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Abstract: Aims and Objective: The aim of this study was to explore the feasibility, usability and acceptance of integrating Clinical Decision Support Systems with Socially Assistive Robots into hospital grand rounds. Background: Adopting Clinical Decision Support Systems in healthcare faces challenges such as complexity, poor integration with workflows, and concerns about data privacy and quality. Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. Making Clinical Decision Support System simple, intuitive and user-friendly is essential to enable its use in daily practice to improve patient care and decision-making. Methods: This six-month pilot study had two participant groups, with total of 40 participants: a longitudinal intervention group (n =8) and a single-session evaluation group (n=32). Participants were medical doctors at the University Clinical Center Maribor. The intervention involved implementing a Clinical Decision Support System delivered via a Socially Assistive Robot during hospital grand rounds. We developed a system that employed the HL7 FHIR standard for integrating data from hospital monitors, electronic health records, and patient-reported outcomes into a single dashboard. A Pepper-based SAR provided patient specific recommendations through a voice and SAR tablet enabled interface. Key evaluation metrics were assessed using the System Usability Scale (SUS) and the Unified Theory of Acceptance, Use of Technology (UTAUT2) questionnaire, including Effort Expectancy, Performance Expectancy and open ended questions. The longitudinal group used the system for 6 months and completed the assessments twice, after one week and at the end of the study. The single-session group completed the assessment once, immediately after the experiment. Qualitative data were gathered through open-ended questions. Data analysis included descriptive statistics, paired t-tests, and thematic analysis. Results: System usability was rated highly across both groups, with the longitudinal group reporting consistently excellent scores (M =82.08 at final evaluation) compared to the acceptable scores of the single-session group (M =68.96). Extended exposure improved user engagement, reflected in significant increases in Effort Expectancy and Habit over time. Participants found the system enjoyable to use, and while no significant changes were seen in Performance Expectancy, feedback emphasized its efficiency in saving time and improving access to clinical data, supporting its feasibility and acceptability. Conclusions: This research supports the potential of robotic technologies to transform CDSS into more interactive, efficient, and user-friendly tools for healthcare professionals. The paper also suggests further research directions and technical improvements to maximize the impact of innovative technologies in healthcare.
Keywords: clinical decision support systems, clinical decision-making, hospital grand rounds, patient data integration, perceived quality of care, socially assistive robots, usability and familiarity, user experience questionnaire, workload reduction
Published in DKUM: 30.05.2025; Views: 0; Downloads: 3
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Abstract: Cancer survivors face numerous challenges, and digital health interventions can empower them by enhancing self-efficacy and patient activation. This prospective study aimed to assess the impact of a mHealth app on self-efficacy and patient activation in 166 breast and colorectal cancer survivors. Participants received a smart bracelet and used the app to access personalized care plans. Data were collected at baseline and follow-ups, including patient-reported outcomes and clinician feedback. The study demonstrated positive impacts on self-efficacy and patient activation. The overall trial retention rate was 75.3%. Participants reported high levels of activation (PAM levels 1–3: P = 1.0; level 4: P = 0.65) and expressed a willingness to stay informed about their disease (CASE-Cancer factor 1: P = 0.98; factor 2: P = 0.66; factor 3: P = 0.25). Usability of the app improved, with an increase in participants rating the system as having excellent usability (from 14.82% to 22.22%). Additional qualitative analysis revealed positive experiences from both patients and clinicians. This paper contributes significantly to cancer survivorship care by providing personalized care plans tailored to individual needs. The PERSIST platform shows promise in improving patient outcomes and enhancing self-management abilities in cancer survivors. Further research with larger and more diverse populations is needed to establish its effectiveness.
Keywords: cancer survivorship, self-efficacy, satisfaction, patient activation, digital health interventions
Published in DKUM: 25.04.2025; Views: 0; Downloads: 0

Abstract: Uvod: Kronična venska insuficienca je klinično opredeljena kot skupek znakov in simptomov, ki so vzrok in posledica dlje časa trajajočega povečanega krvnega tlaka v venah spodnjih udov. Ključno je pravočasno ukrepanje z redno uporabo kompresijske terapije. Namen zaključnega dela je bil na podlagi pregledane literature raziskati pomen uporabe kompresijske terapije pri kroničnem venskem popuščanju. Metode: Pregledali smo strokovno in znanstveno literaturo s področja pomena uporabe kompresijske terapije pri kroničnem venskem popuščanju. Literaturo smo iskali v podatkovnih bazah PubMed, CINAHL Ultimate (EBSCOhost) in Sage Journal. S pomočjo PRISMA diagrama smo prikazali potek iskanja, uporabili smo deskriptivno metodo dela. Rezultati: V končno analizo smo vključili 10 raziskav. Ugotovili smo, da so pozitivni učinki kompresijske terapije možni le, če se ta izvaja dosledno. Pripomore k zmanjšanju simptomov in izboljšuje kakovost življenja. Izziv pri doseganju optimalnih rezultatov pri dosledni rabi terapije predstavlja predvsem doslednost pri upoštevanju navodil in pravilna uporaba predpisane kompresijske terapije. Razprava in Zaključek: Kronična venska bolezen predstavlja vse večjo skrb zaradi naraščajočih trendov dolge življenjske dobe, zato je pravočasno ukrepanje ključnega pomena. Kompresijska terapija je učinkovita pri zdravljenju KVI, vendar je informiranost okrnjena, kar nakazuje na potrebo po večjem izobraževanju. Za izboljšanje doslednosti pacientov pri upoštevanju navodil in za boljše razumevanje so nujne dodatne raziskave koristi uporabe kompresijske terapije.
Keywords: kompresijska terapija, kronično vensko popuščanje, zdravljenje
Published in DKUM: 17.01.2025; Views: 0; Downloads: 117
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Abstract: Healthcare systems around the world are currently witnessing various challenges, including population aging and workforce shortages. As a result, the existing, overworked staff are struggling to meet the ever-increasing demands and provide the desired quality of care. One of the promising technological solutions that could complement the human workforce and alleviate some of their workload, are socially assistive humanoid robots. However, despite their potential, the implementation of socially assistive humanoid robots is often challenging due to low acceptance among key stakeholders, namely, patients and healthcare professionals. Hence, the present study first investigated the extent to which these stakeholders accept the use of socially assistive humanoid robots in nursing and care routine, and second, explored the characteristics that contribute to higher/lower acceptance within these groups, with a particular emphasis on demographic variables, technology expectations, ethical acceptability, and negative attitudes. In study 1, conducted on a sample of 490 healthcare professionals, the results of structural equation modeling showed that acceptance is driven primarily by aspects of ethical acceptability, although education and technology expectations also exert an indirect effect. In study 2, conducted on a sample of 371 patients, expectations regarding capabilities and attitudes towards the social influence of robots emerged as important predictors of acceptance. Moreover, although acceptance rates differed between tasks, both studies show a relatively high acceptance of socially assistive humanoid robots. Despite certain limitations, the study findings provide essential knowledge that enhances our understanding of stakeholders’ perceptions and acceptance of socially assistive humanoid robots in hospital environments, and may guide their deployment.
Keywords: socially assistive humanoid robots, attitudes, expectations, patients, healthcare professionals
Published in DKUM: 12.06.2024; Views: 166; Downloads: 15
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Keywords: okužba kirurške rane, terciarna bolnišnica, incidenca
Published in DKUM: 11.04.2024; Views: 154; Downloads: 5
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