Gondode Prakash G, Khanna Puneet, Sharma Pradeep, Duggal Sakshi, Garg Neha
Department of Anesthesiology, Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India.
Department of Critical Care Medicine, NH Hospital, Raipur, Chhattisgarh, India.
Indian J Crit Care Med. 2024 Jun;28(6):561-568. doi: 10.5005/jp-journals-10071-24725.
End-of-life care (EOLC) is a critical aspect of healthcare, yet accessing reliable information remains challenging, particularly in culturally diverse contexts like India.
This study investigates the potential of artificial intelligence (AI) in addressing the informational gap by analyzing patient information leaflets (PILs) generated by AI chatbots on EOLC.
Using a comparative research design, PILs generated by ChatGPT and Google Gemini were evaluated for readability, sentiment, accuracy, completeness, and suitability. Readability was assessed using established metrics, sentiment analysis determined emotional tone, accuracy, and completeness were rated by subject experts, and suitability was evaluated using the Patient Education Materials Assessment Tool (PEMAT).
Google Gemini PILs exhibited superior readability and actionability compared to ChatGPT PILs. Both conveyed positive sentiments and high levels of accuracy and completeness, with Google Gemini PILs showing slightly lower accuracy scores.
The findings highlight the promising role of AI in enhancing patient education in EOLC, with implications for improving care outcomes and promoting informed decision-making in diverse cultural settings. Ongoing refinement and innovation in AI-driven patient education strategies are needed to ensure compassionate and culturally sensitive EOLC.
Gondode PG, Khanna P, Sharma P, Duggal S, Garg N. End-of-life Care Patient Information Leaflets-A Comparative Evaluation of Artificial Intelligence-generated Content for Readability, Sentiment, Accuracy, Completeness, and Suitability: ChatGPT vs Google Gemini. Indian J Crit Care Med 2024;28(6):561-568.
临终关怀是医疗保健的一个关键方面，但获取可靠信息仍然具有挑战性，尤其是在印度这样文化多元的背景下。
本研究通过分析人工智能聊天机器人生成的关于临终关怀的患者信息手册，调查人工智能在解决信息差距方面的潜力。
采用比较研究设计，对ChatGPT和谷歌Gemini生成的患者信息手册进行可读性、情感倾向、准确性、完整性和适用性评估。使用既定指标评估可读性，通过情感分析确定情感基调，由专家对准确性和完整性进行评分，并使用患者教育材料评估工具（PEMAT）评估适用性。
与ChatGPT生成的患者信息手册相比，谷歌Gemini生成的手册具有更高的可读性和可操作性。两者都传达了积极的情感倾向，并且准确性和完整性水平较高，谷歌Gemini生成的手册准确性得分略低。
研究结果凸显了人工智能在加强临终关怀患者教育方面的积极作用，对改善护理结果和在不同文化背景下促进明智决策具有重要意义。需要不断完善和创新人工智能驱动的患者教育策略，以确保提供富有同情心且具有文化敏感性的临终关怀。
Gondode PG, Khanna P, Sharma P, Duggal S, Garg N. 临终关怀患者信息手册——人工智能生成内容的可读性、情感倾向、准确性、完整性和适用性的比较评估：ChatGPT与谷歌Gemini。《印度重症监护医学杂志》2024；28(6):561 - 568。
