bluuebunny/crossref_metadata_2025 huggingface dataset:
Allergy Risk Finder: Hypothesis Generation System for Allergy Risks via Web Service
Authors: Aramaki Eiji  , Shikata Shuko  , Watabe Eriko  , Miyabe Mai  , Usuda Yasuyuki  , Ayaya Satsuki  , Kumagaya Shinichiro
Published: February 2025

This study's aim was to build a web service that automatically collects and tests hypotheses for possible allergy risks. We crowdsourced for unknown allergy risks, and obtained odds ratios. By using the collected hypotheses, we built a web service that estimates allergy risks from a questionnaire (consisting of 10 questions that we gathered from the crowdsourcing task), and at the end, we asked the users their new hypotheses on possible allergy risks. The web service also asked the users to send their original hypotheses to contribute to find the cause of allergy. In the near future, clinical trials to validate the hypotheses found in this study are desired.
A Decision Fusion Framework for Treatment Recommendation Systems
Authors: Mei Jing  , Liu Haifeng  , Li Xiang  , Xie Guotong  , Yu Yiqin
Published: February 2025

Treatment recommendation is a nontrivial task – it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation.
Health Care Decision Support System for the Pediatric Emeregency Department Management
Authors: Othman Sarah Ben  , Hammadi Slim  , Quilliot Alain  , Martinot Alain  , Renard Jean-Marie
Published: February 2025

Health organization management is facing a high amount of complexity due to the inherent dynamics of the processes and the distributed organization of hospitals. It is therefore necessary for health care institutions to focus on this issue in order to deal with patients' requirements and satisfy their needs. The main objective of this study is to develop and implement a Decision Support System which can help physicians to better manage their organization, to anticipate the overcrowding feature, and to establish avoidance proposals for it. This work is a part of HOST project (Hospital: Optimization, Simulation, and Crowding Avoidance) of the French National Research Agency (ANR). It aims to optimize the functioning of the Pediatric Emergency Department characterized by stochastic arrivals of patients which leads to its overcrowding and services overload. Our study is a set of tools to smooth out patient flows, enhance care quality and minimize long waiting times and costs due to resources allocation. So we defined a decision aided tool based on Multi-agent Systems where actors negotiate and cooperate under some constraints in a dynamic environment. These entities which can be either physical agents representing real actors in the health care institution or software agents allowing the implementation of optimizing tools, cooperate to satisfy the demands of patients while respecting emergency degrees. This paper is concerned with agents' negotiation. It proposes a new approach for multi-skill tasks scheduling based on interactions between agents.
A Serious Game for Upper Limb Stroke Rehabilitation Using Biofeedback and Mirror-Neurons Based Training
Authors: Cargnin Diego João  , Cordeiro d'Ornellas Marcos  , Cervi Prado Ana Lúcia
Published: February 2025

Upper limb stroke rehabilitation requires early, intensive and repetitive practice to be effective. Consequently, it is often difficult to keep patients committed to their rehabilitation regimen. In addition to direct measures of rehabilitation achievable through targeted assessments, other factors can indirectly lead to rehabilitation. Current levels of integration between commodity graphics software, hardware, and body-tracking devices have provided a reliable tool to build what are referred to as serious games, focusing on the rehabilitation paradigm. More specifically, serious games can captivate and engage players for a specific purpose such as developing new knowledge or skills. This paper discusses a serious game application with a focus on upper limb rehabilitation in patients with hemiplegia or hemiparesis. The game makes use of biofeedback and mirror-neurons to enhance the patient's engagement. Results from the application of a quantitative self-report instrument to assess in-game engagement suggest that the serious game is a viable instructional approach rather than an entertaining novelty and, furthermore, demonstrates the future potential for dual action therapy-focused games.
The Online Availability of Multilingual Health Promotion Materials Produced by Local Health Departments: an Information Assessment
Authors: Capurro Daniel  , Chaudhuri Shomir  , Turner Anne M.
Published: February 2025

Objectives: Local Health Departments (LHDs) are a key source of health promotion information. For ethnically and culturally diverse communities, it becomes important to provide minorities with language appropriate health information. This project sought to assess the availability of multilingual health promotion materials on LHD websites in Washington State (WA), USA. Methods: We performed a cross-sectional study of all 34 LHD websites in WA. We collected and classified health promotion documents available to the public, specifically, whether translated versions were available. We also assessed the extent of document sharing between LHDs. Results: We identified 1,624 documents across 34 LHDs. Topics most frequently covered were communicable diseases and emergency preparedness. Fewer than 10% of documents were available in non-English languages. We found little evidence of document sharing between LHDs; only 5% of all documents were shared between LHDs. Conclusions: WA LHDs provide a variety of health promotion materials for the public, but few multilingual materials are available online. New technologies for facilitating document sharing and machine translation may improve the present landscape.
Serious Games: A Concise Overview on What They Are and Their Potential Applications to Healthcare
Authors: Giunti Guido  , Baum Analía  , Giunta Diego  , Plazzotta Fernando  , Benitez Sonia  , Gómez Adrián  , Luna Daniel  , González Bernaldo de Quiros Fernan
Published: February 2025

Younger generations are extensive users of digital devices; these technologies have always existed and have always been a part of their lives. Video games are a big part of their digital experience. User-centered design is an approach to designing systems informed by scientific knowledge of how people think, act, and coordinate to accomplish their goals. There is an emerging field of intervention research looking into using these techniques to produce video games that can be applied to healthcare. Games with the purpose of improving an individual's knowledge, skills, or attitudes in the “real” world are called “Serious Games”. Before doctors and patients can consider using Serious Games as a useful solution for a health care-related problem, it is important that they first are aware of them, have a basic understanding of what they are, and what, if any, claims on their effectiveness exist. In order to bridge that gap, we have produced this concise overview to introduce physicians to the subject at hand.
Using EHRs and Machine Learning for Heart Failure Survival Analysis
Authors: Panahiazar Maryam  , Taslimitehrani Vahid  , Pereira Naveen  , Pathak Jyotishman
Published: February 2025

“Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs” [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health Records (EHRs), we can identify high-risk patients and apply individualized treatment and healthy living choices to potentially reduce their mortality risk. The Seattle Heart Failure Model (SHFM) is one of the most popular models to calculate HF survival risk that uses multiple clinical variables to predict HF prognosis and also incorporates impact of HF therapy on patient outcomes. Although the SHFM has been validated across multiple cohorts [1-5], these studies were primarily done using clinical trials databases that do not reflect routine clinical care in the community. Further, the impact of contemporary therapeutic interventions, such as beta-blockers or defibrillators, was incorporated in SHFM by extrapolation from external trials. In this study, we assess the performance of SHFM using EHRs at Mayo Clinic, and sought to develop a risk prediction model using machine learning techiniques that applies routine clinical care data. Our results shows the models which were built using EHR data are more accurate (11% improvement in AUC) with the convenience of being more readily applicable in routine clinical care. Furthermore, we demonstrate that new predictive markers (such as co-morbidities) when incorporated into our models improve prognostic performance significantly (8% improvement in AUC).
Patient Outcomes as Transformative Mechanisms to Bring Health Information Technology Industry and Research Informatics Closer Together
Authors: Krive Jacob
Published: February 2025

Despite the fast pace of recent innovation within the health information technology and research informatics domains, there remains a large gap between research and academia, while interest in translating research innovations into implementations in the patient care settings is lacking. This is due to absence of common outcomes and performance measurement targets, with health information technology industry employing financial and operational measures and academia focusing on patient outcome concerns. The paper introduces methodology for and roadmap to introduction of common objectives as a way to encourage better collaboration between industry and academia using patient outcomes as a composite measure of demonstrated success from health information systems investments. Along the way, the concept of economics of health informatics, or “infonomics,” is introduced to define a new way of mapping future technology investments in accordance with projected clinical impact.
The Case for Conceptual and Computable Cross-Fertilization Between Audit and Feedback and Clinical Decision Support
Authors: Brown Benjamin  , Peek Niels  , Buchan Iain
Published: February 2025

Many patients do not receive care consistent with best practice. Health informatics interventions often attempt to address this problem by comparing care provided to patients (e.g., from electronic health record data) to quality standards (e.g., described in clinical guidelines) and feeding this information back to clinicians. Traditionally these interventions are delivered at the patient-level as computerized clinical decision support (CDS) or at the population level as audit and feedback (A&F). Both CDS and A&F can improve care for patients but are variably effective; the challenge is to understand how the efficacy can be maximized. Although CDS and A&F are traditionally considered separate approaches, we argue that the systems share common mechanisms, and efficacy may be improved by cross-fertilizing relevant features and concepts. We draw on the Health Informatics and Implementation Science literature to argue that common mechanisms include functions typically associated with the other system, in addition to other features that may prove fruitful for further research.
Inside the Black Box of Audit and Feedback: a Laboratory Study to Explore Determinants of Improvement Target Selection by Healthcare Professionals in Cardiac Rehabilitation
Authors: Gude Wouter T.  , van der Veer Sabine N.  , van Engen-Verheul Mariëtte M.  , de Keizer Nicolette F.  , Peek Niels
Published: February 2025

Audit and feedback (A&F) is widely used to aid healthcare professionals in improving clinical performance, but there is little understanding of the underlying mechanism that determines its effectiveness. The aim of this paper is to investigate the process by which healthcare professionals select indicators as improvement targets based on A&F. We performed a laboratory study among 41 healthcare professionals in the context of a web-based A&F intervention designed to improve the quality of cardiac rehabilitation care in the Netherlands. Feedback was provided on eighteen quality indicators, including a score and a colour (representing a recommendation for selection (red and yellow) or non-selection (green)). Indicators with more room for improvement were more likely to be selected, although this varied substantially between participants. In more than a quarter of the cases, participants did not select indicators with obvious room for improvement (yellow or red colour), or selected indicators without apparent room for improvement (green colour). We conclude that personal preferences and beliefs concerning quality and performance targets may dilute the efficiency of A&F.
Using Patient Journey Modelling to Visualise the Impact of Policy Change on Patient Flow in Community Care
Authors: Sayvong Rosemary  , Curry Joanne
Published: February 2025

Health policy plays a crucial role in community care, particularly within care programs such as ComPacks. ComPacks is a short-term care program administered by New South Wales (NSW) department of health which runs for up to 6-weeks and its goal is to prevent or minimise hospital readmission. Compliance to the ComPacks health policies is required in order to gain financial support from overnment bodies, however when the Government makes changes to service policies, this may potentially cause ripple effects to the workflow of the service and increase pressures on care providers, which in turn may affect the patient. Utilising a multi-layer visualisation tool can help identify whether changes made to policy are impacting patient flow in a positive or negative way. This research study investigates the use of an emerging patient journey modelling technique to better understand service design in a community care setting, whilst also determining the impact of State-level policy interventions.
Building Comprehensive and Sustainable Health Informatics Institutions in Developing Countries: Moi University Experience
Authors: Were Martin C.  , Siika Abraham  , Ayuo Paul O.  , Atwoli Lukoye  , Esamai Fabian
Published: February 2025

Current approaches for capacity building in Health Informatics (HI) in developing countries mostly focus on training, and often rely on support from foreign entities. In this paper, we describe a comprehensive and multidimensional capacity-building framework by Lansang & Dennis, and its application for HI capacity building as implemented in a higher-education institution in Kenya. This framework incorporates training, learning-by-doing, partnerships, and centers of excellence. At Moi University (Kenya), the training dimensions include an accredited Masters in HI Program, PhD in HI, and HI short courses. Learning-by-doing occurs through work within MOH facilities at the AMPATH care and treatment program serving 3 million people. Moi University has formed strategic HI partnerships with Regenstrief Institute, Inc. (USA), University of Bergen (Norway), and Makerere University (Uganda), among others. The University has also created an Institute of Biomedical Informatics to serve as an HI Center of Excellence in the region. This Institute has divisions in Training, Research, Service and Administration. The HI capacity-building approach by Moi provides a model for adoption by other institutions in resource-limited settings.
CA
Authors: Santos Flávio Arthur O.  , Júnior Carlos Augusto E. M.  , Teixeira Macedo Hendrik  , Chella Marco T.  , do Nascimento Givigi Rosana C.  , Barbosa Luciano
Published: February 2025

This paper presents CA2JU, a hardware/software tool that aims to help individuals with severe speech or language problems in their communication in order to promote their social and digital inclusion. CA2JU is composed of two applications: CA2JU Accelerated, which makes typing faster by suggesting potential words to the user; and CA2JU Illustrated, which automatically converts a sentence of words into a sequence of pictographic symbols, allowing a user familiar with the symbols to verify whether the written sentence is correct. We have implemented, evaluated in a controlled scenario, and deployed CA2JU in a real environment with children with cerebral palsy. In the controlled settings, the results confirm CA2JU Accelerated speed up typing by reducing the number of clicks made by users, and CA2JU Illustrated obtained high accuracy by suggesting the correct pictograms from sentences. In the real scenario, the two use cases show that the children improved their communication and linguistic abilities.
Do interoperable national information systems enhance availability of data to assess the effect of scale-up of HIV services on health workforce deployment in resource-limited countries?
Authors: Oluoch Tom  , Muturi David  , Kiriinya Rose  , Waruru Anthony  , Lanyo Kevin  , Nguni Robert  , Ojwang James  , Waters Keith P.  , Richards Janise
Published: February 2025

Sub-Saharan Africa (SSA) bears the heaviest burden of the HIV epidemic. Health workers play a critical role in the scale-up of HIV programs. SSA also has the weakest information and communication technology (ICT) infrastructure globally. Implementing interoperable national health information systems (HIS) is a challenge, even in developed countries. Countries in resource-limited settings have yet to demonstrate that interoperable systems can be achieved, and can improve quality of healthcare through enhanced data availability and use in the deployment of the health workforce. We established interoperable HIS integrating a Master Facility List (MFL), District Health Information Software (DHIS2), and Human Resources Information Systems (HRIS) through application programmers interfaces (API). We abstracted data on HIV care, health workers deployment, and health facilities geo-coordinates. Over 95% of data elements were exchanged between the MFL-DHIS and HRIS-DHIS. The correlation between the number of HIV-positive clients and nurses and clinical officers in 2013 was R2=0.251 and R2=0.261 respectively. Wrong MFL codes, data type mis-match and hyphens in legacy data were key causes of data transmission errors. Lack of information exchange standards for aggregate data made programming time-consuming.
Development and preliminary validation of a dynamic, patient-tailored method to detect abnormal laboratory test results
Authors: Fraccaro Paolo  , Brown Benjamin  , Prosperi Mattia  , Sperrin Matthew  , Buchan Iain  , Peek Niels
Published: February 2025

Laboratory test results in primary care are flagged as ‘abnormal’ when they fall outside a population-based Reference Interval (RI), typically generating many alerts with a low specificity. In order to decrease alert frequency while retaining clinical relevance, we developed a method to assess dynamic, patient-tailored RIs based on mixed-effects linear regression models. Potassium test results from primary care were used as proof-of-concept test bed. Clinical relevance was assessed via a survey administered to general practitioners (GPs). Overall, the dynamic, patient-tailored method and the combination of both methods flagged 20% and 36% fewer values as abnormal than the population-based method. Nineteen out of 43 invited GPs (44%) completed the survey. The population-based method yielded a better sensitivity than the patient-tailored and the combined methods (0.51 vs 0.41 and 0.38, respectively) but a lower PPV (0.66 vs 0.67 and 0.76, respectively). We conclude that a combination of population-based and patient-tailored RIs can improve the detection of abnormal laboratory results. We suggest that lab values outside both RIs be flagged with high priority in clinical practice.
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach
Authors: Ngufor Che  , Murphree Dennis  , Upadhyaya Sudhindra  , Madde Nageswar  , Kor Daryl  , Pathak Jyotishman
Published: February 2025

Perioperative bleeding (PB) is associated with increased patient morbidity and mortality, and results in substantial health care resource utilization. To assess bleeding risk, a routine practice in most centers is to use indicators such as elevated values of the International Normalized Ratio (INR). For patients with elevated INR, the routine therapy option is plasma transfusion. However, the predictive accuracy of INR and the value of plasma transfusion still remains unclear. Accurate methods are therefore needed to identify early the patients with increased risk of bleeding. The goal of this work is to apply advanced machine learning methods to study the relationship between preoperative plasma transfusion (PPT) and PB in patients with elevated INR undergoing noncardiac surgery. The problem is cast under the framework of causal inference where robust meaningful measures to quantify the effect of PPT on PB are estimated. Results show that both machine learning and standard statistical methods generally agree that PPT negatively impacts PB and other important patient outcomes. However, machine learning methods show significant results, and machine learning boosting methods are found to make less errors in predicting PB.
Generating and Executing Complex Natural Language Queries across Linked Data
Authors: Hamon Thierry  , Mougin Fleur  , Grabar Natalia
Published: February 2025

With the recent and intensive research in the biomedical area, the knowledge accumulated is disseminated through various knowledge bases. Links between these knowledge bases are needed in order to use them jointly. Linked Data, SPARQL language, and interfaces in Natural Language question-answering provide interesting solutions for querying such knowledge bases. We propose a method for translating natural language questions in SPARQL queries. We use Natural Language Processing tools, semantic resources, and the RDF triples description. The method is designed on 50 questions over 3 biomedical knowledge bases, and evaluated on 27 questions. It achieves 0.78 F-measure on the test set. The method for translating natural language questions into SPARQL queries is implemented as Perl module available at http://search.cpan.org/ thhamon/RDF-NLP-SPARQLQuery
A Process for the Representation of openEHR ADL Archetypes in OWL Ontologies
Authors: Porn Alex Mateus  , Peres Leticia Mara  , Didonet Del Fabro Marcos
Published: February 2025

ADL is a formal language to express archetypes, independent of standards or domain. However, its specification is not precise enough in relation to the specialization and semantic of archetypes, presenting difficulties in implementation and a few available tools. Archetypes may be implemented using other languages such as XML or OWL, increasing integration with Semantic Web tools. Exchanging and transforming data can be better implemented with semantics oriented models, for example using OWL which is a language to define and instantiate Web ontologies defined by W3C. OWL permits defining significant, detailed, precise and consistent distinctions among classes, properties and relations by the user, ensuring the consistency of knowledge than using ADL techniques. This paper presents a process of an openEHR ADL archetypes representation in OWL ontologies. This process consists of ADL archetypes conversion in OWL ontologies and validation of OWL resultant ontologies using the mutation test.
vizHOME - A context-based home assessment: Preliminary implications for informatics
Authors: Casper Gail R.  , Flatley Brennan Patricia  , Perreault Jesse O.  , Marvin Alex G.
Published: February 2025

The rapid migration of health care from the institution to the home presents a plethora of consumer health technology options.. The fit of these technologies to the users' actual task performance and environment remains to be explored. In the vizHOME study, we set out to conduct in-depth analyses of health information management tasks conducted by individuals residing in 20 homes in the Midwestern United States who self-reported with diabetes. This paper will explore early results from five of the 13 assessments we have performed to-date. Early observations are described and implications for informatics are posited.
The Use of Applications in Distance Education Specialization Course as a Support Tool for Students Living in Remote Areas Without Internet
Authors: Oliveira Ana Emília F.  , França Rômulo M.  , Castro Júnior Eurides F.  , Baesse Deborah C. L.  , Maia Mariana F. L.  , Ferreira Elza B.
Published: February 2025

The world is experiencing the popularization of mobile devices. This was made possible by the increasing technological advances and the advent of the Internet as a communication and information tool. These facts demonstrate that the development of applications compatible with such devices is an effective way to provide content to diverse audiences. In the educational field, these devices can be seen as technological support artifacts for distance education, serving as strategy for continuous and permanent education for health professionals. The Open University of Brazilian National Health System (UNA-SUS) offers distance learning courses, including specializating on free access. In order to increase the public reach, UNA-SUS developed mobile applications as supporting material for students. These applications can be accessed in offline mode, increasing the accessibility and therefore, improving the efficiency of the material. The 28 applications developed with responsive online books format currently reached the milestone of over 6,000 downloads. This number shows the positive acceptance of the format used, accentuated by the ease of having material downloaded from the device, not requiring the user to be connected to access content.
Using Electronic Medical Record Data to Improve HIV Patient Monitoring, Clinical Decision-Making, and Quality Improvement: Lessons from Rwanda
Authors: Karema Nadine  , Manzi Anatole  , Gaju Erick  , Kayiganwa Michèle  , Remera Eric  , Nshimyiryo Alphonse  , Niyibizi Gad  , Dukuze Adeline  , Gupta Neil  , Amoroso Cheryl
Published: February 2025

In developing countries, clinical guidelines and patient follow-up are primarily paper-based. We describe the use of Electronic Medical Record data for evidence-based clinical decisions and improved HIV patients monitoring in rural Rwanda.
The EU-project United4Health: User-Centred Design and Evaluation of a Collaborative Information System for a Norwegian Telehealth Service
Authors: Smaradottir Berglind  , Gerdes Martin  , Martinez Santiago  , Fensli Rune
Published: February 2025

This study presents the user-centred design and evaluation process of a Collaborative Information System (CIS), developed for a new telehealth service for remote monitoring of chronic obstructive pulmonary disease patients after hospital discharge. The CIS was designed based on the information gathered in a workshop, where target end-users described the context of use, a telehealth workflow and their preferred ways of interaction with the solution. Evaluation of the iterative refinements were made through user tests, semi-structured interviews and a questionnaire. A field trial reported results on the ease of use and user satisfaction during the interaction with the fully developed system. The implemented CIS was successfully deployed within the secured Norwegian Health Network. The research was a result of cooperation between international partners within the EU FP7 project United4Health.
A Global Analysis of Approaches to Sharing Clinical Data with Patients
Authors: Prey Jennifer E.  , Polubriaginof Fernanda  , Kuperman Gilad J.  , Tiase Victoria  , Collins Sarah A.  , Vawdrey David K.
Published: February 2025

Engaging patients in their care has become a topic of increasing importance, and enabling patients to have access to their clinical data is a key aspect of such engagement. To investigate on an international scale the current state of approaches for providing patients with access to their own clinical information, individuals from 16 countries, across six continents, participated in cross-sectional semi-structured interviews. Interview questions focused on social and cultural influences that affected patient engagement activities, government support for current and planned initiatives, data ownership models, and technical issues. Substantive initiatives for providing information to patients in the majority of countries interviewed are present; however, these initiatives were diverse in nature and stage of implementation. Efforts to improve patient access to data are active on a global-scale. There are many open questions about best practices and much can be learned by adopting an international perspective to guide future implementation efforts.
The Impact of an Electronic Medical Record on Repeat Laboratory Test Ordering Across Four Australian Hospitals
Authors: Georgiou Andrew  , Vecellio Elia  , Li Ling  , Westbrook Johanna I.
Published: February 2025

In this study we examined the impact of an Electronic Medical Record (EMR) on repeat test rates (i.e., the same test ordered within a specified window of time) for a commonly ordered set of laboratory tests; Electrolytes, Urea, Creatinine [EUC], Full Blood Counts [FBC] and Liver Function Tests [LFT]. The results point to the potential that timely, evidence-based electronic decision support features can have on the efficiency and effectiveness of the pathology laboratory process and its contribution to quality patient care.
Implementation of Data Drive Heart Rate and Respiratory Rate parameters on a Pediatric Acute Care Unit
Authors: Goel Veena  , Poole Sarah  , Kipps Alaina  , Palma Jonathan  , Platchek Terry  , Pageler Natalie  , Longhurst Christopher  , Sharek Paul
Published: February 2025

The majority of hospital physiologic monitor alarms are not clinically actionable and contribute to alarm fatigue. In 2014, The Joint Commission declared alarm safety as a National Patient Safety Goal and urged prompt action by hospitals to mitigate the issue [1]. It has been demonstrated that vital signs in hospitalized children are quite different from currently accepted reference ranges [2]. Implementation of data-driven, age stratified vital sign parameters (Table 1) for alarms in this patient population could reduce alarm frequency.
Methodology to Establish Associations between Data and Clinical Assessment for Computerized Nursing Process in Intensive Care Units
Authors: Couto Carvalho Barra Daniela  , Marcon Dal Sasso Grace Teresinha  , Paese Fernanda
Published: February 2025

Combining the Information and Communication Technologies (ICT) in the Nursing Process (NP) is a way to support their development in health contexts. The alliance between ICT and the NP integrates and organizes a logical structure of data and clinical information supporting nurses in decision-making. This manuscript describes the methodology used to articulate data and information cynical of Computerized Nursing Process (CNP), according to ICNP® 2.0, associating detailed clinical assessment of each human system to their diagnoses, interventions, and patient outcomes. This is a methodological study and technological production conducted in 2010, and is developed in three stages. It was possible to restructure the CNP from the associations between the data and clinical information of all human systems (cardiovascular, neurological, respiratory, renal, gastrointestinal, cutaneous, musculoskeletal, female/male and biopsychosocial) to their diagnoses, interventions, and results of Nursing.
A Scalable Architecture for Rule Engine Based Clinical Decision Support Systems
Authors: Chattopadhyay Soumi  , Banerjee Ansuman  , Banerjee Nilanjan
Published: February 2025

Clinical Decision Support systems (CDSS) have reached a fair level of sophistication and have emerged as the popular system of choice for their aid in clinical decision making. These decision support systems are based on rule engines navigate through a repertoire of clinical rules and multitudes of facts to assist a clinical expert to decide on the set of actuations in response to a medical situation. In this paper, we present the design of a scalable architecture for a rule engine based clinical decision system.
Diffusion of innovation: Telehealth for care at home
Authors: Levy Sharon
Published: February 2025

The ‘care at home’ study focused on a Scottish telehealth service, which was designed to support children with palliative and complex care needs. Using the diffusion of innovation theory, this poster highlights the differences between the way telehealth is used in the public sector and in a third sector or a voluntary organization. Analysis of the data, taken from interviews with key stakeholders, illuminate barriers and solutions as noted by clinicians who see the clear benefits and potential risks of telehealth use at home. In conclusion, it is argued that a strategic steer towards a culture of innovation is needed to support effective use of telehealth in clinical practice. Senior managers in the National Health Service in the United Kingdom need to ‘unleash’ the goodwill of staff who are eager to exploit innovation in clinical practice.
Communication problems between end-users and technicians through a Help Desk in a Health Information System
Authors: Garcia Gabriela  , Bertoia Agustina  , Cameselle Leonel  , Benitez Sonia  , Giunta Diego  , Baum Analía  , Gonzalez Bernaldo de Quiros Fernán
Published: February 2025

Communication between users and technicians is crucial for improving Help Desk performance. The objective of this study is to know and understand perceptions, and needs of users and help desk technicians. A qualitative study based on interviews was performed. The emergent topics were communication, workload and misperceptions between end-users and technicians. There are false perceptions between them that affect their interaction and work dynamics.
Are mainstream mobile technologies bringing about new opportunities for people with disabilities? Insights from three case studies
Authors: Gower Valerio  , Salatino Claudia  , Pigini Lucia  , Caracciolo Antonio
Published: February 2025

The market of mobile technologies has considerably increased in the past few years and the costs have consequently decreased. This rapid technological evolution can be seen in two different ways from the perspective of people with disability: on the one side it represents a great opportunity to create new solutions for improving independence; on the other it may represent a source of social exclusion if appropriate assistive solutions are not available to make technology usable by people with disability. This paper describe three case studies of persons with disabilities that have undergone an Assistive Technology assessment at the DAT service of Fondazione Don Gnocchi (Milan, Italy) involving the use of mobile ICT based Assistive Technologies. In all the three cases the appropriate solution for performing the desired activities is represented by a combination of mainstream products and assistive products. The three use cases described support the idea that mobile technologies can be powerful and versatile instruments to create assistive solutions for improving independence in daily life.
Stepwise Approach to Accessible MOOC Development
Authors: Draffan E.A.  , Wald Mike  , Dickens Kate  , Zimmermann Gottfried  , Kelle Sebastian  , Miesenberger Klaus  , Petz Andrea
Published: February 2025

Developing resources for online learning in its many guises and more recently for MOOCs has been discussed across the educational sector, usually by individuals working for one institution or organisation. Rarely are there discussions that highlight the issues of collaborative working on content that is delivered over a period of weeks for a wide range of abilities and skills. In particular there is a reluctance to face the issues presented by barriers to access for those with disabilities and even the issues that could arise should an academic be unable to access the development platform to present content. This paper aims to approach these issues by providing guidance in a series of practical steps that highlight an inclusive design approach.
How to live independently with or without technology?
Authors: Kärki Anne  , Sallinen Merja  , Kuusinen Jere
Published: February 2025

This qualitative study aims to identify how Finnish elderly, aged 65–82, consider technology as part of their life and how the learning of using technology is happening. Thematic interviews were carried out and transcribed to text. Content analysis was done and common elements were found. The analysis was done in researcher triangulation to enhance the reliability of the data extraction. Two main categories were named: lived life and the role of ICT/ICT AT, ICT support and education. We can conclude that the results showed that there is a need to integrate ICT/ICT AT education into the daily life and rehabilitation of elderly. The most common need to use ICT is to be connected and to be able to follow the society. Also open discussion is needed concerning the divide between older and younger citizens. Based on the results the non-users who don't want to use technology also need to be considered in society by developing new service solutions for all. If being positive towards using technology this study showed that ICT skills can positively affect feeling of self-determination and quality of life.
Distributed cognition, dementia, and technology
Authors: Alm Norman
Published: February 2025

The devastating effects of dementia result from cognitive degradation, in particular, working-memory (short-term memory) and planning processes. In supporting people with dementia, carers must take over these cognitive functions on behalf of the other person. This is an exhausting job. Technology may be able to offer assistance here. Its development will be encouraged by viewing cognition as a distributed process, and not just as something that happens inside one person's head. This paper argues for this approach, with examples from existing technical and non-technical systems of support for people with dementia which have been proven to work.
Beyond qualitative and subjective techniques to assess usability of banking interfaces for senior citizens
Authors: Laparra-Hernández José  , Medina Enric  , Sancho María  , Soriano Carolina  , Durá Juanvi  , Barberà-Guillem Ricard  , Poveda-Puente Rakel
Published: February 2025

Senior citizens can benefit from banking services but the lack of usability hampers this possibility. New approaches based on physiological response, eye tracking and user movement analysis can provide more information during interface interaction. This research shows the differences depending on user knowledge and use of technology, gender and type of interface.
Locating assistive technology research in a clinical setting: an occupational perspective
Authors: Fowler-Davis Sally  , Evans Laura  , Cudd Peter
Published: February 2025

Peer research was used to identify the experience and perceptions of assistive technology and telecare adoption in a UK healthcare context. A narrative account of participation and learning is intended to provoke further dialogue. There have been a range of policy and implementation initiatives that are within the direct experience of organisational actors over the last 15 years and this engagement allows for specific reflection on the service achievements and some of the barriers to implementation of technology changes in rehabilitation practice and service design. Insights are presented that suggest a reification of research priorities and a need to align technology, through patient and public engagement, to provider priorities. In addition, an improvement in adoption would be based on sustained capacity building within the Occupational Therapy workforce and a re-focus on specific knowledge sharing and learning about technology. Given the shared desire to promote the sustained adoption of appropriate technology for assistance and rehabilitation it is suggested the voice of practitioners is strengthened through research and knowledge exchange in the clinical setting.
Developing movement therapy application with Microsoft Kinect control for supporting stroke rehabilitation
Authors: Mintal Flavian A.  , Szucs Veronika  , Sik-Lanyi Cecília
Published: February 2025

The topic of this article and work was to create an application for movement therapy, which can help the rehabilitation of stroke patients. The application makes it possible to make unique exercises for different patients, adapting to the special personal needs. The developed real time gesture analyzing algorithm works in the background of the application, which has not yet spread on the field of medical devices. I deal with one part of this wide field in my dissertation, with the rehabilitation gesture analyzing. The data received from the Kinect sensor is processed by a location based gesture analyzing algorithm, and the results show that the software is suitable for the improvement of the rehabilitation process. It was a key aspect to create a simple interface. I achieved this with the use of the C# language and WPF technology.
A Participatory Research Approach to develop an Arabic Symbol Dictionary
Authors: Draffan E.A.  , Kadous Amatullah  , Idris Amal  , Banes David  , Zeinoun Nadine  , Wald Mike  , Halabi Nawar
Published: February 2025

The purpose of the Arabic Symbol Dictionary research discussed in this paper, is to provide a resource of culturally, environmentally and linguistically suitable symbols to aid communication and literacy skills. A participatory approach with the use of online social media and a bespoke symbol management system has been established to enhance the process of matching a user based Arabic and English core vocabulary with appropriate imagery. Participants including AAC users, their families, carers, teachers and therapists who have been involved in the research from the outset, collating the vocabularies, debating cultural nuances for symbols and critiquing the design of technologies for selection procedures. The positive reaction of those who have voted on the symbols with requests for early use have justified the iterative nature of the methodologies used for this part of the project. However, constant re-evaluation will be necessary and in depth analysis of all the data received has yet to be completed.
Possibilities of the ErgoScope high fidelity work simulator in skill assessment, skill development and vocational aptitude tests of physically disabled persons
Authors: Izsó Lajos  , Székely Ildikó  , Dános László
Published: February 2025

The aim of this paper – based on the extensive experiences of the authors gained by using one particular work simulator – is to present some promising possibilities of the application of this (and any other similar) work simulator in the field of skill assessment, skill development and vocational aptitude tests of physically disabled persons. During skill assessment and development, as parts of the therapy, the focus is on the disabled functions. During vocational aptitude tests, however, the focus is already on the functions that remained intact and therefore can be the basis of returning to work. Some factual examples are provided to realize the proposed possibilities in practice.
RelaxedCare – Connecting people in care situations: User involvement to collect informal caregivers needs
Authors: Uhr Marcel B.F.  , Redel Bianca  , Biallas Martin  , Andrushevich Aliaksei  , Morandell Martin  , Dittenberger Sandra  , Koscher Andrea
Published: February 2025

“How is my mom doing right now?” Answering this question in a quick, clear way without the need of calling or stopping by could take away a lot of stress from informal caregivers. The RelaxedCare system aims to develop a solution built upon an existing AAL platform, using a multi-level pattern recognition approach to detect the current state of an assisted person, and then to communicate the state in a pervasive and unobtrusive way (i.e. lava lamp, smartphone widget, picture frame) to the caregiver. For the development of the RelaxedCare system a user centred design approach has been chosen applying especially the ISO 9241-210 [3] and the user-inspired innovation process [2]. A first technical prototype was evaluated with representative end users in lab trials via usability testing to find out, how the generated ideas match with the end user needs. The results show that the project is on the correct path. The majority of participants approved, that the RelaxedCare system supports the informal caregiver in a worry-free way to care for the assisted person (thus allowing the older generation to live longer in their own homes). 19 of 25 participants felt an advantage by using the system in their care situation in general. Overall 18 of them rate the advantage of the usage at home positively and 20 of them rate the usage positively, if they use it on the way. Also interesting is that in total 19 participants could imagine, that there would be an improvement of the care situation for their own family through the RelaxedCare system.
Effect of Tire Pressure to Physical Workload at Operating a Manual Wheelchair
Authors: Booka Masayuki  , Yoneda Ikuo  , Hashizume Tsutomu  , Lee Hokyoo  , Oku Hidehisa  , Fujisawa Shoichiro
Published: February 2025

It is often experienced that low tire pressure of the wheelchair not only increases running resistance, but also reduces parking brake performance. In this study, the required driving forces for different tire pressures were experimentally measured and evaluated. It was indicated from the result that the wheelchair with proper tire pressure could be run with less workload of wheelchair-user. Then it was also indicated that the wheelchair with a lower tire pressure needed more workload of wheelchair-user even on hard level surface.
A Sequential Data Analysis Approach to Electronic Health Record Workflow
Authors: Kaufman David R.  , Furniss Stephanie K.  , Grando Maria Adela  , Larson David W.  , Burton Matthew M.
Published: February 2025

Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.