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1.
Identification and prioritization of barriers to the implementation of an asset management system in the healthcare sector using a Delphi-AHP approach
Damjan Maletič, Justyna Trojanowska, Mateja Lorber, Matjaž Maletič, 2025, izvirni znanstveni članek

Opis: Purpose – An effective asset management system (AMS) is essential for healthcare organizations looking to maximize value and performance while minimizing risk and cost. This study aims to identify and evaluate the barriers to AMS adoption and evaluate them from a healthcare perspective. Design/methodology/approach – The study is based on a combination of the Delphi method and the analytic hierarchy process (AHP) with 30 participants from various Slovenian healthcare organizations. Through iterative consensus and prioritization, the Delphi-AHP process resulted in 23 validated barriers, ranked according to their perceived importance for AMS implementation. Findings – The resultsidentified key barriersto implementing AMS in healthcare organizations and categorized them into five dimensions: strategic, human resources, contextual, structural and procedural. The highest ranked barriers were deficient leadership, a shortage of qualified personnel and workforce overload. This indicates that strategic alignment and organizational capacity are perceived as the most critical obstacles to adopting AMS. Originality/value – Thisstudy advancesthe existing literature by addressing a critical gap and providing deeper insight into the factors that impede the successful implementation of AMS in healthcare settings, a domain where empirical evidence remains limited.
Ključne besede: ssset management, healthcare, barriers, organizational resilience, organizational mechanisms, high-tech industry
Objavljeno v DKUM: 09.12.2025; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (2,64 MB)
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2.
A randomized pilot study evaluating socially assistive robot effects on patient engagement and care quality
Izidor Mlakar, Urška Smrke, Valentino Šafran, Igor Robert Roj, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl, 2025, izvirni znanstveni članek

Opis: Healthcare faces significant challenges, including workforce shortages and increasing demands. Socially assistive robots (SARs) have emerged as potential solutions to augment care, but their implementation in hospital wards remains largely unexplored. We conducted a randomized external pilot study (ISRCTN Registry, ISRCTN96689284, registered 24/02/2022) evaluating SAR intervention feasibility and effects on patient engagement and perceived quality of care (co-primary outcomes) and health-related quality of life (secondary outcome) in surgical wards. Patients (N = 229) at University Medical Center Maribor were allocated to SAR intervention (standard care + SAR) or control groups (standard care only). The SAR utilized validated, story-driven conversational capabilities providing standardized patient education, support, and basic triage through predefined dialog flows. While overall effects on patient engagement and perceived care quality were limited, the intervention showed positive impact on pain management. Contextual factors moderated intervention effects, highlighting SAR potential in specific domains. No substantial negative effects were detected. High retention rates demonstrated practical feasibility of SAR implementation in surgical settings.
Ključne besede: healthcare, socially assistive robots, SARs
Objavljeno v DKUM: 08.12.2025; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (1,08 MB)

3.
Which positive view of general practice do medical students and trainees have? : a systematic literature review
Bernard Le Floch, Hilde Bastiaens, Jean-Yves Le Reste, Heidrun Lingner, Robert Hoffman, Radost Spiridonova Assenova, Tuomas Koskela, Zalika Klemenc-Ketiš, P. Nabbe, T Montier, Lieve Peremans, 2020, pregledni znanstveni članek

Opis: Background: Despite several studies focusing on the negative aspects of general medicine, the speciality seems attractive for students. Researchers from the European General Practice Research Network created a group to study job satisfaction in general practice. The aim of this eight-country European study was to determine which positive view students have about general practice. Method: Systematic review of the literature from Pubmed, Embase and Cochrane databases. Articles published between 01/01/2000 and 12/31/2018 were searched and analysed by two researchers working blind. The data on satisfaction factors were extracted from the full text article used as verbatims. Then the data were coded with a thematic analysis. Results: 24 articles out of 414 were selected. Satisfaction factors were classified: teaching of general practice, workplace and organisational freedom, quality of life, variety in practice, workload balance and income. The analysis highlighted intellectual stimulation and the relationship built with patients and other professionals. Conclusion: Literature on the appeal of general practice for students revealed many factors of job satisfaction in general practice. It is possible to create a global view of a satisfied GP on the students' opinion. Courses and clerkships in general practice with positive rolemodels are determining factors in career choice.
Ključne besede: medical students, career choice, general practitioners, job satisfaction, primary healthcare
Objavljeno v DKUM: 20.11.2025; Ogledov: 0; Prenosov: 3
.pdf Celotno besedilo (1,72 MB)
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4.
Human-led and artificial intelligence-automated critical appraisal of systematic reviews : comparative evaluation
Lucija Gosak, Gregor Štiglic, Wilson Tam, Dominika Vrbnjak, 2025, izvirni znanstveni članek

Opis: Aim To evaluate and compare human-led and artificial intelligence-automated critical appraisal of evidence. Background Critical appraisal is essential in evidence-based practice, yet many nurses lack the skills to perform it. Large language models offer potential support, but their role in critical appraisal remains underexplored. Design We conducted a comparative study to evaluate the performance of five commonly used large language models versus two human reviewers in appraising four systematic reviews on interventions to reduce medication administration errors. Methods We compared large language models and two human reviewers in independently appraising four systematic reviews using the JBI Critical Appraisal Checklist. These models were Perplexity Sonar (Pro), Claude 3.7 Sonnet, Gemini 2.0 Flash, GPT-4.5 and Grok-2. All models received identical full texts and standardized prompts. Responses were analyzed descriptively and agreement was assessed using Cohen’s Kappa. Results Large language models showed full agreement with human reviewers on five of 11 JBI items. Most disagreements occurred in appraising search strategy, inclusion criteria and publication bias. The agreement between human reviewers and large language models ranged from slight to moderate. The highest level of agreement was observed with Claude (κ = 0.732), while the lowest level was observed with Gemini (κ = 0.394). Conclusion Large language models can support aspects of critical appraisal evidence but lack contextual reasoning and methodological insight required for complex judgments. While Claude 3.7 Sonnet aligned most closely with human reviewers, human oversight remains essential. Large language models should serve as adjuncts and not substitutes for evidence-based practice.
Ključne besede: artificial intelligence in healthcare, multimodal large language models, nursing, evidence-based practice
Objavljeno v DKUM: 12.11.2025; Ogledov: 0; Prenosov: 3
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5.
Evolutionary game theory use in healthcare : a synthetic knowledge synthesis
Peter Kokol, Jernej Završnik, Helena Blažun Vošner, Bojan Žlahtič, 2025, pregledni znanstveni članek

Opis: Background: Evolutionary game theory (EGT), originating from Darwinian competition studies, offers a powerful framework for understanding complex healthcare interactions where multiple stakeholders with conflicting interests evolve strategies over time. Unlike traditional game theory, EGT accounts for bounded rationality and strategic evolution through imitation and selection. Aims and objectives: In our study, we use Synthetic Knowledge Synthesis (SKS) that integrates descriptive bibliometrics and bibliometric mapping to systematically analyze the application of EGT in healthcare. The SKS aimed to identify prolific research topics, suitable publishing venues, and productive institutions/countries for collaboration and funding. Data was harvested from the Scopus bibliographic database, encompassing 539 publications from 2000 to June 2025, Results: Production dynamics is revealing an exponential growth in scholarly output since 2019, with peak productivity in 2024. Descriptive bibliometrics showed China as the most prolific country (376 publications), followed by the United States and the United Kingdom. Key institutions are predominantly Chinese, and top journals include PLoS One and Frontiers in Public Health. Funding is primarily from Chinese entities like the National Natural Science Foundation of China. Bibliometric mapping identified five key research themes: game theory in cancer research, evolution game-based simulation of supply management, evolutionary game theory in epidemics, evolutionary games in trustworthy connected public health, and evolutionary games in collaborative governance. Conclusions: Despite EGT’s utility, significant research gaps exist in methodological robustness, data availability, contextual modelling, and interdisciplinary translation. Future research should focus on integrating machine learning, longitudinal data, and explicit ethical frameworks to enhance EGT’s practical application in adaptive, patient-centred healthcare systems
Ključne besede: evolutionary games theory, healthcare, complex healthcare systems, synthetic knowledge synthesis, thematic analysis
Objavljeno v DKUM: 29.10.2025; Ogledov: 0; Prenosov: 5
.pdf Celotno besedilo (587,94 KB)

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Organizational and individual antecedents of resistance to change : organizational climate and technology readiness
Hasan Sadık Tatli, Ahmet Melih Eyi̇tmi̇ş, Muhammet Zeki Zümrüt, 2025, izvirni znanstveni članek

Opis: Background and purpose: There is interest in barriers to change in organizations. This research discusses factors affecting resistance to change based on employees’ technological competencies. This research aims to determine the mediating role of technology readiness in the effect of organizational climate in health institutions on resistance to change. Methodology: Research data were collected from 389 employees working in the healthcare sector. SPSS Process 2.13 macro was used to analyze the model. Results: According to the analysis results, organizational climate positively affected technology readiness. Additionally, organizational climate reduced resistance to change. In addition, employees’ readiness for technology reduced resistance to change. Finally, the mediating role of technology readiness (motivating and blocking factors) in the effect of organizational climate on resistance to change was significant. Further, a positive organizational climate in healthcare institutions increased employees’ readiness for new technologies and significantly reduced employees’ resistance to change. Conclusion: Creating a positive organizational climate can be vital in successfully implementing change processes in the healthcare sector. At the end of the research, theoretical and practical suggestions were presented. The research contributes to the literature by addressing the antecedents of resistance to change from organizational and individual perspectives.
Ključne besede: healthcare workers, organizational climate, resistance to change, technology readiness
Objavljeno v DKUM: 05.09.2025; Ogledov: 0; Prenosov: 4
.pdf Celotno besedilo (1,52 MB)
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8.
Identifying the critical success factors for the introduction of an asset management system : a Delphi study in the healthcare sector
Damjan Maletič, Justyna Trojanowska, Matjaž Maletič, 2025, izvirni znanstveni članek

Opis: Purpose: For decades, attention has been paid to standardized management systems, both in academia and in practice. This study focuses on an asset management system (AMS), specifically the key critical success factors (CSFs) for implementing an AMS in healthcare organizations. Methodology/Approach: The study is based on a Delphi method with 15 participants from various Slovenian healthcare organisations who validated and defined the most important CSFs. Findings: The study shows a strong consensus among the experts with regard to specific CSFs in the areas of management and leadership, employee competencies and methods and tools for process improvement. Research Limitation/Implication: The Delphi study method is based on a selected sample of experts, which could have an impact on the generalizability and replicability of the research. Originality/Value of paper: This study provides a better understanding of CSFs for the implementation of AMS based on the opinion and consensus of experts holding different positions and professions in healthcare. As this topic has received little attention in healthcare research and practice, this study serves as a preliminary study to stimulate future work in this under-researched area.
Ključne besede: asset management system, standardization, critical success factors, healthcare, Delphi
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 4
.pdf Celotno besedilo (492,46 KB)
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9.
Challenges of international adoption in Bosnia and Herzegovina
Anita Duraković, Ramajana Demirović, Jasmina Alihodžić, 2023, izvirni znanstveni članek

Opis: Adoption is a special form of family-legal protection of children without parental responsibility, which establishes the parental relationship. We distinguish adoption that takes place within the borders of one country, i.e. internal adoption, and cross-border adoption, i.e. international adoption. The international element can appear in subjects of adoption, i.e. with regard to their citizenship, domicile or habitual residence, and the place of adoption. The focus of the work is the legislative framework in Bosnia and Herzegovina for cases of international adoption, especially the situation of establishing the international adoption of a domestic citizen in Bosnia and Herzegovina and the situation of establishing the international adoption of a foreign citizen abroad in the service of child healthcare and child welfare. Considering the numerous challenges that exist in this matter, the existence of a complete and high-quality normative framework is a condicio sine quo non for successful and legally valid international adoption. In this context, and aware of the importance of the Hague Convention on Adoption from 1993 and the need to harmonize the legislation of Bosnia and Herzegovina with the acquis of the European Union and the comparative trends in comparative law, proposals for lege ferenda were made.
Ključne besede: international adoption, child healthcare, conflict of law rules, international jurisdiction, recognition of foreign decisions on adoption
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 11
.pdf Celotno besedilo (546,91 KB)
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10.
Proposed law for the European health data space in context
Filip Křepelka, 2023, izvirni znanstveni članek

Opis: Analysing electronic health records could improve medicine, but personal data protection impedes this research. The European Health Data Space shall unleash these data. The focus now shifts on how best to balance this effort while at the same time protecting patients' privacy and autonomy. Still, we need to address the reality. Research on images, laboratory results and prescriptions will be easy, as they are electronic. However, the written core of health records is not structured, and establishing summaries for all patients is challenging. Regulations instead of directives are a laudable solution to help simplify the situation. Nonetheless, new challenges emerge with the co-existence of supranational and national frameworks if the former is to have far-reaching ambitions.
Ključne besede: healthcare, privacy, health records, EU integration, COVID-19
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 8
.pdf Celotno besedilo (561,45 KB)
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