bluuebunny/crossref_metadata_2025 huggingface dataset:
Geographic Mapping of Use and Knowledge of the Existence of Projects or ICT-Based Devices in Dementia Care
Authors: Zacharopoulou Vassiliki  , Zarakovitis Dimitrios  , Zacharopoulou Georgia  , Tsaloukidis Nikolaos  , Lazakidou Athina
Published: February 2025

The purpose of this study is to investigate the knowledge and use of Information and Communication Technologies (ICT) from community-based patients, while the results were visualized on maps by using Geographic Information Systems (GIS). Of the 779 participants, 37.4% of the patients responded that they were aware of the availability of ICTs available for dementia, with only 9.2% responding that they were using individual devices. It was apparent that 94.7% of those with a university education had knowledge of ICT and 47.4% of them did use, unlike patients with lower levels of education. In conclusion, based on a small sample of the Greek population, the knowledge and use of ICTs is still on a limited scale and mainly concerns patients with high socioeconomic status.
The Artificial Pancreas: Reducing Safety Risk via Intra-Peritoneal Insulin Delivery
Authors: Jones Richard W.  , Gianni Francesco  , Despotou Georgios  , Katzis Konstantinos
Published: February 2025

The Artificial Pancreas is a medical device, currently in development, that aims to provide automatic regulation of blood glucose (BG) levels in ambulatory type 1 diabetes mellitus sufferers. The most popular approach utilises subcutaneous (SC) continuous glucose monitoring (CGM) combined with SC insulin injection controlled by a Model Predictive Control (MPC) algorithm. From a safety risk perspective problematic elements include the performance robustness of the CGM and the need for a pre-meal insulin bolus to provide satisfactory post prandial BG regulation. This contribution presents preliminary in silico studies which indicate that the use of an alternative approach to insulin delivery - intra-peritoneal (IP) infusion - could provide a similar level of BG regulation (as obtained with SC delivery), without the need for the pre-meal bolus. This simplified control architecture would remove the patient safety risk related to the administration (or not) of pre-meal bolus.
Weekly Hospital Workforce Data: A Data Visualisation Exercise
Authors: Xie Yang  , Khanna Sankalp  , Good Norm  , Boyle Justin
Published: February 2025

Quantifying the health workforce in terms of overall staff numbers and their ratio to patients under their care can strengthen analytical studies designed to inform policy regarding how hospital services are delivered. Information about staffing is traditionally obtained via location-specific audits or self-reported information gleaned from surveys which hold potential biases around time-dependence and recall. In contrast, work presented in this paper describes the derivation of useful workforce metrics from routine hospital financial and clinical information systems that overcome these biases. Staffing data is aggregated, visualised and linked to patient demand to gain insight into spatial and temporal variations in hospital staffing and workload. Overall, hospital staff resourcing varies noticeably across a week, with staff numbers and staff-to-patient ratios dropping to low levels at night and across a weekend. Exploration of staff-to-staff ratios allows further insight into staff dynamics across a week and the variation of supervision level.
Enhancing General Practitioners Participation in a Virtual Community of Practice for Continuing Medical Education: An Exploratory Study
Authors: Murad Abdulaziz  , Lederman Reeva  , Bosua Rachelle  , Chang Shanton  , Wark John D.
Published: February 2025

As sources of medical information grow online, Virtual Communities of Practice (VCoPs) have evolved into a potential tool that allows General Practitioners (GPs) to interact through the sharing of their experience and knowledge. However, literature reports that GPs are reluctant to participate in VCoPs especially for their continuing medical education (CME). Currently, no study has explored the design and structural aspects of VCoPs that may lead to enhancing GPs' participation in such online communities. Hence, this paper explores how GPs envisage the use of a VCoP for their CME and how to enhance their participation by conducting an exploratory qualitative study of two focus groups with 10 GPs in each group, accompanied by a specialist and a nurse. Our empirical findings identified two key contributions: i) seven themes that need to be incorporated in the VCoP to enable and support GP's CME through the use of a VCoP; ii) three recommendations to take into consideration for researchers when evaluating VCoPs for CME.
Libraries and Librarians: Key Partners for Progress in Health Literacy Research and Practice
Authors: Whitney Wanda  , Keselman Alla  , Humphreys Betsy
Published: February 2025

The field of librarianship has a history of involvement in patient education, general literacy and information literacy efforts. This history and prominent placement in communities make libraries and librarians an excellent resource in advancing health literacy practice and research. This chapter provides an overview of health literacy and health information literacy efforts in US libraries over the past two decades.
Health Literacy: Insights and Issues
Authors: Rudd Rima E.
Published: February 2025

Definitions, by their very nature, establish a shared understanding of words and concepts but also set parameters for inquiry and measures. Health literacy, a term that emerged in the 1990s, has been defined in numerous ways over time and is still considered an evolving concept. This chapter provides a discussion of the difficulties inherent in restricted definitions that have led to research gaps. The discussion highlights the need for an expanded understanding of health literacy and it identifies missing elements. A call for new measures includes attention to a full range of literacy skills including calibrations of health professionals' communication skills. In addition, it argues for an in-depth understanding of health-related tasks and texts that will yield insights for a more thorough analysis of links between and among literacy skills, health system demands, and health outcomes. Finally, this chapter presents an argument for a careful consideration of institutional and system wide norms, policies, and regulations that facilitate or impede access to health information, services, and care. As the definition of health literacy expands so too can the scope and depth of health literacy research, practice implementation, and public policy.
Development of Mathematical Skills Developing Game Software
Authors: Hajdics Gyula  , Guzsvinecz Tibor  , Szucs Veronika  , Sik Lanyi Cecilia
Published: February 2025

Using basic mathematical operations is not easy for everyone. The AndMaths game for Android devices was developed to help elementary school students to learn these basic mathematical skills in the number ranges of twenties, fifties, hundreds and thousands. The user can freely select the number ranges.
Enabling Accessibility Through Model-Based User Interface Development
Authors: Ziegler Daniel  , Peissner Matthias
Published: February 2025

Adaptive user interfaces (AUIs) can increase the accessibility of interactive systems. They provide personalized display and interaction modes to fit individual user needs. Most AUI approaches rely on model-based development, which is considered relatively demanding. This paper explores strategies to make model-based development more attractive for mainstream developers.
Obstacle: A Tool to Assess the Home Environment Designed for All
Authors: Lemmens Ryanne  , Gielen Carine  , Spooren Annemie
Published: February 2025

Introduction. Elderly prefer to live as long as possible independent in their own home. The occupational therapist can play an important role in this, for instance by giving advice regarding home adaptations or the use of assistive technology in order for the person to function more independently. There is need for a tool that allow to screen the home easily and thorough.
Inclusive Smartphone Interface Design in Context: Co(Re)designing the PIS
Authors: Magee Paul  , Ward Gillian  , Moody Louise  , Roebuck Annette
Published: February 2025

User-context optimises smartphone interface-design. Neglect of user-context during development, delays or prevents marginalised-consumer benefit. Working with People with Learning Disability (PWLD) to develop interfaces refined by communication-need will improve User-Experience (UX). In research, a Participant Information Sheet (PIS) discloses planned study-activity. This paper explains co-creation of a PIS based on communication-need of PWLD.
Improving the Quality of Life of Persons with Intellectual Disabilities Through ICTs
Authors: Ferreras Alberto  , Poveda Rakel  , Quílez Manuel  , Poll Nuria
Published: February 2025

Removing barriers to accessing Information and Communication Technologies (ICTs) by Persons with Intellectual Disabilities (IDPs) is crucial. Being excluded from ICTs implies being shut down from the information society, but also from accessing essential public services, as well as from the opportunity of living an independent life. The IdICT project has the general objective of increasing the competences of IDPs, their families and the professionals that work with them to exploit ICTs with a Quality of Life approach. To do that, a training platform and a training program has been developed and tested by IDPs, relatives and professionals in six European Countries.
Managing Weight: What Do People with an Intellectual Disability Want from Mobile Technology?
Authors: Smyth Phil  , McDowell Claire  , Leslie Julian C.  , Leader Geraldine  , Donnelly Mark  , Simpson Elizabeth  , Skelly Laura
Published: February 2025

Obesity is a significant health challenge. People with Intellectual Disability (ID) are particularly vulnerable to developing obesity. Mobile technology has been developed to support the management of weight and obesity in the form of apps, although not with people with an ID in mind. As a result existing off-the-shelf weight management apps currently available may not be functional in supporting weight reduction within this population. This paper presents the results of consultations with people with ID regarding weight management, comfort with mobile technology and desired characteristics in apps designed for people with ID that target weight management.
Designing Out the Play: Accessibility and Playfulness in Inclusive Play
Authors: Holt Raymond  , Beckett Angharad
Published: February 2025

Play is an important part of child development, yet disabled children are often excluded from the opportunity to play, either due to lack of accessible toys and games, or social pressures. This paper presents a case study reflecting on the development of Button Bash: a switch accessible game intended to encourage inclusive play between disabled and non-disabled children. In particular, the paper focuses on how changes intended to make the game more accessible tended to make it less playful, and reflects on the relationship between playfulness and accessibility.
Estimation of Injury by Falls for Risk Assessment of Robotic Care Devices
Authors: Matsumoto Koji  , Fujikawa Tatsuo  , Asano Yoichi
Published: February 2025

In order for manufacturers of robotic devices for nursing care to predict injury in accidents related to their products, risk assessments are carried out according to various standards e.g. ISO 12100. Probabilities of death, bone fracture and head injury are estimated by analysing data published in Japan and U.S.
Development of a Risk Assessment Assistance Tool for Robotic Care Devices
Authors: Homma Keiko  , Matsumoto Osamu
Published: February 2025

Aiming to eliminate a labor shortage caused by the aging of society, many kinds of service robots are under development. Nursing care for the elderly is considered as a typical application of service robots, especially in Japan. Elderly care robots or robotic care device must be designed with safety, but not a few manufacturers are inexperienced in designing and manufacturing them on the basis of safety. In this paper, we introduce a risk assessment assistance tool for robotic care device targeted for inexperienced manufacturers of risk assessment.
Ethical Issues Related to IT Adoption by Elderly Persons with Cognitive Impairments
Authors: Chalghoumi Hajer  , Cobigo Virginie  , Jutai Jeffrey
Published: February 2025

Ethical issues arise when the risks and benefits of technology use are unclear or controversial, or their access inequitable. This paper presents a preliminary framework for understanding ethical issues related to IT development and adoption by elderly persons with cognitive impairments and their caregivers. The development of the framework relied on a hybrid qualitative approach that draws on several data sources: 1) systematic literature review, 2) focus groups with IT users, and 3) a reflexive researcher-learning diary.Preliminary findings were synthesized into a coherent model that views IT adoption as the outcome of complex interactions between different factors: 1) Personal factors that include the cognitive abilities of the users, as well as their physical and sensory limitations, and 2) Environmental factors that are related to the technology, the caregivers, and the support networks of the user with cognitive impairment. Findings from this project will help better understand, balance, and responsibly address the competing ethical issues at play in technology development and adoption by elderly persons with cognitive impairments and their caregivers.
“Design for Somebody” – Approach Enabling Mobile Technology Development
Authors: Sirkka Andrew  , Merilampi Sari  , Koivisto Antti  , Tommiska Janika  , Saarinen Tatu-Pekka
Published: February 2025

This paper presents case examples of Design for Somebody (DfS) philosophy used both in developing novel technologies and modifying existing main stream technologies applicable for users with special needs. DfS embodies variety of mobile technology approaches to generate personalised means to enable and motivate physical, cognitive and social skills development.
Advantages of Unstable Manual Wheelchair
Authors: Yoneda Ikuo  , Hashizume Tsutomu  , Booka Masayuki  , Oku Hidehisa  , Fujisawa Shoichiro
Published: February 2025

In this study, many test runs were conducted using experimental manual wheelchair on various floor surface conditions. In the result, operability of manual wheelchair would be improved by shifting the position of drive wheels forward.
Writing Good-Quality Assistive Technology Assessment Reports
Authors: Andrich Renzo
Published: February 2025

The study reported in this paper developed criteria and guidelines for writing up a good-quality AT Assessment Report - a document which is often required to activate an assistive technology intervention for an individual client. The Report should provide precise recommendations about the assistive solutions that best meet the client's needs, explain the underlying reasoning, provide evidence of appropriateness for the funding agency and set the baseline for later measurement of the outcomes of the intervention. Within this study, forty-eight clients with severe disability conditions were recruited in nine rehabilitation Centers in various regions of Italy. They were assessed for assistive solutions by their rehabilitation teams according to a common protocol; assessment Reports were produced for each client according to the same template, and individual AT interventions were activated following the recommendations. Then the Reports underwent a blind peer-review exercise involving over fifty professionals, who evaluated their quality against ten criteria; based on the findings, the template of the AT Assessment Report was revised and good-practice guidelines were inferred for the contents of each field. Now the final version is freely downloadable and is being used routinely in the Centers that participated in the study.
Technical Environment for Developing the SNIK Ontology of Information Management in Hospitals
Authors: Höffner Konrad  , Jahn Franziska  , Kücherer Christian  , Paech Barbara  , Schneider Birgit  , Schöbel Martin  , Stäubert Sebastian  , Winter Alfred
Published: February 2025

The SNIK project converts textbooks about information management in hospitals to a domain ontology that provides a shared vocabulary for institutions to model and integrate processes, data and infrastructure. To accommodate user groups with different requirements and technical backgrounds, and to support incremental and cooperative development, we create a system architecture to publish, visualize, browse and query the ontology, as well as to evaluate and improve the data quality.
User Experience Evaluations in Rehabilitation Video Games for Children: A Systematic Mapping of the Literature
Authors: Rico-Olarte Carolina  , López Diego M.  , Blobel Bernd  , Kepplinger Sara
Published: February 2025

Background: In recent years, the interest in user experience (UX) evaluation methods for assessing technology solutions, especially in health systems for children with special needs like cognitive disabilities, has increased.
Semi-Automatic Terminology Generation for Information Extraction from German Chest X-Ray Reports
Authors: Krebs Jonathan  , Corovic Hamo  , Dietrich Georg  , Ertl Max  , Fette Georg  , Kaspar Mathias  , Krug Markus  , Stoerk Stefan  , Puppe Frank
Published: February 2025

Extraction of structured data from textual reports is an important subtask for building medical data warehouses for research and care. Many medical and most radiology reports are written in a telegraphic style with a concatenation of noun phrases describing the presence or absence of findings. Therefore a lexico-syntactical approach is promising, where key terms and their relations are recognized and mapped on a predefined standard terminology (ontology). We propose a two-phase algorithm for terminology matching: In the first pass, a local terminology for recognition is derived as close as possible to the terms used in the radiology reports. In the second pass, the local terminology is mapped to a standard terminology. In this paper, we report on an algorithm for the first step of semi-automatic generation of the local terminology and evaluate the algorithm with radiology reports of chest X-ray examinations from Würzburg university hospital. With an effort of about 20 hours work of a radiologist as domain expert and 10 hours for meetings, a local terminology with about 250 attributes and various value patterns was built. In an evaluation with 100 randomly chosen reports it achieved an F1-Score of about 95% for information extraction.
CTdBem – A New Protocol for Ultra Low Radiation Dose MDCT
Authors: Pereira Haygert Carlos Jesus  , Cordeiro d'Ornellas Marcos  , Welfer Daniel  , Bastos Rubens Martins  , Dotto Gustavo Nogara
Published: February 2025

This study describes a novel method of obtaining low-dose computed tomography (CT) scans followed by imaging postprocessing that provides diagnostic quality to such low-dose exams. In addition, we compared the Total Radiation Doses (DLP) of the 64-channel MDCT x 16-channel MDCT for a new Dental CT – CTdBem protocol for hospital use. DLP data obtained from 20 patients using 16-channel MDCT was compared with 20 other patients using 64-channel MDCT. In both tomographic (Aquilion 64 and Brightspeed 16) FOV was approximately 160(V) x 130(H) mm. An imaging postprocessing algorithm was used to provide diagnostic quality to the obtained low-dose CT scans. Imaging postprocessing included imaging smoothing, multiplanar reconstruction (MPR), and volume rendering (VR), as well as surface rendering (SR) to allow three-dimensional printing of the desired scans. The average DLPs were of 28,5 mGy.cm and 54,65 mGy.cm, using the 64-channel MDCT and 16-channel MDCT, respectively. The effective radiation dose (DLP) from the 64-channel MDCT statistically differs from the DLP data from 16-channel MDCT, resulting in a value of p < 0.05 for all comparisons. A novel low-dose CT protocol for dentomaxillofacial assessment using imaging postprocessing techniques is described. The authors concluded that although the DLP values differ statistically (p < 0.05), both equipment (64 and 16-channel MDCT) produce tomographic images of patients with low radiation doses. The greater the number of detectors, the lower the mAs product and, consequently, the amount of X-radiationproduced.
Using Cloud-Based Physical Activity Data from Google Fit and Apple Healthkit to Expand Recording of Physical Activity Data in a Population Study
Authors: Henriksen André  , Hopstock Laila Arnesdatter  , Hartvigsen Gunnar  , Grimsgaard Sameline
Published: February 2025

Large population studies are important sources for medical research. These studies are well planned, well organized, and costly. However, people record health data themselves using different sensors, which are mostly unplanned, unorganized and inexpensive. Nevertheless, self-recorded data might be an important supplement to population studies. The question is how to access and use this data. In the seventh survey of the Tromsøcohort study, questionnaires and accelerometers were used to collect data on physical activity (PA). We now plan to collect historical PA data from these participants, using mobile sensor data already stored in the cloud. We will examine the feasibility of this approach and the quality of this data. Objectively measured historical data will provide valuable insights in the potential and limitations of mobile sensors as new data collection tools in medical research.
Extracting Follow-Up Recommendations and Associated Anatomy from Radiology Reports
Authors: Mabotuwana Thusitha  , Hall Christopher S.  , Dalal Sandeep  , Tieder Joel  , Gunn Martin L.
Published: February 2025

Adherence rates for timely imaging follow-up are usually low due to low rates of diligence by referring physicians and/or patients with following recommendations for follow-up imaging. This can lead to delayed treatment, poor patient outcomes, unnecessary testing, and legal liability. Existing follow-up recommendation detection methods are often disease- and modality-specific. To address some of these limitations, we present a generic radiology report processing pipeline that can be used to extract follow-up imaging recommendations by anatomy using an ontology-based approach. Using a large dataset from three hospitals, we discuss our methodology in the context of identifying follow-up imaging recommendations that are related to lung, adrenal and/or thyroid conditions. The algorithm has 99% accuracy (95% CI: 95.8–99%). We also present an interactive dashboard that can be used to understand trends related to follow-up recommendations.
Development of a Service-Oriented Sharable Clinical Decision Support System Based on Ontology for Chronic Disease
Authors: Shang Yong  , Wang Yu  , Gou Ling  , Wu Chengkai  , Zhou Tianshu  , Li Jing-song
Published: February 2025

Clinical decision support systems (CDSSs) have been proved as an efficient way to improve health care quality. However, the inflexibility in integrating multiple clinical practice guidelines (multi-CPGs), the mass input workload of patient data, and the difficulty in system sharing become barriers of CDSSs implementation. In this paper, we proposed a framework of CDSS for chronic disease based on ontology and service-oriented architecture (SOA) to improve these defects. We used ontology for knowledge base construction on multi-CPGs integration to overcome their differences as well as reduce the input procedure of patient data by ontology reasoning. Furthermore, we built the CDSS on an SOA structure to provide flexibility in system and data sharing, such that patients could get suggestions from the same system for self-management of chronic disease. A typical case was used to validate the CDSS functions and accuracy. Two clients were developed to illustrate the SOA superiority.
A Serious Game for Anterior Cruciate Ligament Rehabilitation: Software Development Aspects and Game Engagement Assessment
Authors: Cordeiro d'Ornellas Marcos  , Santos Machado Alison  , de Moraes Jefferson Potiguara  , Cervi Prado Ana Lúcia
Published: February 2025

This work presents the steps for developing a serious game that allows the interaction through natural gestures, whose main purpose is to contribute to the treatment of individuals who have suffered an injury to the anterior cruciate ligament (ACL). In addition to the serious game development process, the users' gaming experience were performed. Through the evaluation assessment, positive results were obtained in relation to various aspects of the game engagement, proving the playful factor of this activity.
CLARUS as a Cloud Security Framework: e-Health Use Case
Authors: Vidal David  , Iriso Santiago  , Mulero Rafael
Published: February 2025

Maintaining Passive Medical Health Records (PMHR) is an increasing cost and resource consumption problem. Moving to the cloud is the clearest solution to solve the problem as it offers a high amount of space and computation power. But the cloud is not safe enough when dealing with this kind of information because it can be easily accessed by attackers. The European Commission funded research project CLARUS contributes to protect healthcare-sensitive information in a secure way.
Integrating x4T-EDC into an Image-Portal to Establish an Ophthalmic Reading Center
Authors: Bruland Philipp  , Kathöfer Ulrich  , Treder Maximilian  , Eter Nicole  , Dugas Martin
Published: February 2025

Reading centers provide centralized high-quality diagnostics in ophthalmic clinical trials. Since ophthalmic images are captured in electronic format at peripheral clinics, an integrated workflow for image transfer and creation of structured reports is needed, including quality assurance. The image portal and the study database are separate components. We assessed whether this integration is feasible with trial-related IT standards and built a prototype system as a proof-of-concept. CDISC ODM and OAuth authentication were used to integrate the image portal with x4T-EDC, facilitating automatic data transfer and single sign-on.
Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record
Authors: Caraballo Pedro J.  , Sutton Joseph A.  , Moyer Ann M.  , Blair David  , Hines Lois C.  , Rao Padma S.  , Adams Mark F.  , Murthy Sahana  , Garza Tina  , Karow Mary E.  , Singh Harmanjit  , Giri Jyothsna  , Gabrielson Donald B.  , Sauver Jennifer St.  , Bielinski Suzette J.  , Parkulo Mark A.
Published: February 2025

Clinical use of pharmacogenomic (PGx) knowledge at the bedside is new and complex. Our program has implemented multiple PGx-CDS interventions in different clinical settings and in multiple commercial EHRs. Herein, we discuss lessons learned and propose general technical guidelines related to PGx implementation.
Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data
Authors: Huang Jing  , Zhang Xinyuan  , Du Jingcheng  , Duan Rui  , Yang Liu  , Moore Jason H.  , Chen Yong  , Tao Cui
Published: February 2025

US Food and Drug Administration (FDA) Adverse Event (AE) Reporting System (FAERS) is a major source of data for monitoring drug safety. However, there is not general procedure to systematically compare drugs group. We present a statistical method, which can effectively identify significant differences in AE rates among drugs and estimates the differences in age and gender distributions.
Depression, Impulse Control Disorder, and Life Style According to Smartphone Addiction
Authors: Kim E.Y.  , Joo S.W.  , Han S.J.  , Kim M.J.  , Choi S.Y.
Published: February 2025

We examined depression, impulse control disorder, and life style by degree of smartphone addiction. Chi-square tests and ANOVA were used to identify significant variables. CART was used to generate a decision making diagram of variables affecting smartphone addiction. The severe smartphone addiction group had rates of depression and impulse control disorder than the initial smartphone group.
Li2b2-Façade: Simulation of i2b2 Data Warehouse Server and Client for Interaction with Other Systems
Authors: Majeed Raphael W.  , Xu Tingyan  , Stöhr Mark R.  , Röhrig Rainer
Published: February 2025

Since its release in 2004, the i2b2 data warehouse software has become a valuable tool for clinical researchers. Physicians can use its browser-based query frontend intuitively without additional training or reading through documentation. While the i2b2 software describes it's API as “REST”, it is neither stateless nor does it follow the common guidelines for RESTful APIs. Thus, interfacing other software with i2b2's custom RPC-style XML-API is a very cumbersome process. To overcome these issues, we developed a lightweight software abstraction layer “lightweight i2b2 façade” (li2b2-façade).
Data Mining Applied to Analysis of Contraceptive Methods Among College Students
Authors: Simões Priscyla Waleska  , Cesconetto Samuel  , Dalló Eduardo Daminelli  , de Souza Pires Maria Marlene  , Comunello Eros  , Borges Tomaz Felipe  , Xavier Eduardo Pícolo  , da Rosa Brunel Alves Pedro Antonio  , Ceretta Luciane Bisognin  , Manenti Sandra Aparecida
Published: February 2025

The aim of this study was to use the Data Mining to analyze the profile of the use of contraceptive methods in a university population. We used a database about sexuality performed on a university population in southern Brazil. The results obtained by the generated rules are largely in line with the literature and epidemiology worldwide, showing significant points of vulnerability in the university population. Validation measures of the study, as such, accuracy, sensitivity, specificity, and area under the ROC curve were higher or at least similar as compared to recent studies using the same methodology.
Report and Analysis of Web Portal oldagesolutions.org for Indian Old Age Persons
Authors: Meher Sushil Kumar  , Dey A.B.
Published: February 2025

Oldagesolutions.org is a web portal for older persons in india created as apart of Technology Interventations for Elderly (TIE) intitated by the science and society division for benefit of elderly people keeping in view of the National Policy on Older People (NPOP). This is a collative effort of the multidisplinary team at All India Institute of Medical Sciences (AIIMS) comprising of doctors, genetic nurses, netritionist and physiotherapists who provide their valuable collective insights for an elderly centric approach.
Infrastructure for Big Data in the Intensive Care Unit
Authors: Zelechower Javier  , Astudillo José  , Traversaro Francisco  , Redelico Francisco  , Luna Daniel  , Quiros Fernan  , San Roman Eduardo  , Risk Marcelo
Published: February 2025

The Big Data paradigm can be applied in intensive care unit, in order to improve the treatment of the patients, with the aim of customized decisions. This poster is about the infrastructure necessary to built a Big Data system for the ICU. Together with the infrastructure, the conformation of a multidisciplinary team is essential to develop Big Data to use in critical care medicine.
A Hospital Nursing Adverse Events Reporting System Project: An Approach Based on the Systems Development Life Cycle
Authors: Cao Yingjuan  , Ball Marion
Published: February 2025

Based on the System Development Life Cycle, a hospital based nursing adverse event reporting system was developed and implemented which integrated with the current Hospital Information System (HIS). Besides the potitive outcomes in terms of timeliness and efficiency, this approach has brought an enormous change in how the nurses report, analyze and respond to the adverse events.
Development of Multiple Wireless Network Environments for Hospitals
Authors: Yamashita Yoshinori  , Ogaito Tatoku
Published: February 2025

The use of smart devices in medical information systems is progressing. In addition, correspondence of communication functions in medical equipment is advancing. For this reason, and in order to establish the ubiquitous environment in hospitals, we developed an environment in which multiple wireless communications can be used.
A Healthy Lifestyle Intervention Application
Authors: Tufte Trond  , Babic Ankica
Published: February 2025

In this project, a mHealth tool for smart-phones has been developed using Design Science methodology, where the goal has been to promote an active lifestyle. This was undertaken by implementing social and physical activity stimulating features within the application MoveFit. Users can opt to utilize just a feature or two or engage in social activities of different intensity. Regular and expert users have evaluated the application in order to meet usability requirements. In addition a field expert and a focus group have contributed towards the application's potential to increase physical activity.
Classification of Clinical Research Study Eligibility Criteria to Support Multi-Stage Cohort Identification Using Clinical Data Repositories
Authors: Cimino James J.  , Lancaster William J.  , Wyatt Mathew C.
Published: February 2025

One of the challenges to using electronic health record (EHR) repositories for research is the difficulty mapping study subject eligibility criteria to the query capabilities of the repository. We sought to characterize criteria as “easy” (searchable in a typical repository), “hard” (requiring manual review of the record data), and “impossible” (not typically available in EHR repositories). We obtained 292 criteria from 20 studies available from Clinical Trials.gov and rated them according to our three types, plus a fourth “mixed” type. We had good agreement among three independent reviewers and chose 274 criteria that were characterized by single types for further analysis. The resulting analysis showed typical features of criteria that do and don't map to repositories. We propose that these features be used to guide researchers in specifying eligibility criteria to improve development of enrollment workflow, including the definition of EHR repository queries for self-service or analyst-mediated retrievals.
Enabling Patient Control of Personal Electronic Health Records Through Distributed Ledger Technology
Authors: Cunningham James  , Ainsworth John
Published: February 2025

The rise of distributed ledger technology, initiated and exemplified by the Bitcoin blockchain, is having an increasing impact on information technology environments in which there is an emphasis on trust and security. Management of electronic health records, where both conformation to legislative regulations and maintenance of public trust are paramount, is an area where the impact of these new technologies may be particularly beneficial. We present a system that enables fine-grained personalized control of third-party access to patients' electronic health records, allowing individuals to specify when and how their records are accessed for research purposes. The use of the smart contract based Ethereum blockchain technology to implement this system allows it to operate in a verifiably secure, trustless, and openly auditable environment, features crucial to health information systems moving forward.
Comparison of Regression Analysis and Transfer Function in Estimating the Parameters of Central Pulse Waves from Brachial Pulse Wave
Authors: Chai Rui  , Xu Li-sheng  , Yao Yang  , Hao Li-ling  , Qi Lin
Published: February 2025

This study analyzed ascending branch slope (A_slope), dicrotic notch height (Hn), diastolic area (Ad) and systolic area (As) diastolic blood pressure (DBP), systolic blood pressure (SBP), pulse pressure (PP), subendocardial viability ratio (SEVR), waveform parameter (k), stroke volume (SV), cardiac output (CO), and peripheral resistance (RS) of central pulse wave invasively and non-invasively measured. Invasively measured parameters were compared with parameters measured from brachial pulse waves by regression model and transfer function model. Accuracy of parameters estimated by regression and transfer function model, was compared too. Findings showed that k value, central pulse wave and brachial pulse wave parameters invasively measured, correlated positively. Regression model parameters including A_slope, DBP, SEVR, and transfer function model parameters had good consistency with parameters invasively measured. They had same effect of consistency. SBP, PP, SV, and CO could be calculated through the regression model, but their accuracies were worse than that of transfer function model.
An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes
Authors: Woldaregay Ashenafi Zebene  , Årsand Eirik  , Botsis Taxiarchis  , Hartvigsen Gunnar
Published: February 2025

People with diabetes experience elevated blood glucose (BG) levels at the time of an infection. We propose to utilize patient-gathered information in an Electronic Disease Surveillance Monitoring Network (EDMON), which may support the identification of a cluster of infected people with elevated BG levels on a spatiotemporal basis. The system incorporates data gathered from diabetes apps, continuous glucose monitoring (CGM) devices, and other appropriate physiological indicators from people with type 1 diabetes. This paper presents a novel approach towards modeling of the individual's BG dynamics, a mechanism to track and detect deviations of elevated BG readings. The models were developed and validated using self-recorded data in the non-infection status using Dexcom CGM devices, from two type 1 diabetes individuals over a 1-month period. The models were also tested using simulated datasets, which resemble the individual's BG evolution during infections. The models accurately simulated the individual's normal BG fluctuations and further detected statistically significant BG elevations.
Aligned-Layer Text Search in Clinical Notes
Authors: Wu Stephen  , Wen Andrew  , Wang Yanshan  , Liu Sijia  , Liu Hongfang
Published: February 2025

Search techniques in clinical text need to make fine-grained semantic distinctions, since medical terms may be negated, about someone other than the patient, or at some time other than the present. While natural language processing (NLP) approaches address these fine-grained distinctions, a task like patient cohort identification from electronic health records (EHRs) simultaneously requires a much more coarse-grained combination of evidence from the text and structured data of each patient's health records. We thus introduce aligned-layer language models, a novel approach to information retrieval (IR) that incorporates the output of other NLP systems. We show that this framework is able to represent standard IR queries, formulate previously impossible multi-layered queries, and customize the desired degree of linguistic granularity.
Research on Ratio of Dosage of Drugs in Traditional Chinese Prescriptions by Data Mining
Authors: Yu Xing-wen  , Gong Qing-yue  , Hu Kong-fa  , Mao Wen-jing  , Zhang Wei-ming
Published: February 2025

Maximizing the effectiveness of prescriptions and minimizing adverse effects of drugs is a key component of the health care of patients. In the practice of traditional Chinese medicine (TCM), it is important to provide clinicians a reference for dosing of prescribed drugs. The traditional Cheng-Church biclustering algorithm (CC) is optimized and the data of TCM prescription dose is analyzed by using the optimization algorithm. Based on an analysis of 212 prescriptions related to TCM treatment of kidney diseases, the study generated 87 prescription dose quantum matrices and each sub-matrix represents the referential value of the doses of drugs in different recipes. The optimized CC algorithm can effectively eliminate the interference of zero in the original dose matrix of TCM prescriptions and avoid zero appearing in output sub-matrix. This results in the ability to effectively analyze the reference value of drugs in different prescriptions related to kidney diseases, so as to provide valuable reference for clinicians to use drugs rationally.
Mutual Learning and Exchange of Health Informatics Experiences from Around the World – Evaluation of a Massive Open Online Course in eHealth
Authors: Koch Sabine  , Hägglund Maria
Published: February 2025

We report our experiences from the Massive Open Online Course (MOOC), “eHealth – Opportunities and Challenges”, run by Karolinska Institutet using the edx platform both as session-based and self-paced versions between 2015 and 2016. In total, 13,302 students from 162 different countries were enrolled in our courses during the two-year period whereof 573 completed them. 331 students answered an exit survey after finishing the course which was analysed using quantitative and qualitative methods. As positive outcomes of the course, students highlighted set-up and content of the course, the pedagogical approach and the consistent international focus. Students lacked more practical case studies, more interactive discussions and proposed advanced follow-up courses on certain topics. Faculty lacked better functions for management of the discussion forum. Major advantages of the MOOC were mutual learning and exchange of health informatics experiences from around the world that would have been difficult to achieve in traditional learning contexts.
Toward Automatic Reporting of Infectious Diseases
Authors: Tsao Hsiao-Mei  , Chang Chi-Ming  , Chuang Jen-Hsiang  , Liu Ding-Ping  , Pan Mei-Lien  , Wang Da-Wei
Published: February 2025

Accurate, complete, and timely disease surveillance data are vital for disease control. We report a national scale effort to automatically extract information from electronic medical records as well as electronic laboratory systems. The extracted information is then transferred to the centers of disease control after a proper confirmation process. The coverage rates of the automated reporting systems are over 50%. Not only is the workload of surveillance greatly reduced, but also reporting is completed in near real-time. From our experiences, a system sustainable strategy, well-defined working plan, and multifaceted team coordination work effectively. Knowledge management reduces the cost to maintain the system. Training courses with hands-on practice and reference documents are useful for LOINC adoption.
The Portal of Medical Data Models: Where Have We Been and Where Are We Going?
Authors: Geßner Sophia  , Neuhaus Philipp  , Varghese Julian  , Bruland Philipp  , Meidt Alexandra  , Soto-Rey Iñaki  , Storck Michael  , Doods Justin  , Dugas Martin
Published: February 2025

To address current key problems of medical documentation: lack of transparency, overwhelming amount of medical contents to be documented and missing interoperability, the Portal of Medical Data Models (http://medical-data-models.org/) was established in 2012. Constantly evolving, four years later, the portal displays more than 8900 medical data models with more than 250000 items, of which 84 % have been semantically annotated with UMLS codes to support interoperability. Giving an update on new functions and contents of the portal, two additional export formats have been implemented, allowing the reuse of forms such as HL7's framework Fast Health Interoperability Resources (FHIR) Questionnaires, as well as the OpenDataKit format. Future projects include the implementation of an ODMtoOpenClinica converter, as well as supporting the reuse of forms with Apple's ResearchKit and Android's ResearchStack.
Nursing, Professional Curiosity and Big Data CoCreating eHealth
Authors: Procter Paula M.  , Wilson Marisa L.
Published: February 2025

This paper describes work that has taken place over the past three years in the form of an annual deep dive study track within a national conference setting. The work explores the changing influence that big data, and in particular population and social determinants of health data, makes upon the generation of co-created eHealth within a nursing domain. Working with delegates, many of whom returned year after year, the paper reports the discussion themes and ideas that evolved over time. The paper is presented as an example of connected reasoning and personal development by all those involved and is offered as a distributed think tank for further discussion and debate.
Designing an E-Learning Application to Facilitate Health Care Professionals' Cross-Cultural Communication
Authors: Balasubramaniam Nagadivya  , Kujala Sari  , Ayzit Dicle  , Kauppinen Marjo  , Heponiemi Tarja  , Hietapakka Laura  , Kaihlanen Anu
Published: February 2025

In recent times, health care professionals (HCP) have come across a number of migrants as their patients. The cultural differences lead to communicational challenges between the migrant patients and health care professionals. Our project aimed to discover HCPs' attitudes, challenges and needs on cross-cultural communication, so that we can develop an e-learning solution that would be helpful for them. By conducting interviews with HCPs, we identified five crucial categories of problems and the current solutions that experienced professionals use to tackle those problems. These interviews also helped us in understanding the motivational factors of HCPs, when using e-learning application. Health care professionals prefer a focus on examples and themes such as death and pain that they face in their everyday work. Changing attitudes by e-learning application is challenging. However, e-learning was recognized as a flexible way for supporting traditional training with HCPs who are busy at work most of the time.
Last Mile Towards Efficient Healthcare Delivery in Switzerland: eHealth Enabled Applications Could Speed Up the Care Process
Authors: Deng Yihan  , Bürkle Thomas  , Holm Jürgen  , Zetz Erwin  , Denecke Kerstin
Published: February 2025

A precise and timely care delivery depends on an efficient triage performed by primary care providers and smooth collaboration with other medical specialities. In recent years telemedicine gained increasing importance for efficient care delivery. It's use, however, has been limited by legal issues, missing digital infrastructures, restricted support from health insurances and the digital divide in the population. A new era towards eHealth and telemedicine starts with the establishment of national eHealth regulations and laws. In Switzerland, a nation-wide digital infrastructure and electronic health record will be established. But appropriate healthcare apps to improve patient care based on this infrastructure remain rare. In this paper, we present two applications (self-anamnesis and eMedication assistant) for eHealth enabled care delivery which have the potential to speed up diagnosis and treatment.
Consumer Smartwatches for Collecting Self-Report and Sensor Data: App Design and Engagement
Authors: Beukenhorst Anna L.  , Sergeant Jamie C.  , Little Max A.  , McBeth John  , Dixon William G.
Published: February 2025

Longitudinal data from patients' natural environments would benefit chronic disease care, yet most devices cannot collect sensor data alongside patient-reported outcomes. Here we describe Koalap, a consumer cellular smartwatch application that collects patient-reported outcomes alongside physical activity data from various sensors. Additionally, we show preliminary results indicating high engagement of our 26 participants with knee osteoarthritis. Our future work will show whether data collection with consumer smartwatches is feasible in terms of user engagement, acceptability, data quality and consistency.
Timing It Right – Patients' Online Access to Their Record Notes in Sweden
Authors: Hägglund Maria  , Moll Jonas  , Åhlfeldt Rose-Mharie  , Scandurra Isabella
Published: February 2025

In Sweden, and internationally, there is an ongoing debate about the effects of national implementations of Patient Accessible Electronic Health Records (PAEHRs). The purpose of this paper was to describe the current situation in Sweden and compare this with the expectations on reasonable waiting time for information access of users of the Swedish PAEHR. Data were collected from publicly available resources regarding current implementation in the 21 county councils, contrasted with patient experiences, gathered from a national online survey. The results indicate that patients have high expectations on immediate access to information, while this varies greatly in implementation across Sweden.