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Naslov:Feasibility of a computerized clinical decision support system delivered via a socially assistive robot during grand rounds : a pilot study
Avtorji:ID Šafran, Valentino (Avtor)
ID Smrke, Urška (Avtor)
ID Ilijevec, Bojan (Avtor)
ID Horvat, Samo (Avtor)
ID Flis, Vojko (Avtor)
ID Plohl, Nejc (Avtor)
ID Mlakar, Izidor (Avtor)
Datoteke:.pdf safran-et-al-2025-feasibility-of-a-computerized-clinical-decision-support-system-delivered-via-a-socially-assistive.pdf (3,02 MB)
MD5: 642E247131BF0A9A9F3190EDC186B89E
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
FF - Filozofska fakulteta
Opis: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.
Ključne besede: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
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:27.12.2025
Datum sprejetja članka:15.04.2025
Datum objave:30.04.2024
Založnik:Sage Publications
Leto izida:2025
Št. strani:21 str.
Številčenje:Vol. 10
PID:20.500.12556/DKUM-93005 Novo okno
UDK:616-083
COBISS.SI-ID:234915075 Novo okno
DOI:10.1177/20552076251339012 Novo okno
ISSN pri članku:2055-2076
Avtorske pravice:© The Author(s)
Datum objave v DKUM:30.05.2025
Število ogledov:0
Število prenosov:2
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Digital health
Založnik:SAGE Publications Ltd
ISSN:2055-2076
COBISS.SI-ID:526076953 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0069-2018
Naslov:Napredne metode interakcij v telekomunikacijah

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:6316-3/2018-255
Naslov:Horizon 2020 Framework Programme

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:603-1/2018-16
Naslov:Horizon 2020 Framework Programme

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:101016834
Naslov:Horizon 2020 Framework Programme

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:sistemi za podporo, klinično odločanje, bolnišnični krogi, integracija pacientov


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