bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Personal Health Record Technology for Shared Decision Making
Authors: Davis Selena  , Roudsari Abdul  , Courtney Karen L.
Published: February 2025

Engaging patients in the self-management decision-making provides opportunities for positive health outcomes. The process of shared decision-making (SDM) is touted as the pinnacle of patient-centred care, yet it has been difficult to implement in practice. Access to tools resulting from the integration of all health data and clinical evidence, and an ease of communications with care providers are needed to engage patients in self management decision-making. Personal health record (PHR) technology is a promising approach for overcoming such barriers. Yet there is a scarcity of studies on system design for SDM via PHR. This paper describes the design and implications of a system for SDM via PHR.
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Authors: Forssen Henrietta  , Patel Riyaz  , Fitzpatrick Natalie  , Hingorani Aroon  , Timmis Adam  , Hemingway Harry  , Denaxas Spiros
Published: February 2025

Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to fully account for interactions between metabolites, rely on a priori selected input features and thus might suffer from poorer accuracy. Supervised machine learning methods can potentially be used in order to fully exploit the dimensionality and richness of the data. In this paper, we systematically implement and evaluate a set of supervised learning methods (L1 regression, random forest classifier) and compare them to traditional regression-based approaches for disease prediction using metabolomic data.
Linked Data Applications Through Ontology Based Data Access in Clinical Research
Authors: Kock-Schoppenhauer Ann-Kristin  , Kamann Christian  , Ulrich Hannes  , Duhm-Harbeck Petra  , Ingenerf Josef
Published: February 2025

Clinical care and research data are widely dispersed in isolated systems based on heterogeneous data models. Biomedicine predominantly makes use of connected datasets based on the Semantic Web paradigm. Initiatives like Bio2RDF created Resource Description Framework (RDF) versions of Omics resources, enabling sophisticated Linked Data applications. In contrast, electronic healthcare records (EHR) data are generated and processed in diverse clinical subsystems within hospital information systems (HIS). Usually, each of them utilizes a relational database system with a different proprietary schema. Semantic integration and access to the data is hardly possible. This paper describes ways of using Ontology Based Data Access (OBDA) for bridging the semantic gap between existing raw data and user-oriented views supported by ontology-based queries. Based on mappings between entities of data schemas and ontologies data can be made available as materialized or virtualized RDF triples ready for querying and processing. Our experiments based on CentraXX for biobank and study management demonstrate the advantages of abstracting away from low level details and semantic mediation. Furthermore, it becomes clear that using a professional platform for Linked Data applications is recommended due to the inherent complexity, the inconvenience to confront end users with SPARQL, and scalability and performance issues.
Nurses' Perspectives on In-Home Monitoring of Elderlies's Motion Pattern
Authors: Klemets Joakim  , Määttälä Jukka  , Jansson Johan  , Hakala Ismo
Published: February 2025

In-home monitoring systems have been proposed to support aging in place and facilitate home care service. Through a qualitative approach the study explores nurses' existing challenges and perspectives of an in-home monitoring system. Results indicate that nurses base care decisions on multiple, and sometimes, unreliable information sources. However, access to information about elderlies' physical motion could support the care planning process by reducing ambiguity and raising attention. Hence, a simple and affordable system that largely relies on nurses to interpret the sensed data could bring additional value.
Using Electronic Health Records to Assess Depression and Cancer Comorbidities
Authors: Mayer Miguel A.  , Gutierrez-Sacristan Alba  , Leis Angela  , De La Peña Santiago  , Sanz Ferran  , Furlong Laura I.
Published: February 2025

Comorbid diseases are an important concern in oncology since they can affect the choice and effectiveness of treatment. What is particularly relevant is the fact that the diagnosis of depression in cancer patients has an important impact on the quality of life of these patients. Although there is no consensus about a specific relationship of depression with certain cancer types, some authors have proposed that depression constitutes a risk factor for cancer. The objective of this study is to identify the presence of comorbidities in a massive EHR system, between depression and the 10 most common cancers in women and men and to determine if there is a preferred temporal ordering in the co-occurrence of these diseases. All the cancers studied showed a significant co-occurrence with depression, more specifically, twice more frequent than what could be expected by chance. A preferred directionality was identified between some of the comorbid diseases, such as breast cancer followed by depression, and depression followed by either stomach cancer, colorectal cancer or lung cancer. Future work will address other potential factors that have an influence on the likelihood of suffering from depression in patients with cancer, such as drug therapies received, exposure to substance of abuse or other comorbidities.
Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction
Authors: Dziadek Juliusz  , Henriksson Aron  , Duneld Martin
Published: February 2025

The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling correction methods to Swedish medical text and evaluate their impact on SNOMED CT mapping; first in a controlled evaluation using medical literature text with induced errors, followed by a partial evaluation on clinical notes. It is shown that the best-performing method is context-sensitive, taking into account trigram frequencies and utilizing a corpus-based dictionary.
Automated Classification of Semi-Structured Pathology Reports into ICD-O Using SVM in Portuguese
Authors: Oleynik Michel  , Patrão Diogo F.C.  , Finger Marcelo
Published: February 2025

Pathology reports are a main source of information regarding cancer diagnosis and are commonly written following semi-structured templates that include tumour localisation and behaviour. In this work, we evaluated the efficiency of support vector machines (SVMs) to classify pathology reports written in Portuguese into the International Classification of Diseases for Oncology (ICD-O), a biaxial classification of cancer topography and morphology. A partnership program with the Brazilian hospital A.C. Camargo Cancer Center provided anonymised pathology reports and structured data from 94,980 patients used for training and validation. We employed SVMs with tf-idf weighting scheme in a bag-of-words approach and report F1 score of 0.82 for 18 sites and 0.73 for 49 morphology classes. With the largest dataset ever used in such a task, our work provides reliable estimates for the classification of pathology reports in Portuguese and agrees with a few similar studies published in the same kind of data in other languages.
Monitoring of Students' Interaction in Online Learning Settings by Structural Network Analysis and Indicators
Authors: Ammenwerth Elske  , Hackl Werner O.
Published: February 2025

Learning as a constructive process works best in interaction with other learners. Support of social interaction processes is a particular challenge within online learning settings due to the spatial and temporal distribution of participants. It should thus be carefully monitored. We present structural network analysis and related indicators to analyse and visualize interaction patterns of participants in online learning settings. We validate this approach in two online courses and show how the visualization helps to monitor interaction and to identify activity profiles of learners. Structural network analysis is a feasible approach for an analysis of the intensity and direction of interaction in online learning settings.
Towards Safe and Efficient Child Primary Care – Gaps in the Use of Unique Identifiers in Europe
Authors: Kühne Grit  , Rigby Michael J.  , Majeed Azeem  , Blair Mitch E.
Published: February 2025

In order to provide for best possible child health care, timely access to all relevant medical data is of vital importance. The aim of this study is to investigate the use of unique identifiers, a key instrument in this regard, in the countries of Europe. A survey was carried out in all 28 European Member States plus 2 European Economic Area countries in 2015, and refreshed in 2016. In 23 countries unique identifiers are used to link children's health records. Five countries indicated they currently do not link child health records, and two have no such plans. There is variety as regards the type of number and the issuing process.
Reasoning and Data Representation in a Health and Lifestyle Support System
Authors: Hanke Sten  , Kreiner Karl  , Kropf Johannes  , Scase Marc  , Gossy Christian
Published: February 2025

Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and this can be used as a method for practical intelligent systems. Case-based data reasoning is able to provide decision support for experts and clinicians in health systems as well as lifestyle systems. In this project we were focusing on developing a solution for healthy ageing considering daily activities, nutrition as well as cognitive activities. The data analysis of the reasoner followed state of the art guidelines from clinical practice. Guidelines provide a general framework to guide clinicians, and require consequent background knowledge to become operational, which is precisely the kind of information recorded in practice cases; cases complement guidelines very well and helps to interpret them. It is expected that the interest in case-based reasoning systems in the health.
Comparison of Body Weight Trend Algorithms for Prediction of Heart Failure Related Events in Home Care Setting
Authors: Eggerth Alphons  , Modre-Osprian Robert  , Hayn Dieter  , Kastner Peter  , Pölzl Gerhard  , Schreier Günter
Published: February 2025

Background: Automatic event detection is used in telemedicine based heart failure disease management programs supporting physicians and nurses in monitoring of patients' health data.
Two Years of tranSMART in a University Hospital for Translational Research and Education
Authors: Christoph Jan  , Knell Christian  , Naschberger Elisabeth  , Stürzl Michael  , Maier Christian  , Prokosch Hans-Ulrich  , Sedlmayr Martin
Published: February 2025

Background: For translational research, software platforms such as tranSMART with an integrated view of both clinical and omics data have gained more and more attention in the last years.
Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM
Authors: Hegselmann Stefan  , Gessner Sophia  , Neuhaus Philipp  , Henke Jörg  , Schmidt Carsten Oliver  , Dugas Martin
Published: February 2025

Background: Electronic collection and high quality analysis of medical data is expected to have a big potential to improve patient care and medical research. However, the integration of data from different stake holders is posing a crucial problem. The exchange and reuse of medical data models as well as annotations with unique semantic identifiers were proposed as a solution.
Architecture and User-Context Models of CoCare: A Context-Aware Mobile Recommender System for Health Promotion
Authors: Cerón-Rios Gineth  , López Diego M.  , Blobel Bernd
Published: February 2025

Recommender systems (RS) are useful tools for filtering and sorting items and information for users. There is a wide diversity of approaches that help creating personalized recommendations. Context-aware recommender systems (CARS) are a kind of RS which provide adaptation capabilities to the user's environment, e.g., by sensing data through wearable devices or other biomedical sensors. In healthcare and wellbeing, CARS can support health promotion and health education, considering that each individual requires tailored intervention programs. Our research aims at proposing a context-aware mobile recommender system for the promotion of healthy habits. The system is adapted to the user's needs, his/her health information, interests, time, location and lifestyles. In this paper, the CARS computational architecture and the user and context models of health promotion are presented, which were used to implement and test a prototype recommender system.
User Requirements Based Development of a Web Portal for Chronic Patients
Authors: Kopanitsa Georgy
Published: February 2025

In the current study, we tried to identify practices that help overcoming data entering and operational barriers, and involve patients and doctors in the development process to improve the acceptance of Web portals for chronic patients. This paper presents a follow up project implementing a Web portal for chronic patients considering previously studied barriers and opportunities. The following methods were applied to facilitate the acceptance of the portal: 1) a joint use case definition and discussion session before starting the development; 2) involvement of the users in prototyping the portal; 3) training of doctors and patients together before the implementation. During the first week of the portal's operation we have measured the number of data transactions and the number of active users to compare it with previous experience. The first weeks of operating the portal, we could observe an active contribution of doctors and patients, who submitted vital signs data and recommendations to the portal.
Real-Time Constant Monitoring of Fall Risk Index by Means of Fully-Wireless Insoles
Authors: Arndt Holger  , Burkard Stefan  , Talavera Guillermo  , Garcia Joan  , Castells David  , Codina Marc  , Hausdorff Jeffrey  , Mirelman Anat  , Harte Richard  , Casey Monica  , Glynn Liam  , Di Rosa Mirko  , Rossi Lorena  , Stara Vera  , Rösevall John  , Rusu Cristina  , Carenas Carlos  , Breuil Fanny  , Reixach Elisenda  , Carrabina Jordi
Published: February 2025

Constant monitoring of gait in real life conditions is considered the best way to assess Fall Risk Index (FRI) since most falls happen out of the ideal conditions in which clinicians are currently analyzing the patient's behavior. This paper presents the WIISEL platform and results obtained through the use of the first full-wireless insole devices that can measure almost all gait related data directly on the feet (not in the upper part of the body as most existing wearable solutions). The platform consists of a complete tool-chain: insoles, smartphone & app, server & analysis tool, FRI estimation and user access. Results are obtained by combining parameters in a personalized way to build individual fall risk index assessed by experts with the help of data analytics. New FRI has been compared with standards that validate the quality of its prediction in a statistically significant way. That qualitatively relevant information is being provided to the platform users, being either end-users/patients, relatives or caregivers and the related clinicians to ideally assess about their long term evolution.
Personal Portable Devices in the Light of the Internet of Things
Authors: Lhotska Lenka  , Stechova Katerina  , Pharow Peter
Published: February 2025

Personal portable devices have already gained their position in health services. However, mobile technologies and Internet of Things open new areas of applications. The possibility to collect many data types continuously over long time intervals brings various questions that must be answered in the design process. We also discuss briefly the role of the user. We illustrate the complexity of the field by a case study of diabetes management.
Information System of Personalized Patient's Adherence Level Determination
Authors: Taranik Maksim  , Kopanitsa Georgy
Published: February 2025

The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated approach based on the comparison of direct patient's data with personalized treatment plan using fuzzy logic and standard ISO 13606. On the current step, we process only manually submitted data. For the next step we are going to introduce sensor devices for the purposes of personalized patients' adherence determination. The results can be useful for medical organizations with long-term patients.
Aerodynamic and Control Analysis for an Unmanned Aircraft
Authors: García Sánchez Geovani E.  , Nevárez Ampáran Jorge  , Fernández Beltrán Gustavo  , Chávez Serrano Xitlali  , Olivares Ortega Kasandra
Published: February 2025

In the aerodynamic design process students of the University of Juarez City perform studies of Aerodynamics, Stability and Control to approach an optimal performance in flight. Data in this research show methodologies and tools applied to accomplish the final design.
Substitution of Assisted Living Services by Assistive Technology – Experts Opinions and Technical Feasibility
Authors: Schwartze Jonas  , Prekazi Arianit  , Schrom Harald  , Marschollek Michael
Published: February 2025

Ambient assisted living (AAL) may support ageing in place but is primarily driven by technology. The aim of this work is, to identifying reasons to move into assisted living institutions, their range of service and possible substitutability. We did semi-structured interviews with five experts from assisted living institutions and used results to design and implement assistive technologies in an AAL environment using BASIS, a cross domain bus system for smart buildings. Reasons for moving to assisted living institutions are expected benefits for chronic health problems, safety, social isolation and carefree living. We implemented six application systems for inactivity monitoring, stove shutdown, air quality monitoring, medication and appointment reminders, detection of unwanted situations before leaving and optical ringing of the doorbell. Substitution of selected assisted living services is feasible and has potential to delay necessity to move into assisted living institution if complement social services are installed.
Using Structured and Unstructured Data to Refine Estimates of Military Sexual Trauma Status Among US Military Veterans
Authors: Gundlapalli Adi V.  , Brignone Emily  , Divita Guy  , Jones Audrey L.  , Redd Andrew  , Suo Ying  , Pettey Warren B.P.  , Mohanty April  , Gawron Lori  , Blais Rebecca  , Samore Matthew H.  , Fargo Jamison D.
Published: February 2025

Sexual trauma survivors are reluctant to disclose such a history due to stigma. This is likely the case when estimating the prevalence of sexual trauma experienced in the military. The Veterans Health Administration has a program by which all former US military service members (Veterans) are screened for military sexual trauma (MST) using a questionnaire. Administrative data on MST screens and a change of status from an initial negative answer to positive and natural language processing (NLP) on electronic medical notes to extract concepts related to MST were used to refine initial estimates of MST among a random sample of 20,000 Veterans. The initial MST positive screen of 15.4% among women was revised upward to 21.8% using administrative data and further to 24.5% by adding NLP results. The overall estimate of MST status in women and men in this sample was revised from 8.1% to 13.1% using both data elements.
Comparison of Grouping Methods for Template Extraction from VA Medical Record Text
Authors: Redd Andrew M.  , Gundlapalli Adi V.  , Divita Guy  , Tran Le-Thuy  , Pettey Warren B.P.  , Samore Matthew H.
Published: February 2025

We investigate options for grouping templates for the purpose of template identification and extraction from electronic medical records. We sampled a corpus of 1000 documents originating from Veterans Health Administration (VA) electronic medical record. We grouped documents through hashing and binning tokens (Hashed) as well as by the top 5% of tokens identified as important through the term frequency inverse document frequency metric (TF-IDF). We then compared the approaches on the number of groups with 3 or more and the resulting longest common subsequences (LCSs) common to all documents in the group. We found that the Hashed method had a higher success rate for finding LCSs, and longer LCSs than the TF-IDF method, however the TF-IDF approach found more groups than the Hashed and subsequently more long sequences, however the average length of LCSs were lower. In conclusion, each algorithm appears to have areas where it appears to be superior.
Accounting Information Systems in Healthcare: A Review of the Literature
Authors: Hammour Hadal  , Househ Mowafa  , Razzak Hira Abdul
Published: February 2025

As information technology progresses in Saudi Arabia, the manual accounting systems have become graduallyinadequate for decision needs. Subsequently, private and public healthcare divisions in Saudi Arabia perceive Computerized accounting information system (CAIS) as a vehicle to safeguard efficient and effective flow of information during the analysis, processes, and recording of financial data. Efficient and effective flow of information improvesthe decision making of staff, thereby improving the capability of health care sectors to reduce cost of the medical services.In this paper, we define computerized accounting systems from the point of view of health informatics. Also, the challenges and benefits of supporting CAIS applications in hospitals of Saudi Arabia. With these elements, we conclude that CAIS in Saudi Arabia can serve as a valuable tool for evaluating and controlling the cost of medical services in healthcare sectors. Supplementary education on the significance of having systems of computerized accounting within hospitals for nurses, doctors, and accountants with other health care staff is warranted in future.
Critical Issues in Evaluating National-Level Health Data Warehouses in LMICs: Kenya Case Study
Authors: Gesicho Milka B.  , Babic Ankica  , Were Martin C.
Published: February 2025

Low-Middle-Income-Countries (LMICs) are beginning to adopt national health data warehousing (NHDWs) for making strategic decisions and for improving health outcomes. Given the numerous challenges likely to be faced in establishment of NHDWs by LMICs, it is prudent that evaluations are done in relation to the data warehouses (DWs), in order to identify and mitigate critical issues that arise. When critic issues are not identified, DWs are prone to suboptimal implementation with compromised outcomes. Despite the fact that several publications exist on evaluating DWs, evaluations specific to health data warehouses are scanty, with almost none evaluating NHDWs more so in LMICs. This paper uses a systematic approach guided by an evaluation framework to identify critical issues to be considered in evaluating Kenya's NHDW.
Assessing Dental Information Requirements of Electronic Health Records of Zahedan Dental School
Authors: Sadoughi Farahnaz  , Sarsarshahi Aida  , Erfannia Leila  , Yaghoubi Elnaz
Published: February 2025

Due to the various beneficiaries of Electronic Health Records (EHR), the information requirements of each group should be taken into account while designing the EHR. In line with the priority of implementing electronic health records in the province of Sistan and Baluchestanin Iran, this study aims to assess the dental information requirements of EHR at Zahedan Dental School. This cross-sectional study was performed in 2014. The study population comprised 6565 faculty members, residents of dental school and staff in Health Information Management of Zahedan Hospitals. The data collection instrument was a questionnaire which comprised six sets of data and 67 informative elements that were prioritized based on the average of scores. Data were analyzed by using descriptive statistics, SPSS. All the elements, except two ones including marital and employment status which were considered as the second priority with average scores below 7, other proposed elements such as clinical findings, final diagnosis, oral health status, drug sensitivity, main complaint, patient's full name, required X-rays, medical record number, and the discharge recommendations of an average above 7 were regarded as the first priority of the respondents. In conclusion, it is recommended that these findings should be considered in the design of electronic health records system at Zahedan Dental School.
CFD Modelling of Local Hemodynamics in Intracranial Aneurysms Harboring Arterial Branches
Authors: Krylov Vladimir  , Grigoryeva Elena  , Dolotova Daria  , Blagosklonova Evgenia  , Gavrilov Andrey
Published: February 2025

The main cause of non-traumatic subarachnoid haemorrhage is an intracranial aneurysm's rupture. The choice of treatment approach is exceptionally difficult in cases of aneurysms with additional branches on the aneurysm's dome or neck. The impact of the arterial branches on local hemodynamics is still unclear and controversial question. At the same time, up-to-date methods of image processing and mathematical modeling provide a way to investigate the hemodynamic environment of aneurysms. The paper discusses hemodynamic aspects of aneurysms harboring arterial branch through the use of patient-specific 3D models and computational fluid dynamics (CFD) methods. The analysis showed that the presence of the arterial branches has a great influence on flow streamlines and wall shear stress, particularly for side wall aneurysm.
Usability in Mobile Electronic Data Collection Tools: Form Developers' Views
Authors: Mugisha Alice  , Babic Ankica  , Wakholi Peter  , Nankabirwa Victoria  , Tylleskar Thorkild
Published: February 2025

Mobile Electronic Data Collection Tools (MEDCTs) are created by form developers to collect data. Usability being one of the top quality attributes is of great concern to developers of any interactive applications. However, little is known about the form developers' understanding of usability, how they measure usability and their limitations in designing for usability. We conducted an empirical study where we aimed at getting the developers' views on usability by interviewing 8 form developers. These are creators of forms used for data collection. We found that developers knew about usability, but it was not their main focus during form development. Challenges included constraining deadlines, software limitations and the insufficient communication with the field users to establish the usability needs. Furthermore, the methods used to evaluate the usability of created forms varied amongst developers and these included in-house evaluations and feedback from piloting sessions with end users.
The Hazards of Data Mining in Healthcare
Authors: Househ Mowafa  , Aldosari Bakheet
Published: February 2025

From the mid-1990s, data mining methods have been used to explore and find patterns and relationships in healthcare data. During the 1990s and early 2000's, data mining was a topic of great interest to healthcare researchers, as data mining showed some promise in the use of its predictive techniques to help model the healthcare system and improve the delivery of healthcare services. However, it was soon discovered that mining healthcare data had many challenges relating to the veracity of healthcare data and limitations around predictive modelling leading to failures of data mining projects. As the Big Data movement has gained momentum over the past few years, there has been a reemergence of interest in the use of data mining techniques and methods to analyze healthcare generated Big Data. Much has been written on the positive impacts of data mining on healthcare practice relating to issues of best practice, fraud detection, chronic disease management, and general healthcare decision making. Little has been written about the limitations and challenges of data mining use in healthcare. In this review paper, we explore some of the limitations and challenges in the use of data mining techniques in healthcare. Our results show that the limitations of data mining in healthcare include reliability of medical data, data sharing between healthcare organizations, inappropriate modelling leading to inaccurate predictions. We conclude that there are many pitfalls in the use of data mining in healthcare and more work is needed to show evidence of its utility in facilitating healthcare decision-making for healthcare providers, managers, and policy makers and more evidence is needed on data mining's overall impact on healthcare services and patient care.
A Systematic Literature Review on Evaluation of Digital Tools for Authoring Evidence-Based Clinical Guidelines
Authors: Khodambashi Soudabeh  , Nytrø Øystein
Published: February 2025

To facilitate the clinical guideline (GL) development process, different groups of researchers have proposed tools that enable computer-supported tools for authoring and publishing GLs. In a previous study we interviewed GL authors in different Norwegian institutions and identified tool shortcomings. In this follow-up study our goal is to explore to what extent GL authoring tools have been evaluated by researchers, guideline organisations, or GL authors. This article presents results from a systematic literature review of evaluation (including usability) of GL authoring tools. A controlled database search and backward snow-balling were used to identify relevant articles. From the 12692 abstracts found, 188 papers were fully reviewed and 26 papers were identified as relevant. The GRADEPro tool has attracted some evaluation, however popular tools and platforms such as DECIDE, Doctor Evidence, JBI-SUMARI, G-I-N library have not been subject to specific evaluation from an authoring perspective. Therefore, we found that little attention was paid to the evaluation of the tools in general. We could not find any evaluation relevant to how tools integrate and support the complex GL development workflow. The results of this paper are highly relevant to GL authors, tool developers and GL publishing organisations in order to improve and control the GL development and maintenance process.
Preparing E-Health Ready Graduates: A Qualitative Focus Group Study
Authors: McGregor Deborah  , Keep Melanie  , Brunner Melissa  , Janssen Anna  , Quinn Deleana  , Avery Jennifer  , Togher Leanne  , Shaw Tim
Published: February 2025

Background. Well documented demand for an e-health ready workforce is placing increasing pressure on universities to deliver essential e-health education.
Study on Passenger Flow Analysis and Prediction Method of the Public Transport Operation Passenger Line of the Adjacent City
Authors: Zhou Yiming  , Pang Qingge
Published: February 2025

With the rapid development of regional integration, the adjacent city mobility is becoming increasingly active, adjacent city masses have new requirements to set the public transport operation passenger line of the adjacent city. To grasp the passenger transport demand of the passenger transportation route in the adjacent city is an important prerequisite for the study of the adjacent city passenger transportation. Based on the analysis of passenger flow characteristics and influencing factors, the paper analyses the models and methods for forecasting passenger demand, according to the characteristics of passenger flow, a method to predict the trend of passenger flow and passenger flow in the public transport operation passenger line of the adjacent city is determined. It has important reference value for the construction of the adjacent city transport network, transport capacity and transportation policy.
An Improved Quantum Evolutionary Algorithm for High Dimension Knapsack Problem
Authors: Hao Li  , Lei Ma  , Na Qin
Published: February 2025

Knapsack problem is a typical combinatorial optimization problem, which has attracted wide attention because of its simple description, difficult solution and wide application background. For the knapsack problem, we proposed an improved quantum evolutionary algorithm. In this algorithm, the qubits are initialized according to the value densities of their corresponding items, the angle of Q-gate is determinated through direct comparison between the quantum chromosome and the optimal solution, random crossover method is taken to share information among chromosomes, and Hϵ gate is used to prevent from premature convergence. Finally, experiment demonstrates the effectiveness of the algorithm.
An Improved Map-Matching Method Based on Hidden Markov Model
Authors: Yang Linjian  , Zhao Xiangmo  , Zhang Wei  , Meng Fanlin  , Cheng Xiaodong  , An Yisheng
Published: February 2025

Map-matching is the process to match a sequence of real world coordinates into a digital map, so as to identify the correct segment on which a vehicle is traveling and to determine the vehicle location on the segment. Map matching is one of the key components to model and analyze floating car data, and provide ITS services such as traffic condition analysis and navigation. Complex environment, inadequate attribute information, low sampling frequency, and location deviation exert great influence on the matching performance. This paper presents an improved map-matching algorithm based on Hidden-Markov model. A distance based weighted-average method is applied to improve the quality of the instantaneous GPS data, and a preprocessing and caching method for the shortest paths is used to accelerate the calculation of state transition probability. Comparative analyses show that more than 90% of positions are matched, and computation time is significantly improved.
Fault Diagnosis of Mine Main Fan Based on Improved Particle Swarm Wavelet Neural Network
Authors: Yang Yong  , Yuan Xiaodan  , Cui Chenchen
Published: February 2025

In this paper, due to no clear match relationship between the fault symptom and fault type of the main fan in coal mine, an improved particle swarm wavelet neural network model is used to diagnose the fault of the main fan in coal mine. Firstly, the vibration signal characteristics of 5 kinds of common faults of ventilators are introduced, and the feature vectors of faults are extracted by multi-scale wavelet transform. Then wavelet neural network is used for fault diagnosis, and the selection of initial parameters of neural network is optimized by the improved particle swarm optimization algorithm. The training speed of wavelet neural network is increased and the training precision is improved to get better fault diagnosis results by adding weight factor, steering operator and random disturbance. The simulation results show that the improved particle swarm wavelet neural network model has better stability, and the accuracy is improved by 2% by comparing with the traditional wavelet neural network. This method can be better applied to the diagnosis of ventilator.
The State of the Science of Health Literacy Measurement
Authors: Nguyen Tam H.  , Paasche-Orlow Michael K.  , McCormack Lauren A.
Published: February 2025

Advancing health literacy (HL) research requires high-quality HL measures. This chapter provides an overview of the state of the science of HL measurement: where the field started, currently is, and should be going. It is divided into eight key sections looking at (1) the history of HL measurement, (2) the relationship between HL definitions and measurement, (3) the HL conceptual domains most and least frequently measured, (4) the methods used to validate HL measures, (5) the characteristics of the participants in the measurement validation studies, (6) the practical considerations related to administering HL measures, (7) the advantages and disadvantages of using objective versus subjective HL measures, and (8) future directions for HL measurement.
Global Health Systems and Policy Development: Implications for Health Literacy Research, Theory and Practice
Authors: Rowlands Gillian  , Dodson Sarity  , Leung Angela  , Levin-Zamir Diane
Published: February 2025

Accessible and responsive health systems are critical to population health and human development. While progress has been made toward global health and development targets, significant inequities remain within and between countries. Expanding health inequities suggest a widespread and systemic neglect of vulnerable citizens, and a failure to enshrine within policies a responsibility to tailor care to the variable capabilities of citizens. Implementation of health and social policies that drive the design of accessible health systems, services, products and infrastructure represents the next frontier for health reform.
Qualitative Research for Patient Safety Using ICTs: Methodological Considerations in the Technological Age
Authors: Yee Kwang Chien  , Wong Ming Chao  , Turner Paul
Published: February 2025

Considerable effort and resources have been dedicated to improving the quality and safety of patient care through health information systems, but there is still significant scope for improvement. One contributing factor to the lack of progress in patient safety improvement especially where technology has been deployed relates to an over-reliance on purely objective, quantitative, positivist research paradigms as the basis for generating and validating evidence of improvement. This paper argues the need for greater recognition and accommodation of evidence of improvement generated through more subjective, qualitative and pragmatic research paradigms to aid patient safety especially where technology is deployed. This paper discusses how acknowledging the role and value of more subjective ontologies and pragmatist epistemologies can support improvement science research. This paper illustrates some challenges and benefits from adopting qualitative research methods in patient safety improvement projects, particularly focusing challenges in the technological era. While adopting methods that can more readily capture, analyse and interpret direct user experiences, attitudes, insights and behaviours in their contextual settings, patient safety can be enhanced ‘on the ground’ and errors reduced and/or mitigated, challenges of using these methods with the younger “technologically-centred” healthcare professionals and patients needs to recognised.
Higher Education Beyond Faculties: Interdisciplinary Education in Care and Technology
Authors: Sponselee Anne-mie A.G.  , Van Hoof Joost
Published: February 2025

A Centre of Healthcare and Technology of a Dutch University of Applied Sciences, is presented – and illustrated by project examples – to show how the transitions in the sectors of health care and technology can result in interdisciplinary education in care and technology by means of higher education beyond faculties.
Simulation in Medical School Education
Authors: Pombo Nuno  , Garcia Nuno  , Castelo-Branco Miguel
Published: February 2025

The Universidade da Beira Interior (UBI), Covilhã, Portugal in the medical degree course uses simulation in an integrated and comprehensive program as a pedagogical tool.
Gaze-Based Assistive Technology for a Toddler with Tetraplegia and Without Speech
Authors: Hemmingsson Helena  , Borgestig Maria
Published: February 2025

This is a case study exploring gaze-based AT as early intervention, for a ten-month-old non-verbal child with severe physical impairments. Data was collected repeatedly over time through questionnaires, videos clips, and field observations until the child was three years old.
Validation of European Portuguese Version of the Kwazo Instrument
Authors: Batalha Diogo  , Alvarelhão Joaquim  , Cerqueira Margarida  , Rocha Nelson Pacheco
Published: February 2025

Kwazo instrument was designed to assess the customer's satisfaction with prescription and attribution services of assistive technology. This paper presents the cross-cultural translation and validation of the European Portuguese version of the Kwazo, whose psychometric proprieties were assessed by customers of rehabilitation facilities of North and Centre of Portugal.
Effectiveness of Service Dogs for Veterans with PTSD: Preliminary Outcomes
Authors: Vincent Claude  , Belleville Geneviève  , Gagnon Dany H.  , Dumont Frédéric  , Auger Edouard  , Lavoie Vicky  , Besemann Markus  , Champagne Noël  , Lessart Geneviève
Published: February 2025

Limited scientific evidence on the effectiveness of psychiatric service dogs used by Veterans with post-traumatic stress disorder (PTSD) is available. This study investigated their short-term effectiveness among 15 Canadian veterans who received a first psychiatric service dog. Preliminary results suggest potential beneficial effects at 3 months on the psychiatric symptoms.
The Role of Haptics in User Input for People with Motor and Cognitive Impairments
Authors: Augstein Mirjam  , Neumayr Thomas  , Burger Thomas
Published: February 2025

Most input devices, also traditional ones like keyboard and mouse involve at least a certain amount of haptic experience. For instance, they require direct physical contact between user and device and provide direct haptic feedback (e.g., through the physical resistance of a key). However, in the past years, also touchless input devices and techniques gained broader attention as they e.g., allow for a restriction of physical boundaries that limit the possible range of user input activities. This paper discusses the role of haptics in user input with a particular focus on the needs of people with impairments and presents the results of a study comparing three input devices, each involving a different amount of haptic experience.
Exploring the Use of Technology for Active Aging and Thriving
Authors: Øderud Tone  , Østensen Elisabeth  , Gjevjon Edith Roth  , Moen Anne
Published: February 2025

The study explores how older adults with limited digital experience become users of tablet computers (iPad) with Internet access, and how the tablet computers become part of their daily life facilitating active aging and thriving. Volunteer adolescents were mobilised to teach and follow up the participants regularly.
Using Surface Table Computers to Promote the Well-Being of People with Dementia
Authors: Bejan Alexander  , Murko Patrizia  , Müller Nadine  , König Peter  , Kunze Christophe
Published: February 2025

As the demographic change progresses, dementia is going to become a prevalent condition in many countries. In order to keep the Quality of Life (QoL) of People with Dementia (PwD) on a steady level, Assistive Technologies (AT) implemented on table-sized Surface Computers (SC) that promote playful and/or reminiscence-triggering activities turn out to be valuable tools for dementia care. This article gives an overview over two similar multimedia-based AT systems implemented on Microsoft PixelSense SCs and field-tested in dementia care institutions. The observations indicate that both systems can trigger positive emotions and activities as well as memories.
Using Machine Learning to Match Assistive Technology to People with Disabilities
Authors: Rafi Abe
Published: February 2025

This paper describes the initial results of work to create a recommender system to match technology products to people with I/DD by applying machine learning to a large volume of data about: people with I/DD; the technology products they use; and the outcomes they aim to achieve with technology.
Evaluation of Dynamic Arm Supports in Real Life Environments
Authors: van der Heide L.A.  , Roentgen U.  , de Witte L.
Published: February 2025

Dynamic arm supports facilitate the performance of activities of daily living (ADL) in people with upper extremity limitations. For which ADL, and how devices are used in daily life differs between users, imposing a difficulty to the assessment of outcomes. Therefore this study reports on the instruments used in earlier studies. Several instruments in the domains of body functions and activities and participation were identified. Instruments used include patient reported outcome measures, questionnaires, interviews, and arm and hand function tests.
Embracing Technological Development and Salutogenic Health Promotion in the Provision of Assistive Technologies
Authors: Mulholland Kyle  , Sirkka Andrew
Published: February 2025

The growing incidence of Noncommunicable Diseases has increased focus on the promotion of physical activity within the therapeutic environment. Research demonstrates a shift in mentality away from the pathogenic orientation of health promotion, resulting in the formation of salutogenic health promotion concepts and assistive technologies that actively promote health.
One Dimensional Input Device of Electric Wheelchair for Persons with Severe Duchenne Muscular Dystrophy
Authors: Xi Lele  , Yamamoto Yuki  , Shino Motoki
Published: February 2025

Persons with severe Duchenne Muscular Dystrophy (DMD) usually have difficult in operating electric wheelchairs (EW) using standard input device due to the lack of muscular power and the deformation of their hands. This paper proposed a novel one dimensional two degree of freedom (1D2F) input device based on the quantitative evaluation of hand function which consists of fingertip force and active range of motion. The validity and the operating features of this device are demonstrated by experiments.
Digital Skills Development and ICT in Inclusive Education: Experiences from Cyprus Schools
Authors: Mavrou Katerina  , Loizou-Raouna Maria
Published: February 2025

This qualitative research has been a pilot implementation of the ENTELS self-assessment framework for schools on digital skills development and Information and Communication Technologies (ICT) in inclusive education, in Cyprus. Results suggest that participant schools overall identified themselves as “getting started” to “some progress” in all areas with the highest evaluation in the one corresponding to “school commitment in the integration of ICT skills of all students, including those with disabilities”. The planned and implemented actions which followed have taken into consideration the rating of each school and the theoretical background, aimed at reinforcing the participation of the diverse students and students with disabilities and other educational needs. Final analysis of the actions' effectiveness is planned whereas future tool implementation could concentrate on how to overcome barriers and concerns related to ICT integration for promoting inclusive education.
Toward Emotionally Accessible Massive Open Online Courses (MOOCs)
Authors: Hillaire Garron  , Iniesto Francisco  , Rienties Bart
Published: February 2025

This paper outlines an approach to evaluating the emotional content of three Massive Open Online Courses (MOOCs) using the affective computing approach of prosody detection on two different text-to-speech voices in conjunction with human raters judging the emotional content of course text. The intent of this work is to establish the potential variation on the emotional delivery of MOOC material through synthetic voice.
The WebACS – An Accessible Graphical Editor
Authors: Parker Stefan  , Nussbaum Gerhard  , Pölzer Stephan
Published: February 2025

This paper is about the solution to accessibility problems met when implementing a graphical editor, a major challenge being the comprehension of the relationships between graphical components, which needs to be guaranteed for blind and vision impaired users. In the concrete case the HTML5 canvas and Javascript were used. Accessibility was reached by implementing a list view of elements, which also enhances the usability of the editor.