# AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare

**Authors:** Aryaman Raina, Prateek Mishra, Harshit goyal, Dhruv Kumar  
**arXiv:** [2401.15605](https://arxiv.org/abs/2401.15605)  
**Date:** 2024-01-28  
**Summary page:** https://www.summarizepaper.com/en/paper/2401.15605v1/

## Key points

- Authors conducted a study titled "AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare"
- Research utilized surveys and interviews with general users and medical professionals
- Healthcare professionals value ChatGPT for medical education and preliminary clinical settings but have concerns about reliability, privacy, and cross-verification
- General users prefer AI interactions in healthcare but are cautious due to doubts about accuracy and trustworthiness
- Emphasized importance of LLMs complementing human medical expertise rather than replacing it
- Highlighted significance of collaborative development between technology providers and healthcare professionals
- Research contributes insights on current LLM usage patterns, user trust levels, and areas for improvement in healthcare
- Emphasized need for ethically compliant and user-focused LLM advancements in healthcare
- Study sheds light on the evolving role of AI technologies like ChatGPT in transforming healthcare practices in India

## Summary

Authors Aryaman Raina, Prateek Mishra, Harshit Goyal, and Dhruv Kumar conducted a study titled "AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare" to explore the integration and impact of Large Language Models (LLMs) like ChatGPT in India's healthcare sector. The research utilized a dual approach, engaging both general users and medical professionals through surveys and interviews. The findings revealed that healthcare professionals value ChatGPT for its utility in medical education and preliminary clinical settings; however, they expressed concerns about reliability, privacy, and the necessity for cross-verification with medical references. On the other hand, general users displayed a preference for AI interactions in healthcare but remained cautious due to lingering doubts regarding accuracy and trustworthiness. The study emphasized the importance of LLMs complementing rather than replacing human medical expertise. It underscored the significance of collaborative development between technology providers and healthcare professionals to ensure that these tools meet industry-specific needs effectively. By enhancing the understanding of LLMs in healthcare, detailing current usage patterns, user trust levels, and areas for improvement,this research contributes valuable insights for future advancements in the field. The authors highlighted the need for ethically compliant and user-focused LLM advancements that address unique challenges within the healthcare domain. Overall,this study sheds light on the evolving role of AI technologies like ChatGPT in transforming healthcare practices in India while emphasizing the critical role of human expertise alongside technological innovations.