bluuebunny/crossref_metadata_2025 huggingface dataset:
Diabetes mHealth Apps: Designing for Greater Uptake
Authors: Brahmbhatt Ronak  , Niakan Shadi  , Saha Nishita  , Tewari Anukriti  , Pirani Ashfiya  , Keshavjee Natasha  , Mugambi Dora  , Alavi Nasrin  , Keshavjee Karim
Published: February 2025

mHealth apps are not being used. Over 45,000 mhealth apps are languishing in mobile app stores. We evaluated over 200 diabetes mobile apps found in the Apple and Google app stores using a framework that we recently published. None of the apps met all 15 criteria identified by our framework. The largest number of apps fell into the category of Type 1 diabetes blood sugar and medication trackers. Other types of apps included educational apps such as recipe apps, guideline dissemination apps, simple diabetes education apps, etc. There is a need for more Type 2 apps and for all types of apps that are better integrated into EMRs for more holistic care that can be prescribed by clinicians and monitored and supported by the health care team.
Evaluation of the Terminology Coverage in the French Corpus LiSSa
Authors: Cabot Chloé  , Soualmia Lina F.  , Grosjean Julien  , Griffon Nicolas  , Darmoni Stéfan J.
Published: February 2025

Extracting concepts from medical texts is a key to support many advanced applications in medical information retrieval. Entity recognition in French texts is moreover challenged by the availability of many resources originally developed for English texts. This paper proposes an evaluation of the terminology coverage in a corpus of 50,000 French articles extracted from the bibliographic database LiSSa. This corpus was automatically indexed with 32 health terminologies, published in French or translated. Then, the terminologies providing the best coverage of these documents were determined. The results show that major resources such as the NCI and SNOMED CT thesauri achieve the largest annotation of the corpus while specific French resources prove to be valuable assets.
Introducing a Method for Transformation of Paper-Based Research Data into Concept-Based Representation with openEHR
Authors: Saalfeld Birgit  , Tute Erik  , Wolf Klaus-Hendrik  , Marschollek Michael
Published: February 2025

Combining research data and clinical routine data is a chance for medical research. We present our method for the transformation of paper-based research data into a concept-based representation. With this representation the study data from research projects can be combined with data from clinical tools with less integration effort. We applied and verified our method using data from a current research study. In this paper we also show our main challenges and lessons learned. Clinical assessment data and study diaries from a long term study (n=24, 3 months observation time each, 17 different clinical assessments) stored on paper were used as the data set. An openEHR-based electronical health record platform was adapted for acquisition and representation of the research data. To avoid transcription errors, the data was entered twice by different student assistants. A third compared and corrected both data sets. Content models (17 archetypes and five templates from openEHR concept) based on clinical assessments were created manually. Web forms for data entry were created automatically on the basis of this concept-based content models. Additionally, form functionalities to support data entry and comparison were implemented. In total, 829 compositions were entered by the student assistants. With our developed method, we are able to represent the study data in a clinical concept-based platform, which means less integration effort for access and processing of research and clinical data. Some minor difficulties occurred during the process. All in all, adapting routine tools, like the EHR platform, seems to be convenient to deal with research data.
The ‘PEARL’ Data Warehouse: Initial Challenges Faced with Semantic and Syntactic Interoperability
Authors: Mahmoud Samhar  , Boyd Andy  , Curcin Vasa  , Bache Richard  , Ali Asad  , Miles Simon  , Taweel Adel  , Delaney Brendan  , Macleod John
Published: February 2025

Data about patients are available from diverse sources, including those routinely collected as individuals interact with service providers, and those provided directly by individuals through surveys. Linking these data can lead to a more complete picture about the individual, to inform either care decision making or research investigations. However, post-linkage, differences in data recording systems and formats present barriers to achieving these aims. This paper describes an approach to combine linked GP records with study observations, and reports initial challenges related to semantic and syntactic interoperability issues.
Developing Healthcare Data Analytics APPs with Open Data Science Tools
Authors: Hao Bibo  , Sun Wen  , Yu Yiqin  , Xie Guotong
Published: February 2025

Recent advances in big data analytics provide more flexible, efficient, and open tools for researchers to gain insight from healthcare data. Whilst many tools require researchers to develop programs with programming languages like Python, R and so on, which is not a skill set grasped by many researchers in the healthcare data analytics area. To make data science more approachable, we explored existing tools and developed a practice that can help data scientists convert existing analytics pipelines to user-friendly analytics APPs with rich interactions and features of real-time analysis. With this practice, data scientists can develop customized analytics pipelines as APPs in Jupyter Notebook and disseminate them to other researchers easily, and researchers can benefit from the shared notebook to perform analysis tasks or reproduce research results much more easily.
Automated Diagnosis Coding with Combined Text Representations
Authors: Berndorfer Stefan  , Henriksson Aron
Published: February 2025

Automated diagnosis coding can be provided efficiently by learning predictive models from historical data; however, discriminating between thousands of codes while allowing a variable number of codes to be assigned is extremely difficult. Here, we explore various text representations and classification models for assigning ICD-9 codes to discharge summaries in MIMIC-III. It is shown that the relative effectiveness of the investigated representations depends on the frequency of the diagnosis code under consideration and that the best performance is obtained by combining models built using different representations.
Prevalence Estimation of Protected Health Information in Swedish Clinical Text
Authors: Henriksson Aron  , Kvist Maria  , Dalianis Hercules
Published: February 2025

Obscuring protected health information (PHI) in the clinical text of health records facilitates the secondary use of healthcare data in a privacy-preserving manner. Although automatic de-identification of clinical text using machine learning holds much promise, little is known about the relative prevalence of PHI in different types of clinical text and whether there is a need for domain adaptation when learning predictive models from one particular domain and applying it to another. In this study, we address these questions by training a predictive model and using it to estimate the prevalence of PHI in clinical text written (1) in different clinical specialties, (2) in different types of notes (i.e., under different headings), and (3) by persons in different professional roles. It is demonstrated that the overall PHI density is 1.57%; however, substantial differences exist across domains.
HTP-NLP: A New NLP System for High Throughput Phenotyping
Authors: Schlegel Daniel R.  , Crowner Chris  , Lehoullier Frank  , Elkin Peter L.
Published: February 2025

Secondary use of clinical data for research requires a method to quickly process the data so that researchers can quickly extract cohorts. We present two advances in the High Throughput Phenotyping NLP system which support the aim of truly high throughput processing of clinical data, inspired by a characterization of the linguistic properties of such data. Semantic indexing to store and generalize partially-processed results and the use of compositional expressions for ungrammatical text are discussed, along with a set of initial timing results for the system.
Monitoring Activities Related to Medication Adherence in Ambient Assisted Living Environments
Authors: Roy Patrice C.  , Abidi Samina Raza  , Abidi Syed Sibte Raza
Published: February 2025

A recent trend in healthcare is to motivate patients to self-manage their health conditions in home-based settings. Medication adherence is an important aspect in disease self-management since sub-optimal medication adherence by the patient can lead to serious healthcare costs and discomfort for the patient. In order to alleviate the limitations of self-reported medication adherence, we can use ambient assistive living (AAL) technologies in smart environments. Activity recognition services allow to retrieve self-management information related to medication adherence in a less intrusive way. By remotely monitor compliance with medication adherence, self-management program's interventions can be tailored and adapted based on the observed patient's behaviour. To address this challenge, we present an AAL framework that monitor activities related to medication adherence.
Mobile Medical Apps and mHealth Devices: A Framework to Build Medical Apps and mHealth Devices in an Ethical Manner to Promote Safer Use – A Literature Review
Authors: Sharp Mary  , O'Sullivan Declan
Published: February 2025

This paper presents a preliminary literature review in the area of ethics in the development of Mobile Medical Apps and mHealth. The review included both direct health apps and also apps marketed under the area of well-being in addition to mHealth devices. The following words and combinations of them were used to carry out the search for publications, mHealth, Apps, Ethics. The search engines used were Google Scholar, and PubMed. The paper is restricted to publications since 2012. The total number of papers found was 1,920 of which 84 were reviewed. The reason for so few being reviewed was that the majority only considered security. The search revealed many papers dealing with security for all types of apps and mHealth devices but there are very few papers dealing with the ethical issues related to Apps or mHealth devices in the area. It is noted however that the number of apps is increasing in number exponentially and therefore it is argued that it is necessary to pay attention to the ethical aspects. There are now estimated to be 165,000 apps available in this area. How ethics are addressed in health and well-being apps is important as they can have an effect on the health of the individual using them. In a similar way, the need for addressing ethical issues for development of well-being apps is evident. In a study [1] it was noted that even though Electronic Health Record (EHR) was the highest ranked tablet-related task only one third of clinicians said that EHR was optimized for smartphones. When apps are integrated with the EHR they fully optimize productivity. In the same study the significant challenges identified included the method of evaluation and selection of mobile health solutions in order to ensure that clinical outcomes, care and efficiency are included. Security is mentioned but again wider ethical issues were not a consideration. From the literature review it is clear that there is a need for guidelines for how developers of medical ad well-being apps and mHealth devices should address ethical issues during development, and the generation of these guidelines is the subject of ongoing research by the authors.
Exploring Innovation Capabilities of Hospital CIOs: An Empirical Assessment
Authors: Esdar Moritz  , Liebe Jan-David  , Weiß Jan-Patrick  , Hübner Ursula
Published: February 2025

Hospital CIOs play a central role in the adoption of innovative health IT. Until now, it remained unclear which particular conditions constitute their capability to innovate in terms of intrapersonal as well as organisational factors. An inventory of 20 items was developed to capture these conditions and examined by analysing data obtained from 164 German hospital CIOs. Principal component analysis resulted in three internally consistent components that constitute large portions of the CIOs innovation capability: organisational innovation culture, entrepreneurship personality and openness towards users. Results were used to build composite indicators that allow further evaluations.
Piloting a Collaborative Web-Based System for Testing ICD-11
Authors: Donada Marc  , Kostanjsek Nenad  , Della Mea Vincenzo  , Celik Can  , Jakob Robert
Published: February 2025

Background: The 11threvision of the International Classification of Diseases (ICD-11), for the first time in ICD history, deployed web-based collaboration of experts and ICT tools. To ensure that ICD-11 is working well, it needs to be systematically field tested in different settings, across the world. This will be done by means of a number of experiments. In order to support its implementation, a web-based system (ICDfit) has been designed and developed. The present paper illustrates the current prototype of the system and its technical testing.
Design of a Visual Interface for Comparing Antibiotics Using Rainbow Boxes
Authors: Tsopra Rosy  , Kinouani Shérazade  , Venot Alain  , Jaulent Marie-Christine  , Duclos Catherine  , Lamy Jean-Baptiste
Published: February 2025

Non-optimal prescriptions of antibiotics have a negative impact on patients and population. Clinical practice guidelines are not always followed by doctors because the rationale of the recommendations is not always clear and can be difficult to understand. In this paper, we propose a new approach consisting in presenting the properties of antibiotics for allowing doctors to compare them and choose the most appropriate one. For that, we used and extended rainbow boxes, a new technique for overlapping set visualization. We tested our approach on 11 clinical situations related to urinary infections, and assessed the simplicity, the interest and utility with 11 doctors. 10 of them found that this approach was interesting and useful in clinical practice. Further studies are needed to confirm this preliminary work.
Needles in a Haystack: Screening and Healthcare System Evidence for Homelessness
Authors: Fargo Jamison D.  , Montgomery Ann Elizabeth  , Byrne Thomas  , Brignone Emily  , Cusack Meagan  , Gundlapalli Adi V.
Published: February 2025

Effectiveness of screening for homelessness in a large healthcare system was evaluated in terms of successfully referring and connecting patients with appropriate prevention or intervention services. Screening and healthcare services data from nearly 6 million U.S. military veterans were analyzed. Veterans either screened positive for current or risk of housing instability, or negative for both. Current living situation was used to validate results of screening. Administrative evidence for homelessness-related services was significantly higher among positive-screen veterans who accepted a referral for services compared to those who declined. Screening for current or risk of homelessness led to earlier identification, which led to earlier and more extensive service engagement.
Development of a Web-Based Quality Dashboard Including a Toolbox to Improve Pain Management in Dutch Intensive Care
Authors: Roos-Blom Marie-José  , Gude Wouter T.  , de Jonge Evert  , Spijkstra Jan Jaap  , van der Veer Sabine N.  , Dongelmans Dave A.  , de Keizer Nicolette F.
Published: February 2025

Audit and feedback (A&F) is a common strategy to improve quality of care. Meta-analyses have indicated that A&F may be more effective in realizing desired change when baseline performance is low, it is delivered by a supervisor or colleague, it is provided frequently and in a timely manner, it is delivered in both verbal and written formats, and it includes specific targets and an action plan. However, there is little information to guide operationalization of these factors. Researchers have consequently called for A&F interventions featuring well-described and carefully justified components, with their theoretical rationale made explicit. This paper describes the rationale and development of a quality dashboard including an improvement toolbox for four previous developed pain indicators, guided by Control Theory.
A Medication Reminder Mobile App: Does It Work for Different Age Ranges
Authors: Fallah Mina  , Yasini Mobin
Published: February 2025

Successful medication adherence particularly in elderly with chronic diseases will improve their self-management. Medication reminder systems could be useful to improve this adherence. This study consists of two phases, designing a mobile medical app based on Android platform and then its evaluation. To develop this application, first, the use case scenarios have been hypothesized in partnership with health professionals and patients used to take medications daily. Unified Modeling Language was used to model the use cases. The evaluation was performed with usability testing and efficacy testing. The results show that the app was well accepted both in young people and older adults. Engaging target users and health professionals in the conception and development of a health-related app could have better results in the usability and the efficacy of the app.
Identification of Cost Indicators with Significant Economic Impact on the Total Treatment Costs of Chronic Heart Vailure Patients – A Meta-Analysis
Authors: Hameed Ahmed S.  , Modre-Osprian Robert  , Schreier Günter
Published: February 2025

Increasing treatment costs of HF patients affect the initiation of appropriate treatment method. Divergent approaches to measure the costs of treatment and the lack of common cost indicators impede the comparison of therapy settings.
eMedication Meets eHealth with the Electronic Medication Management Assistant (eMMA)
Authors: Tschanz Mauro  , Dorner Tim Lucas  , Denecke Kerstin
Published: February 2025

Background: A patient's healthcare team is often missing a complete overview on the prescribed and dispensed medication. This is due to an inconsistent information flow between the different actors of the healthcare system. Often, only the patient himself knows exactly which drugs he is actually taking.
Electronic Health Records in Prehospital Care
Authors: Rohrer Katharina
Published: February 2025

Documentation is an essential part and duty in all clinical settings. “ELGA” (short for “Elektronische Gesundheitsakte”) is the Austrian Electronic Health Record and aims to support the process of clinical decision-making. However the use case of integrating ELGA to an out-of-hospital setting is not defined yet. This work explores the special requirements in prehospital care. The aim of research is to identify needed information and processes at the emergency scene to establish appropriate decisions about diagnosis, treatments and transport. Moreover the mentioned use case should be discussed by mapping available data fields in ELGA to the required data at scene. To satisfy the research goal an exploratory research using field work and expert interviews was done as well as a systematic analysis of findings. The results were analyzed with a thematic analysis approach and structured as flow charts, to illustrate the process, and as an Entity-Relationship-Model, to show the required data at scene mapped to available data fields in ELGA. It was possible to show that ELGA is suitable to serve several use cases in prehospital care.
Health Information System in a Cloud Computing Context
Authors: Sadoughi Farahnaz  , Erfannia Leila
Published: February 2025

Healthcare as a worldwide industry is experiencing a period of growth based on health information technology. The capabilities of cloud systems make it as an option to develop eHealth goals. The main objectives of the present study was to evaluate the advantages and limitations of health information systems implementation in a cloud-computing context that was conducted as a systematic review in 2016. Science direct, Scopus, Web of science, IEEE, PubMed and Google scholar were searched according study criteria. Among 308 articles initially found, 21 articles were entered in the final analysis. All the studies had considered cloud computing as a positive tool to help advance health technology, but none had insisted too much on its limitations and threats. Electronic health record systems have been mostly studied in the fields of implementation, designing, and presentation of models and prototypes. According to this research, the main advantages of cloud-based health information systems could be categorized into the following groups: economic benefits and advantages of information management. The main limitations of the implementation of cloud-based health information systems could be categorized into the 4 groups of security, legal, technical, and human restrictions. Compared to earlier studies, the present research had the advantage of dealing with the issue of health information systems in a cloud platform. The high frequency of studies conducted on the implementation of cloud-based health information systems revealed health industry interest in the application of this technology. Security was a subject discussed in most studies due to health information sensitivity. In this investigation, some mechanisms and solutions were discussed concerning the mentioned systems, which would provide a suitable area for future scientific research on this issue. The limitations and solutions discussed in this systematic study would help healthcare managers and decision-makers take better and more efficient advantages of this technology and make better planning to adopt cloud-based health information systems.
Measuring the Negative Impact of Long Sitting Hours at High School Students Using the Microsoft Kinect
Authors: Gal-Nadasan Norbert  , Gal-Nadasan Emanuela Georgiana  , Stoicu-Tivadar Vasile  , Poenaru Dan V.  , Popa-Andrei Diana
Published: February 2025

This paper suggests the usage of the Microsoft Kinect to detect the onset of the scoliosis at high school students due to incorrect sitting positions. The measurement is done by measuring the overall posture in orthostatic position using the Microsoft Kinect. During the measuring process several key points of the human body are tracked like the hips and shoulders to form the postural data. The test was done on 30 high school students who spend 6 to 7 hours per day in the school benches. The postural data is statistically processed by IBM Watson's Analytics. From the statistical analysis we have obtained that a prolonged sitting position at such young ages affects in a negative way the spinal cord and facilitates the appearance of malicious postures like scoliosis and lordosis.
A User Study: Keyboard and Applications to Simplify Smartphone Adoption for Seniors
Authors: Austad Hanne O.  , Liverud Anders E.  , Chan Richard  , Røhne Mette
Published: February 2025

The aim of the user study was to evaluate how the developed assistive physical keyboard, the Ezi-PAD, and integrated senior friendly applications, can encourage non-smartphone seniors to start using the smartphone and enable senior smartphone users to continue using a smartphone in spite of increasing motoric or visual impairment. A number of seniors with different experience and impairment, aged 64 to 86, were equipped with a smartphone and an Ezi-PAD assembly. After basic training, their use of the smartphone was monitored for up to 2 months. Five out of nine participants used the system for 2 months, and found the Ezi-PAD easy to use. The senior friendly applications gave extra utilitarian value to the phone.
Portable qEEG and HD-tCS Device for Point-of-Injury Traumatic Brain Injury Diagnostics
Authors: Strisland Frode  , Vedum Jon  , Liverud Anders  , Dalgard Steffen  , Brødreskift Tomas  , Albert Bruno  , Noyvirt Alexandre  , Setchi Rossitza  , Vene Karl  , Herranen Henrik  , Kirs Maarjus  , Antal Andrea  , Schellhorn Klaus  , Sjaaheim Haldor
Published: February 2025

Mild Traumatic Brain Injury (mTBI) can cause prolonged or permanent injuries if left undetected and ignored. It is therefore of great interest to lower the threshold for diagnosis of individuals with mTBI injury. We report on the development of a prototype of a portable quantified EEG (qEEG) system intended for in-the-field mTBI diagnostics. The 32-electrode system is fully battery driven, is interfaced with a control unit being part of a telemedicine care system. Electrode montage is a central problem effectively challenging measurements outside clinical environments. The system concept is unique in the sense that it will allow an automated montage process employing a flexible, disposable, one-size-fits-all electrode cap. All electrodes are individually configurable so that they can be used for both wet and dry qEEG electrodes. All electrodes can also be individually configured to allow Trans-Cranial Current Stimulation (tCS) sessions in DC, AC or other current supply modalities. The system has been functionality tested in end-to-end configurations where all control and measurement signals are forwarded between the head device on one side and the user interface and telemedicine system on the other. Tests confirm that the device can acquire and forward EEG data from 32 channels in parallel at target sensitivities up to 1 kHZ sampling frequencies. Additional device clinical evaluation is planned.
Compliance or Conformance: What Should Interoperability Focus on?
Authors: Oemig Frank  , Blobel Bernd
Published: February 2025

Using communication standards is normally combined with the expectation that interfaces implementing them are interoperable. This paper examines why this is not the case and what must be done to overcome this problem. It ends with a conclusion and recommendations for future developments.
Associations Between Hearing Performance and Physiological Measures – An Overview and Outlook
Authors: Tietz Lukas H.B.  , Katrakazas Panagiotis  , Laplante-Lévesque Ariane  , Pontoppidan Niels Henrik  , Koloutsou Nina  , Spanoudakis George  , Koutsouris Dimitrios
Published: February 2025

The current paper summarises the research investigating associations between physiological data and hearing performance. An overview of state-of-the-art research and literature is given as well as promising directions for associations between physiological data and data regarding hearing loss and hearing performance. The physiological parameters included in this paper are: electrodermal activity, heart rate variability, blood pressure, blood oxygenation and respiratory rate. Furthermore, the environmental and behavioural measurements of physical activity and body mass index, alcohol consumption and smoking have been included. So far, only electrodermal activity and heart rate variability are physiological signals simultaneously associated with hearing loss or hearing performance. Initial findings suggest blood pressure and respiratory rate to be the most promising physiological measures that relate to hearing loss and hearing performance.
Real-Time Process Analytics in Emergency Healthcare
Authors: Koufi Vassiliki  , Malamateniou Flora  , Prentza Adrianna  , Vassilacopoulos George
Published: February 2025

Emergency medical systems (EMS) are considered to be amongst the most crucial systems as they involve a variety of activities which are performed from the time of a call to an ambulance service till the time of patient's discharge from the emergency department of a hospital. These activities are closely interrelated so that collaboration and coordination becomes a vital issue for patients and for emergency healthcare service performance. The utilization of standard workflow technology in the context of Service Oriented Architecture can provide an appropriate technological infrastructure for defining and automating EMS processes that span organizational boundaries so that to create and empower collaboration and coordination among the participating organizations. In such systems, the utilization of leading-edge analytics tools can prove important as it can facilitate real-time extraction and visualization of useful insights from the mountains of generated data pertaining to emergency case management. This paper presents a framework which provides healthcare professionals with just-in-time insight within and across emergency healthcare processes by performing real-time analysis on process-related data in order to better support decision making and identify potential critical risks that may affect the provision of emergency care to patients.
On Methodological and Technological Challenges for Proactive Health Management in Smart Homes
Authors: Wolf Klaus-Hendrik  , Dehling Tobias  , Haux Reinhold  , Sick Bernhard  , Sunyaev Ali  , Tomforde Sven
Published: February 2025

Health management in smart homes has advanced during the last years. With proactive health management in such environments further progress for health prevention and care is to be expected. Challenges for proactive health management in three areas are summarized and briefly discussed: pattern recognition and machine learning, information privacy and user-oriented design, and sensor-enhanced health information systems architectures.
Plagiarism Detection by Online Solutions
Authors: Masic Izet  , Begic Edin  , Dobraca Amra
Published: February 2025

The problem of plagiarism represents one of the burning issues of the modern scientific world. Detection of plagiarism is a problem that the Editorial Board encounters in their daily work. Software solutions represent a good solution for the detection of plagiarism. The problem of plagiarism will become most discussed topic of the modern scientific world, especially due to the development of standard measures, which rank the work of one author. Investment in education, education of young research personnel about the importance of scientific research, with paying particular attention on ethical behavior, becomes an imperative of academic staff. Editors have to invest additional effort in the development of the base of reviewers team as well as in their proper guidance, because after all, despite the software solutions, they are the best weapon to fight plagiarism. Peer review process should be a key of successful operation of each journal.
Continuous Education in Community Nursing with the Use of Health Informatics
Authors: Chardalias Kostis  , Magnita Andrianna  , Andrianopoulos Charalampos  , Koutonias Panagiotis  , Kefaliakos Antonis  , Diomidous Marianna
Published: February 2025

Continuous Education can make a significant progress in any professional scientific discipline such as Nursing, which is constantly evolving. The main purpose of this paper is the review of contemporary literature in relation to the continuous education in community-nursing, with the use of health informatics. Additionally, these reasons are examined for which, nurses attend or not programs of continuing education. Finally, Accreditation, Interdisciplinary Education and Nursing Education to provide in the best possible way the necessary knowledge to students, is highlighted.
An Overview of the BIOMed Project
Authors: Mantas John  , Wageih Mohamed A.
Published: February 2025

The purpose is to: 1) foster the national BioMedical Informatics (BMI) foundation aligning with the international medical informatics association (IMIA) in order to remodel the national strategies; 2) structure the BMHI strategic plans in Egypt and Jordan as models for other Arab States; 3) define the requirements for new joint EU-Mediterranean BMHI projects and initiatives; and 4) encourage and support the BMHI centres of excellence in Egypt and Jordan. BIOMed will synergistically apply up-to-date European and International methodologies & standards. The pre-defined challenges were integrating multiple segregated BMHI initiatives and policies; overcoming obstructions- socio, political, economic; recommendation adaptation, assessing the current and proposed solutions; defining the national health systems real demands; identifying different European best practices. Political instability in the Middle East after the Arab Spring in 2011 added further challenges as well as improved the importance of the EU-MENA (EU and Middle East and North Africa) cooperation.
Cybersecurity and the Medical Device Product Development Lifecycle
Authors: Jones Richard W.  , Katzis Konstantinos
Published: February 2025

Protecting connected medical devices from evolving cyber related threats, requires a continuous lifecycle approach whereby cybersecurity is integrated within the product development lifecycle and both complements and re-enforces the safety risk management processes therein. This contribution reviews the guidance relating to medical device cybersecurity within the product development lifecycle.
Feedback and Training to Improve Use of an Electronic Prescribing System: A Randomised Controlled Trial
Authors: Leung Scott  , Zheng Wu Yi  , Sandhu Anmol  , Day Richard  , Li Ling  , Baysari Melissa
Published: February 2025

Excessive presentation of alerts in electronic prescribing systems (ePS) results in ‘alert fatigue’ which reduces alert effectiveness and frustrates users. Previous research at our study site showed high rates of duplication alerts, some of which were the result of doctors not using available short-cut functions in the ePS. This study aimed to improve uptake of short-cut functions and so reduce alert fatigue by trialing two interventions: feedback and training. Fifty doctors were randomised to one of three groups: Control, Feedback or Training. The Feedback group received an individualised feedback report via email and the Training group received brief face-to-face refresher training. Participants partook in informal interviews to discuss the training and the ePS in use. The proportion of orders which triggered a duplication alert was our primary outcome measure. Neither intervention had a significant impact on duplication alert rate (Feedback: 80.8% vs. 77.8% of orders, Training: 77.5% vs. 76.5% of orders; all p>0.05). We identified a number of factors related to the intervention, ePS and prescribing environment that contributed to this result. Rather than focusing on changing prescribing behaviour, we suggest a more effective and appropriate approach is to redesign the ePS so that fewer and more meaningful alerts are presented.
Channel Estimation in OFDM System Based on LS and FEC Iteration
Authors: Chen Wenyan  , Huang Ying  , Zou Xiang  , Fan Wenbo  , Guo Jianxin
Published: February 2025

In the Orthogonal Frequency Division Multiplexing (OFDM) system, a channel estimation algorithm based on least squares (LS) and forward error correction (FEC) iteration was proposed for the shortcoming of traditional LS algorithm. In this paper, LS algorithm and FEC algorithm were introduced, and the improved algorithm was explained in detail. The improved algorithm used the FEC correction performance to correct channel estimation results. Simulation results showed that the improved algorithm can effectively improve the performance of channel estimation.
Print Defect Detection Based on Image Processing
Authors: Huang Mengtao  , Li Qinyao
Published: February 2025

Aiming at the problem of print defect detection, this paper presents a defect detection system based on image processing. The system collects print image pictures by CCD camera and sends those pictures to the computer. After receiving pictures, the image processing software called VS2010 which is based on OPENCV processes the received pictures and extracts defective pictures by background difference method. The experimental results show that the algorithm can accurately identify the defect print and meet the system design requirements.
Powertrain Parameter Matching and Control Strategy of Electric Drive Chassis for Extended-Range Electric Vehicle
Authors: Zhao Jing-bo  , Liu Hai-mei  , Bei Shao-yi
Published: February 2025

In order to evaluate the various performance indexes of extended range electric vehicles, a parameter matching is proposed for a certain extended range electric vehicle. Based on Matlab / Simulink, on the basis of ADVISOR series hybrid electric vehicle model, modify and optimize vehicle dynamics models, motor models and battery models, and propose the control strategy, the dynamic and economic performance was researched in UDDS cycle condition. The results shown that when the motor torque is 0~200Nm, the engine torque output is 55~100Nm, the efficiency of the battery is kept above 90% under the CYC_UDDS cycle condition of the electric vehicle. With the original vehicle dynamics unchanged, the emissions performance and fuel consumption rates have been improved.
Research on Setting and Benefit Evaluation of Integrated Waiting Area Based on VISSIM Platform
Authors: Chen XinChao  , Qin Si  , Zhang Jian  , Pan Hong
Published: February 2025

This paper research on the setting condition and benefit of the integrated waiting area (IWA) using VISSIM platform. The traffic organization and detailed seting conditions of the IWA is analysised. At the end, the capacity, delay is selected as the index to evaluate the performance. The results show that the IWA can effectively improve the traffic capacity and reduce the vehicle delay.
Assisting Vulnerable Communities: Canyon Ranch Institute's and Health Literacy Media's Health Literacy and Community-Based Interventions
Authors: Pleasant Andrew
Published: February 2025

Canyon Ranch Institute and Health Literacy Media are a 501(c)3 non-profit public charity working to improve health based on the best evidence-based practices of health literacy and integrative health. As an organization, we offer a spectrum of health literacy work extending from plain language services to intensive community-based interventions. (See www.canyoranchinstitute.org & www.healthliteracy.media) In this chapter, we discuss the methodologies and outcomes of two of those community-based interventions – the Canyon Ranch Institute Life Enhancement Program and our Theater for Health program. Perhaps uniquely, an underpinning approach to both efforts is based on the increasing body of evidence of health literacy as a social determinant of health. Therefore, our research and evaluation of these programs captures not only changes in knowledge, attitudes, and beliefs but explicitly includes changes in informed behavior change and objective health outcomes as well. Our work makes it clear – that if you engage people in a health literate approach to informed behavior change (and respect their knowledge of their own lives and context) you can help people help themselves to better health. Further, from the perspective of health as a right and a resource for living, we find people who advance their health use this resource to continually better their own and their family's lives as well as the communities where they live. Hopefully, the examples provided in this chapter provide a sense of direction and motivation to others to fully explore the potential of health literacy to improve health and well-being, increase satisfaction with life, and produce health outcomes at a lower cost.
Patient Perceptions About Data Sharing & Privacy: Insights from ActionADE
Authors: Small Serena S.  , Peddie David  , Ackerley Christine  , Hohl Corinne M.  , Balka Ellen
Published: February 2025

Information communication technologies (ICTs) may improve health delivery by enhancing informational continuity of care and enabling secondary use of health data including public health surveillance and research. ICTs also introduce concerns related to privacy. In this paper, we examine and address this tension in the context of the development and implementation of a novel platform that will enable the documentation and communication of patient-specific ADE information, titled ActionADE. We explored privacy concerns qualitatively from the perspective of patients. Our findings will inform a series of recommendations for system design that seek to balance the need to both share and protect personal health information.
Pokémon-Go: Why Augmented Reality Games Offer Insights for Enhancing Public Health Interventions on Obesity-Related Diseases
Authors: Wong Ming Chao  , Turner Paul  , MacIntyre Kate  , Yee Kwang Chien
Published: February 2025

Stimulating widespread interests of the population to participate in behavioural changes through information and technology has been an aim of much health informatics research. The recent widespread participation of the augmented reality game Pokémon Go which encourages exercises, provides significant insights into the potential of information technology to improve healthcare intervention on obesity-related disease. Does Pokémon Go point to another way of achieving health benefits using mobile devices? This paper analyses the features of Pokémon Go in relation to potential health benefits. This paper suggests from the perspective of a user on changes to the game that potentially could help with obesity, mental health cardiovascular health and vitamin D deficiencies. While the impact of augmented reality games on improving exercises might be substantial, the question of sustainability and likely long-term health outcomes remain debatable. The rapid uptake of Pokémon Go by the population around the world, however, should serve as a useful lesson for information and technological design to improve outcomes obesity-related diseases in the future.
ICT Design for Collaborative and Community Driven Disaster Management
Authors: Kuziemsky Craig E.
Published: February 2025

Information and communication technologies (ICT) have the potential to greatly enhance our ability to develop community reliance and sustainability to support disaster management. However, developing community resilience requires the sharing of numerous resources and the development of collaborative capacity, both of which make ICT design a challenge. This paper presents a framework that integrates community based participatory research (CBPR) and participatory design (PD). We discuss how the framework provides bounding to support community driven ICT design and evaluation.
Open DeveloperSpace: An Enabling Infrastructure for Stakeholders to Generate New Access Solutions
Authors: Vanderheiden Gregg  , Riedel Till  , Peissner Matthias  , Clark Colin  , Peinado Ignacio  , Atkins Tony  , Tsakou Gianna  , Basman Antranig  , Bates Simon  , Gill Avtar
Published: February 2025

The DeveloperSpace, one of the core components of GPII, is a self-sustainable infrastructure and collaborative environment, where developers, implementers, consumers, prosumers and other directly and indirectly involved actors (e.g. teachers, caregivers, clinicians) may interact with and play a role in its viability and the development of new access solutions.
Teachers' Experiences of Hope Using Eye Gaze-Controlled Computers
Authors: Rytterström Patrik
Published: February 2025

Technology to control a computer with eye gaze is a fast growing field and has promising implications for people with severe disabilities. 11 school staff was interviewed about teaching using an eye gaze computer for pupils with severe disabilities. The eye gaze computer creates opportunities for the teachers to get a glimpse of emotions and knowledge that is “inside” the pupil's trapped body and creates hope concerning the pupil's future possibilities. The implementation of the eye gaze computer create new imaginations for the future for the pupil and when the teachers are exposing themselves to the uncertainty, hope becomes a source of motivation and behavior.
Perceptions and Use of Technology to Support Older Adults with Multimorbidity
Authors: Murphy Emma  , Doyle Julie  , Hannigan Caoimhe  , Smith Suzanne  , Kuiper Janneke  , Jacobs An  , Hoogerwerf Evert-Jan  , Desideri Lorenzo  , Fiordelmondo Valentina  , Maluccelli Lorenza  , Brady Anne-Marie  , Dinsmore John
Published: February 2025

Digital technologies hold great potential to improve and advance home based integrated care for older people living with multiple chronic health conditions. In this paper, we present the results of a user requirement study for a planned digital integrated care system, based on the experiences and needs of key stakeholders. We present rich, multi-stakeholder, qualitative data on the perceptions and use of technology among older people with multiple chronic health conditions and their key support actors. We have outlined our future work for the design of the system, which will involve continuous stakeholder engagement through a user-centred co-design method.
Risks of Stigmatisation Resulting from Assistive Technologies for People with Autism Spectrum Disorder
Authors: O'Brolcháin Fiachra  , Gordijn Bert
Published: February 2025

This short paper presents a philosophical analysis of the ways in which assistive technologies (ATs) can result in the stigmatisation of users with ASD. It frames the discussion in the context of the medical and social models of disability and outlines a number of ethical risks that might arise from the project of developing ATs.
Non-Visually Performing Analytical Tasks on Statistical Charts
Authors: Murillo-Morales Tomas  , Miesenberger Klaus
Published: February 2025

This article proposes a natural language-based approach to accessibility of charts. Formal underpinnings are used to semantically annotate the constituent elements of a vector graphic to support accessing and modifying the content by natural language queries in a web interface. A prototype which lets blind users perform a number of analytical activities on bar charts is introduced.
Providing Sources of Self-Efficacy Through Technology Enhanced Post-Stroke Rehabilitation in the Home
Authors: Parker Jack  , Mawson Susan
Published: February 2025

This research explores the impact of receiving feedback through a Personalised Self-Managed Rehabilitation System (PSMrS) for home-based post-stroke rehabilitation on the users' self-efficacy; more specifically, mastery experiences and the interpretation of biomechanical data. Embedded within a realistic evaluation methodological approach, exploring the promotion of self-efficacy from the utilisation of computer-based technology to facilitate post-stroke upper-limb rehabilitation in the home included; semi-structured interviews, quantitative user data (activity and usage), observations and field notes. Data revealed that self-efficacy was linked with obtaining positive knowledge of results feedback. Encouragingly, this also transferred to functional activities such as, confidence to carry out kitchen tasks and bathroom personal activities. Findings suggest the PSMrS was able to provide key sources of self-efficacy by providing feedback which translated key biomechanical data to the users. Users could interpret and understand their performance, gain a sense of mastery and build their confidence which in some instances led to increased confidence to carry out functional activities. However, outcome expectations and socio-structural factors impacted on the self-efficacy associated with the use of the system. Increasing the understanding of how these factors promote or inhibit self-management and self-efficacy is therefore crucial to the successful adoption of technology solutions and promotion of self-efficacy.
Mouthsticks – A Participatory Approach
Authors: Ernst Waltraud  , Nussbaum Gerhard  , Berger Veronika M.  , Major Zoltan
Published: February 2025

Mouthsticks are quite an old kind of assistive technology (AT) but nevertheless they are up to now the Swiss army knives among AT. Unfortunately the popularity of mouthsticks massively decreased during the 1990s with the result that knowledge about how to produce good mouthsticks got lost and that there are hardly any adaptable mouthsticks available on the market. This paper discusses the development of a personalized mouthstick with the involvement of end users – people with severe physical disabilities - and occupational therapists as experts of everyday use. A participatory approach was chosen. The results of the analysis of a standardized questionnaire, group discussions and a collaborative workshop with IT-designers, polymer engineers, end users, occupational therapists and gender and diversity researchers are presented and discussed. This proved the necessity of the development of a personalized mouthstick.