Synapse
⌘+K
Synapse
PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
July 3, 2026HealthcareOpen Access

Applying the UTAUT Model to Analyze Healthcare Professionals’ Behavioural Intention to Use Hospital Information Systems: A Cross-Sectional Study in a Multi-Specialty Hospital

View Full Paper
Ask AI
Bookmark
Share

Authors

SSShyamkumar SriramSPSundar Nithya PriyaABA. Bhoomadevi

Discussion

Loading...

Member takes

Overview

Cross-sectional study examines UTAUT framework’s impact on healthcare professionals’ technology adoption intentions, indicating performance expectancy is crucial.

Key Points

  • This study aims to evaluate how UTAUT constructs influence healthcare professionals’ intention to adopt Hospital Information Systems (HIS).
  • Cross-sectional study conducted in a multi-specialty hospital in Chennai, India, with 140 medical professionals sampled using stratified random sampling.
  • A modified UTAUT questionnaire was administered to assess constructs related to HIS adoption, validated through expert review and Cronbach’s alpha.
  • Statistical analyses included Pearson correlation, multiple linear regression, one-way ANOVA, and structural equation modeling.
  • Performance Expectancy (β = 0.480, p < 0.01) and Social Influence (β = 0.180, p < 0.05) emerged as significant predictors of Behavioral Intention.
  • The CHI-square and other indices confirmed the structural model's validity (χ2/df = 1.42, RMSEA = 0.043, CFI = 0.94).
  • Nurses reported significantly lower perceptions of Facilitating Conditions compared to physicians and technicians, highlighting a support gap.

Cite This Study

Sriram et al. (2026) studied this question.

synapsesocial.com/papers/6a47540e5c29257aa2579da5https://doi.org/10.3390/healthcare14131912
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model2024 · 29 citations
  2. 2Determinants of Intention to Use of Hospital Information Systems among Healthcare Professionals2024 · 9 citations
  3. 3Beyond willingness: unpacking pharmacists’ adoption of AI-driven clinical decision support systems through an extended UTAUT framework2026 · 3 citations
  4. 4Both sides of the screen: A dual-sided model of telemedicine adoption through extended UTAUT22026
  5. 5Toward Digital Hospital Services: Developing an Integrated Model to Understand Patient Intentions for Utilizing Online Hospital Service Platforms2024