Perception of Artificial Inelegance in Healthcare, Among Doctors In A tertiary Care Hospital of North Kashmir

Abstract

Background: Artificial intelligence (AI) is increasingly integrated into healthcare, influencing diagnostics, clinical decision-making, and health system management. Understanding healthcare workers’ perceptions is essential for responsible implementation and curriculum development. This study aimed to assess awareness, attitudes, perceived benefits, risks, and institutional readiness regarding AI among doctors at Government Medical College (GMC) Baramulla, North India.

Methods: A cross-sectional observational study was conducted in May 2024 among faculty, consultants, and residents. Data were collected using a structured, literature-based questionnaire administered electronically through Epicollect software. Sociodemographic variables and Likert-scale perception items were included. Descriptive statistics summarized responses, reliability was assessed using Cronbach’s alpha, and inferential analyses including correlation and multivariable regression were performed using Jamovi version 2.7.18.

Results: A total of 108 doctors participated with equal gender distribution. Awareness of AI was high (96.3%), and 88.9% were aware of its healthcare applications. Overall perception toward AI was favourable (mean composite score 3.80 ± 0.32). Participants strongly agreed on AI’s potential to improve healthcare access (4.10 ± 0.70) and reduce burnout (4.12 ± 0.66), and emphasized the need for structured training (4.48 ± 0.65). However, concerns regarding privacy risks (4.15 ± 0.73) and loss of clinical skills (3.86 ± 0.84) were prominent. Institutional readiness was perceived to be low (2.21 ± 0.91). Training needs positively predicted perception scores, while privacy concerns showed a negative association.

Conclusion: Doctors demonstrated favourable attitudes toward AI alongside significant concerns and perceived gaps in institutional preparedness, highlighting the need for structured education, ethical governance, and organizational readiness for safe implementation.