adjusted to patients' currents needs by utilizing the contemporary way of learning through Personal Learning Networks, existing high quality learning resources and semantics technologies for interconnecting knowledge pieces. The framework based on the concept of knowledge maps for health as defined in this paper. Health Digital Literacy needs definitely further enhancement and the use of the proposed concept might lead to useful tools which enable use of understandable health trusted resources tailored to each person needs.
Relational Algebra in Spatial Decision Support Systems Ontologies
Authors: Diomidous Marianna  , Chardalias Kostis  , Koutonias Panagiotis  , Magnita Adrianna  , Andrianopoulos Charalampos  , Zimeras Stelios  , Mechili Enkeleint Aggelos
Published: February 2025

Decision Support Systems (DSS) is a powerful tool, for facilitates researchers to choose the correct decision based on their final results. Especially in medical cases where doctors could use these systems, to overcome the problem with the clinical misunderstanding. Based on these systems, queries must be constructed based on the particular questions that doctors must answer. In this work, combination between questions and queries would be presented via relational algebra.
Accreditation and Certification in Health Informatics: Principles and Procedures
Authors: Mantas John
Published: February 2025

Accreditation is an important process ensuring quality of academic programs in Biomedical Informatics. Certification ensures standards in knowledge and skills of professionals in Health Informatics. The process of Accreditation is analyzed for its pros and cons. Procedures are applied to ensure the completion of accreditation of a program is transparent, objective and leads in quality qualifications. Finally, the logistics required for Accreditation are calculated in terms of human resources as well to meeting cost expectations.
Residence as a Diagnostic and Therapeutic Area – A Smart Home Approach
Authors: Mielke Corinna  , Voss Thorsten  , Haux Reinhold
Published: February 2025

The “research apartment Halberstadtstraße” (HSS) in Braunschweig, Germany, is the attempt to realize a personal living environment as a room for diagnostics and therapy with the support of health-enabling and ambient assistive technologies (HEAAT). As a research tool, the HSS will enable the efficient implementation of new HEAAT and help in evaluating these under controlled real-life conditions. This new research tool will therefore be the missing link between artificial laboratory and complete real-life conditions. For a defined period, selected subjects can live in the HSS and experience the benefit of such a “Smart Home”. The academic support in a real-life controlled living-environment enables continuous monitoring of behavior patterns and habits of healthy and ill persons, evaluation of new HEAAT, and conduction of requirements analysis and acceptance studies.
Creating XML/PHP Interface for BAN Interoperability
Authors: Fragkos Vasileios  , Katzis Konstantinos  , Despotou Georgios
Published: February 2025

Recent advances in medical and electronic technologies have introduced the use of Body Area Networks as a part of e-health, for constant and accurate monitoring of patients and the transmission as well as processing of the data to develop a holistic Electronic Health Record. The rising global population, different BAN manufacturers and a variety of medical systems pose the issue of interoperability between BANs and systems as well as the proper way to propagate medical data in an organized and efficient manner. In this paper, we describe BANs and propose the use of certain web technologies to address this issue.
Socialising Health Burden Through Different Network Topologies: A Simulation Study
Authors: Peacock Adrian  , Cheung Anthony  , Kim Peter  , Poon Simon K.
Published: February 2025

An aging population and the expectation of premium quality health services combined with the increasing economic burden of the healthcare system requires a paradigm shift toward patient oriented healthcare. The guardian angel theory described by Szolovits [1] explores the notion of enlisting patients as primary providers of information and motivation to patients with similar clinical history through social connections. In this study, an agent based model was developed to simulate to explore how individuals are affected through their levels of intrinsic positivity. Ring, point-to-point (paired buddy), and random networks were modelled, with individuals able to send messages to each other given their levels of variables positivity and motivation. Of the 3 modelled networks it is apparent that the ring network provides the most equal, collective improvement in positivity and motivation for all users. Further study into other network topologies should be undertaken in the future.
Unplanned Returns to Hospital Care: A Linked Data Study
Authors: Smith Kathy  , Iannotti Renee
Published: February 2025

The linkage of data across facilities and settings of care provides a holistic view of the patient journey through the healthcare system. This study, through data linkage, reviews alternative approaches to the measurement of unplanned returns to care in NSW public hospital emergency departments and admitted patient care settings. The study shows that existing measures of unplanned returns do not identify the true extent of these events and highlight the need to develop new approaches to measurement using the increasing availability of integrated patient information.
SnoMAP: Pioneering the Path for Clinical Coding to Improve Patient Care
Authors: Lawley Michael  , Truran Donna  , Hansen David  , Good Norm  , Staib Andrew  , Sullivan Clair
Published: February 2025

The increasing demand for healthcare and the static resources available necessitate data driven improvements in healthcare at large scale. The SnoMAP tool was rapidly developed to provide an automated solution that transforms and maps clinician-entered data to provide data which is fit for both administrative and clinical purposes. Accuracy of data mapping was maintained.
The Role of Health Literacy in Professional Education and Training
Authors: Aldoory Linda
Published: February 2025

This chapter marks the territory and leadership potential found in research, practice and policy related to the role of health literacy in higher education and professional training. There is limited published work that has summarized the role and scope of health literacy in higher education and professional training. This chapter will provide a review of the research in the area, a description of some of the educational practices in health literacy, and a case example of how policy might influence the role of health literacy in professional higher education.
Understanding the Conceptual Importance of the Differences Among Health Literacy Definitions
Authors: Sørensen Kristine  , Pleasant Andrew
Published: February 2025

This chapter aims to provide an overview of health literacy definitions, how the definitional work on health literacy has developed, and why it is important to understand the conceptual differences among diverse definitions. Since the introduction of the term ‘health literacy’ in the 1970s, research interest has grown exponentially.
The Health Information National Trends Survey (HINTS): A Resource for Consumer Engagement and Health Communication Research
Authors: Hesse Bradford W.  , Greenberg Alexandra J.  , Peterson Emily B.  , Chou Wen-Ying Sylvia
Published: February 2025

The contemporary healthcare system can help improve health literacy outcomes in two ways: first, by nurturing the skills and motivations needed for patients to be actively engaged in their own health and healthcare decisions; and, second, by creating a prepared and proactive healthcare system that adapts to patients' capacities and needs in efficacious ways. In 2001, the National Cancer Institute launched the Health Information National Trends Survey (HINTS) as a way for researchers and planners to understand how the public is interacting with a rapidly changing health information environment. Original iterations of the HINTS national probability sampling strategies took place on a biennial basis, but in subsequent years the protocol moved to a yearly administration. This yields a rich resource of cross-sectional, national surveillance data to evaluate for trends across and within vulnerable populations. Sixteen studies are presented from the published literature to illustrate how HINTS data were used to explore constructs of direct interest to health literacy researchers. Suggestions are given for how this ongoing public surveillance mechanism can be used: (a) to provide a sentinel view of how the public is interacting with information in the environment to address their health needs; (b) to generate research questions and hypotheses for further exploration using complementary methodologies; and (c) to explore the diffusion of new health communication channels within and between segments of the national population.
A Quality, Benefit, Cost, and Financial Framework for Health Information Technology, E-Prescribing: A Delphi Study
Authors: DeMuro Paul R.  , Ash Joan  , Middleton Blackford  , Fletcher Justin  , Madison Cecelia J.
Published: February 2025

Background. Little research has been conducted about the quality, benefits, costs, and financial considerations associated with health information technology (HIT), particularly informatics technologies, such as e-prescribing, from the perspective of all its stakeholders.
Dissemination Strategy of Ambient Assisted Living Project Experience
Authors: McConalogue Eoghan  , Davis Paul  , Connolly Regina
Published: February 2025

In an emerging research area, it is imperative that best practice strategies are developed with regard to dissemination of the associated research findings. This paper is a review of strategic methods used to disseminate the results of ongoing research on two ambient assisted living technologies that are being developed with funding.
Human Behavior Drift Detection in a Smart Home Environment
Authors: Masciadri Andrea  , Trofimova Anna A.  , Matteucci Matteo  , Salice Fabio
Published: February 2025

The proposed system aims at elderly people independent living by providing an early indicator of habits changes which might be relevant for a diagnosis of diseases. It relies on Hidden Markov Model to describe the behavior observing sensors data, while Likelihood Ratio Test gives the variation within different time periods.
The Application of CSCL Scripts to Support Teaching and Learning for Children with Intellectual Disabilities
Authors: Boyle Bryan  , Arnedillo-Sánchez Inmaculada
Published: February 2025

This paper describes the application of collaboration scripts to guide social interaction behaviours of children with intellectual disabilities. The use of such scripts demonstrate potential as a means of creating CSCL environments that can be used to provide children with communication and social interaction impairments with a platform for learning and practicing such skills in a meaningful social context.
User Centered Reading Intervention for Individuals with Autism and Intellectual Disability
Authors: Yakkundi Anita  , Dillenburger Karola  , Goodman Lizbeth  , Dounavi Katerina
Published: February 2025

Individuals with autism and intellectual disability (ID) have complex learning needs and often have difficulty in acquiring reading comprehension skills using conventional teaching tools. Evidence based reading interventions for these learners and the use of assistive technology and application of behaviour analysis to develop user-centered teaching is discussed in this paper.
Android-Based Daily Routine Organizing Application for Elementary School Students Living with ASD
Authors: Barta Eva A.  , Guzsvinecz Tibor  , Sik Lanyi Cecilia  , Szucs Veronika
Published: February 2025

Today, more and more children with Autism Spectrum disorder are diagnosed, which means that around 1% of the population is concerned. Most of the concerned can acquire daily routine tasks by a bit of help and can fit in the society. As Besio et al. said, “…play is an instinctive need for both humans….In children with disabilities, depending on the type of functional limitations, the spontaneity of play is lost and the activity becomes problematic. Children with cognitive and intellectual impairments have a difficulties in communication, social interactions,….Since play is also a window for children's cognitive development, children may be perceived as more developmentally delayed than they actually are, leading to reduce expectations on the part of adults.” The aim of the authors was to create an Android based application which helps 6–9 year old children living with Autism Spectrum disorder to learn everyday tasks and acquire everyday routine.
ISi-Speech: A Digital Training System for Acquired Dysarthria
Authors: Frieg Hendrike  , Muehlhaus Juliane  , Ritterfeld Ute  , Bilda Kerstin
Published: February 2025

Speech impairment like dysarthria poses a major risk to participation in society due to reduced speech intelligibility. This paper focuses on the ongoing development of the technology-based pilot training system, ISi-Speech, for treatment of dysarthria incorporating automatic speech recognition, a psychological model of motivation and evidence-based exercises.
A User-Centred Approach Exploring the Potential of a Novel EMG Switch for Control of Assistive Technology
Authors: Judge Simon  , Nasr Nasrin  , Hawley Mark
Published: February 2025

This study examines the potential application of an EMG technology as an assistive control method for individuals with severe physical disabilities. The usability and acceptability of a prototype EMG switch was evaluated with health care professionals, researchers and end users using participatory approaches.
Embedded Systems and TensorFlow Frameworks as Assistive Technology Solutions
Authors: Mulfari Davide  , Palla Alessandro  , Fanucci Luca
Published: February 2025

In the field of deep learning, this paper presents the design of a wearable computer vision system for visually impaired users. The Assistive Technology solution exploits a powerful single board computer and smart glasses with a camera in order to allow its user to explore the objects within his surrounding environment, while it employs Google TensorFlow machine learning framework in order to real time classify the acquired stills. Therefore the proposed aid can increase the awareness of the explored environment and it interacts with its user by means of audio messages.
Four Models to Guide AT Projects Intending Innovative Technology Development Outcomes
Authors: Lane Joseph P.
Published: February 2025

Generating innovations – including Assistive Technology products or services – requires expertise in project planning and management. University faculty and small businesses ventures often lack such expertise for development and production tasks, yet governments allocate most funding to these sectors. They need help to achieve results. Four evidence-based models now exist to guide investigators intending to generate AT innovations in: 1) standards/guidelines; 2) tools/ instruments; 3) freeware or 4) commercial products.
Cross-Cultural Adaptation of a Decision Support System for AT Selection
Authors: Auger C.  , Mortenson W.B.  , Chenel V.  , Jutai J.  , Guay M.
Published: February 2025

Older adults may benefit from decision support systems for the selection of assistive technologies. We present a case study cross-cultural adaptation in Canada of a system developed in the United Kingdom. We describe a conceptual framework for examining challenges with cultural and literacy issues and ways to address them.
Standardization of Care and Assistive Products Involving Robot Technology
Authors: Yamada Yoji  , Kurachi Kunio
Published: February 2025

An ongoing Japan-wide project for the development and deployment of care and assistive robotic devices is being followed by a program of standardizing some of the outcome technologies while focusing on safe usage. We examine the concept defining the required standard as robotic technology is introduced. Fundamentally, this involves the application of the existing safety standard for service robots used to improve the quality of life. We expect that this program will contribute to enhancing safety in device usage, and further expand the device market by constructing a structure for sharing roles of supporting both the manufacturers and users.
Applying Game Thinking to Slips, Trips and Falls Prevention
Authors: Dewick Paul  , Stanmore Emma
Published: February 2025

Gamification is about the way in which ‘game thinking’ can engage participants and change behaviours in real, non-game contexts. This paper explores how game thinking can be applied to help prevent slips, trips and falls (STF), which are the largest cause of accidental death in older people across Europe. The paper contributes to the assistive technology, digital health and computer science/human behaviour communities by responding to a gap in the literature for papers detailing the innovation process of developing interventions to improve health and quality of life. The aim of the paper is of interest to the many stakeholders involved in enabling older people to live independent, confident, healthy and safe lives in the community.
Involving Users in the Evaluation of Apps for Specific Health Conditions
Authors: Powell Lauren  , Joddrell Phil  , Parker Jack
Published: February 2025

With rapid growth of Internet accessibility over recent years, the way in which we engage with healthcare services and make decisions about our own healthcare has changed. One form of engagement with the Internet is through the use of mobile applications (apps) via mobile devices such as smartphones and tablets. As a result of this, many apps have been developed to target people with varying long term conditions. These apps may aim to help educate individuals about their condition or help them to manage it. Assessing the quality of these apps is crucial especially when considering the risks associated with providing misleading information or unsubstantiated claims. This has led to a growing body of research assessing the quality of apps aimed at people living with varying long term conditions. These attempts have not involved service users to address the suitability of apps for their intended target audiences. This paper presents two examples of how service users and associated healthcare professionals can be involved in the suitability assessment of mobile apps for children and young people with Attention Deficit Hyperactivity Disorder and those living with dementia.
Recommendations for Age-Appropriate Mobile Application Design
Authors: Darvishy Alireza  , Hutter Hans-Peter
Published: February 2025

This paper presents recommendations for avoiding or eliminating unnecessary barriers to mobile application usage by older generations. It sets out ten areas of age-appropriate application design. The aim of this paper is to help ensure that the design of mobile applications, including assistive applications, is accessible for elderly persons.
Towards Standardised Information Exchange Regarding the Accessibility of Public Transport in Germany
Authors: Heck Helmut  , Wallbruch Rainer
Published: February 2025

In the innovation project DELFIplus a concept for standardised information on accesssibility of public transport facilities in Germany as a basis for a nationwide electronic journey planner has been elaborated and demonstrated. A handbook describes a pragmatic methodology how to implement the integrated information services in a decentralised structure of information providers.
Inertial Measurement Techniques for Human Joints' Movement Analysis
Authors: Nwaizu Harriet  , Saatchi Reza  , Burke Derek
Published: February 2025

Development and assessment of techniques that allow inertia measurement units consisting of an accelerometer and a gyroscope to be used for monitoring human joints' movements are presented. A new wavelet packet decomposition technique was developed that denoised the accelerometer signals. Investigations on the use of accelerometers to analyse legs' movements are described.
Introducing an AT Passport: A Key to Managing Transitions Across the Lifespan
Authors: Long Siobhán  , Banes David  , O'Donnell Joan  , Richardson Pierce
Published: February 2025

The service delivery of Assistive Technology for access to information and communications technology is frequently fragmented and inconsistent as evidenced by experience in the US and much of Europe (AAATE 2012). AT users can experience hiatuses in their access to appropriate assistive technologies as they transition from home to education, to employment and in the community. An AT Passport can provide a record of Assistive Technology requirement and use across the lifespan.
MotorSense: Using Motion Tracking Technology to Support the Identification and Treatment of Gross-Motor Dysfunction
Authors: Arnedillo-Sánchez Inmaculada  , Boyle Bryan  , Bossavit Benoît
Published: February 2025

MotorSense is a motion detection and tracking technology that can be implemented across a range of environments to assist in detecting delays in gross-motor skills development. The system utilises the motion tracking functionality of Microsoft's Kinect™. It features games that require children to perform graded gross-motor tasks matched with their chronological and developmental ages. This paper describes the rationale for MotorSense, provides an overview of the functionality of the system and illustrates sample activities.
Wireless as Enabler of Innovation in 21
Authors: Ball Eddie  , Vasileiadis Athanasios
Published: February 2025

This paper overviews new and emerging wireless technologies that could positively impact on the lives of the elderly or disabled, as Social Care users of Assistive Technology (AT) for ‘independent living’. Novel Internet of Things (IoT) radio systems and wireless locating systems being researched at The University of Sheffield are discussed in the context of Social Care technology use-cases.
Extraction Methodology of Implicit Didactics in Math Schoolbooks for the Blind
Authors: Jitngernmadan Prajaks  , Stöger Bernhard  , Petz Andrea  , Miesenberger Klaus
Published: February 2025

The implicit didactic information embedded in the theoretical part of math schoolbooks is one of the keys for successful learning mathematics, but mostly reserved for sighted students. Thus, the methodology for analyzing this theoretical part of selected math schoolbooks is developed for extracting this implicit didactic information, which will be made accessible. Combined with the blind students' teaching methods in classrooms, a dialog-based assistant concept is suggested for covering core didactics for teaching the blind.
Inclusive Competitive Game Play Through Balanced Sensory Feedback
Authors: Westin Thomas  , Söderström David  , Karlsson Olov  , Peiris Ranil
Published: February 2025

While game accessibility has improved significantly the last few years, there are still barriers for equal participation and multiplayer issues have been less researched. Game balance is here about making the game fair in a player versus player competitive game. One difficult design task is to balance the game to be fair regardless of visual or hearing capabilities, with clearly different requirements. This paper explores a tentative design method for enabling inclusive competitive game-play without individual adaptations of game rules that could spoil the game. The method involved applying a unified design method to design an unbalanced game, then modifying visual feedback as a hypothetical balanced design, and testing the game with totally 52 people with and without visual or hearing disabilities in three workshops. Game balance was evaluated based on score differences and less structured qualitative data, and a redesign of the game was made. Conclusions are a tentative method for balancing a multiplayer, competitive game without changing game rules and how the method can be applied.
Identification of Measures and Indicators for the IT Security of Networked Medical Devices: A Delphi Study
Authors: Leber Stefan  , Ammenwerth Elske
Published: February 2025

The networking of medical devices or systems in a hospital network is the foundation for modern medical diagnostics and therapy. This, however, makes possible numerous hazards that could lead to risks for patients, clinical processes or data and information. The aim of the work was to develop a catalogue of measures and indicators for the effective support of the IT risk management process in a health facility. Through a qualitative and quantitative Delphi study among 21 experts, it was possible to identify an initial 51 practice-relevant measures of IT risk management that a hospital should implement. Additionally, 27 indicators were defined which can be used to measure the impact of these measures. Of the 51 measures, 35 were seen as especially important, particularly organizational measures. Of the 27 indicators, six were seen as especially important, particularly indicators to measure networking effectiveness. The study also investigated the impact of the measures on the indicators. A case study is planned to investigate the practicability of the identified measures and indicators.
An Abstraction Layer to Facilitate Technical Interoperability Between Medical Records and Knowledge Modules
Authors: Staudigel Martin  , Prokosch Hans-Ulrich  , Kraus Stefan
Published: February 2025

Integrating clinical decision support (CDS) functions into an existing hospital information system (HIS) is often a tedious task. This problem area is so pervasive that the Arden Syntax, a widely used standard for CDS functions, assigned a specific designation, the so-called “curly braces problem”. It derives from a pair of curly braces used to encapsulate any parameters required for the interactions with a HIS. The traditional approach is to leave the problem area of technical interoperability entirely to the specific institution, possibly entailing a considerable amount of initial programming work. This study describes a reusable and expandable solution to this problem in the form of an abstraction layer. Our study comprised an analytical phase in which we investigated the data source access capabilities of five Arden Syntax environments. Building on the results, we implemented a working prototype that is capable of querying heterogeneous data sources, which facilitates a straightforward connection of new data sources with existing and future communication protocols and standards. From our point of view, the technical aspects of the “curly braces problem” with respect to data source access have changed over the years, insofar as technical progress lead to defacto standards for data storage, data querying and inter-system communication. An agreement on such a convention, together with the supply of commonly used data source adapters could promote the further dissemination of the Arden Syntax as a standard for representing and sharing medical knowledge.
Data Collection of Medication – Impact of Autocompletion in eCRFs on Efficiency and Data Quality
Authors: Naziyok Tolga P.  , Feeken Corinna  , Zeleke Atinkut A.  , Dörks Michael  , Röhrig Rainer
Published: February 2025

Objective: Openclinica Input Completion (OIC) was developed to increase the efficiency to enter drugs in eCRF in OpenClinica®. The aim of the study was to evaluate the impact on efficiency and data quality as well as usability.
A Customizable Importer for the Clinical Data Warehouses PaDaWaN and I2B2
Authors: Fette Georg  , Kaspar Mathias  , Dietrich Georg  , Ertl Maximilian  , Krebs Jonathan  , Stoerk Stefan  , Puppe Frank
Published: February 2025

In recent years, clinical data warehouses (CDW) storing routine patient data have become more and more popular to support scientific work in the medical domain. Although CDW systems provide interfaces to import new data, these interfaces have to be used by processing tools that are often not included in the systems themselves. In order to establish an extraction-transformation-load (ETL) workflow, already existing components have to be taken or new components have to be developed to perform the load part of the ETL. We present a customizable importer for the two CDW systems PaDaWaN and I2B2, which is able to import the most common import formats (plain text, CSV and XML files). In order to be run, the importer only needs a configuration file with the user credentials for the target CDW and a list of XML import configuration files, which determine how already exported data is indented to be imported. The importer is provided as a Java program, which has no further software requirements.
Use of EHR Data to Identify Factors Affecting the Time to Fall
Authors: Jung Hyesil  , Park Hyeoun-Ae
Published: February 2025

Although there are many studies of falls occurring in a hospital setting, research on factors affecting time to fall after admission is scarce. It is important for nurses to identify factors contributing to an early fall so that they can pay particular attention to patients with such factors. In this study, patients who sustained a fall were extracted from an adverse event reporting system and narrative nursing records of those hospitalized between January 2015 and May 2016. We used the electronic health records of ten different data sources to extract fall-related variables; the data were integrated according to normalization criteria. Univariate and multiple linear regression analyses were used to identify factors influencing the time to fall from admission. About 49% of fallers fell within the first week after admission. A walking disorder, comorbid disease, intravenous therapy, and arterial lines were related to early falls.
BarCode Medication Administration in ICU: Learning from Our Nurses
Authors: Maydana Thelma  , Giraldo Liliana  , González Zulma  , Schachner Bibiana  , Mayan John  , Luna Daniel  , Benítez Sonia
Published: February 2025

Errors during drug administration stage represent a significant percentage of adverse events associated with health care. Its prevalence is higher in critical care units, due to vulnerable patient population, characteristics of intensive care as well as complexity of pharmacotherapy. Errors can occur at any stage of the medication cycle although they often occur during administration, so nurses' role in prevention is essential. The bar code medication administration (BCMA) technology increases patient safety by instituting control time, but a poorly designed system or a faulty implementation can lead to low utilization in future. This paper describes implementation, evaluation, detection of problems and search for their possible solutions of a BCMA system in the intensive care unit at Hospital Italiano de Buenos Aires.
Precision of EMR Data: The Case for a Drug and Alcohol Service
Authors: Qian Siyu  , Munyisia Esther  , Yu Ping  , Hailey David  , Reid David
Published: February 2025

Error-laden data can negatively affect clinical and operational decision making, research findings and funding allocation. This study examined the number and types of data errors in an electronic medical record (EMR) system in a Drug and Alcohol service. Specifically, errors in service data were examined. Three months after the implementation of the EMR system, 9,379 errors were identified from ten error reports generated between March 2015 and May 2016. The errors were grouped into four types: mismatched data fields (60.5%), duplicate medical record error (3.2%), date/time error (8.8%) and blank field error (27.4%). The errors can be prevented by adding functions, such as alert messages in the EMR system. How and why the errors occur need to be investigated in future studies.
Usability Evaluation of an EHR's Clinical Notes Interface from the Perspective of Attending and Resident Physicians: An Exploratory Study
Authors: Rizvi Rubina F.  , Marquard Jenna L.  , Seywerd Marcus A.  , Adam Terrence J.  , Elison Jed T.  , Hultman Gretchen M.  , Harder Kathleen A.  , Melton Genevieve B.
Published: February 2025

Usability gaps between current and future improved Electronic Health Record (EHR) system designs exist due to insufficient incorporation of User-Centered Design (UCD) principles during System Development Life Cycle (SDLC). Usability of a commercial, inpatient EHR clinical notes documentation interface was analyzed from standpoints of two provider groups employing two standardized patient cases. Both objective and subjective data were collected from attending (n = 6) and resident physicians (n = 8) through usability testing employing a mixed method approach. The study results suggested that (i) EHR usability and desirability is influenced by user characteristics, (ii) workloads associated with H&P and progress notes writing are perceived differently between two groups, (iii) repeated task performance improves user efficiency and (iv) user performance is correlated to their subjective system assessments. Understanding usability of clinical documentation interface from perspectives of two different user groups, provides interface designers with an opportunity to develop an EHR system centered on UCD principles.
Using Therapeutic Circles to Visualize Guideline-Based Therapeutic Recommendations for Patients with Multiple Chronic Conditions: A Case Study with GO-DSS on Hypertension, Type 2 Diabetes, and Dyslipidemia
Authors: Séroussi Brigitte  , Galopin Alexandre  , Gaouar Mouhssin  , Pereira Suzanne  , Bouaud Jacques
Published: February 2025

Clinical decision support systems (CDSSs) have proven to potentially improve the compliance of physician decisions with clinical practice guidelines (CPGs). However, actual patients suffer from multiple conditions and CPGs that are usually single-disease-focused provide disease-specific recommendations with no support on how to manage adverse interactions between the recommended treatments. We have developed GO-DSS, a CDSS that implements an ontological reasoning process to perform CPG reconciliation. GO-DSS is applied to the concurrent management of hypertension, type 2 diabetes, and dyslipidemia. We proposed an innovative graphical interface to display medication recommendations as “therapeutic circles”. A qualitative evaluation of the system and of this graphical layout has been performed on simulated patient cases by a sample of 12 users with various backgrounds (think aloud method). The resulting usability of the system is highly appreciated with a mean rating of 90.7% according to the standardized System Usability Scale.
CD-KES: An Ontology Based Knowledge Education System for Patients with Chronic Diseases and Its Constructing Approach
Authors: Wu Chengkai  , Gou Ling  , Wang Yu  , Shang Yong  , Tian Yu  , Li Jing-song
Published: February 2025

Patients' participation plays a crucial role in the management of chronic diseases. Educating patients about their diseases allows patients to self-regulate their daily health conditions more reasonably and effectively. This study focuses on an informative way to develop daily education and guidance among patients. We provide a systematic approach to establish, process, and present the knowledge map of chronic diseases. An ontology technique is used to model clinical knowledge and rules. Rule-based inference service is constructed based on the RETE reasoning algorithm. Several considerations in semantic visualization and interaction are listed as recommendations. A prototype of Chronic Disease Knowledge Education System (CD-KES) based on this approach has been built for diabetes mellitus. With the prototype, comparative evaluations for system performances in knowledge querying and browsing are taken. The results shows the system can help patients to more easily understand medical knowledge and avoid potential negative consequences.