KNOWLEDGE, ATTITUDES, AND PRACTICES REGARDING CHATBOTS AMONG HEALTHCARE PROFESSIONALS IN A TERTIARY CARE HOSPITAL

Authors

DOI:

https://doi.org/10.22159/ajpcr.2024v17i11.52355

Keywords:

Chat Bot, Artificial intelligence, Knowledge, Attitude, Curriculum

Abstract

 Objective: (1) Primary: Determine healthcare professionals’ knowledge, attitudes, and practices (KAP) related to AI Chatbots. (2) Secondary: Assess healthcare professionals’ perspectives on using Chatbots as teaching tools and implementing them in the Competency-Based Medical Education curriculum.

Methods: An online questionnaire was distributed to 132 health professionals, including faculty and CRMIs, through Google Forms. Data on artificial intelligence (AI)-related KAP and barriers were collected following IHEC approval. The KAP scores, along with the relationship between categorical variables – such as population type and the use of AI Chatbots – were analyzed using Statistical Package for the Social Sciences software.

Results: The study revealed that participants had a moderate level of knowledge about AI Chatbots. Attitudes were mixed, with some skepticism about AI replacing human teachers but also recognition of its benefits. Most participants infrequently used AI Chatbots in their daily activities. Barriers to usage included lack of knowledge, limited access, time constraints, and curriculum gaps.

Conclusion: This study underscored the need to enhance medical education with AI topics and address existing barriers. It is crucial to better prepare health professionals for AI integration to leverage AI’s potential for improving patient care and training.

Downloads

Download data is not yet available.

References

Ghorashi N, Ismail A, Ghosh P, Sidawy A, Javan R. AI-powered chatbots in medical education: Potential applications and implications. Cureus. 2023;15(8):e4356.

Al-Qerem W, Eberhardt J, Jarab A, Al-Heyari R, Qnais EY, Momani K, et al. Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan. BMC Med Inform Decis Mak. 2023;23:288.

Wang F, Preininger A. AI in health: State of the art, challenges, and future directions. Yearb Med Inform. 2019;28:16-26.

Bansal H, Khan R. A review paper on human-computer interaction. Int J Adv Res Comput Sci Softw Eng. 2018;8(2):53-8.

Mousavi Baigi SF, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi AS, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Sci Rep. 2023;6(3):e1138.

Jha N, Shankar PR, Al-Betar MA, Mukhia R, Hada K, Palaian S. Undergraduate medical students’ and interns’ knowledge and perception of artificial intelligence in medicine. Adv Med Educ Pract. 2022;13:927-37.

Olaye I, Seixas A. The gap between AI and bedside: Participatory workshop on the barriers to the integration, translation, and adoption of digital health care and AI startup technology into clinical practice. J Med Internet Res. 2023;25:e32962.

Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: A structured literature review. BMC Med Inform Decis Mak. 2021;21:88.

Chan KS, Zary N. Applications and challenges of implementing artificial intelligence in medical education: Integrative review. JMIR Med Educ. 2019;5(1):e13930.

Published

07-11-2024

How to Cite

REGINA ROY, ANIKET, FAZULU RAHIMAN, and VIJAYAMATHY. “KNOWLEDGE, ATTITUDES, AND PRACTICES REGARDING CHATBOTS AMONG HEALTHCARE PROFESSIONALS IN A TERTIARY CARE HOSPITAL”. Asian Journal of Pharmaceutical and Clinical Research, vol. 17, no. 11, Nov. 2024, pp. 34-37, doi:10.22159/ajpcr.2024v17i11.52355.

Issue

Section

Original Article(s)