bluuebunny/crossref_metadata_2025 huggingface dataset:
Do Ethics Need to be Adapted to mHealth?
Authors: Albrecht Urs-Vito  , Fangerau Heiner
Published: February 2025

Available codes of ethics do not always adequately address questions arising from the contingent use of new technologies. In medical and health related settings, this manifests itself in the context of mHealth projects, where often, devices not specifically designed for such purposes, e.g. smartphones, tablet PCs and similar devices and gadgets are employed with the hope of benefitting both patients as well as their caretakers and furthermore researchers. Still, the highly personal nature of health and medicine as well as technical “constant companions” that are nowadays firmly woven into almost everyone's daily life, require a closer look at ethical requirements in this subject area. Therefore, in this paper, we will first present a short overview of existing codes of ethics, scrutinize their applicability for mHealth related problems and present a guideline compiled from suitable points taken from them.
Exploring the Role of Twitter in Promoting Women's Health in the Arab World: Lessons Learned
Authors: Bahkali Salwa  , Almaiman Ahmad  , Altassan Nahla  , Almaiman Sarah  , Househ Mowafa  , Alsurimi Khaled
Published: February 2025

Women's health is a topic that has been largely overlooked within the Arab world. Nevertheless, the constant growth in the use of social media provides an opportunity to improve women's health in the Arab world. In this paper, we discuss our experiences and lessons learned with the development of a women's health promotional campaign in the Arabic language using Twitter, a popular social media platform in the Arab world. We analyzed the combined experiences of five researchers in the development of the Twitter account. Two separate meetings were held, one on March 10 and another on March 25, 2015 with the researchers to review their experiences and lessons learned in developing a Twitter health promotion platform for women's health in the Arab world. The shared experiences were thematically transcribed, coded, matched and grouped under six key themes identified as the main driving forces for the development of a successful health promotion Twitter account. We found that the success of the Twitter account was the result of: defining clear goals, being passionate about the health promotion campaign, being motivated and creative, being knowledgeable about the health promotion area, developing trust between Twitter accounts users and the healthcare provider, and being patient in communicating with Twitter account users. Future research needs to focus on a more detailed analysis of the twitter feeds shared between the users and the health practitioners which can enhance our understanding of the social media based public health educational interventions.
The Role of Social Media in Promoting Women's Health Education in Saudi Arabia
Authors: Bahkali Salwa  , Almaiman Ahmad  , Bahkali Ahlam  , Almaiman Sara  , Househ Mowafa  , Alsurimi Khaled
Published: February 2025

Social media has the potential to improve women's health in developing countries through health education and promotion. In the Arab world, women's health interventions are lacking. However, with a high penetration rate of social media in the Arab world, there is good opportunity to utilize social media platforms such as Twitter to promote women's health. In this paper, we analyze the Tweet feeds of Saudi-based Twitter account to promote women's health. A total of 5167 Tweets were extracted and analyzed retrospectively, using NVivo Ncapture between June 2014 and March 2015. There were a total number of 3449 followers by March 20, 2015. Results showed that a majority of the Twitter followers (61%, n=2104) were seeking gynecological information, followed by pregnancy related information (27%, n=931), breast-feeding advice (9%, n=310), and other health related information (3%, n=103). Results also showed an increased level of health awareness and comprehension among Twitter followers. Further research is needed to promote women's health in Saudi Arabia and the Arab world through social media platforms such as Twitter and similar platforms including Instagram, Facebook, and YouTube which are also popular in the Arab world.
Prediction of 5-Year Survival with Data Mining Algorithms
Authors: Sailer Fabian  , Pobiruchin Monika  , Bochum Sylvia  , Martens Uwe M.  , Schramm Wendelin
Published: February 2025

Survival time prediction at the time of diagnosis is of great importance to make decisions about treatment and long-term follow-up care. However, predicting the outcome of cancer on the basis of clinical information is a challenging task. We now examined the ability of ten different data mining algorithms (Perceptron, Rule Induction, Support Vector Machine, Linear Regression, Naïve Bayes, Decision Tree, k-nearest Neighbor, Logistic Regression, Neural Network, Random Forest) to predict the dichotomous attribute “5-year-survival” based on seven attributes (sex, UICC-stage, etc.) which are available at the time of diagnosis. For this study we made use of the nationwide German research data set on colon cancer provided by the Robert Koch Institute. To assess the results a comparison between data mining algorithms and physicians' opinions was performed. Therefore, physicians guessed the survival time by leveraging the same seven attributes. The average accuracy of the physicians' opinion was 59%, the average accuracy of the machine learning algorithms was 67.7%.
A Decision Support System Platform for Spatial Epidemiology
Authors: Zimeras Stelios  , Mechili Aggelos  , Diomidous Marianna
Published: February 2025

A wide range of health care systems have been implemented, to support medical opinions, which are defined as Decision Support Systems. In this work a pilot information system was developed based on patients health records data combined with Geographical Information Systems (GIS) technology, which could be used as an advisor in cases where epidemiological diseases are taking place.
Open Innovation Challenge in Healthcare. Role for Education
Authors: Dimitriu Rodica  , Lungeanu Diana  , Mãnescu Cristina  , Pantazi Mirela  , Mihalas George I.
Published: February 2025

The vision of this paper is that collaboration creates new openings for engagement of non-commercial actors, such as universities, in innovation networks on the one hand, while opening up for collaborative innovation, and getting valuable real life anchors on the other hand, all these underpinned by greater connectivity and globalization. We present our approach in re-designing the courses on medical informatics and data processing to meet these challenges by employing public Internet services and media facilitation.
Reclaimed Opencast Coal Lands in Southeast Wales: Impacts on Water Quality
Authors: Haigh M.  , Kilmartin M.P.
Published: February 2025

Does former coal land of low acid-generating potential impact significantly on water quality in their immediate environment? This chapter explores the evidence from Southeast Wales using data collected on an array of reclaimed opencast coal-lands in a largely post-industrial area where river quality has now improved after many decades of severe pollution associated with under-regulated coalmining and metal working during the 19thand 20thcenturies. Results show that, because of compacted layers in the immediate subsurface, former opencast coal land converts incident rainfall to runoff very quickly through a very thin active layer and may contribute to increased flood peaks in affected catchments. Opencast spoils are locally contaminated with metals, especially in the absence of vegetation, but high rainfall and rapid throughflow ensures that the offsite impacts are small because of dilution. The main impact of former opencast sites on river water quality is likely to come through diffuse pollution from the zone of aeration and water table fluctuation zone in the body of the buried spoils. Although this zone is mainly detached from the surface hydrological system and deprived of rainwater infiltration by the impermeability of the surface layers on these sites, the lateral percolation of groundwater from offsite through the crushed rocks of the spoil is very likely to pick up metals from chemically active inclusions, often former deep-mine spoils, within the opencast mine fill. However, the effect on river water quality in southeast Wales is not great but may involve slightly higher flood peaks, elevated levels of iron and slightly elevated levels of lead, perhaps arsenic, copper and zinc, as well as ammonia N, although opencast sites are only one among several possible sources for such metals, which include natural ground water and other types of industrial waste.
Efficiency of Phnom Penh's Natural Wetlands in Treating Wastewater Discharges
Authors: Visoth Tiev  , Yim Mongtoeun  , Vathna Saneth  , Irvine Kim  , Koottatep Thammarat
Published: February 2025

Water quality samples were collected in three sewer channels discharging into the Boeng Cheung Ek treatment wetland and at two longitudinal sites within the wetland (mid-point and outlet), principally during the dry season, but also during storm events. YSI datasondes were installed to collect data at 15-minute intervals for dissolved oxygen, turbidity, conductivity, temperature and pH, at two sites in the wetland. Levels of Cu, Cr, Zn, total phosphorus, nitrate, detergents, E. coli and total suspended solids entering Boeng Cheung Ek from the three main tributary sewer channels and levels in the outflow from the wetland were compared for the dry season. The difference in mean concentration between inlet and outlet reflected reductions in the range of 44% (nitrate) to 99.97% (E. coli), with other parameters fitting within this range. Load reductions also were calculated on a monthly basis. Several contaminants within the sewer channels were significantly diluted by stormwater during individual rain events, although this trend was not observed within the wetland. The YSI data exhibited both interesting daily trends for dissolved oxygen and dry season to rainy season trends in weekly mean values for dissolved oxygen and conductivity.
Evaluation of the Quality of Drinking Water in Kerala State, India
Authors: Karthick B.  , Boominathan M.  , Ali Sameer  , Ramachandra T.V.
Published: February 2025

The quality of tap water from water supplies from 14 districts of Kerala state, India was studied. Parameters like pH, water temperature, total dissolved solids, salinity, nitrates, chloride, hardness, magnesium, calcium, sodium, potassium, fluoride, sulphate, phosphates, and coliform bacteria were enumerated. The results showed that all water samples were contaminated by coliform bacteria. About 20% of the tap water samples from Alappuzha and 15% samples from Palakkad district are above desirable limits prescribed by Bureau of Indian Standards. The contamination of the source water (due to lack of community hygiene) and insufficient treatment are the major cause for the coliform contamination in the state. Water samples from Alappuzha and Palakkad have high ionic and fluoride content which could be attributed to the geology of the region. Water supplied for drinking in rural areas are relatively free of any contamination than the water supplied in urban area by municipalities, which may be attributed to higher chances of contamination in urban area due to mismanagement of solid and liquid wastes. The study highlights the need for regular bacteriological enumeration along with water quality in addition to setting up decentralised region-specific improved treatment system.
The Hare and the Hortoise: The Potential Versus the Reality of eTP Implementation
Authors: Htat Kyaw Kyaw  , Williams Patricia A.H.  , McCauley Vincent
Published: February 2025

In a health system increasingly driven by cost constraints, there is a focus on improved electronic transfer of information to support healthcare delivery. One area of healthcare that has moved more quickly than others to achieve this is prescribing in the primary care environment. Whilst the move to electronic transfer of prescriptions has reduced transcription errors, the regulatory environment persists with handwritten signatures. This constraint, whilst addressed slowly with technology solutions, needs support from legislative change. The ultimate step is to have a secure mobile model, which would support the move to a fully-electronic, paperless transaction model.
Impact of Physician Community Structure on Healthcare Outcomes
Authors: Uddin Shahadat  , Kelaher Margaret  , Piraveenan Mahendra
Published: February 2025

There is a substantial variation in healthcare spending and readmission rate for individuals having admissions to different hospitals. This study assessed how the community structure of physician collaboration networks that evolve during the period of providing healthcare services to hospitalised patients contribute to this variation. A physician collaboration network is said to have a community structure if the nodes (i.e. physicians) of that network can be easily grouped into sets of nodes such that each set of nodes is densely connected internally but sparsely connected between groups. This study constructed physician collaboration networks based on patient-sharing ties among physicians who provided healthcare services to hospitalised patients. An administrative health insurance claim dataset was utilised to extract patient-sharing ties among physicians. Simple linear regression models were estimated to assess the impact of the community structure of physician collaboration networks on the healthcare outcome measures (i.e. readmission rate and hospitalisation cost). From these models, this study found that the structure of a physician community has significant impact on readmission rate and hospitalisation cost. Healthcare administrators or managers could consider this finding in developing effective and efficient healthcare environments in their respective healthcare organisations.
Educating the Health Informatics Professional: The Impact of an Academic Program
Authors: Whetton Sue  , Hazlitt Cherie
Published: February 2025

Introduction: The successful implementation and utilisation of electronic health information systems is dependent on a highly knowledgeable and skilled workforce. In Australia there is a range of education and training opportunities that seeks to meet these workforce needs. This range of programs reflects both the multi-disciplinary characteristic of health informatics and its wide application within the healthcare environment. We need to discuss the role of each program or type of program in developing a skilled and knowledgeable workforce, and in expanding the knowledge base of the discipline. This paper contributes to such a discussion by describing a pilot study that focused specifically on the role/impact of the University of Tasmania academic health informatics program.
Development and Practice of Store-and-Forward Telehealth Systems in Ophthalmology Dental and Emergency
Authors: Xiao Di  , Vignarajan Janardhan  , Boyle Justin  , Zhang Ming  , Estai Mohamed R Abdalla  , Tennant Marc  , Tay-Kearney Mei-Ling  , Kanagasingam Yogesan
Published: February 2025

Store-and-forward (S&F) telehealth system has been becoming an increasing application in remote medical consultations. In this paper, we will introduce three novel S&F telehealth systems we developed for ophthalmological, dental and emergency applications. We will explain the general system architecture of the S&F systems. Then we will focus on the specific features and components in each system implemented for meeting their respective clinical requirements. In the final section we will present further implementation details and practices and provide discussions.
Incidence Rate of Prediabetes: An Analysis of New Zealand Primary Care Data
Authors: Gu Yulong  , Warren Jim  , Kennelly John  , Walker Natalie  , Harwood Matire
Published: February 2025

Introduction: Diabetes is a common disease affecting 9% of the adult population worldwide. People with impaired glucose tolerance (‘prediabetes’) are at high risk of progressing to type 2 diabetes.
Automated Classification of Clinical Incident Types
Authors: Gupta Jaiprakash  , Koprinska Irena  , Patrick Jon
Published: February 2025

We consider the task of automatic classification of clinical incident reports using machine learning methods. Our data consists of 5448 clinical incident reports collected from the Incident Information Management System used by 7 hospitals in the state of New South Wales in Australia. We evaluate the performance of four classification algorithms: decision tree, naïve Bayes, multinomial naïve Bayes and support vector machine. We initially consider 13 classes (incident types) that were then reduced to 12, and show that it is possible to build accurate classifiers. The most accurate classifier was the multinomial naïve Bayes achieving accuracy of 80.44% and AUC of 0.91. We also investigate the effect of class labelling by an ordinary clinician and an expert, and show that when the data is labelled by an expert the classification performance of all classifiers improves. We found that again the best classifier was multinomial naïve Bayes achieving accuracy of 81.32% and AUC of 0.97. Our results show that some classes in the Incident Information Management System such as Primary Care are not distinct and their removal can improve performance; some other classes such as Aggression Victim are easier to classify than others such as Behavior and Human Performance. In summary, we show that the classification performance can be improved by expert class labelling of the training data, removing classes that are not well defined and selecting appropriate machine learning classifiers.
Model Selection and Variable Aggregation of Australian Hospital Data
Authors: Heiniger Liam  , Good Norm  , Khanna Sankalp
Published: February 2025

Background: Hospital administrative data commonly consist of hundreds of variables with many consisting of hundreds, if not thousands, of distinct categories, especially for disease groups. Conventional approaches to develop regression models for prediction either fail completely due to multicollinearity or sparsity issues or take too long and consume too many computer resources.
Persons and Their Personal Health Records: Augmented Embodiment Meets the Quasi-Doctor
Authors: Wellner Galit
Published: February 2025

The links between a Personal Health Record (PHR) and an Electronic Health Record (EHR) have influences beyond the technical tethering. It should involve an analysis of the relations between users, healthcare professionals and technology. In order to provide fresh perspectives, the postphenomenological relations of embodiment, hermeneutic and alterity are analyzed and developed into augmented embodiment and quasi-doctor terminology.
Journals' Editorial Policies – An Analysis of the Instructions for Authors of Croatian Open Access Journals
Authors: Stojanovski Jadranka
Published: February 2025

The growing number of publications presenting research findings, the pressure on scientists to produce publications in great quantity, and the shift in the business models of many journals increased importance of journals' editorial practices, which are well represented in guidelines for preparing the manuscript for submission. Journals have a special responsibility to protect research integrity and to keep trust in journal publishing. This study looked at information on editorial practices in the instructions for authors of Croatian Open Access journals. 283 instructions for authors from all disciplines were examined according to the broad range of publishing issues grouped in hierarchically organized categories. Mostly addressed issues were manuscript layout (276/283) and journal language (269/283). The most common ethical issues among journals from all disciplines were responsibility of author (73/283), funding (52/283), and accuracy (51/283). There are several ethical issues addressed significantly more often by biomedical journals, like responsibility of authors (14/30), publishing ethics (14/30), conflict of interest (12/30), funding (11/30), and authorship (11/30). In comparison with ethical issues common publishing issues like manuscript layout, manuscript elements, and type of paper were richly represented in journals from all disciplines.
Open Access and Research Assessment: Dealing with UK Open Access Requirements in Practice
Authors: Tate Dominic
Published: February 2025

This paper describes research-funder and research assessment policies in the UK and assesses the impact that these policies are having in the transition towards research outputs being made available on an open access basis.
Towards a Tool for Malaria Supply Chain Management Improvement in Rural Ghana
Authors: Carlo Lorena  , Bakken Suzanne  , Mamykina Lena  , Kodie Richmond  , Kanter Andrew S.
Published: February 2025

The maintenance of adequate quantities of antimalarial medicines and rapid diagnostic tests (RDTs) at health facilities in rural areas of sub-Saharan Africa is a challenging task because of poor supply chain management. Antimalarial stock-outs in the communities could lead patients (that need to travel long distances to get medications) to remain untreated, develop severe malaria and die. A prototype to improve the management of health commodities in rural Ghana through the visualization of current stock levels and the forecasting of commodities is proposed.
Comparing Drug-Disease Associations in Clinical Practice Guideline Recommendations and Drug Product Label Indications
Authors: Leung Tiffany I.  , Dumontier Michel
Published: February 2025

Clinical practice guidelines (CPGs) and structured product labels (SPLs) are both intended to promote evidence-based medical practices and guide clinicians' prescribing decisions. However, it is unclear how well CPG recommendations about pharmacologic therapies for certain diseases match SPL indications for recommended drugs. In this study, we use publicly available data and text mining methods to examine drug-disease associations in CPG recommendations and SPL treatment indications for 15 common chronic conditions. Preliminary results suggest that there is a mismatch between guideline-recommended pharmacologic therapies and SPL indications. Conflicting or inconsistent recommendations and indications may complicate clinical decision making and implementation or measurement of best practices.
Bridging the Gap from Bench to Bedside – An Informatics Infrastructure for Integrating Clinical, Genomics and Environmental Data (ICGED)
Authors: Mohyuddin
Published: February 2025

The abundance of heterogeneous biomedical data from a variety of sources demands the development of strategies to address data integration and management issues, so that the data can be used effectively in clinical practices and biomedical research. This research presents an Informatics Infrastructure for Integrating Clinical, Genomics and Environmental Data (ICGED) and provides a roadmap that envisions utilizing the clinical and biomedical resources in our case study. This work describes a data integration approach, proposed by ICGED, with a two-fold purpose: personalized medicine and biomedical data storage and sharing platform. It describes our experiences integrating disease specific clinical and genomics datasets with Data Integration and Analysis Tools (DIAT)-using Informatics for Integrating Biology and the Bedside, and discusses work in progress and future work for extending DIAT, and the development of Risk Assessment and Prediction Tools, Clinical Decision Support Systems and a Bioinformatics Data Warehouse.
Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics
Authors: Ng Kenney  , Kakkanatt Chris  , Benigno Michael  , Thompson Clay  , Jackson Margaret  , Cahan Amos  , Zhu Xinxin  , Zhang Ping  , Huang Paul
Published: February 2025

As the volume and variety of healthcare related data continues to grow, the analysis and use of this data will increasingly depend on the ability to appropriately collect, curate and integrate disparate data from many different sources. We describe our approach to and highlight our experiences with the development of a robust data collection, curation and integration infrastructure that supports healthcare analytics. This system has been successfully applied to the processing of a variety of data types including clinical data from electronic health records and observational studies, genomic data, microbiomic data, self-reported data from surveys and self-tracked data from wearable devices from over 600 subjects. The curated data is currently being used to support healthcare analytic applications such as data visualization, patient stratification and predictive modeling.
Automated Detection of Health Websites' HONcode Conformity: Can N-gram Tokenization Replace Stemming?
Authors: Boyer Célia  , Dolamic Ljiljana  , Grabar Natalia
Published: February 2025

Authors evaluated supervised automatic classification algorithms for determination of health related web-page compliance with individual HONcode criteria of conduct using varying length character n-gram vectors to represent healthcare web page documents. The training/testing collection comprised web page fragments extracted by HONcode experts during the manual certification process. The authors compared automated classification performance of n-gram tokenization to the automated classification performance of document words and Porter-stemmed document words using a Naive Bayes classifier and DF (document frequency) dimensionality reduction metrics. The study attempted to determine whether the automated, language-independent approach might safely replace word-based classification. Using 5-grams as document features, authors also compared the baseline DF reduction function to Chi-square and Z-score dimensionality reductions. Overall study results indicate that n-gram tokenization provided a potentially viable alternative to document word stemming.
Temporal Relation Extraction in Outcome Variances of Clinical Pathways
Authors: Yamashita Takanori  , Wakata Yoshifumi  , Hamai Satoshi  , Nakashima Yasuharu  , Iwamoto Yukihide  , Franagan Brendan  , Nakashima Naoki  , Hirokawa Sachio
Published: February 2025

Recently the clinical pathway has progressed with digitalization and the analysis of activity. There are many previous studies on the clinical pathway but not many feed directly into medical practice. We constructed a mind map system that applies the spanning tree. This system can visualize temporal relations in outcome variances, and indicate outcomes that affect long-term hospitalization.
Online Training Assessment For Primary Care Professionals Of The City Of São Paulo
Authors: Alavarce Debora Cristina  , Ciqueto Peres Heloisa Helena
Published: February 2025

Students who participate in courses and training offered in distance mode receive positive results in learning evaluations. Most studies show improvement in knowledge in pre- and post- course comparisons; however, there are still few evaluations of long-term knowledge retention. This study compares the learning scores of online training for health professionals in three different times: before training, immediately after, and 180 days later. This technological production research includes quantitative, descriptive and multivariate correlational, longitudinal, and panel types. The results show that online training has a positive impact on learning and knowledge retention. Whereas learning can be related to the impact of training, i.e., with the transfer of what was gathered for professional practice, learning retention of online training applied to health professionals represents an important step and assists in identifying the best strategies so expected results are achieved.
Towards an Ontology-driven Framework to Enable Development of Personalized mHealth Solutions for Cancer Survivors' Engagement in Healthy Living
Authors: Myneni Sahiti  , Amith Muhammad  , Geng Yimin  , Tao Cui
Published: February 2025

Adolescent and Young Adult (AYA) cancer survivors manage an array of health-related issues. Survivorship Care Plans (SCPs) have the potential to empower these young survivors by providing information regarding treatment summary, late-effects of cancer therapies, healthy lifestyle guidance, coping with work-life-health balance, and follow-up care. However, current mHealth infrastructure used to deliver SCPs has been limited in terms of flexibility, engagement, and reusability. The objective of this study is to develop an ontology-driven survivor engagement framework to facilitate rapid development of mobile apps that are targeted, extensible, and engaging. The major components include ontology models, patient engagement features, and behavioral intervention technologies. We apply the proposed framework to characterize individual building blocks (“survivor digilegos”), which form the basis for mHealth tools that address user needs across the cancer care continuum. Results indicate that the framework (a) allows identification of AYA survivorship components, (b) facilitates infusion of engagement elements, and (c) integrates behavior change constructs into the design architecture of survivorship applications. Implications for design of patient-engaging chronic disease management solutions are discussed.
Template and Model Driven Development of Standardized Electronic Health Records
Authors: Kropf Stefan  , Chalopin Claire  , Denecke Kerstin
Published: February 2025

Digital patient modeling targets the integration of distributed patient data into one overarching model. For this integration process, both a theoretical standard-based model and information structures combined with concrete instructions in form of a lightweight development process of single standardized Electronic Health Records (EHRs) are needed. In this paper, we introduce such a process along side a standard-based architecture. It allows the modeling and implementation of EHRs in a lightweight Electronic Health Record System (EHRS) core. The approach is demonstrated and tested by a prototype implementation. The results show that the suggested approach is useful and facilitates the development of standardized EHRSs.
Automated Learning of Temporal Expressions
Authors: Redda Douglas  , Shaoa YiJun  , Yang Jing  , Divita Guy  , Zeng-Treitler Qing
Published: February 2025

Clinical notes contain important temporal information that are critical for making clinical diagnosis and treatment as well as for retrospective analyses. Manually created regular expressions are commonly used for the extraction of temporal information; however, this can be a time consuming and brittle approach. We describe a novel algorithm for automatic learning of regular expressions in recognizing temporal expressions.
A Two-stage Dynamic Model to Enable Updating of Clinical Risk Prediction from Longitudinal Health Record Data: Illustrated with Kidney Function
Authors: Akbarov Artur  , Williams Richard  , Brown Benjamin  , Mamas Mamas  , Peek Niels  , Buchan Iain  , Sperrin Matthew
Published: February 2025

We demonstrate the use of electronic records and repeated measures of risk factors therein, to enable deeper understanding of the relationship between the full longitudinal trajectory of risk factors and outcomes. To illustrate, dynamic mixed effect modelling is used to summarise the level, trend and monitoring intensity of kidney function. The output from this model then forms covariates for a recurrent event Cox proportional hazards model for predicting adverse events (AE). Using data from Salford, UK, our multivariate model finds that steeper declines in kidney function raise the hazard of AE (HR: 1.13, 95% CI (1.05, 1.22)). There is a non-proportional relationship between the hazard of AE and the monitoring intensity of kidney function. Neither of these variables would be present in a classical risk prediction model.. This work illustrates the potential of using the full longitudinal profile of risk factors, rather than just their level. There is an opportunity for deep statistical learning leading to rich clinical insight using longitudinal signals in electronic data.
Harmonizing Nursing Terminologies
Authors: Coenen Amy  , Paese Fernanda  , Saba Virginia  , Jansen Kay  , Hardiker Nicholas R.  , Kim Tae Youn
Published: February 2025

In this paper, the authors report on a study aimed at harmonising two nursing terminologies, the Clinical Care Classification (CCC) and the International Classification for Nursing Practice (ICNP®). As the electronic health record evolves and the need for interoperability extends beyond local and national borders, a degree of standardisation across healthcare terminologies become essential. Harmonising across terminologies results in a) increased consensus relating to domain content and b) improvements in the terminologies involved. Findings from this study suggest that there is much overlap of content in nursing terminologies. The continued harmonisation between nursing terminologies and other healthcare terminologies are recommended to achieve international interoperability.
Diagnostic Imaging Integrated Network: A Teleradiology Pilot in Public Hospitals in Uruguay
Authors: Acosta Lilian  , Ruibal Faral Karime
Published: February 2025

A network of health care centers allows radiologists to share diagnostic images in different areas of Uruguay. This solution is based on an informatics multicenter application for center management, enabling the creation, storage and distribution of images and reports from different imaging modalities according to outsourcing agreements. The solution improves health care territorial equity and reduces asymmetry in resources distribution.
A Development of Automatic Audit System for Written Informed Consent using Machine Learning
Authors: Yamada Hitomi  , Takemura Tadamasa  , Asai Takahiro  , Okamoto Kazuya  , Kuroda Tomohiro  , Kuwata Shigeki
Published: February 2025

In Japan, most of all the university and advanced hospitals have implemented both electronic order entry systems and electronic charting. In addition, all medical records are subjected to inspector audit for quality assurance. The record of informed consent (IC) is very important as this provides evidence of consent from the patient or patient's family and health care provider. Therefore, we developed an automatic audit system for a hospital information system (HIS) that is able to evaluate IC automatically using machine learning.
iDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences
Authors: Lloyd Buffy  , Groat Danielle  , Cook Curtiss B.  , Kaufman David  , Grando Adela
Published: February 2025

Diabetes is a complex disease affecting 29.1 million (9.3%) US citizens [1]. It is a chronic illness that needs continual medical care and ongoing patient self-management, education, and support [2]. There is no cure for diabetes, requiring patients to conduct frequent self-monitoring of blood glucose and dosing of insulin in many cases. Evidence has shown that patients are more adherent to their diabetes management plan when they incorporate personal lifestyle choices [3]. To address the challenge of empowering patients to better manage their diabetes, we have developed a novel mobile application prototype, iDECIDE, that refines rapid-acting insulin dose calculations by incorporating two important patient variables in addition to carbohydrates consumed that are not a part of standard insulin dose calculation algorithms: exercise and alcohol intake [4, 5]. A retrospective analysis for the calibration and evaluation of iDECIDE is underway by comparing recommendations made by the application against dosing recommendations made by insulin pumps.
Development of Clinical Database System Specialized for Heavy Particle Therapy
Authors: Mukai Masami  , Ando Yutaka  , Yokooka Yuki  , Okuda Yasuo  , Seki Masayoshi  , Kimura Masahiro  , Tsuji Hiroshi  , Kamada Tadashi
Published: February 2025

We have developed a data archiving system for study of charged particle therapy. We required a data-relation mechanism between electronic medical record system (EMR) and database system, because it needs to ensure the information consistency. This paper presents the investigation results of these techniques. The standards in the medical informatics field that we focus on are Integrating the Healthcare Enterprise (IHE) and 2) Health Level-7 (HL7) to archive the data. As a main cooperation function, we adapt 2 integration profiles of IHE as follows, 1) Patient Administration Management (PAM) Profile of IHE-ITI domain for patient demographic information reconciliation, 2) Enterprise Schedule Integration(ESI) profile of IHE-Radiation Oncology domain for order management between EMR and treatment management system(TMS). We also use HL7 Ver2.5 messages for exchanging the follow-up data and result of laboratory test. In the future, by implementation of this system cooperation, we will be able to ensure interoperability in the event of the EMR update.
The Impact of Implementing a New Computerized Physician Order Entry (CPOE) System on Pharmaceutical Interventions in a Tertiary Brazilian Hospital
Authors: Pinto Pizzo Vladimir Ribeiro  , Gonçalves Paula Brito  , Goncalves Barbosa Lívia Maria  , Mantovani Faustino de Carvalho Debora Cecilia  , Ortiz de Camargo Margareth  , Onofre de Lira Carlos
Published: February 2025

We analyzed trends in pharmaceutical interventions during the implementation of a new computerized physician order entry (CPOE) process in a tertiary hospital in Brazil. The new process utilized an eletronic interface that was designed in-house and an automatic order extension program. The new process reduced the number of order transcriptions and mitigated other potential CPOE-related errors [1].
Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction
Authors: Caraballo Pedro J.  , Parkulo Mark  , Blair David  , Elliott Michelle  , Schultz Cloann  , Sutton Joseph  , Rao Padma  , Bruflat Jamie  , Bleimeyer Robert  , Crooks John  , Gabrielson Donald  , Nicholson Wayne  , Rohrer Vitek Carolyn  , Wix Kelly  , Bielinski Suzette J.  , Pathak Jyotishman  , Kullo Iftikhar
Published: February 2025

The level of CYP2D6 metabolic activity can be predicted by pharmacogenomic testing, and concomitant use of clinical decision support has the potential to prevent adverse effects from those drugs metabolized by this enzyme. Our initial findings after implementation of clinical decision support alerts integrated in the electronic health records suggest high feasibility, but also identify important challenges.
AAL@MEO: Interactive Digital-TV to Support Home Care
Authors: Ribeiro Vitor Simões  , Martins Ana Isabel  , Queirós Alexandra  , Silva Anabela G.  , Rocha Nelson Pacheco
Published: February 2025

This paper presents the evaluation of the AAL@MEO, an application to aggregate technological solutions supporting home care. This application is intended to be integrated in the MEO service, which is a Portuguese commercial service of Internet Protocol TV. The use of a TV set at home as the central interaction and communication system is advantageous for elderly users that do not have a close relationship with technological advances but are used to control their TV set. The results of the evaluation of the AAL@MEO show that elderly users are willing for new services and have a milder rejection towards the interaction with the TV set. However, the interaction mechanisms based on a remote control with multiple functions need further developments.
Improving Assistive Technology Service by Using 3D Printing: Three Case Studies
Authors: Watanabe Takashi  , Hatakeyama Takuro  , Tomiita Mitsuru
Published: February 2025

Assistive technology services are essential for adapting assistive devices to the individual needs of users with disabilities. In this study, we attempted to apply three-dimensional (3D) printing technology to three actual cases, and to study its use, effectiveness, and future applications. We assessed the usefulness of 3D printing technology by categorizing its utilization after reviewing the outcomes of these case studies. In future work, we aim to gather additional case studies and derive information on using 3D printing technology that will enable its effective application in the process of assistive technology services.
Maximizing Employment Outcomes through the Use of “Lower-Tech” Assistive Technology & Rehabilitation Engineering
Authors: Grott Ray
Published: February 2025

For many people with disabilities, Assistive Technology tools and Rehabilitation Engineering principles are key to successful employment outcomes. At the same time, employers and service providers are often under the impression that accommodations and AT solutions require high-tech, complicated, and expensive technologies. This paper discusses how creative problem solving and a “keep it simple” mindset can result in very functional low-cost solutions.
Tele-care robot for assisting independent senior citizens who live at home
Authors: Katz Reuven
Published: February 2025

In the last twenty years most developed countries face dramatic demographic changes, and predominantly the rapid aging of their population. As the share of elderly people is climbing while the number of care providers is declining, the aging problem is becoming an increasingly important social and economic challenge.
A network of peers and practices for addressing Learner Variability: UDLnet
Authors: Riviou Katerina  , Kouroupetroglou Georgios  , Oikonomidis Nikolaos
Published: February 2025

Grounded on new research in neuroscience and the Design for All principles, Universal Design for Learning (UDL) constitutes an educational approach that promotes access, participation and progress in the general curriculum for all learners. The difficulty is in all cases translating the UDL principles and guidelines into practice. Though the UDL policy context supports a shift to inclusion, professionals need more support to develop their practice. In order to bridge the gap between policies and practice the UDLnet network aspires to address this necessity collecting and creating good practices under the framework of Universal Design for Learning. This paper presents the UDLnet project, its aims, the methodological framework, as well as the envisaged themes. UDLnet is a European network that aims to contribute to the improvement of teachers' practice in all areas of their work, combining ICT skills with UDL-based innovations in pedagogy, curriculum, and institutional organization.
Validation of Mobility of Pedestrians with Low Vision Using Graphic Floor Signs and Voice Guides
Authors: Omori Kiyohiro  , Yanagihara Takao  , Kitagawa Hiroshi  , Ikeda Norihiro
Published: February 2025

Some people with low vision or elderly persons tend to walk while watching a nearby floor, therefore, they often overlook or hard to read suspended signs. In this study, we propose two kinds of voice guides, and an experiment is conducted by participants with low vision using these voice guides and graphic floor signs in order to investigate effectiveness of these combinations. In clock position method (CP), each direction of near facilities are described in using an analogy of a 12-hour clock. Meanwhile, in numbering method (NU), near facilities are put the number in clockwise order, however, each direction are only illustrated in a crossing sign. As a result of an experiment, it is showed that both voice guides are effective for pedestrians with low vision. NU is used as a complement of graphic floor signs. Meanwhile, CP is used independently with graphic floor signs, however, there is a risk in the case of using in the environment where pedestrians are easy to mistake the reference direction defined by the sounding speaker.
Innovative methods and tools for professionals working in supported living services for intellectually disabled persons
Authors: Gruiz Katalin
Published: February 2025

Autonomy of mid-seriously and seriously intellectually disabled persons is encouraged both by legislations on human rights and the modern social care and services. The process leading to the maximum possible autonomy is illustrated by a developmental spiral in our model. Specialty of the development is that the personal educational projects are realized during everyday activities. The process requires conscious professionals with an empowering and motivating attitude, with adult relationship to the intellectually disabled persons and versatile skills and tools. In this educational relationship the social professional and the supported person are equal partners moving together along the spiral of human development. An innovative tool-battery has been developed aiding support-staff in the ‘pedagogical’ task embedded into everyday social services. The tool-battery and its first application in supported living services of the Hungarian Down Foundation are introduced in this paper.
The relationship between the key elements of Donabedian's conceptual model within the field of assistive technology
Authors: Sund Terje  , Iwarsson Susanne  , Brandt Åse
Published: February 2025

Previous research has suggested that there is a relationship between the three key components of Donabedian's conceptual model for quality assessments: structure of care, process, and outcome of care. That is, structure predicted both process and outcome of care, and better processes predict better functional outcomes and user satisfaction. The results in this study involving samples of Danish and Norwegian scooter users indicate that structure predicts what goes on in the service delivery process. However, the results do not support that structural differences or differences in the service delivery process predict the outcomes of the scooter interventions.
Automatic Quiz Generation for the Elderly
Authors: Chen Weiqin  , Samuelsen Jeanette
Published: February 2025

According to the literature, ageing causes declines in sensory, perceptual, motor and cognitive abilities. The combination of reduced vision, hearing, memory and mobility contributes to isolation and depression. We argue that memory games have potential for enhancing the cognitive ability of the elderly and improving their life quality. In our earlier research, we designed tangible tabletop games to help the elderly remember and talk about the past. In this paper, we report on our further research in the automatic generation of quizzes based on Wikipedia and other online resources for entertainment and memory training of the elderly.
ICT services for prolonging independent living of the elderly with cognitive impairments – IN LIFE concept
Authors: Panou Maria  , Cabrera Maria F.  , Bekiaris Evangelos  , Touliou Katerina
Published: February 2025

Older people with cognitive impairment need support in their everyday living. IN LIFE an EC co-funded project aims to organize large-scale and multi-country pilot applications, by providing interoperable, open, personalised and seamless ICT solutions that support older persons in all key home activities, communication, health maintenance, travel, mobility and socialisation tasks, with novel, scalable and viable business models.