Knowledge, Attitudes & Practices of AI in Healthcare among Medical Faculty
This IRB-approved survey explores faculty KAP regarding Artificial Intelligence in healthcare. Your responses will help us plan curriculum and faculty development.
- ✔ Duration: ~5–7 minutes
- ✔ Anonymous & confidential
- ✔ For teaching & clinical faculty
Consent Summary
Purpose: To assess faculty knowledge, attitudes, and practices regarding AI in healthcare for curriculum planning.
Procedures: Single online questionnaire; no identifying information is collected.
Risks/Benefits: Minimal risk. Potential benefit includes shaping faculty development and AI training.
Voluntary: Participation is optional; you may exit anytime before submitting.
Data Use: Aggregated results may be used in academic reports; no personal identifiers.
Ethics: Approved by [IRB/IEC Name, Ref. No., Date].
Contact: pi@email.edu
Please tick the consent box above and click Begin Survey.
Study Overview
Cross-sectional survey assessing Knowledge, Attitudes, and Practices (KAP) of AI in healthcare among medical faculty at [Institution]. Findings will inform AI curriculum integration and faculty development.
Eligibility
- Teaching faculty (basic sciences & clinical departments)
- Currently appointed at [Institution]
- Age ≥ 18 years
Data & Privacy
No names, emails, or personal identifiers are collected. Responses are stored securely and analyzed in aggregate. For questions, contact the PI or Ethics Committee.
Key References
- Alabbad FA, Almeneessier AS, Alshalan MH, Aljarba MN. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Saudi Arabia. J Family Med Prim Care. 2025;14(4):1459–1464.
- Tung AYZ, Dong LW. Malaysian Medical Students’ Attitudes and Readiness Toward AI: A Cross-Sectional Study. J Med Educ Curric Dev. 2023;10:1–8.
Principal Investigator
Name: Rakshit Raj Singh Deori, Final year MBBS
Affiliation: SSJGIMSR, Almora
Email: drrakshitdeori@gmail.com
IRB/IEC: abcd – Ref: [Number]
Study Period: [Month YYYY – Month YYYY]