bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of DEM to analyse incremental strains along localizations in granular materials
Authors: O'Sullivan Catherine  , Bray Jonathan D.
Published: February 2025

Developing an understanding of the relationship between dilation along shear bands and shear strength of soil has been the focus of much research in soil mechanics. While significant insight has been achieved using photographic techniques and X-ray methods, the accuracy and resolution of these measurements are limited. Discrete element methods are convenient tools to analyse the evolution of localizations in granular materials in some detail. The current paper describes the use of the distinct element method to quantify the incremental volumetric and shear strains along localizations in dense granular materials during compression tests. For idealized granular materials comprising uniform disks or spheres in regular packing arrangements, the incremental strains are relatively uniform along the shear band. There is also a clear correlation between the incremental volumetric strains along the localization and the macro-scale response. For irregular, non-uniform specimens this correlation is less clear and the incremental strains along the localization are highly non-uniform, with both contraction and dilation being observed within the zone of localization during a single increment of axial strain.
Personalised Multi-Criterial Online Decision Support for Siblings Considering Stem Cell Donation: An Interactive Aid
Authors: Kaltoft Mette Kjer  , Salkeld Glenn  , Dowie Jack
Published: February 2025

Person-centred decision support combines the best available information on the considerations that matter to the individual, with the importance the person attaches to those considerations. Nurses and other health professionals can benefit from being able to draw on this support within a clinical conversation. A case
Enhancing Patient Safety Using Clinical Nursing Data: A Pilot Study
Authors: Choi Jeeyae  , Choi Jeungok E.
Published: February 2025

To enhance patient safety from falls, many hospital information systems have been implemented to collect clinical data from the bedside and have used the information to improve fall prevention care. However, most of them use administrative data not clinical nursing data. This necessitated the development of a web-based Nursing Practice and Research Information Management System (NPRIMS) that processes clinical nursing data to measure nurses' delivery of fall prevention care and its impact on patient outcomes. This pilot study developed computer algorithms based on a falls prevention protocol and programmed the prototype NPRIMS. It successfully measured the performance of nursing care delivered and its impact on patient outcomes using clinical nursing data from the study site. Results of the study revealed that NPRIMS has the potential to pinpoint components of nursing processes that are in need of improvement for preventing patient from falls.
A Survey on the Willingness to Use Physical Activity Smartphone Applications (Apps) in Patients with Chronic Diseases
Authors: Sun Liu  , Jiao Chen  , Wang Yanling  , Xiao Qian  , Zhang Yiling  , Wu Ying
Published: February 2025

This study aimed to explore the willingness of using physical activity smartphone apps among patients with chronic diseases. 218 outpatients from a tertiary hospital in Beijing were involved using a questionnaire. Over half of the patients (53.7%) were willing to use smartphone apps to promote physical activities. The individuals more likely to use physical activity apps tended to be younger (≤44 years), be more educated, perceiving their disease need exercise instruction or professional support, current smartphone user, having previous experience of using physical activity apps, and accepting paid apps (P<0.05). The results could help health educator suggest chronic disease patients to use apps to do more exercises. Further research could be focus on evaluate the effects of using physical activity apps in chronic disease patients.
Wearable Technology Surveillance Data for the Personal Health Record Using the Omaha System: Noise Exposure, Cardiovascular and Stress Biomarkers
Authors: Kerr Madeleine J.  , Chin Dal Lae  , Monsen Karen A.  , Hong OiSaeng
Published: February 2025

This poster describes a method to prepare noise and health data from wearable technology for standardized representation in the electronic personal health record thus enabling individuals to identify noise-related health risks. Using a case study approach, the authors demonstrate transformation of data to the Omaha System standardized terminology in order to depict the data graphically in a personal health record.
Proposal of Comprehensive Model of Teaching Basic Nursing Skills Under Goal-Based Scenario Theory
Authors: Sannomiya Yuri  , Muranaka Yoko  , Teraoka Misako  , Suzuki Sayuri  , Saito Yukie  , Yamato Hiromi  , Ishii Mariko
Published: February 2025

The purpose of this study is to design and develop a comprehensive model of teaching basic nursing skills on GBS theory and Four-Stage Performance Cycle. We designed a basic nursing skill program that consists of three courses: basic, application and multi-tasking. The program will be offered as blended study, utilizing e-learning.
Using Model of Clinic Care Classification in Clinical Nursing Information System
Authors: Huang Hui Ling  , Lee Cheng Yuan  , Chuang Pei Lung  , Hsu Chu Jung  , Chen Shu Chung
Published: February 2025

This article provides an example of the how to choose and use standardized nursing terminologies to build clinical nursing information system in the nursing process. In addition to describing the implement and apply clinic care classification (CCC) system, Evidence-based practice (EBP) and Clinical decision support systems (CDSS), by the nursing action automatic output nursing document.
The Development Process of eHealth Strategy for Nurses in Finland
Authors: Ahonen Outi  , Kouri Pirkko  , Kinnunen Ulla-Mari  , Junttila Kristiina  , Liljamo Pia  , Arifulla Dinah  , Saranto Kaija
Published: February 2025

Growing use of information and communication technology (ICT) demands have caused a need for nursing to strengthen the knowledge, skills and competences related to ICT in health (eHealth) and define its versatile roles. The Finnish Nurses Association (FNA) named a group of eHealth experts from various professional fields that are closely connected to nursing e.g. nursing practice, higher education, nursing research and administration. The main purpose was to describe nurses' contribution to the national strategy concerning eHealth development and implementation in health and social care. The group searched for answers, discussed strategic issues, wrote drafts, and sent texts for open commentary circles. The chosen themes of the eHealth strategies deal with the role of the client, nursing practice, ethical aspects education and eHealth competences, nursing leadership, knowledge management and research and development. The article describes the strategic work and the structure of eHealth strategy of nurses in Finland.
The Nursing Informatician's Role in Mediating Technology Related Health Literacies
Authors: Nelson Ramona  , Carter-Templeton Heather D.
Published: February 2025

The advent of computer based technology and the internet have not changed nurses' responsibility for patient education; but they are rapidly changing what we teach and how we teach. The challenge for nursing informaticians is to create innovative patient education models and applications with the goal of achieving literate, engaged, empowered and informed patients as well as preparing health professionals to maximize the advantages offered by digital media and other new technology based tools. This paper explores the interrelationship of basic literacy, health literacy and technology related literacies that provide the foundation for achieving these goals.
Development and Evaluation for Active Learning Instructional Design of Epidemiology in Nursing Informatics Field
Authors: Majima Yukie
Published: February 2025

Nursing education classes are classifiable into three types: lectures, classroom practice, and clinical practice. In this study, we implemented a class that incorporated elements of active learning, including clickers, minutes papers, quizzes, and group work and presentation, in the subject of “epidemiology”, which is often positioned in the field of nursing informatics and which is usually taught in conventional knowledge-transmission style lectures, to help students understand knowledge and achieve seven class goals. Results revealed that the average scores of the class achievement (five levels of evaluation) were 3.6–3.9, which was good overall. The highest average score of the evaluation of teaching materials by students (five levels of evaluation) was 4.6 for quizzes, followed by 4.2 for announcement of test statistics, 4.1 for clickers, and 4.0 for news presentation related to epidemiology. We regard these as useful tools for students to increase their motivation. One problem with the class was that it took time to organize the class: creation of tests, class preparation and marking, such as things to be returned and distribution of clickers, and writing comments on small papers.
Robotic Assistance in Medication Management: Development and Evaluation of a Prototype
Authors: Schweitzer Marco  , Hoerbst Alexander
Published: February 2025

An increasing number of elderly people and the prevalence of multimorbid conditions often lead to age-related problems for patients in handling their common polypharmaceutical, domestic everyday medication. Ambient Assisted Living therefore provides means to support an elderly's everyday life. In the present paper we investigated the viability of using a commercial mass-produced humanoid robot system to support the domestic medication of an elderly person. A prototypical software application based on the NAO-robot platform was implemented to remind the patient for drug intakes, check for drug-drug-interactions, document the compliance and assist through the complete process of individual medication. A technical and functional evaluation of the system in a laboratory setting revealed versatile and viable results, though further investigations are needed to examine the practical use in an applied field.
Development and Evaluation of an Adolescents' Depression Ontology for Analyzing Social Data
Authors: Jung Hyesil  , Park Hyeoun-Ae  , Song Tae-Min
Published: February 2025

This study aims to develop and evaluate an ontology for adolescents' depression to be used for collecting and analyzing social data. The ontology was developed according to the ‘ontology development 101’ methodology. Concepts were extracted from clinical practice guidelines and related literatures. The ontology is composed of five sub-ontologies which represent risk factors, sign and symptoms, measurement, diagnostic result and management care. The ontology was evaluated in four different ways: First, we examined the frequency of ontology concept appeared in social data; Second, the content coverage of ontology was evaluated by comparing ontology concepts with concepts extracted from the youth depression counseling records; Third, the structural and representational layer of the ontology were evaluated by 5 ontology and psychiatric nursing experts; Fourth, the scope of the ontology was examined by answering 59 competency questions. The ontology was improved by adding new concepts and synonyms and revising the level of structure.
Mobile and Wearable Technology Needs for Aging in Place: Perspectives from Older Adults and Their Caregivers and Providers
Authors: Wang Jing  , Carroll Deidra  , Peck Michelle  , Myneni Sahiti  , Gong Yang
Published: February 2025

There is an increasing number of wearable trackers and mobile devices in the burgeoning world of digital health, the purpose of the study is to explore the role of these mobile and wearable tools among older adults aging in place. We conducted a cross sectional study using individual interviews with older adults and surveys with their caregivers or providers. We interviewed 29 residents living in a retirement community, and surveyed 6 caregivers or providers. The older adults had an average age of 88 years, most did not express interests on technology and heavily relied on providers for health tracking, while their professional caregivers or providers saw a great need to access older adults' health information collected from these mobile and wearable tools. Educating the older old on the benefits of mobile and wearable tools may address such discrepancy on needs of adopting mobile and wearable tools for aging in place.
Panel: Big Data & Social Media for Empowering Patients with Diabetes
Authors: Fernandez-Luque Luis  , Mejova Yelena  , Mayer Miguel-Angel  , Hasvold Per Erlend  , Joshi Surabhi
Published: February 2025

Millions of people living with diabetes are using mobile phones, Internet and social media to socialize with other patients, share experience or search information relevant for their self-management. This phenomena is leading towards a new paradigm of hyper-connected diabetes digital self-management. This is also leading towards an explosion on data, a large amount of data is collected on populations around the world. This panel will address the opportunities this data presents, discuss the latest research that uses it, and the limitations and other concerns.
A Faculty Peer Network for Integrating Consumer Health Solutions in Nursing Education: Contextual Influences and Perspectives
Authors: Doyle Glynda
Published: February 2025

The Canadian Association of Schools of Nursing and Canada Health Infoway recently launched a national project to facilitate the integration of digital and consumer health solutions into undergraduate nursing programs across Canada. Led by eleven nursing faculty members with expertise in informatics, the Digital Health Nursing Faculty Peer Network provided a forum for mentorship and support to other nursing faculty (72) across Canada and facilitated the development of a number of strategies to advance the incorporation of digital health content into undergraduate nursing curricula (e.g., the creation of a Faculty Toolkit for teaching Consumer Health Solutions). In this panel presentation, contextual and regional influences as well as specific perspectives related to the experience of each of the panelists within the Faculty Peer Network project will be outlined and discussed.
Individual Nomad Clinical Assistant: Supporting Nurses at the Point of Care
Authors: Argentin Yvann  , Gluck Florent  , Lovis Christian  , Ehrler Frederic
Published: February 2025

Accessing patients' data at the point of care has the potential to ease the workflow of nurses and to improve the documentation. We have launched an initiative to develop a mobile assistant focused on managing nurses' daily intervention. The design has required the involvement of many stakeholder and has followed a user centered design process. The evaluation is planned in two stages with an increasing level of ecology. The solution is a client server application displaying a contextualized view on nurses' interventions. It allows to validate and comment each intervention presented as an item in a list. Deploying mobile client applications in healthcare is a challenging task not only from a technical point of view but also regarding organizational factors and human factors.
NI Continuing Education: Replicating a U.S. Model in Other Countries?
Authors: Bickford Carol J.
Published: February 2025

The need for nursing informatics continuing education is ongoing as informatics nurses and informatics nurse specialists are expected to be lifelong learners. This tutorial will explore how a very successful U.S. model, Weekend Immersion in Nursing Informatics (WINI), might be considered for replication in other countries. Details about the initial course design, presentation content outline, and sustainability will be shared. Participant input and discussion will be an integral component of this tutorial. The target audience includes informatics nurses, professional development and academic faculty, and those interprofessional informatics education programs.
How to Prepare a Nursing Informatics Conference Submission
Authors: Saranto Kaija  , Borycki Elizabeth M.  , Sarkar Indra Neil
Published: February 2025

This workshop aims to demystify the process of submitting papers to Nursing Informatics and MEDINFO Congresses for international authors. During the workshop the authors of this proposal will focus on the characteristics of NI and MEDINFO congresses, principles of scientific writing, requirements of submission formats, and criteria used for assessing submissions. The workshop will be of special interest to those who are planning on submitting a paper, poster, or workshop to future Nursing Informatics and MEDINFO conferences. As part of this the workshop, authors and participants will discuss and share their experiences in submitting papers to NI and MEDINFO conferences and the workshop authors will provide suggestions on how to improve the papers.
Healthcare Informatics Schemata: A Paradigm Shift over Time
Authors: Erdley W. Scott
Published: February 2025

The schemata “A paradigm shift over time©” (Sackett & Erdley, 2006) a graphic model, visualizes development and progression of informatics in health over time. The model portrays information technology trends, from computers as resource through computational ubiquity, and the shift to social networking and e-Health. The discrepancy between “real” and “proposed” suggests gaps involving issues such as value, interoperability and ontology requiring attention, development and ultimately adoption, hinging on a universal standards framework. The workshop objective is to review previous and current models of healthcare informatics to springboard revisions of the schemata for current and future use.
Development Needs of Electronic Nursing Discharge Summaries in Finland
Authors: Kuusisto Anne  , Asikainen Paula  , Saranto Kaija
Published: February 2025

In this study the development needs of Electronic Nursing Discharge summaries (ENDS) mentioned by nursing professionals are classified and addressed using the FITT model (“Fit between Individuals, Task and Technology”) framework.
Nursing Documentation: An Evaluation of an Action Research Project
Authors: Vabo Grete  , Slettebø Åshild  , Fossum Mariann
Published: February 2025

This abstract describes an evaluation of an action research project conducted to improve nursing documentation practice in four municipalities in Norway. In an explorative design, four focus group interviews and two individual interviews were conducted. The interview data were analyzed using content analysis. Three themes emerged: healthcare professionals perceived the documentation process as complicated; they experienced competing interests; and they highlighted a clear and visible leader as important for success. This study provides knowledge about the importance of collaboration and involvement of stakeholders when developing electronic health record systems.
Enhancing a Blood Transfusion Platform with Clinic Decision Support Component to Better Assure Patient Safety
Authors: Lai Hsiang-Fen  , Yeh Hui-Tzu  , Lee Wen Ray  , Hsiao Li-Chun  , Ho Hsin-Tsung  , Chang Polun
Published: February 2025

Blood transfusion is an important but complex and high-risky clinical procedure. Any error could cause serious injuries to patients. To better assure the procedure safety, we enhancing our home-made blood transfusion platform with new clinic decision support components to assure patient's identity and to inform clinicians of any event in time. So far, our transfusion incidence case has been reduced to 0 from 9 before the system implemented.
The Effectiveness of Peritoneal Dialysis System Implementation on Case Management
Authors: Cheng Ching-I  , Chiou Shwu-Fen
Published: February 2025

Peritoneal dialysis management system (PDS) is special design system to integrate all dialysis-related information for PD case managers. This study aims to investigate the impact of peritoneal dialysis system (PDS) implementation on the work efficacy of PD case managers. This study carried out in the PD unit of medical center in northern Taiwan. We utilized work sampling and chart reviews to compare the changes of work efficacy of PD case managers before and 3 months after PDS implementation.
Study on Synchronization of the Heart in a Nursing Art
Authors: Sakaki Soh  , Ishigame Atsushi  , Majima Yukie
Published: February 2025

Compared to rookie nurses, it is often said that a skilled nurse's injection is less degree of pain. The authors believe that the reason why the pain is reduced is because skilled nurses can make themselves relaxed and synchronize their state to the patients. So, if we can make people relaxed and synchronized intentionally by giving artificial stimulation, the technique will be so valuable not only in the inheritance of injection skills but also in various medical situations including the care of aged, nursing of infant and so on. In this paper, we focused on the synchronization of brain waves, and examined the method of inducing the relaxed state and the synchronization in brain waves of subjects by giving a vibratory stimulation.
Co-Operation and Co-Funding Networks in eHealth Research
Authors: Kokol Peter  , Blažun Vošner Helena  , Saranto Kaija
Published: February 2025

In our bibliometric study we were interested in development and global trends in information and communication technology resulted in the emergence of cooperation and co-funding networks in eHealth research. The corpus was formed from the Web of Science Core Collection using the search keyword string “eHealth” in information source titles, abstracts, and keywords for the time period 2005–2014. The study results show that the research in eHealth is globally dispersed, however most co-operation is performed on the local continent or country level. Most co-founding is done among pharmaceutical firms themselves, however Sanofi, Merck and Abbot also co-fund the same projects as funding agencies.
Co-Designing Mobile Apps to Assist in Clinical Nursing Education: A Study Protocol
Authors: O'Connor Siobhan  , Andrews Tom
Published: February 2025

Mobile applications (apps) to train health professionals is gaining momentum as the benefits of mobile learning (mLearning) are becoming apparent in complex clinical environments. However, most educational apps are generic, off-the-shelf pieces of software that do not take into consideration the unique needs of nursing students. The proposed study will apply a user-centred design process to create a tailored mobile app for nursing students to learn and apply clinical skills in practice. The app will be piloted and evaluated to understand how nursing students use mobile technology in clinical settings to support their learning and educational needs.
Using ADDIE Model to Develop a Nursing Information System Training Program for New Graduate Nurse
Authors: Lu Sheng-Chieh  , Cheng Yu-Chen  , Chan Pi-Tuan
Published: February 2025

This study is to develop a nursing information system (NIS) training program, and takes a local community teaching hospital in Taiwan for example. We adopt the ADDIE model to develop our NIS training program. We preliminaries followed the framework of the model to design a NIS training program, and implement it for the newcomers' training of nursing information system. After training course, the self-efficacy report has a significant (p<.000) improved compare to pre-test, and 88% of participants passed the pragmatic exam.
Factors Affecting Participation in the eRedBook: A Personal Child Health Record
Authors: O'Connor Siobhan  , Devlin Alison M.  , McGee-Lennon Marilyn  , Bouamrane Matt-Mouley  , O'Donnell Catherine A.  , Mair Frances S.
Published: February 2025

A personal child health record called the eRedBook was recently piloted in the United Kingdom. A qualitative exploratory case study was used to examine how public health nurses engaged or recruited parents and what factors hindered participation. Interviews and focus groups were conducted with those implementing the eRedBook and those taking part in the pilot study. A range of project documentation was also reviewed. Thematic analysis using the framework approach was applied to draw out themes. Numerous socio-technical factors such as the usability of the software, concerns over data protection and costs, poor digital literacy skills and a lack of Internet connectivity emerged. These barriers need to be addressed before the eRedBook is implemented nationwide.
Problems Faced by Nurses in Use of Electronic Health Records During Clinical Practice
Authors: Verma Medha  , Gupta Sandhya
Published: February 2025

The use of Electronic Health Record system still remains new to Indian health care settings.
An Innovative Use of Telepresence Robots for Educating Healthcare Professional
Authors: Molloy Margie  , Shaw Ryan J.  , Vaughn Jackie  , Hueckel Remi
Published: February 2025

Telehealth enhances communication across distances, facilitates teamwork, and increases access to care, particularly in rural areas. As the use of telehealth technology assimilates into clinical practice, its integration is also needed in clinical curricula. Students participated in 2 pediatric scenarios in teams of 3 to 4 prelicensure nursing students, with one nurse practitioner student participating via a telepresence robot. Forty-eight prelicensure and 5 nurse practitioner students completed surveys following the clinical simulations. We found that it was feasible to use a telepresence robot as a tool in clinical simulation, to introduce telehealth, and students reported high mean scores on the acceptability of using the robot. While there are challenges, incorporating telepresence technology into simulations opens up many opportunities to both engage students in telehealth with patients and other clinicians, and to engage students in their education when they are learning at a distance.
Education Methods for Improving the Ability to Use Nursing Information, with a Focus on Issues Related to the Role of the Head Nurse: A Post-Workshop Evaluation
Authors: Izumi Takako  , Majima Yukie
Published: February 2025

The use of information technology in medical setting is becoming increasingly prevalent; therefore, it is necessary to examine education methods that promote improvements among nursing professionals in the ability to use nursing information. With a focus on the role of the head nurse, the aim of this study, which consisted of two separately organized workshops, was to examine the effectiveness of behavior modification to resolve workplace issues identified by nursing professionals. After participating in these workshops, all nursing professionals demonstrated an increased ability to use nursing information and effectively resolve issues through behavior modification.
Design of a Hospital Simulation Software for Nursing Education
Authors: Cervi Gustavo Henrique  , Flores Cecília Dias  , Somensi Rute Merlo  , Caregnato Rita Catalina Aquino
Published: February 2025

This work aims to describe the inception and design for a hospital simulator based on data and cases provided by teachers and other randomized data. The main goal is to develop a computer software tool that simulates a hospital as a tool for nursing student. The system is based on a multi-agent model and multi threaded parallel processing. Other parts includes the interfaces for teacher and student, reports and fixed constraints like Laws and other rules. This is a work in progress project and will be released as open source software after the final validation.
Observations and Their Explanations
Authors: Masolo Claudio
Published: February 2025

We introduce a first-oder theory where observations are reified into the domain of quantification. Observations have an epistemological nature, they describe how the world appears, not as the world is. Our primitive notions allow to represent how some observations are explained in terms of more simple ones or how they are aggregated into macro-indexes. We analyze in detail the cases of measurement and testing where observations are collected through calibrated devices and eventually aggregated into scores. Our framework is based on a decoupling between the observations and the propositions that belong to the temporally qualified A-box. It allows contradictory observations, but it requires these disagreements to be resolved via a merging process that identifies, among the contradictory observations, the most plausible one that can then be safely transferred into the A-box.
A Molecular Structure Ontology for Medicinal Chemistry
Authors: Chui Carmen  , Grüninger Michael
Published: February 2025

The field of medicinal chemistry involves the design, synthesis, and development of new drugs that can be further enhanced with the application of ontologies. In this paper, we discuss the need for a molecular structure ontology to aid us in the task of drug discovery. We outline a requirements-driven approach that guides us in the design of the Molecular Structure Ontology (MoSt) by which we represent atoms, bonds, functional groups, and molecules as things in the ontology. Finally, we demonstrate how the ontology can be used to axiomatize small molecules like Daraprim.
Towards an Ontology of Value Ascription
Authors: Andersson Birger  , Guarino Nicola  , Johannesson Paul  , Livieri Barbara
Published: February 2025

The analysis of value, value ascription mechanisms, and their motivating and influencing factors is useful for decision making processes of both customers and providers. In particular, enterprise modeling can greatly benefit from a proper understanding of value-related notions. Nonetheless, existing value models mainly focus on the value exchange between subjects, disregarding the understanding of “what” value is and of “why” something is valuable. In order to exploit the benefits of value analysis, a precise and rigorous conceptualization, based on foundational ontologies, is needed. To this aim, we present and discuss here a preliminary core ontology of value ascription and we discuss the main issues.
Considering Collectives: Roles, Members and Goals
Authors: Wood Zena
Published: February 2025

There is a growing need across many disciplines to be able to model and reason about groups of individuals (i.e., collectives) resulting in an increased interest within the field of ontology. In previous work a taxonomy of collectives was presented that allowed a user to distinguish the different types of collectives. The taxonomy classified each collective according to five criteria: membership, coherence, location, differentiation of role and depth. However the taxonomy is found to be lacking in terms of: addressing how changes in membership affect the identity of the collective, recognising the importance of role, and its sensitivity to temporal scope. Drawing from existing research this paper discusses how a collective can only be sufficiently characterised by considering the relationship between a collective, its members, the roles that they play and the coherence criteria (i.e., the reason that we consider a phenomenon to be a collective). Preliminary updates are suggested for the taxonomy that will allow collectives to be sufficiently characterised.
Root Cause Analysis and Health Informatics
Authors: Jones Richard W.  , Despotou George
Published: February 2025

Root Cause Analysis (RCA) is the most widely used system analysis tool for investigating safety related incidents in healthcare. This contribution reviews RCA techniques, using a Health Informatics example, and discusses barriers to their successful uptake by healthcare organisations. It is concluded that a critical assessment to examine the uptake and evaluate the success of RCA, and other safety related techniques, within healthcare is long overdue.
Classification of Health Related Applications
Authors: Höhn Matthias  , von Jan Ute  , Framke Theodor  , Albrecht Urs-Vito
Published: February 2025

Although there is a large number of health related apps available in the stores of the major mobile platforms, the stores do not really offer clear definitions of what health related apps are and how they can be categorized. A similar picture is found in literature. Here, many proposals covering different app related aspects have been published, but often, these only cover a narrow field. There is no common terminology describing what health apps are and neither is there a common classification. In order to alleviate the situation, we developed a proposal for categorization that can be used as a basis for discussing aspects related to health applications and for describing the unclear situation on the market. In this paper, the function related aspects are covered, although the scheme itself covers many other aspects related to users of health apps, technical aspects and so on. This initial classification was applied to a sample of health apps available for iOS and Android.
Improving Timeliness of Diagnostic Healthcare Services: Effective Strategies and Recommendations
Authors: Khan Mustafa  , Khalid Parwaiz  , Almorsy Lamia  , Khalifa Mohamed
Published: February 2025

Timeliness and accessibility of healthcare services reflect system's capacity to provide care quickly after a need is recognized. King Faisal Specialist Hospital and Research Center in Jeddah, Saudi Arabia worked on improving timeliness of diagnostic electromyography and nerve conduction study for carpel tunnel syndrome and peripheral neuropathy patients to avoid significant treatment delay and potential complications. We identified causes of delayed appointments and implemented strategies to reduce it from 12 to 2 weeks. FOCUS PDCA approach as well as Pareto analysis were used to identify and target core issues then suggest effective strategies including improving staff productivity, enhancing teamwork coordination and motivating healthcare team stakeholders. The results show that 93% of appointments were made available in less than 2 weeks, compared to only 8% pre-improvement, no show rate reduced to 2% compared to 13% and total procedure volume was increased to 99 compared to 52 per month.
Managing the Quality of Life in Patients with Multiple Sclerosis: A Literature Review
Authors: Kefaliakos Antonios  , Pliakos Ioannis  , Diomidous Marianna
Published: February 2025

The present research attempts to approach a complex concept. The quality of life of multiple sclerosis patients. A literature review was conducted. Based on the finding, it seems that the quality of life for multiple sclerosis patients is influenced by many factors such as self-confidence, which is a direct result of self-ability and mobility, the stage of disease, the social relations as experienced by the patients and the risk of sudden substantial of health deterioration. In addition, telemedicine applications may help either the patients or the health professionals to manage better the provided quality of life to multiple sclerosis patients.
Exploring the Impact of Information Seeking Behaviors of Online Health Consumers in the Arab World
Authors: Bahkali Salwa  , Almaiman Reem  , El-Awad Mamoun  , Almohanna Huda  , Al-Surimi Khaled  , Househ Mowafa
Published: February 2025

In the Arab world, increasing numbers of people are seeking online health related information for diagnoses, medicine, fitness, pharmaceutical drugs, and smoking cessation programs, among others. Studies exploring the impact of social media channels on health seeking behavior among Arabic users are limited. This study has two goals: (1) describe the prevalence of online health information-seeking behavior in the Arab world, and (2) study the impacts of social media based platforms in helping promote healthy living in the Arab world. In order to gather primary data, a web-based cross-sectional survey with a total of 7013 self-administered questionnaires was sent via SMS messages (n=1278), to Twitter followers of an Arab women's health social media account (n=3630 followers), and WhatsApp messages (n=2105) to participants above 16 years of age representing different socioeconomic groups and within the Arabic speaking world. The findings of this study show high interest among the participants (84.9%) in seeking online health information. Furthermore, reporting online information had an impact on participant health behaviors. Social media can play an important role in strengthening the health care system to provide valuable information, educational programs and interventions to promote healthy life styles among the Arabic people.
Customized Monitoring and Interaction Devices in Virtual Environments for Upper Limb Rehabilitation After Brain Injury
Authors: Ontiveros-Ravell Julio  , Molina Fernando  , Almenara-Masbernat Maria  , Soriano Ignasi  , Opisso Eloy  , Hernando M. Elena  , Tormos Josep Maria  , Medina Josep  , Gómez Enrique J.
Published: February 2025

This paper introduces a new approach for upper limb neurorehabilitation based on customized devices for monitoring and interacting with virtual environments. A proof-of-concept test involving eight patients at the Guttmann Neurorehabilitation Hospital shows patient's good acceptance and usability scores and demonstrates the technically feasibility of the devices. The final goal is to achieve a more personalized, monitored, intensive and ecological rehabilitation procedures for ABI patients.
Promoting UV Exposure Awareness with Persuasive, Wearable Technologies
Authors: Hussain M. Sazzad  , Cripwell Liam  , Berkovsky Shlomo  , Freyne Jill
Published: February 2025

Current methods to promote awareness of the sun's ultraviolet (UV) radiation have focussed on delivering population level information and some location-based reporting of UV Index (UVI). However, diseases related to excessive (e.g. sunburn, skin cancer) or insufficient (e.g. vitamin D deficiency) exposure to sunlight still remain a global burden. The emergence of wearable sensors and the application of persuasive technology in health domains raise the possibility for technology to influence awareness of sufficient sun intake for vitamin D production, as well as preventing risk of skin damage. This paper presents a personalised solution to promote healthy, safe sun exposure using wearable devices and persuasive techniques.
Analysing Health Professionals' Learning Interactions in an Online Social Network: A Longitudinal Study
Authors: Li Xin  , Verspoor Karin  , Gray Kathleen  , Barnett Stephen
Published: February 2025

This paper summarises a longitudinal analysis of learning interactions occurring over three years among health professionals in an online social network. The study employs the techniques of Social Network Analysis (SNA) and statistical modeling to identify the changes in patterns of interaction over time and test associated structural network effects. SNA results indicate overall low participation in the network, although some participants became active over time and even led discussions. In particular, the analysis has shown that a change of lead contributor results in a change in learning interaction and network structure. The analysis of structural network effects demonstrates that the interaction dynamics slow down over time, indicating that interactions in the network are more stable. The health professionals may be reluctant to share knowledge and collaborate in groups but were interested in building personal learning networks or simply seeking information.
Mathematical Programming Models for Optimizing Partial-Order Plan Flexibility
Authors: Say Buser  , Cire Andre A.  , Beck J. Christopher
Published: February 2025

A partial-order plan (POP) compactly encodes a set of sequential plans that can be dynamically chosen by an agent at execution time. One natural measure of the quality of a POP is its flexibility, which is defined to be the total number of sequential plans it embodies (i.e., its linearizations). As this criteria is hard to optimize, existing work has instead optimized proxy functions that are correlated with the number of linearizations. In this paper, we develop and strengthen mixed-integer linear programming (MILP) models for three proxy functions: two from the POP literature and a third novel function based on the temporal flexibility criteria from the scheduling literature. We show theoretically and empirically that none of the three proxy measures dominate the others in terms of number of sequential plans. Compared to the state-of-the-art MaxSAT model for the problem, we empirically demonstrate that two of our MILP models result in equivalent or slightly better solution quality with savings of approximately one order of magnitude in computation time.
Leveraging Stratification in Twitter Sampling
Authors: Joshi Vikas  , P Deepak  , Subramaniam L.V.
Published: February 2025

With Tweet volumes reaching 500 million a day, sampling is inevitable for any application using Twitter data. Realizing this, data providers such as Twitter, Gnip and Boardreader license sampled data streams priced in accordance with the sample size. Big Data applications working with sampled data would be interested in working with a large enough sample that is representative of the universal dataset. Previous work focusing on the representativeness issue has considered ensuring that global occurrence rates of key terms, be reliably estimated from the sample. Present technology allows sample size estimation in accordance with probabilistic bounds on occurrence rates for the case of uniform random sampling. In this paper, we consider the problem of further improving sample size estimates by leveraging stratification in Twitter data. We analyze our estimates through an extensive study using simulations and real-world data, establishing the superiority of our method over uniform random sampling. Our work provides the technical know-how for data providers to expand their portfolio to include stratified sampled datasets, whereas applications are benefited by being able to monitor more topics/events at the same data and computing cost.
Solving Multi-Agent Knapsack Problems Using Incremental Approval Voting
Authors: Benabbou Nawal  , Perny Patrice
Published: February 2025

In this paper, we study approval voting for multi-agent knapsack problems under incomplete preference information. The agents consider the same set of feasible knapsacks, implicitly defined by a budget constraint, but they possibly diverge in the utilities they attach to items. Individual utilities being difficult to assess precisely and to compare, we collect approval statements on knapsacks from the agents with the aim of determining the optimal solutions by approval voting. We first propose a search procedure based on mixed-integer programming to explore the space of utilities compatible with the known part of preferences in order to determine or approximate the set of possible approval winners. Then, we propose an incremental procedure combining preference elicitation and search in order to determine the set of approval winners without requiring the full elicitation of the agents' preferences. Finally, the practical efficiency of these procedures is illustrated by various numerical tests.
Facility Location Games with Optional Preference
Authors: Yuan Hongning  , Wang Kai  , Fong Ken C.K.  , Zhang Yong  , Li Minming
Published: February 2025

In this paper, we propose the optional preference model for the facility location game with two heterogeneous facilities on a line. Agents in this new model are allowed to have optional preference, which gives more flexibility for agents to report. Aiming at minimizing maximum cost or sum cost of agents, we propose different deterministic strategy-proof mechanisms without monetary transfers. Depending on which facility the agent with optional preference cares for, we consider two variants of the optional preference model: Min (caring for the closer one) and Max (caring for the further one). For the Min variant, we propose a 2-approximation mechanism for the maximum cost objective, as well as a lower bound of 4/3, and a (n/2+1)-approximation mechanism for the sum cost objective, as well as a lower bound of 2. For Max variant, we propose an optimal mechanism for the maximum cost objective and a 2-approximation mechanism for the sum cost objective.
Identifying and Rewarding Subcrowds in Crowdsourcing
Authors: Liu Siyuan  , Fan Xiuyi  , Miao Chunyan
Published: February 2025

Identifying and rewarding truthful workers are key to the sustainability of crowdsourcing platforms. In this paper, we present a clustering based rewarding mechanism that rewards workers based on their truthfulness while accommodating the differences in workers' preferences. Experimental results show that the proposed approach can effectively discover subcrowds under various conditions, and truthful workers are better rewarded than less truthful ones.
Collective Future Orientation and Stock Markets
Authors: Hasanuzzaman Mohammed  , Sze Wai Leung  , Salim Mahammad Parvez  , Dias Gaël
Published: February 2025

Web search query logs can be used to track and, in some cases, anticipate the dynamics of individual behavior which is the smallest building block of the economy. We study AOL query logs and introduce a collective future intent index to measure the degree to which Internet users seek more information about the future than the past and the present. We have asked the question whether there is link between the collective future intent index and financial market fluctuations on a weekly time scale, and found a clear indication that the weekly transaction volume of S&P 500 index is correlated with the collective intent of the public to look forward.
Multi-Context Systems in Time
Authors: Costantini Stefania  , Formisano Andrea
Published: February 2025

In this paper we consider how to enhance flexibility and generality in Multi-Context Systems (MCS) by considering that contexts can evolve over time, that bridge-rule application can be proactive (according to a context's specific choice), and not instantaneous but requiring an execution mechanism. We introduce bridge-rule patterns to make bridge-rules parametric w.r.t. the involved contexts.
Supervised Graph-Based Term Weighting Scheme for Effective Text Classification
Authors: Shanavas Niloofer  , Wang Hui  , Lin Zhiwei  , Hawe Glenn
Published: February 2025

Due to the increase in electronic documents, automatic text classification has gained a lot of importance as manual classification of documents is time-consuming. Machine learning is the main approach for automatic text classification, where texts are represented, terms are weighted on the basis of the chosen representation and a classification model is built. Vector space model is the dominant text representation largely due to its simplicity. Graphs are becoming an alternative text representation that have the ability to capture important information in text such as term order, term co-occurrence and term relationships that are not considered by the vector space model. Substantially better text classification performance has been demonstrated for term weighting schemes which use a graph representation. In this paper, we introduce a graph-based term weighting scheme, tw-srw, which is an effective supervised term weighting method that considers the co-occurrence information in text for increasing text classification accuracy. Experimental results show that it outperforms the state-of-the-art unsupervised term weighting schemes.
Analysis of Swarm Communication Models
Authors: Haque Musad  , Ren Christopher  , Baker Electa  , Kirkpatrick Douglas  , Adams Julie A.
Published: February 2025

The biological swarm literature presents communication models that attempt to capture the nature of interactions among the swarm's individuals. The evaluated hypothesis that the choice of a biologically inspired communication model can affect an artificial swarm's performance for a given task was supported.