Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University Hospital, Kyoto, Japan.
Stud Health Technol Inform. 2024 Aug 22;316:671-675. doi: 10.3233/SHTI240503.
Patient perception involves a patient's thoughts and beliefs regarding their health status. It is also associated with medical compliance and outcomes. However, discrepancies often arise between patient perception and physicians' documentation within the medical records, resulting in misunderstanding and suboptimal doctor-patient communication. In this study, we assessed the efficacy of generative artificial intelligence (AI) in comparing the content of patient perception as recorded in patient questionnaires and physicians' records of the Department of Breast Surgery. We evaluated the precision and recall of the generative AI by comparison with human-created ground truth. Our results demonstrated the high performance of the generative AI in comprehending and contrasting symptoms and the entire content recorded differently by patients and physicians, with F1 scores ranging from 0.77 to 0.97. These results highlight the potential contribution of a generative AI to deeper mutual comprehension in healthcare scenarios.
患者感知涉及患者对自身健康状况的想法和信念。它还与医疗依从性和结果相关。然而，患者感知与医生在医疗记录中的记录之间经常存在差异，导致误解和医患沟通不佳。在这项研究中，我们评估了生成式人工智能 (AI) 在比较乳腺外科患者问卷中记录的患者感知内容和医生记录方面的功效。我们通过与人工创建的真实数据进行比较来评估生成式 AI 的精度和召回率。我们的结果表明，生成式 AI 在理解和对比症状以及患者和医生记录的不同内容方面表现出色，F1 分数在 0.77 到 0.97 之间。这些结果突出了生成式 AI 在医疗保健场景中促进更深入的相互理解的潜在贡献。
