bluuebunny/crossref_metadata_2025 huggingface dataset:
Theoretical Foundations for Evidence-Based Health Informatics: Why? How?
Authors: Scott Philip J.  , Georgiou Andrew  , Hyppönen Hannele  , Craven Catherine K.  , Rigby Michael  , Brender McNair Jytte
Published: February 2025

A scientific approach to health informatics requires sound theoretical foundations. Health informatics implementation would be more effective if evidence-based and guided by theories about what is likely to work in what circumstances. We report on a Medinfo 2015 workshop on this topic jointly organized by the EFMI Working Group on Assessment of Health Information Systems and the IMIA Working Group on Technology Assessment and Quality Development. We discuss the findings of the workshop and propose an approach to consolidate empirical knowledge into testable middle-range theories.
Simplified Deployment of Health Informatics Applications by Providing Docker Images
Authors: Löbe Matthias  , Ganslandt Thomas  , Lotzmann Lydia  , Mate Sebastian  , Christoph Jan  , Baum Benjamin  , Sariyar Murat  , Wu Jie  , Stäubert Sebastian
Published: February 2025

Due to the specific needs of biomedical researchers, in-house development of software is widespread. A common problem is to maintain and enhance software after the funded project has ended. Even if many tools are made open source, only a couple of projects manage to attract a user basis large enough to ensure sustainability. Reasons for this include complex installation and configuration of biomedical software as well as an ambiguous terminology of the features provided; all of which make evaluation of software laborious. Docker is a para-virtualization technology based on Linux containers that eases deployment of applications and facilitates evaluation. We investigated a suite of software developments funded by a large umbrella organization for networked medical research within the last 10 years and created Docker containers for a number of applications to support utilization and dissemination.
Dynamic User Interfaces for Service Oriented Architectures in Healthcare
Authors: Schweitzer Marco  , Hoerbst Alexander
Published: February 2025

Electronic Health Records (EHRs) play a crucial role in healthcare today. Considering a data-centric view, EHRs are very advanced as they provide and share healthcare data in a cross-institutional and patient-centered way adhering to high syntactic and semantic interoperability. However, the EHR functionalities available for the end users are rare and hence often limited to basic document query functions. Future EHR use necessitates the ability to let the users define their needed data according to a certain situation and how this data should be processed. Workflow and semantic modelling approaches as well as Web services provide means to fulfil such a goal. This thesis develops concepts for dynamic interfaces between EHR end users and a service oriented eHealth infrastructure, which allow the users to design their flexible EHR needs, modeled in a dynamic and formal way. These are used to discover, compose and execute the right Semantic Web services.
Teaching Universal Design in the Early Stages of a Design Curriculum: Involving End Users in a Student Project
Authors: Wilson Wendell  , Choi Young Mi  , Jones Brian
Published: February 2025

Introducing Universal Design (UD) early in the design curriculum provides design students with a basic foundational understanding of the Universal Design principles and processes. Additionally, by guiding students on the application of the UD principles and process in designing a solution to a real-world need, students experienced the challenges and tradeoffs such design requires. In Spring 2016, teams of Sophomore-level Industrial Design students were assigned an educational exercise to solve a real-world problem of barriers experienced by people with disabilities during grocery shopping. Students employed the UD process in designing a shopping device enhanced with mobile/wireless enabled features that would be usable by a wide range of users. The shopping device had to function effectively and meet the needs of the general public (men, women, tall, short, etc) while simultaneously meeting the needs of users who have other physical and perceptual limitations such as mobility limitations and visual impairments. In this paper, we discuss the key steps of the educational exercise, as well as lessons learned for improving the exercise for future courses.
Shopping with Acquired Brain Injuries, Coping Strategies and Maslowian Principles
Authors: Andersson Jonas E.  , Skehan Terry  , Rydén Monica  , Lagerkrans Elisabeth
Published: February 2025

A positive outcome of the modern welfare state is prolonged life expectancy. In Sweden, the expected life span has increased with approximatively 25 years during the 20th century [Statistics Sweden]. However, ageing is associated with an increased risk for acquiring cognitive and physical disabilities. This study is based on anonymized interviews with groups of older persons who experience cognitive problems and relatives. The interviewees were asked about everyday activities like shopping groceries, clothes or other necessities. The interviewees identified problems and described a series of strategies for coping. This paper uses fictionalized characters to present problems and coping strategies that the interviewees use to overcome cognitive challenges when shopping groceries. The strategies range from complete withdrawal, an increased dependency on proxies to the development of elaborate techniques to mask their problem and obtain assistance. Following the current trend in the design of the Swedish sales environment – large scale, abundance of goods and Maslowian strategies for making people stay longer (and spend more money) – accessibility in the built environment is often an absent friend.
Multidisciplinary Procedures for Designing Housing Adaptations for People with Mobility Disabilities
Authors: Sukkay Sasicha
Published: February 2025

Based on a 2013 statistic published by Thai with Disability foundation, five percent of Thailand's population are disabled people. Six hundred thousand of them have mobility disability, and the number is increasing every year. To support them, the Thai government has implemented a number of disability laws and policies. One of the policies is to better disabled people's quality of life by adapting their houses to facilitate their activities. However, the policy has not been fully realized yet—there is still no specific guideline for housing adaptation for people with disabilities. This study is an attempt to address the lack of standardized criteria for such adaptation by developing a number of effective ones. Our development had 3 objectives: first, to identify the body functioning of a group of people with mobility disability according to the international classification functioning concept (ICF); second, to perform post-occupancy evaluation of this group and their houses; and third, with the collected data, to have a group of multidisciplinary experts cooperatively develop criteria for housing adaptation. The major findings were that room dimensions and furniture materials really had an impact on accessibility and toilet as well as bed room were the most difficult areas to access.
Universal Access in Heritage Sites: A Case Study on Historic Sites in Jaipur, India
Authors: Vardia Shweta  , Khare Rachna  , Khare Ajay
Published: February 2025

A nation is recognized by a range of its significant historical, cultural and natural properties. These properties are generally preserved and maintained either by national administration or by private owners and charitable trusts due to higher value of their cultural inheritance and termed globally as heritage or historic sites. Heritage sites are a significant asset, a unique and irreplaceable resource which reflects a rich and diverse expression of past societies and forms an integral part of local, regional and national cultural identity. Today, heritage sites also play an important role in communication and knowledge exchange. Thus the rapidly increasing heritage tourism industry faces several challenges too. One of the challenges is that there is a segment of society who is not yet able to equally enjoy the visit to historic structures/sites and attractions, facilities and services. This paper aims to study the experience and develop understanding regarding the heritage structures/sites approached and interacted by diverse users. This study is an outcome of a hands on workshop conducted with diverse users at various historic sites in the city of Jaipur viz. at The City Palace Complex, Jaipur, Jaigarh Fort and the Haveli at Kanota near to Jaipur India.
Computational Intelligence in Interior Design: State-of-the-Art and Outlook
Authors: Racec Emil  , Budulan Stefania  , Vellido Alfredo
Published: February 2025

Tasks in architectural and interior design range from defining the building floor plans and ensuring desired functionality, to deciding furnishing styles and arrangement choices. The process of design, as a whole, has remained hard to master for computer-based optimization in general and for computational intelligence approaches in particular. Numerous attempts to tackle different subfields of this problem in a machine learning fashion have emerged over the last few years. In this paper, we present an overview of current advances of computational intelligence in architectural science with a focus on interior design. This is accompanied by the description of ongoing research towards the development of a commercial robust and scalable solution for automatic furniture arrangement.
A Population-Level Data Analytics Portal for Self-Administered Lifestyle and Mental Health Screening
Authors: Zhang Xindi  , Warren Jim  , Corter Arden  , Goodyear-Smith Felicity
Published: February 2025

This paper describes development of a prototype data analytics portal for analysis of accumulated screening results from eCHAT (electronic Case-finding and Help Assessment Tool). eCHAT allows individuals to conduct a self-administered lifestyle and mental health screening assessment, with usage to date chiefly in the context of primary care waiting rooms. The intention is for wide roll-out to primary care clinics, including secondary school based clinics, resulting in the accumulation of population-level data. Data from a field trial of eCHAT with sexual health questions tailored to youth were used to support design of a data analytics portal for population-level data. The design process included user personas and scenarios, screen prototyping and a simulator for generating large-scale data sets. The prototype demonstrates the promise of wide-scale self-administered screening data to support a range of users including practice managers, clinical directors and health policy analysts.
Genetic Disorders of the Renal Tubule
Authors: Root Allen W.
Published: February 2025

The embryology, anatomy, and physiology of the multi-functional proximal renal tubule, thick descending tubule, thin, and thick ascending limbs of the loop of Henle, distal convoluted tubule, connecting tubule, and collecting duct are described. The clinical manifestations and biochemical abnormalities of the four forms of renal tubular acidosis (RTA: Type 1 – Distal tubule, Type 2 – Proximal tubule, Type 3 – Mixed, Type 4 – Hypoaldosteronism) are presented. Forms of pseudohypoaldosteronism are then reviewed. The pathophysiology and genetic variations underlying the Bartter, Gittleman, Liddle, and Fanconi syndromes are presented.
Design and Implementation of a Universal QC-LDPC Encoder
Authors: Yi Qian  , Jing Han
Published: February 2025

This paper designed a programmable processor based on multiple instruction multiple data (MIMD) structure, to realize the quasi-cyclic low density parity check code (QC-LDPC) coding algorithm for the wireless LAN (WLAN) and the worldwide interoperability for microwave access (WIMAX). Compared with the traditional LDPC encoder, the processor uses a programmable concatenation-operation to achieve matrix-vector multiplication, obtains high computation speed and easy chip layout. The RTL code of the processor has been written with the Verilog language on the Xilinx ISE platform, and is synthesized on the FPGA chip XC2VP20. Its maximum clock frequency is 75MHz. The experimental results show that the structure is suitable for multi standard LDPC encoder.
On Top of Topics: Leveraging Topic Modeling to Study the Dynamic Case-Law of International Courts
Authors: Panagis Yannis  , Christensen Martin Lolle  , Šadl Urška
Published: February 2025

Legal scholars study international courts by analyzing only a fraction of available material, which leaves doubts as to whether their accounts correctly capture the dynamics of international law. In this paper we use dynamic topic modeling, a family of unsupervised machine learning techniques, to gauge the shifts in the content of the case-law of international courts over longer time spans. Our results indicate that dynamic topic modeling is a powerful and reliable tool to systematically and accurately track legal change over time and enhance our understanding of courts and their influence on the law.
Nurse Leadership and Informatics Competencies: Shaping Transformation of Professional Practice
Authors: Kennedy Margaret Ann  , Moen Anne
Published: February 2025

Nurse leaders must demonstrate capacities and develop specific informatics competencies in order to provide meaningful leadership and support ongoing transformation of the healthcare system. Concurrently, staff informatics competencies must be planned and fostered to support critical principles of transformation and patient safety in practice, advance evidence-informed practice, and enable nursing to flourish in complex digital environments across the healthcare continuum. In addition to nurse leader competencies, two key aspects of leadership and informatics competencies will be addressed in this chapter – namely, the transformation of health care and preparation of the nursing workforce.
The Professional Association's Perspective on Nursing Informatics and Competencies in the US
Authors: Bickford Carol J.
Published: February 2025

The American Nurses Association (ANA) recognized nursing informatics as a nursing specialty in 1992, developed the first scope and standards of nursing informatics practice in the mid-1990s, and remains the custodian and steward of each document revision. Over the past two decades, the definition of nursing informatics, scope of practice statement, and framework of the standards of practice have evolved to now include a collection of competencies for the informatics nurse and informatics nurse specialist. The American Nurses Credentialing Center (ANCC), an ANA subsidiary, created and maintains a nursing informatics certification program that offers a board certification credential to qualified applicants, including international nurse colleagues. Such a certification program is intended to assess and publicly recognize competence of the informatics nurse.
Nursing Informatics Education: From Automation to Connected Care
Authors: Skiba Diane J.
Published: February 2025

The use of health information technologies has evolved over the last 50 years. These technologies have moved from the automation of data and data processing to connected care tools that are part of a health care ecosystem that provides the best care at the point of care. To correspondence with the evolution of technologies and their disruptions within the health care delivery system, there is a need to re-examine the necessary competencies of health care professionals.
Selfies of Sickness: The Use of Video Diaries with Chronically Ill Children
Authors: Karisalmi Nina  , Nieminen Mika P.
Published: February 2025

This paper describes the use of video diaries as a tool for understanding children's patient experience and as a potential method for directly gathering patient experience information from children. It was hypothesized that this method would uncover otherwise hidden knowledge about children ages 10–16 years with chronic illnesses. The aim of this paper is to assess the potential applicability of this method as a standalone tool for the public healthcare sector to capture and better understand the patient experiences as a basis for continuous service development. Therefore, this paper does not describe the results on children's patient experiences. The video diaries proved to offer rich data, but certain shortcomings were also identified. Motivating teens, especially boys, was found to be difficult. Needed changes are addressed, and suggestions for future work are presented.
Patient-Centred Design of Healthcare Services: Meaningful Events as Basis for Patient Experiences of Families
Authors: Mannonen Petri  , Kaipio Johanna  , Nieminen Mika P.
Published: February 2025

Patient experience has become a crucial part of the quality of any healthcare service. Experiences and their structures are not however trivial phenomena that are easy to describe and model. Instead, subjective and dynamic experiences seem to escape definitions and measurements. In order to map the dimensions and dynamics of patient experiences of families, i.e. experiences in families where one or more children are or have been seriously ill, we conducted in depth interviews with 17 parents. Both the interview structure and analysis were based on the technology as experience framework, which states that products and services are not just used but lived with. The results of our study describe patient experiences that are rich and complex yet structurally similar in their manifestations and development. Event-based and situational patient experience emerges through meaningful events relating to the patient's illness. The experiences evolve through new events as well as patient's reflections on past events and in the framing of the current situation. The presented situational patient experience model can be utilized to evaluate and design healthcare services.
Mobile Audience Response Systems at a Continuing Medical Education Conference
Authors: Beaumont Alexandra  , Gousseau Michael  , Sommerfeld Connor  , Leitao Darren  , Gooi Adrian
Published: February 2025

Background: Mobile audience response systems (mARS) are electronic systems allowing speakers to ask questions and audience members to respond anonymously and immediately on a screen which enables learners to view their peers' responses as well as their own. mARS encourages increased interaction and active learning.
Mapping Local Codes to Read Codes
Authors: Bonney Wilfred  , Galloway James  , Hall Christopher  , Ghattas Mikhail  , Tramma Leandro  , Nind Thomas  , Donnelly Louise  , Jefferson Emily  , Doney Alexander
Published: February 2025

Background & Objectives: Legacy laboratory test codes make it difficult to use clinical datasets for meaningful translational research, where populations are followed for disease risk and outcomes over many years. The Health Informatics Centre (HIC) at the University of Dundee hosts continuous biochemistry data from the clinical laboratories in Tayside and Fife dating back as far as 1987. However, the HIC-managed biochemistry dataset is coupled with incoherent sample types and unstandardised legacy local test codes, which increases the complexity of using the dataset for reasonable population health outcomes. The objective of this study was to map the legacy local test codes to the Scottish 5-byte Version 2 Read Codes using biochemistry data extracted from the repository of the Scottish Care Information (SCI) Store.
Critical Success Factors and Engagement Methodology for Successful Project Delivery
Authors: Tourond Darryl  , Moore Haley  , Kotani Nancy
Published: February 2025

TELUS Health will share its critical success factors and engagement methodology to successfully deliver a project on time, while meeting the client's vision.
Thought Spot: Co-Creating Mental Health Solutions with Post-Secondary Students
Authors: Wiljer David  , Johnson Andrew  , McDiarmid Erica  , Abi-Jaoude Alexxa  , Ferguson Genevieve  , Hollenberg Elisa  , van Heerwaarden Nicole  , Tripp Tim  , Law Marcus
Published: February 2025

It is difficult for the nearly 20% of Canadian 15- to 24-year olds reporting symptoms to seek the help they need within the current mental health system. Web-based and mobile health interventions are promising tools for reaching this group; having the capacity to reduce access-to-service barriers and engage youth in promoting their mental well-being. A three-phased, iterative, co-creation developmental approach was used to develop Thought Spot, a platform to better enable post-secondary students to seek mental health support. Co-creation activities included student development teams, hosting a hackathon, conducting focus groups and evidence-based workshops and student advisory groups. Evaluation results highlighted the need for greater role clarity and strategies for sustainable engagement in the co-creation process. Lessons learned are informing the project optimization phase and will be utilized to inform the design and implementation of an RCT, assessing impact on help seeking behaviour.
Collaborators and Communication Channels in Eight Patient-Centered Medical Homes
Authors: Chase Dian A.  , Dorr David A.  , Cohen Deborah J.  , Ash Joan S.
Published: February 2025

Background: The patient-centered medical home (PCMH) concept requires collaboration among clinicians both within the medical home clinic, and outside the clinic. As we redesign health information technology (HIT) to support transformation to the PCMH, we need to better understand these collaboration patterns. This study provides quantitative data describing these collaborations in order to facilitate the design of systems to allow for more efficient collaboration.
Infrastructure and Capacity Building for Semantic Interoperability in Healthcare in the Netherlands
Authors: Cornet Ronald
Published: February 2025

Over 15 years, a broad spectrum of activities was undertaken to realize a health IT infrastructure in the Netherlands. In this paper we reflect on the history, challenges, accomplishments, changes, and the way forward. It shows that the infrastructure depends on technical, legal, and semantic aspects, which are frequently reciprocally related. It also highlights the fact that the role of health professionals and of patients is increasingly considered as a crucial element.
Randomized Trial of Population-Based Clinical Decision Support to Facilitate Care Transitions
Authors: Eisenstein Eric L.  , Willis Janese M.  , Edwards Rex  , Anstrom Kevin J.  , Kawamoto Kensaku  , Fiol Guilherme Del  , Johnson Fred S.  , Lobach David F.
Published: February 2025

Medicaid beneficiaries in 6 North Carolina counties were randomly assigned to 1 of 3 clinical decision support (CDS) care transition strategies: (1) usual care (Control), (2) CDS messaging to patients and their medical homes (Reports), or (3) CDS messaging to patients, their medical homes, and their care managers (Reports+). We included 7146 Medicaid patients and evaluated transitions from specialist visit, ER and hospital encounters back to the patient's medical home. Patients enrolled in Medicare and Medicaid were not eligible. The number of care manager contacts was greater for patients in the Reports+ Group than in the Control Group. However, there were no treatment-related differences in emergency department (ED) encounter rates, or in the secondary outcomes of outpatient and hospital encounter rates and medical costs. Study monitors found study intervention documentation in approximately 60% of patient charts. These results highlight the importance of effectively integrating information interventions into healthcare delivery workflow systems.
Epidemiological Models Lacking Process Noise Can Be Overconfident
Authors: Shpigelman Lavi  , Chorev Michal  , Waks Zeev  , Goldschmidt Ya'ara  , Michael Edwin
Published: February 2025

Mathematic models of epidemics are the key tool for predicting future course of disease in a population and analyzing the effects of possible intervention policies. Typically, models that produce deterministic are applied for making predictions and reaching decisions. Stochastic modeling methods present an alternative. Here, we demonstrate by example why it is important that stochastic modeling be used in population health decision support systems.
Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data
Authors: Stausberg Jürgen  , Waldenburger Andreas  , Borgs Christian  , Schnell Rainer
Published: February 2025

Record linkage (RL) is the process of identifying pairs of records that correspond to the same entity, for example the same patient. The basic approach assigns to each pair of records a similarity weight, and then determines a certain threshold, above which the two records are considered to be a match. Three different RL methods were applied under privacy-preserving conditions on hospital admission data: deterministic RL (DRL), probabilistic RL (PRL), and Bloom filters. The patient characteristics like names were one-way encrypted (DRL, PRL) or transformed to a cryptographic longterm key (Bloom filters). Based on one year of hospital admissions, the data set was split randomly in 30 thousand new and 1,5 million known patients. With the combination of the three RL-methods, a positive predictive value of 83 % (95 %-confidence interval 65 %-94 %) was attained. Thus, the application of the presented combination of RL-methods seem to be suited for other applications of population-based research.
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data
Authors: Ozery-Flato Michal  , Yanover Chen  , Gottlieb Assaf  , Weissbrod Omer  , Parush Shear-Yashuv Naama  , Goldschmidt Yaara
Published: February 2025

We present a framework for feature engineering, tailored for longitudinal structured data, such as electronic health records (EHRs). To fast-track feature engineering and extraction, the framework combines general-use plug-in extractors, a multi-cohort management mechanism, and modular memoization. Using this framework, we rapidly extracted thousands of features from diverse and large healthcare data sources in multiple projects.
Using Statistics and Data Mining Approaches to Analyze Male Sexual Behaviors and Use of Erectile Dysfunction Drugs Based on Large Questionnaire Data
Authors: Qiao Zhi  , Li Xiang  , Liu Haifeng  , Zhang Lei  , Cao Junyang  , Xie Guotong  , Qin Nan  , Jiang Hui  , Lin Haocheng
Published: February 2025

The prevalence of erectile dysfunction (ED) has been extensively studied worldwide. Erectile dysfunction drugs has shown great efficacy in preventing male erectile dysfunction. In order to help doctors know drug taken preference of patients and better prescribe, it is crucial to analyze who actually take erectile dysfunction drugs and the relation between sexual behaviors and drug use. Existing clinical studies usually used descriptive statistics and regression analysis based on small volume of data. In this paper, based on big volume of data (48,630 questionnaires), we use data mining approaches besides statistics and regression analysis to comprehensively analyze the relation between male sexual behaviors and use of erectile dysfunction drugs for unravelling the characteristic of patients who take erectile dysfunction drugs. We firstly analyze the impact of multiple sexual behavior factors on whether to use the erectile dysfunction drugs. Then, we explore to mine the Decision Rules for Stratification to discover patients who are more likely to take drugs. Based on the decision rules, the patients can be partitioned into four potential groups for use of erectile dysfunction: high potential group, intermediate potential-1 group, intermediate potential-2 group and low potential group. Experimental results show 1) the sexual behavior factors, erectile hardness and time length to prepare (how long to prepares for sexual behaviors ahead of time), have bigger impacts both in correlation analysis and potential drug taking patients discovering; 2) odds ratio between patients identified as low potential and high potential was 6.098 (95% confidence interval, 5.159-7.209) with statistically significant differences in taking drug potential detected between all potential groups.
Design and Validation of a Platform to Evaluate mHealth Apps
Authors: Philpott Daniel  , Guergachi Aziz  , Keshavjee Karim
Published: February 2025

Emerging technologies show great potential in the field of patient care. One such technology is mobile heath applications (mhealth apps), which have exploded in number and variety in recent years, and offer great promise in the ability to collect and monitor patient health data. Despite their apparent success in proliferation and user adoption, these applications struggle to integrate into the primary care system and there is scant information regarding their efficacy to effect patient behavior and consequently health outcomes. In this paper we investigate the potential of a promising clinical evaluation methodology, response adaptive randomized clinical trials, to rapidly and effectively evaluate the efficacy and effectiveness of mhealth apps and to personalize mhealth app selection to individualize patient benefit. Diabetes prevention provides the use case for evaluating the case for and against response-adaptive randomized trials.
Using Healthcare Work Process Modelling in Hospitals to Increase the Fit Between the Healthcare Workflow and the Electronic Medical Record
Authors: Morquin David  , Ologeanu-Taddei Roxana  , Watbled Ludivine
Published: February 2025

As with other organizations, hospitals tend to promote unrealistic expectations related to software implementaton. Quite often the real issue is a misfit between the software and organizational factors. Our paper shows how work process modelling within the hospital can reduce this misfit according to the vision developped by the ergonomics and the management of information systems. This idea is supported by two cases in two different University Hospitals in France, in which using work process modelling lead to identification of problems and their causes, and solutions. Modelling requires time, which may be considered costly by senior hospital managers, but also should be considered as an investment in order to achieve expected goals.
Reference Architecture Model Enabling Standards Interoperability
Authors: Blobel Bernd
Published: February 2025

Advanced health and social services paradigms are supported by a comprehensive set of domains managed by different scientific disciplines. Interoperability has to evolve beyond information and communication technology (ICT) concerns, including the real world business domains and their processes, but also the individual context of all actors involved. So, the system must properly reflect the environment in front and around the computer as essential and even defining part of the health system. This paper introduces an ICT-independent system-theoretical, ontology-driven reference architecture model allowing the representation and harmonization of all domains involved including the transformation into an appropriate ICT design and implementation. The entire process is completely formalized and can therefore be fully automated.
Combining Archetypes, Ontologies and Formalization Enables Automated Computation of Quality Indicators
Authors: Legaz-García María del Carmen  , Dentler Kathrin  , Fernández-Breis Jesualdo Tomás  , Cornet Ronald
Published: February 2025

ArchMS is a framework that represents clinical information and knowledge using ontologies in OWL, which facilitates semantic interoperability and thereby the exploitation and secondary use of clinical data. However, it does not yet support the automated assessment of quality of care. CLIF is a stepwise method to formalize quality indicators. The method has been implemented in the CLIF tool which supports its users in generating computable queries based on a patient data model which can be based on archetypes. To enable the automated computation of quality indicators using ontologies and archetypes, we tested whether ArchMS and the CLIF tool can be integrated. We successfully automated the process of generating SPARQL queries from quality indicators that have been formalized with CLIF and integrated them into ArchMS. Hence, ontologies and archetypes can be combined for the execution of formalized quality indicators.
The BioTop Family of Upper Level Ontological Resources for Biomedicine
Authors: Schulz Stefan  , Boeker Martin  , Martinez-Costa Catalina
Published: February 2025

BioTop is a domain upper level ontology for the life sciences, based on OWL DL, introduced ten years ago. This paper provides an update of the current state of this resource, with a special focus on BioTop's top level, BioTopLite, which currently contains 55 classes, 37 object properties and 247 description logics axioms. A bridging file allows harmonising BioTopLite with the classes of Basic Formal Ontology BFO2. The updated OWL resources are available at http://purl.org/biotop. They build the core of several upper level ontological artefacts including bridging ontologies to other upper level resources.
Assistive Solutions in Practice: Experiences from AAL Pilot Regions in Austria
Authors: Ates Nesrin  , Aumayr Georg  , Drobics Mario  , Förster Kristina Maria  , Frauenberger Christopher  , Garschall Markus  , Kofler Manfred  , Krainer Daniela  , Kropf Johannes  , Majcen Kurt  , Oberzaucher Johannes  , Piazolo Felix  , Rzepka Angelika  , Sauskojus Julia  , Schneider Cornelia  , Stainer-Hochgatterer Andreas  , Sturm Nadine  , Waibel Uli  , Willner Viktoria
Published: February 2025

Since 2012 six AAL pilot regions were launched in Austria. The main goal of these pilot regions is to evaluate the impact of AAL technologies in daily use considering the entire value chain. Additionally, go-to market strategies for assistive technologies based on an involvement of all relevant stakeholders are developed. Within this paper an overview of the specific objectives, approaches and the status of all Austrian AAL pilot regions is given. Taking into account the different experiences of the different pilot regions, specific challenges in establishing, implementing and sustaining pilot region projects are discussed and lessons-learned are presented. Results show that a careful planning of all project phases taking into account available resources is crucial for the successful implementation of an AAL pilot region. In particular, this applies to all activities related to the active involvement of end-users.
Semantic Technologies for Re-Use of Clinical Routine Data
Authors: Kreuzthaler Markus  , Martínez-Costa Catalina  , Kaiser Peter  , Schulz Stefan
Published: February 2025

Routine patient data in electronic patient records are only partly structured, and an even smaller segment is coded, mainly for administrative purposes. Large parts are only available as free text. Transforming this content into a structured and semantically explicit form is a prerequisite for querying and information extraction. The core of the system architecture presented in this paper is based on SAP HANA in-memory database technology using the SAP Connected Health platform for data integration as well as for clinical data warehousing. A natural language processing pipeline analyses unstructured content and maps it to a standardized vocabulary within a well-defined information model. The resulting semantically standardized patient profiles are used for a broad range of clinical and research application scenarios.
Data Quality- and Master Data Management – A Hospital Case
Authors: Arthofer Klaus  , Girardi Dominic
Published: February 2025

Poor data quality prevents the analysis of data for decisions which are critical for business. It also has a negative impact on business processes. Nevertheless the maturity level of data quality- and master data management is still insufficient in many organizations nowadays. This article discusses the corresponding maturity of companies and a management cycle integrating data quality- and master data management in a case dealing with benchmarking in hospitals. In conclusion if data quality and master data are not properly managed, structured data should not be acquired in the first place due to the added expense and complexity.
VR Medical Gamification for Training and Education
Authors: Nicola Stelian  , Virag Ioan  , Stoicu-Tivadar Lăcrămioara
Published: February 2025

The new virtual reality based medical applications is providing a better understanding of healthcare related subjects for both medical students and physicians. The work presented in this paper underlines gamification as a concept and uses VR as a new modality to study the human skeleton. The team proposes a mobile Android platform application based on Unity 5.4 editor and Google VR SDK. The results confirmed that the approach provides a more intuitive user experience during the learning process, concluding that the gamification of classical medical software provides an increased interactivity level for medical students during the study of the human skeleton.
Open Dataset for the Automatic Recognition of Sedentary Behaviors
Authors: Possos William  , Cruz Robinson  , Cerón Jesús D.  , López Diego M.  , Sierra-Torres Carlos H.
Published: February 2025

Background: Sedentarism is associated with the development of noncommunicable diseases (NCD) such as cardiovascular diseases (CVD), type 2 diabetes, and cancer. Therefore, the identification of specific sedentary behaviors (TV viewing, sitting at work, driving, relaxing, etc.) is especially relevant for planning personalized prevention programs.
Adaptive Workflows for Diabetes Management: Self-Management Assistant and Remote Treatment for Diabetes
Authors: Contreras Iván  , Kiefer Stephan  , Vehi Josep
Published: February 2025

Diabetes self-management is a crucial element for all people with diabetes and those at risk for developing the disease. Diabetic patients should be empowered to increase their self-management skills in order to prevent or delay the complications of diabetes. This work presents the proposal and first development stages of a smartphone application focused on the empowerment of the patients with diabetes. The concept of this interventional tool is based on the personalization of the user experience from an adaptive and dynamic perspective. The segmentation of the population and the dynamical treatment of user profiles among the different experience levels is the main challenge of the implementation. The self-management assistant and remote treatment for diabetes aims to develop a platform to integrate a series of innovative models and tools rigorously tested and supported by the research literature in diabetes together the use of a proved engine to manage workflows for healthcare.
Trust – Essential Requirement and Basis for pHealth Services
Authors: Ruotsalainen Pekka  , Blobel Bernd
Published: February 2025

Trust is a social code and glue between persons and organizations in any business domain including health. pHealth is a complex concept that is built around health service providers, individuals and artefacts such as sensors, mobile devices, networks, computers, and software applications. It has many stakeholders such as organizations, persons, patients, customers, and tele-operators. pHealth services are increasingly offered in insecure information space, and used over organizational, geographical and jurisdictional borders. This all means that trust is an essential requirement for successful pHealth services. To make pHealth a successful business, organizations offering pHealth services should establish inter-organizational trust and trusted relationship between their customers. Before starting to use services, the pHealth user should have a possibility to define how much it trusts on the service provider and on the surrounding information infrastructure. The authors' analysis show that trust models used in today's health care and e-commerce are insufficient for networked pHealth. Calculated trust as proposed by the authors is stronger than the predefined dispositional trust model currently used in health care, other's recommendations used in e-commerce and risk assessment. Until now, caused by the lack of business incentive, lack of regulatory and political pressure, pHealth providers have not demonstrated meaningful interest in moving from the current unsatisfactory situation to trust calculation by making information necessary for this methodology available. To make pHealth successful, a combination of legal, political, organizational, technological and educational efforts is needed to initiate the paradigm change and start the era of trust-based pHealth services.
OpenAIRE: Supporting the H2020 Open Access Mandate
Authors: Koukounidou Vasiliki (Sylvia) V.
Published: February 2025

This paper will focus on the practices used by the OpenAIRE Cyprus National Open Access Desk as part of a pan-European network, for the implementation of the European Union's vision and policies for Open Science and Open Access to knowledge. Furthermore, the purpose of this paper is to present the scope, the role and the actions of the European Project OpenAIRE – Open Access Infrastructure for Research in Europe, which since 2009 is working towards the support of the European Commission's policies for Open Science. By definition “Open Science represents a new approach to the scientific process based on cooperative work and new ways of diffusing knowledge by using digital technologies and new collaborative tools. The idea captures a systemic change to the way science and research have been carried out for the last fifty years: shifting from the standard practices of publishing research results in scientific publications towards sharing and using all available knowledge at an earlier stage in the research process [1]”.
Distance to Veterans Administration Medical Centers as a Barrier to Specialty Care for Homeless Women Veterans
Authors: Gawron Lori M.  , Pettey Warren B.P.  , Redd Andrew M.  , Suo Ying  , Gundlapalli Adi V.
Published: February 2025

Homeless women Veterans have a high prevalence of chronic mental and physical conditions that necessitate frequent healthcare visits, but travel burdens to specialty services may be overwhelming to navigate for this population, especially for those in rural settings. Access to specialty care is a key priority in the Veterans Health Administration (VHA) and understanding the geographic distribution and rural designation of this population in relation to medical centers (VAMC) can assist in care coordination. We identified 41,747 women Veterans age 18–44y with administrative evidence of homelessness in the VHA anytime during 2002–2015. We found 7% live in rural settings and 29% live >40miles from a VAMC. The mean travel distance for homeless women Veterans with a rural designation to a VAMC specialty center was 107 miles. Developing interventions to overcome this travel burden and engage vulnerable Veterans in necessary care can improve overall health outcomes for this high-risk population.
Medical Informatics Idle YouTube Potential
Authors: Hucíková Anežka  , Babic Ankica
Published: February 2025

YouTube as an online video-sharing service in the context of Web 2.0 goes beyond the bounds of pure fun, for which the platform was primarily established. Nowadays, commonly to other social media, it serves also educational, informational and last but not least, marketing purposes. The importance of video sharing is supported by several predictions about video reaching over 90% of global internet traffic by 2020. Using qualitative content analysis over selected YouTube videos, paper examines the current situation of the platform's marketing potential usage by medical informatics organizations, researches and other healthcare professionals. Results of the analysis demonstrate several ways in which YouTube is already used to inform, educate or promote above-mentioned medical institutions. However, their engagement in self-promo or spreading awareness of their research projects via YouTube is considered to be low.
Health Informatics Scientists' Perception About Big Data Technology
Authors: Minou John  , Routsis Fotios  , Gallos Parisis  , Mantas John
Published: February 2025

The aim of this paper is to present the perceptions of the Health Informatics Scientists about the Big Data Technology in Healthcare. An empirical study was conducted among 46 scientists to assess their knowledge about the Big Data Technology and their perceptions about using this technology in healthcare. Based on the study findings, 86.7% of the scientists had knowledge of Big data Technology. Furthermore, 59.1% of the scientists believed that Big Data Technology refers to structured data. Additionally, 100% of the population believed that Big Data Technology can be implemented in Healthcare. Finally, the majority does not know any cases of use of Big Data Technology in Greece while 57,8% of the them mentioned that they knew use cases of the Big Data Technology abroad.
Health Informatics and Wellbeing by Enhanced Knowledge Formalisation
Authors: Fiorini Rodolfo A.
Published: February 2025

Only once we agree upon our understanding of what words really mean can we debate whether a concept, represented by those words, is or not well represented significantly in specific application. In a previous paper we presented an innovative point of view on deeper wellbeing understanding towards its increased, effective Health Informatics and clinical usage and applications. Medicine was always the art and science of healing. The science became more and more a mechanistic technology; the art was dropped altogether. Uncertainty-as-problem in the past is slowly morphing into the evolutive concept of uncertainty-as-resource. The key change performance factor is education, distinguishing from classic, contemporary education and a new one, based on a more reliable control of learning uncertainty. Conceptual clarity, more than instrumental obsession (so typical of this particular time) is necessary. In this paper, we present the main concepts of fundamental biomedical enhanced knowledge formalisation for Health Informatics and Wellbeing of the future.
Knowledge, Attitude and Practice Tools for Health Education Among Diabetic Patients
Authors: Ismaile Samantha  , Alhosban Fuad  , Almoajel Alyah  , Albarrak Ahmed  , Househ Mowafa
Published: February 2025

Health education is an integral part of self-management programs and an important element for the control and effective management of any chronic disease including diabetes. Patient Knowledge, Awareness, and Practices (KAP) are considered to be the most important factors for assessing the results of health education in patients with diabetes. In order to develop such health education models, it is important to have a validated and reliable tools which asses a diabetic patient's knowledge, attitude and practice. The aim of this study is to systematically review the literature on KAP assessment tools regarding health education among diabetic patients. The researchers conducted a systematic literature review using MEDLINE database from 1980 up to 2016. A developed search strategy was conducted by the researchers for MEDLINE and EBESCO. Of the 94 articles identified only 16 articles fully met the inclusion criteria. This review identifies useful assessment tools of KAP regarding health education for diabetic patients which will help to improve strategies in regards to assessing KAP for diabetic patients worldwide. The KAP assessment tools should be: carefully developed, user friendly, evidence-based, valid and reliable.