bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Healthcare-Associated Urinary Tract Infection in Swedish Electronic Health Records
Authors: Tanushi Hideyuki  , Kvist Maria  , Sparrelid Elda
Published: February 2025

The prevalence of healthcare-associated infections (HAI) stresses the need for automatic surveillance in order to follow the effect of preventive measures. A number of detection systems have been set up for several languages, but none is known for Swedish hospitals. We plan a series of infection type specific programs for detection of HAI in electronic health records at a Swedish university hospital. Also, we aim at detecting HAI for patients entering hospital with HAI from previous care, a task that is not often addressed. This first study aims at surveillance of healthcare-associated urinary tract infections. The created rule-based system depends on acquiring the essential clinical information, and a combination of data and text mining is used. The wide range of diverse clinics with different traditions of documentation poses difficulties for detection. Results from evaluation on 1,867 care episodes from Oncology and Surgery show high precision (0.98), specificity (0.99) and negative predictive value (0.99), but an intermediate recall (0.60). An error analysis of the evaluation is presented and discussed.
A Study on Textual Features for Medical Records Classification
Authors: Alicante Anita  , Amato Flora  , Cozzolino Giovanni  , Gargiulo Francesco  , Improda Nicla  , Mazzeo Antonino
Published: February 2025

Healthcare domain is characterized by a huge amount of data, contained in medical records, reports, test results and so on. In order to give support to healthcare workers and manage relevant data in effective and efficient way, it is important to correctly classify the unstructured parts of text, embedded in the medical documents.
Ontology and Normativity in the Care-Robot Relationship
Authors: Carnevale Antonio
Published: February 2025

Robots are an emerging technology in many areas such as military engineering, logistic services, and autonomous vehicles. One of the most promising areas of their implementation is human care. Care robots (CRs) have not yet been commercialized but evidence suggests that their future use will be substantial and challenging. Consequently, to understand this challenge, we first need to understand why CRs represent for people and healthcare systems a long-awaited relief. Patients, institutions, and companies are progressively investing their hopes, public and private resources for fostering the commercialization of CRs. Why? In this paper I will reconstruct the conceptual framework behind this expectation. I will argue that it is not based on a simplistic hope in a new commercial artifact but rather, it rests on the basic changes of two rational features of human reality – ontology and normativity. These two dimensions of reality – classically thought of as separate – will be challenged and increasingly interconnected by the imminent development of emerging technologies, and particularly by the developments of CRs.
A Distributed PTX Compilation and Execution System on Hybrid CPU/GPU Clusters
Authors: Liang Tyng-Yeu  , Li Hung-Fu  , Chen Bi-Shing
Published: February 2025

Hybrid CPU/GPU cluster recently has become an attractive solution for high performance computing because it can produce more computation power with less energy consumption than CPU-only cluster. However, users must overcome lots of programming difficulty to completely exploit hybrid CPU/GPU clusters. As a result, they hesitate to move toward to this new computing architecture. To address this problem, we propose a distributed PTX compilation and execution system on hybrid CPU/GPU cluster called BigGPU in this paper. This system is aimed at emulating a single huge GPU image on a cluster of CPUs and GPUs connected by networks for executing their CUDA programs. With the support of this system, they can write CUDA programs for a single GPU while simultaneously use multiple distributed CPUs and GPUs for sharing the work of the same program without MPI and multithreading programming. Moreover, they need not care about the problems of insufficient device memory capability, and thread configuration constraints existing in a physical GPU because BigGPU emulates a large scale of device memory and stream processors by integrating multicore CPUs and many-core GPUs.
An Enhanced Fuzzy Model For Cluster Head Election In Wireless Sensor Networks
Authors: Afifi Walaa A.  , Hefny Hesham A.
Published: February 2025

The limited energy power supply of sensor nodes has significant impact on the network lifetime. The good topology control led to distribute the energy load among sensor nodes and increase network lifetime. Cluster routing protocols minimize the total energy dissipation, and divide the role of sensor nodes into ordinary nodes and cluster head nodes. Fuzzy models are used frequently for electing the appropriate cluster head nodes. These fuzzy models are less interpretable, and built by expert's knowledge; and the number of fuzzy rules is determined by number of linguistic terms and linguistic variables. This paper enhances fuzzy model for cluster head and relay nodes election by using fuzzy clustering algorithm. In addition to, Applying fuzzy clustering algorithm in cluster formation guarantees well clusters distribution in network area. The simulation results explained the proposed protocol is more efficient against the famous cluster routing protocol LEACH, CHEF, EEUC, and FCM.
System Migration for a Weapon Maintenance Data Collection and Analysis System: An Experience Report
Authors: Ting Der-Hong  , Hsueh Nien-Lin
Published: February 2025

The performance of a weapon system can be monitored by a maintenance data collection and analysis system. After years of operations, the military decides to migrate the software system to adapt new technology and improve the system performance. Meanwhile, the requirement elicitation processes are enhanced by coordinating the end-users and management-level for requirements review. The analysis results are improved by assuring related responsibilities and better communication truly improves the integrated team works. This paper reports on the experiences on the software system migration and lessons learned are discussed.
Metagenomic Analysis of Human Oral Microbiome Composition on the Cloud Platform
Authors: Chen Wen-Pei  , Tsai Suh-Jen Jane  , Liou Ming-Li  , Tsai Chi-Ying  , Liao Ki-Hok  , Chen Chun-Jung  , Lin Yaw-Ling
Published: February 2025

Metagenomic information provides deeper understanding of the ecological role, metabolism, and evolutionary history of microbes in a given ecosystem by analyzing environmental DNA directly without prior cultivation. In this paper, we propose methods and implement tools and web services to facilitate the bioinformatics analysis of metagenomic data. The open-source metagenomic sequences data analysis softwares and Hadoop Map/Reduce framework were integrated to construct accessible cloud platforms for metagenomic data analysis. The functionality of the platform is examined by composition analysis of human oral microbiome. The metagenomic analysis tools on cloud platforms are accessible by users through the web services with corresponding virtual machine images provided.
Trialling an Electronic Decision Aid for Policy Developers to Support Ageing Well
Authors: Cummings Elizabeth  , Ellis Leonie  , Tin Eh Eh  , Boyer Kim  , Orpin Peter
Published: February 2025

The complex process of developing policies and planning services requires the compilation and collation of evidence from multiple sources. With the increasing numbers of people living longer there will be a high demand for a wide range of aged care services to support people in ageing well. The premise of ageing well is based on providing an ageing population with quality care and resources that support their ongoing needs. These include affordable healthcare, end of life care improvement, mental health services improvement, care and support improvement for people with dementia, and support for healthy ageing. The National Health and Medical Research Council funded a research project to develop a policy tool to provide a framework to assist policy makers and service planners in the area of ageing well in rural and regional Australia. It was identified that development of an electronic version of the policy tool could be useful resulting in a small pilot development being undertaken and tested with policy makers and service planners. This paper describes the development and trialling of a tablet based application used to assess the acceptability of computerised forms for participants actively involved in policy development. It reports on the policy developer's experience of the electronic tool to support ageing well policy making based on evidence.
Using Business Intelligence for Efficient Inter-Facility Patient Transfer
Authors: Haque Waqar  , Derksen Beth Ann  , Calado Devin  , Foster Lee
Published: February 2025

In the context of inter-facility patient transfer, a transfer operator must be able to objectively identify a destination which meets the needs of a patient, while keeping in mind each facility's limitations. We propose a solution which uses Business Intelligence (BI) techniques to analyze data related to healthcare infrastructure and services, and provides a web based system to identify optimal destination(s). The proposed inter-facility transfer system uses a single data warehouse with an Online Analytical Processing (OLAP) cube built on top that supplies analytical data to multiple reports embedded in web pages. The data visualization tool includes map based navigation of the health authority as well as an interactive filtering mechanism which finds facilities meeting the selected criteria. The data visualization is backed by an intuitive data entry web form which safely constrains the data, ensuring consistency and a single version of truth. The overall time required to identify the destination for inter-facility transfers is reduced from hours to a few minutes with this interactive solution.
In Case of Emergency – Are ICD-10 Codes Enough?
Authors: Juhra Christian  , Schenkel Johannes  , Albert Jürgen  , Butz Norbert  , Born Judith
Published: February 2025

In an acute emergency, the knowledge of the patient's medical history, allergies, implants, and medication can be crucial. ICD-10 code to document medical diagnoses alone often does not contain enough information. Our comparison of 388 documented diagnoses (ICD-10 codes as well as free text) showed that almost 20% of all coded ICD-10 codes contained less information than the documented free text. Thus, if using ICD-10 codes, free text diagnoses must be a necessary item in the upcoming German Medical Emergency DataSet.
Awareness of Technology-Induced Errors and Processes for Identifying and Preventing Such Errors
Authors: Bellwood Paule  , Borycki Elizabeth M.  , Kushniruk Andre W.
Published: February 2025

There is a need to determine if organizations working with health information technology are aware of technology-induced errors and how they are addressing and preventing them. The purpose of this study was to: a) determine the degree of technology-induced error awareness in various Canadian healthcare organizations, and b) identify those processes and procedures that are currently in place to help address, manage, and prevent technology-induced errors. We identified a lack of technology-induced error awareness among participants. Participants identified there was a lack of well-defined procedures in place for reporting technology-induced errors, addressing them when they arise, and preventing them.
A Decision Support System Model for Desiging Software Architecture
Authors: Raza Mubashar  , Usman Muhammad
Published: February 2025

The architecture of a software system is the outcome of architectural design decisions. There are many existing approaches which facilitate decision making, decision modeling and architecture evaluation on the basis of quality attributes but there is no technique which provides a complete approach for decision making, decision modeling and evaluating the architecture in software architecting process. In this paper, we present a literature review and critical evaluation of existing approaches. On the basis of critical evaluation of existing approaches, we propose a model, which provides a comprehensive approach for software architecture design process. Our approach provides a knowledge base and also provides the evaluation of architecture in architecting process. Our model provides a systematic way of architecting to increase the effectiveness and consistency of architectural design decisions.
Bridging the Distance in the Caribbean: Telemedicine as a means to build capacity for care in paediatric cancer and blood disorders
Authors: Adler Ellie  , Alexis Cheryl  , Ali Zulaika  , Allen Upton  , Bartels Ute  , Bick Cassandra  , Bird-Compton Jacqueline  , Bodkyn Curt  , Boyle Rosemary  , De Young Stephanie  , Fleming-Carroll Bonnie  , Gupta Sumit  , Ingram-Martin Patricia  , Irwin Meredith  , Kirby-Allen Melanie  , McLean-Salmon Sharon  , Mihelcic Paul  , Richards-Dawson Michelle Ann  , Reece-Mills Michelle  , Shaikh Furqan  , Sinquee-Brown Corrine  , Thame Minerva  , Weitzman Sheila  , Wharfe Gilian  , Blanchette Victor
Published: February 2025

Over the past 50 years, survival for children in high-income countries has increased from 30% to over 80%, compared to 10-30% in low and middle income countries (LMIC). Given this gap in survival, established paediatric cancer treatment centres, such as The Hospital for Sick Children (SickKids) are well positioned to share clinical expertise. Through the SickKids Centre for Global Child Health, the SickKids-Caribbean Initiative (SCI) was launched in March 2013 to improve the outcomes and quality of life for children with cancer and blood disorders in the Caribbean. The six participating Caribbean countries are among those defined by the United Nations as Small Island Developing States, due to their small size, remote location and limited accessibility. Telemedicine presents an opportunity to increase their accessibility to health care services and has been used by SCI to facilitate two series of interprofessional rounds. Case Consultation Review Rounds are a forum for learning about diagnostic work-up, management challenges and treatment recommendations for these diseases. To date, 54 cases have been reviewed by SickKids staff, of which 35 have been presented in monthly rounds. Patient Care Education Rounds provide nurses and other staff with the knowledge base needed to safely care for children and adolescents receiving treatment. Five of these rounds have taken place to date, with over 200 attendees. Utilized by SCI for both clinical and non-clinical meetings, telemedicine has enhanced opportunities for collaboration within the Caribbean region. By building capacity and nurturing expert knowledge through education, SCI hopes to contribute to closing the gap in childhood survival between high and low-resource settings.
Exploring the Views of Emergency Department Staff on the Use of Videoconferencing for Mental Health Emergencies in Southwestern Ontario
Authors: Pangka Kyle R.  , Chandrasena Ranjith  , Wijeratne Nishardi  , Mann Miriam
Published: February 2025

Patients presenting to a rural emergency department (ED) with mental health symptoms have difficulty accessing services of mental health professionals [1,2]. Videoconferencing (VC) has been found to improve patient access to health services that require specialist care in rural EDs [3,4,5]. Although previous studies highlight the benefit of using VC for patients presenting with mental health emergencies, no study has investigated the current views and use of VC for mental health emergencies in EDs in Southwestern Ontario [3,5,6]. To explore the views of ED staff regarding the use of VC in mental health emergencies, structured telephone interviews were conducted with representatives from EDs in the Erie St. Clair and Southwest Local Health Integration Networks (LHIN). Participants noted that using VC for mental health emergencies may improve patient experience and benefit crisis response teams. VC was perceived by some participants as a means to expedite the direct assessment of a patient presenting with a mental health emergency by a mental health specialist. However several participants stated that using VC for mental health emergencies strains ED resources. Lack of use and difficulty accessing a psychiatrist were identified as potential barriers to implementing the use of VC for mental health emergencies.
Improved Immediate and Continued-Care Outcomes for Stroke through Community-Wide Data
Authors: Shaha Steven H.  , Gilbert-Bradley Diane
Published: February 2025

Strokes account for 1 of every 18 deaths in North America, and remain a major burden cost-wise and clinically for societies globally. Quicker and more clinically astute care for stroke leads to improved outcomes for the patient, families and the healthcare system at large. The intervention shared illustrates how a locally-programmable EMR with inherent community-wide communications capabilities leads to proven better outcomes for all. The impacts range from initial hospital encounter through acute-care treatment, and then more broadly into post-discharge care community-wide. Implications for all healthcare communities are established.
Biomarkers in the Ontology for General Medical Science
Authors: Ceusters Werner  , Smith Barry
Published: February 2025

A great deal of recent work has been devoted to the topic of biomarkers as aids to diagnosis, prognosis and treatment evaluation. Basing our work on the Ontology for General Medical Science (OGMS) and on the specifications provided by the Institute of Medicine (IOM), we propose definitions for biomarkers of various types. These definitions provide a formal representation of what biomarkers are in a way that allows us to remove certain ambiguities and inconsistencies in the documentation provided by the IOM.
META-GLARE: a shell for CIG systems
Authors: Bottrighi Alessio  , Rubrichi Stefania  , Terenziani Paolo
Published: February 2025

In the last twenty years, many different approaches to deal with Computer-Interpretable clinical Guidelines (CIGs) have been developed, each one proposing its own representation formalism (mostly based on the Task-Network Model) execution engine. We propose META-GLARE a shell for easily defining new CIG systems. Using META-GLARE, CIG system designers can easily define their own systems (basically by defining their representation language), with a minimal programming effort. META-GLARE is thus a flexible and powerful vehicle for research about CIGs, since it supports easy and fast prototyping of new CIG systems.
Data Quality Evaluation in Medical Database Watermarking
Authors: Franco-Contreras Javier  , Coatrieux Gouenou  , Massari Philippe  , Darmoni Stefan  , Cuppens-Boulahia Nora  , Cuppens Frédéric  , Roux Christian
Published: February 2025

The use of watermarking in the protection of medical relational databases requires that the introduced distortion does not hinder records interpretation. In this paper, we present the preliminary results of a watermarked data quality evaluation protocol developed so as to analyze the perception the practitioner has of the watermark. These results show that some attributes are more appropriate for watermarking than others and also that incoherent or unlikely records resulting from careless watermarking are easily identified by an expert.
An adaptive scheduling model for a multi-agent based VEPR data collection actions
Authors: Vieira-Marques Pedro  , Jácome Jorge  , Hilário-Patriarca José  , Cruz-Correia Ricardo
Published: February 2025

With the purpose of improving the access to departmental legacy information systems, a multi agent based Virtual Electronic Patient Record (VEPR) was deployed at a major Portuguese Hospital. The agent module (MAID) is in charge of identifying new data produced (reports), collecting and making it available through an integrated web interface. The deployed MAID system uses a static interval for checking the existence of new data, however from the gathered data regarding each department data production it is observable a variable rate throughout the day. In order to address this variability an adaptive model was developed and tested in a simulated environment with real data. The model takes in consideration the past report production profiles for determining a variable query frequency in order to reduce the average time to make data available minimizing the number of departmental requests.
Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics
Authors: Panahiazar Maryam  , Taslimitehrani Vahid  , Pereira Naveen L.  , Pathak Jyotishman
Published: February 2025

Electronic Health Records (EHRs) contain a wealth of information about an individual patient's diagnosis, treatment and health outcomes. This information can be leveraged effectively to identify patients who are similar to each for disease diagnosis and prognosis. In recent years, several machine learning methods1have been proposed to assessing patient similarity, although the techniques have primarily focused on the use of patient diagnoses data from EHRs for the learning task. In this study, we develop a multidimensional patient similarity assessment technique that leverages multiple types of information from the EHR and predicts a medication plan for each new patient based on prior knowledge and data from similar patients. In our algorithm, patients have been clustered into different groups using a hierarchical clustering approach and subsequently have been assigned a medication plan based on the similarity index to the overall patient population. We evaluated the performance of our approach on a cohort of heart failure patients (N=1386) identified from EHR data at Mayo Clinic and achieved an AUC of 0.74. Our results suggest that it is feasible to harness population-based information from EHRs for an individual patient-specific assessment.
EpiHosp: A web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database
Authors: Ficheur Grégoire  , Ferreira Careira Lionel  , Beuscart Régis  , Chazard Emmanuel
Published: February 2025

Administrative data can be used for the surveillance of the outcomes of implantable medical devices (IMDs). The objective of this work is to build a web-based tool allowing for an exploratory analysis of time-dependent events that may occur after the implementation of an IMD. This tool should enable a pharmacoepidemiologist to explore on the fly the relationship between a given IMD and a potential outcome. This tool mine the French nationwide database of inpatient stays from 2008 to 2013. The data are preprocessed in order to optimize the queries. A web tool is developed in PHP, MySQL and Javascript. The user selects one or a group of IMD from a tree, and can filter the results using years and hospital names. Four result pages describe the selected inpatient stays: (1) temporal and demographic description, (2) a description of the geographical location of the hospital, (3) a description of the geographical place of residence of the patient and (4) a table showing the rehospitalization reasons by decreasing order of frequency. Then, the user can select one readmission reason and display dynamically the probability of readmission by mean of a Kaplan-Meier curve with confidence intervals. This tool enables to dynamically monitor the occurrence of time-dependent complications of IMD.
Integrated care: an Information Model for Patient Safety and Vigilance Reporting Systems
Authors: Rodrigues Jean-Marie  , Schulz Stefan  , Souvignet Julien
Published: February 2025

Quality management information systems for safety as a whole or for specific vigilances share the same information types but are not interoperable. An international initiative tries to develop an integrated information model for patient safety and vigilance reporting to support a global approach of heath care quality.
A Kinect based intelligent e-rehabilitation system in physical therapy
Authors: Gal Norbert  , Andrei Diana  , Nemeş Dan Ion  , Nădăşan Emanuela  , Stoicu-Tivadar Vasile
Published: February 2025

This paper presents an intelligent Kinect and fuzzy inference system based e-rehabilitation system. The Kinect can detect the posture and motion of the patients while the fuzzy inference system can interpret the acquired data on the cognitive level. The system is capable to assess the initial posture and motion ranges of 20 joints. Using angles to describe the motion of the joints, exercise patterns can be developed for each patient. Using the exercise descriptors the fuzzy inference system can track the patient and deliver real-time feedback to maximize the efficiency of the rehabilitation. The first laboratory tests confirm the utility of this system for the initial posture detection, motion range and exercise tracking.
Methods for Sonic Representation of Heart Rate During Exercise
Authors: Andor Minodora  , Tudor Anca  , Paralescu Sorin  , Mihalas George I.
Published: February 2025

Sonic display of HR changes during exercise helps both the patient and the investigator to better identify the transition from rest values to “exercise” zone. then crossing the “attention” threshold and reaching the “alert” threshold. Three types of sonic display were tested, based on combinations of saccadic sounds, different intensities and different pitch. The results indicate a clear preference towards a display marking each of the four zones by a specific pitch.
Designing the User Interfaces of a Behavior Modification Intervention for Obesity & Eating Disorders Prevention
Authors: Moulos Ioannis  , Maramis Christos  , Mourouzis Alexandros  , Maglaveras Nicos
Published: February 2025

The recent immense diffusion of smartphones has significantly upgraded the role of mobile user interfaces in interventions that build and/or maintain healthier lifestyles. Indeed, high-quality, user-centered smartphone applications are able to serve as advanced front-ends to such interventions. These smartphone applications, coupled with portable or wearable sensors, are being employed for monitoring day to day health-related behaviors, including eating and physical activity. Some of them take one step forward by identifying unhealthy behaviors and contributing towards their modification. This work presents the design as well as the preliminary implementation of the mobile user interface of SPLENDID, a novel, sensor-oriented intervention for preventing obesity and eating disorders in young populations. This is implemented by means of an Android application, which is able to monitor the eating and physical activity behaviors of young individuals at risk for obesity and/or eating disorders, subsequently guiding them towards the modification of those behaviors that put them at risk. Behavior monitoring is based on multiple data provided by a set of communicating sensors and self-reported information, while guidance is facilitated through a feedback/encouragement provision and goal setting mechanism.
Sharing Models and Tools for Processing German Clinical Texts
Authors: Hellrich Johannes  , Matthies Franz  , Faessler Erik  , Hahn Udo
Published: February 2025

The automatic processing of non-English clinical documents is massively hampered by the lack of publicly available medical language resources for training, testing and evaluating NLP components. We suggest sharing statistical models derived from access-protected clinical documents as a reasonable substitute and provide solutions for sentence splitting, tokenization and POS tagging of German clinical texts. These three components were trained on the confidential FRAMED corpus, a non-sharable collection of various German-language clinical document types. The models derived therefrom outperform alternative components from OPENNLP and the Stanford POS tagger, also trained on FRAMED.
A CAD System for the Acquisition and Classification of Breast TMA in Pathology
Authors: Fernández-Carrobles M. Milagro  , Bueno Gloria  , Déniz Oscar  , Salido Jesús  , García-Rojo Marcial  , González-López Lucía
Published: February 2025

Breast cancer is the most common type of cancer and the fifth leading cause of death in women over 40. Therefore, prompt diagnostic and treatment is essential. In this work a TMA Computer Aided Diagnosis (CAD) system has been implemented to provide support to pathologists in their daily work. For that purpose, the tool covers each and every process from the TMA core image acquisition to their individual classification. The first process includes: tissue core location, segmentation and rigid registration of digital microscopic images acquired at different magnifications (5x, 10x, 20x, 20x and 40x) from different devices. The classification process allows performing the core classification selecting different types of color models, texture descriptors and classifiers. Finally, the cores are classified into three categories: malignant, doubtful and benign.
An original imputation technique of missing data for assessing exposure of newborns to perchlorate in drinking water
Authors: Caron Alexandre  , Clement Guillaume  , Heyman Christophe  , Aernout Eva  , Chazard Emmanuel  , Le Tertre Alain
Published: February 2025

Introduction. Incompleteness of epidemiological databases is a major drawback when it comes to analyzing data. We conceived an epidemiological study to assess the association between newborn thyroid function and the exposure to perchlorates found in the tap water of the mother's home. Only 9% of newborn's exposure to perchlorate was known. The aim of our study was to design, test and evaluate an original method for imputing perchlorate exposure of newborns based on their maternity of birth.
EmoBurnout: An Approach for Supporting Burnout Syndrome Diagnosis
Authors: Martinez Esteban  , Mera Giovanni  , González Carolina  , López Diego M.  , Blobel Bernd
Published: February 2025

Burnout is scientifically a work related syndrome which consists of three dimensions: emotional exhaustion, depersonalization and reduced professional efficacy. Different instruments for the diagnosis of burnout exist, accompanied by many associated problems, however. This paper describes a proposal aiming at supporting the diagnosis of burnout using measures complementary to the Maslach Burnout Inventory (MBI). It specifically focuses on emotions detection to provide useful information that contributes to the decision making process about the syndrome.
A Generic Architecture for an Adaptive, Interoperable and Intelligent Type 2 Diabetes Mellitus Care System
Authors: Uribe Gustavo A.  , Blobel Bernd  , López Diego M.  , Schulz Stefan
Published: February 2025

Chronic diseases such as Type 2 Diabetes Mellitus (T2DM) constitute a big burden to the global health economy. T2DM Care Management requires a multi-disciplinary and multi-organizational approach. Because of different languages and terminologies, education, experiences, skills, etc., such an approach establishes a special interoperability challenge. The solution is a flexible, scalable, business-controlled, adaptive, knowledge-based, intelligent system following a systems-oriented, architecture-centric, ontology-based and policy-driven approach. The architecture of real systems is described, using the basics and principles of the Generic Component Model (GCM). For representing the functional aspects of a system the Business Process Modeling Notation (BPMN) is used. The system architecture obtained is presented using a GCM graphical notation, class diagrams and BPMN diagrams. The architecture-centric approach considers the compositional nature of the real world system and its functionalities, guarantees coherence, and provides right inferences. The level of generality provided in this paper facilitates use case specific adaptations of the system. By that way, intelligent, adaptive and interoperable T2DM care systems can be derived from the presented model as presented in another publication.
A strategic game of competitiveness with Quantitative Easing
Authors: Ko Yu-Chien  , Fujita Hamido
Published: February 2025

The invisible hand behind of economics cannot be seen and approved from the general understanding. When facing the global financial crisis, the economic behavior following subjective momentum has to be changed to avoid crash. The power of strategic game might potentially turn around the world heading to destruction. Therefore, we propose a model of strategy identification to analyze how the policy of Quantitative Easing helped USA and the emerging nations to get out the global financial crisis. The proposed model is constructed with formation of strategic game, definition of strategic moves, and identification of game moves. The application results show Quantitative Easing successfully turned around the global financial crisis.
Constructing an Efficient State Space Query System for the Voyage Data Recorder
Authors: Hsu William W.Y.  , Wu Yi-Wen  , You Min-Ruey  , Liao Cheng-Hsin  , Lu Cheng-Yu  , Wang Hao-Hsun
Published: February 2025

Voyage data recorders are devices kept on vessels to track their trajectories when overseas. It receives signals from global positioning satellites to compute its current location on Earth and records the current speed, course, and bearing within its internal memory. The information is downloaded and recorded each time the fishing vessel docks for fueling. Currently, over 10 thousand devices are installed and tracked, collecting over 3 billion GPS samples over 8 years period. This paper presents our approach to clean and reorganize the data, and design an efficient incremental updatable database for fast query on the state of vessels and the spacial locations of vessels. We have also adapted the WebGL technology for visualization of trajectories with more than 100 thousand points. The initialization of this work will provide a better platform for future fisheries management such as resource estimation, catch per unit effort analysis, environmental protections, operational efficiency, and activity surveillance.
Online State-of-Charge and State-of-Health Estimation of Lithium Battery Based on Equivalent Circuit Model
Authors: Kung Chung-Chun  , Chang Shuo-Chieh  , Chen Ti-Hung
Published: February 2025

This paper proposes a method for the estimation of the state-of-charge (SOC) and state-of-health (SOH) of lithium battery based on the equivalent circuit model (ECM). We apply the fuzzy c-regression model (FCRM) to express each of the parameters in the ECM. Based on these FCRMs and ECM, a state estimator is proposed to estimate SOC of the battery. A SOH model accompanied with the state estimator is established to estimate the SOH based on the charging data of lithium battery. Simulation results show that the proposed method is suitable and realizable for the lithium battery.
A Novel Approach to Implement Takagi-Sugeno Fuzzy Models
Authors: Tao C.W.  , Chang Chia-Wen  , Wang Po-Chun
Published: February 2025

This paper proposes a modified algorithm in Takagi-Sugeno (T-S) fuzzy modelling for a complex nonlinear system. First, the Gaussian kernel based fuzzy c-mean clustering method is presented to find a scalar offset of the linear function. Secondly, the fuzzy c-regression model (FCRM) and the weighted recursive least square (WRLS) algorithm are adopted to calculate the parameters of the linear model according to individual input variables. Finally, the proposed algorithm stops if the objective function is minimized, otherwise, returns to the first step. Two simulation examples are provided to demonstrate the effectiveness of the proposed T-S fuzzy modelling approach.
Development of a Virtual Lab for Practical eLearning in eHealth
Authors: Herzog Juliane  , Forjan Mathias  , Sauermann Stefan  , Mense Alexander  , Urbauer Philipp
Published: February 2025

In recent years an ongoing development in educational offers for professionals working in the field of eHealth has been observed. This education is increasingly offered in the form of eLearning courses. Furthermore, it can be seen that simulations are a valuable part to support the knowledge transfer. Based on the knowledge profiles defined for eHealth courses a virtual lab should be developed. For this purpose, a subset of skills and a use case is determined. After searching and evaluating appropriate simulating and testing tools six tools were chosen to implement the use case practically. Within an UML use case diagram the interaction between the tools and the user is represented. Initially tests have shown good results of the tools' feasibility. After an extensive testing phase the tools should be integrated in the eHealth eLearning courses.
Quality of Assistive Technologies in the Home Care for Elderly
Authors: Hauer Katharina
Published: February 2025

Due to demographic changes, the number of elderly people who are in need of care is increasing. Assistive technologies make it possible for many elderly people to remain home despite their health conditions, which many prefer. Quality is an essential element of nursing care, and the elderly are becoming increasingly aware of this and are beginning to make high demands. The aims of this paper, which is based on a master's thesis, were to identify quality criteria in the field of assistive technologies and to present indicators for measuring quality. An extensive literature research was conducted for the theoretical part, and the empirical part employed a qualitative survey. The results show that the elderly's contentment and quality of life are the decisive factors for quality. A catalogue of quality indicators was developed by merging the results from literature with those from the expert consultation. To conclude, further research in this context, based on the results of this paper, is needed, in order to support the increasing use of assistive technologies.
Supporting Prolonged COPD Monitoring Using an Application for Mobile Devices
Authors: Haller Andreas  , Schuerg Sebastian  , Schudt Florian  , Koczulla Andreas Rembert  , Mursina Ljudmila  , Gross Volker  , Sohrabi Keywan
Published: February 2025

COPD (chronic obstructive pulmonary disease) is the most frequent form of chronic respiratory disease. During the progress of this disease, phases of aggravation of pulmonary function (exacerbations) can occur, which reduce the quality of life. Clinical experience shows that single investigations are insufficient. Therefore a prolonged monitoring is required to recognize an exacerbation early. This home monitoring will involve a quick respiratory test and a related application for Android, iOS and Windows phones. This rapid test transmits the relevant pulmonary parameters, converted in an Extensible Markup Language file to the smartphone. The application will analyze the incoming data to evaluate the current health status of the patient. Additionally the data will be transferred to the virtual control point (server) and stored in a database. If critical values are detected, the server will send a notification to prior defined relatives and doctors. A connection to a Hospital Information System will be possible through an included Health Level 7 interface. This offers an improved site-independent patient care. The project is planned to be in development until 2016.
EMPOWER – Pathways for Supporting the Self-management of Diabetes Patients
Authors: Plößnig Manuela  , Kabak Yildiray  , Lamprinos Ilias  , Pabst Alexander  , Hildebrand Claudia  , Mantwill Sarah
Published: February 2025

Diabetes is a serious world-wide medical challenge and there is a recognised need for improved diabetes care outcomes. This paper describes results of the EMPOWER project, to foster the self-management of diabetes patients by integration of existing and new services offered to patients after having been diagnosed with diabetes. The Self-Management Pathway described in this paper helps patients in the specification of personalized activities based on medical recommendations and personal goals, as well as self-monitoring of the results. The whole process is supported by innovative ICT services that motivate patients to change their lifestyle and adhere to defined medication and activity plans. We describe the approach and present the findings of the validation phase in Germany and Turkey.
Developing an Institutional Repository of Digital Health Information Content
Authors: Kolokathi Aikaterini  , Mantas John
Published: February 2025

Over the past few years, the use of electronic sources for studies by students and teaching staff has been rapidly increased. The digital information gives the opportunity of personal and interactive information. Nevertheless, much of health information is unable to be identified from existing search tools. The aim of this paper is to propose a system which enables academic members of the Faculty of Nursing of the University of Athens to immediate access information that improves patient care and the daily nursing practice. First of all, in order to achieve this goal, an on-line research was conducted on Science Direct, Scopus, PubMed and Google Scholar. Afterwards, the appropriate digital library software package was selected. This work presents the institutional repository “Ariadne”. This repository is a new service which intends to establish new conditions to archiving of graduate and doctoral dissertations. The “Ariadne” repository is not just a tool for strengthening the educational process but also a tool for further progress of nursing science.
The Prevalence of Using Social Media among Healthcare Professionals in Saudi Arabia: A Pilot Study
Authors: Almaiman Sarah  , Bahkali Salwa  , Al Farhan Ali  , Bamuhair Samera  , Househ Mowafa  , Alsurimi Khaled
Published: February 2025

Keeping up-to-date with new health information is a necessity for healthcare professionals. Today, social media platforms such as Twitter, among others, are important sources for healthcare professionals. Within the Arab world, little is known about how healthcare professionals use social media to update their healthcare information. This study aims to estimate the prevalence of healthcare professionals, primarily physicians, in seeking online health information in Saudi Arabia. We conducted a web-based survey among Twitter participants between February 1 and March 10, 2015. The primary outcome measures were the self-reported rates of Twitter use, perceived effects, and the influence of Twitter information on clinical practice. Our results revealed that the prevalence rate of physician's seeking online health information was 79% (n=166); the majority of them (71.4%, n=150) reported that Twitter had a significant impact in increasing their medical knowledge and in improving their clinical practice. Over half of the survey participates reported the need for investment in establishing trustworthy and credible health Twitter accounts. The participants reported that their preference for social media health accounts that focus on women's health, non-communicable disease and psychotherapy (20%, 18.1% and 14.5% respectively). The findings showed clearly that seeking web-based medical information through social media is popular among physicians, in general, but especially among younger physicians in Saudi Arabia. The study findings indicate to the necessity for further research on designing and implementing a national social media based educational outreach program to provide evidence-based healthcare information and improve healthcare providers' knowledge and skills in Saudi Arabia.
An Introduction to Structural Equation Modeling
Authors: Hasman Arie
Published: February 2025

In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory level.
Exploitation of Medical Crisp Database for Fuzzy Diagnostic Decision Support Systems
Authors: Papaioannou Maria  , Schizas Christos N.
Published: February 2025

There are several types of Diagnostic Decision Support Systems (DDSS) but all move towards a common direction: provide assistance to the doctors/clinicians to make the right diagnosis for a specific patient, minimizing as much as possible the needed time for this. In doing so, some DDSS systems exploit existing crisp medical databases while others take an advantage of human knowledge and experience, by building fuzzy medical databases from scratch. It would be of interest though, as well as time saving, to combine these two together and examine how one can actually use an existing crisp medical dataset to transform it into a new fuzzy medical database with parameters being expressed and defined based on the clinicians' way of thinking. A methodology implementing this task is proposed in this paper accompanied by the results of its application on a real crisp medical database.
A Pilot Study to Improve Access to Eye Care Services for Patients in Rural India by Implementing Community Ophthalmology through Innovative Telehealth Technology
Authors: John Sheila  , Premila M.  , Javed Mohd  , G Vikas  , Wagholikar Amol
Published: February 2025

Objective: To inform about a very unique and first of its kind telehealth pilot study in India that has provided virtual telehealth consultation to eye care patients in low resource at remote villages.
Designing Technology for Assessments of CALD Patients
Authors: Freyne Jill  , Pocock Courtney  , Bradford Dana  , Harrap Karen  , Brinkman Sally
Published: February 2025

Interpreters are required to aid communication between clinicians and culturally and linguistically diverse (CALD) patients to ensure appropriate and timely care. Demand for interpreting services however, often exceeds supply. A mobile app to translate clinical assessment questions in 10 common languages using pictorial, written and voice-over prompts to assist patient assessments when interpreters are unavailable has been developed. This paper reports on the User Needs Analysis that informed the app. The analysis consisted of focus groups with allied health clinicians to understand pertinent aspects of initial allied health assessments and the communication needs to be addressed in the design of an app-based patient assessment tool. Outcomes show that of primary importance to clinicians was the ability to not only ask the patients questions, but to communicate information to increase understanding of, and ensure compliance with, treatments and interventions to promote patient function and comfort.
Mapping Health Outcome and Costs when Coordinating Local Information System Redesign
Authors: Walldius Åke  , Olve Nils-Göran  , Aminoff Hedvig
Published: February 2025

As costs for healthcare are rising in society, information systems are often seen as enablers of new cost-saving healthcare processes. But an on-going deployment of a wide range of new kinds of systems requires close attention to interoperability between new and legacy systems. Another challenge is to assure that the healthcare professions are given realistic opportunities to play an active part in designing the new ways of working that the new, integrated systems are designed to support. We argue that a feasible way to approach such a user participation in design of work processes and systems is to extend well known user-survey and strategy-mapping methods with the new value-based healthcare approach which invites health professionals to participate in strategic assessments of health outcome and costs along the care chain in which they work. We also argue that such a combination of practical research methods resonates well with Techno-Anthropology's foregrounding of ethical considerations to inform the interdisciplinary cross-fertilization of interactional competencies in health informatics research.
OntoMama: An Ontology Applied to Breast Cancer
Authors: Melo M.T.D.  , Gonçalves V.H.L.  , Costa H.D.R  , Braga D.S  , Gomide L.B  , Alves C.S  , Brasil L.M.
Published: February 2025

This article describes the process of building an ontology to assist medical students and professionals specialized in Oncology. The ontology allows the user to obtain knowledge more quickly and thus assist professionals in their decision-making.