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Examining Real-World Medication Consultations and Drug-Herb Interactions: ChatGPT Performance Evaluation.
Hsing-Yu Hsu1,2, Kai-Cheng Hsu3,4, Shih-Yen Hou3
1Department of Pharmacy, China Medical University Hospital, Taichung, Taiwan.
ChatGPT can answer basic medication questions, showing higher accuracy for public queries than those from healthcare providers. Further attention is needed for potential medical risks identified in erroneous responses.
Area of Science:
- Artificial Intelligence in Healthcare
- Pharmacy Practice
- Medication Safety
Background:
- OpenAI's ChatGPT has gained attention for its natural language processing capabilities.
- The potential application of AI chatbots in healthcare, specifically in medication consultations, requires thorough evaluation.
Purpose of the Study:
- To prospectively analyze the accuracy and appropriateness of medication consultation responses generated by ChatGPT.
- To assess ChatGPT's performance in handling diverse medication-related queries.
Main Methods:
- A prospective cross-sectional study was conducted in Taiwan.
- Two sets of questions were used: real-world medication consultations and drug-herb interactions.
- Responses were assessed for appropriateness by experienced pharmacists using a double-review mechanism.
Main Results:
- ChatGPT demonstrated a higher appropriateness rate for public medication consultation questions (61%) compared to hospital healthcare provider questions (39%).
- Statistical significance was observed in the difference of appropriateness rates (P=.01).
Conclusions:
- ChatGPT shows potential for answering basic medication consultation questions.
- Identification of erroneous information highlights potential medical risks requiring careful consideration.
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