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利用人工智能技术分析在线患者评论。

Using artificial intelligence to examine online patient reviews.

机构信息

Simon Fraser University, Canada.

KTH Royal Institute of Technology, Sweden.

出版信息

J Health Psychol. 2021 Nov;26(13):2424-2434. doi: 10.1177/1359105320913954. Epub 2020 Apr 17.

Abstract

Healthcare consumers are increasingly turning to online sources such as educational websites, forums and social media platforms to share their experiences with medical services and to demystify the uncertainties associated with undergoing various procedures. This study demonstrates a non-invasive way of understanding the feelings and emotions that consumers share via electronic word of mouth. By using IBM Watson, a content analysis tool that harnesses artificial intelligence, we show how a large amount of unstructured qualitative data can be transformed into quantitative data that can be subsequently analysed to generate novel insights into what patients are sharing about their healthcare experiences online.

摘要

医疗保健消费者越来越多地转向在线资源,如教育网站、论坛和社交媒体平台,分享他们对医疗服务的体验,并揭开与接受各种程序相关的不确定性。本研究展示了一种非侵入性的方式来理解消费者通过电子口碑分享的感受和情感。通过使用 IBM Watson,一种利用人工智能的内容分析工具,我们展示了如何将大量非结构化的定性数据转化为可以进一步分析的定量数据,从而生成有关患者在网上分享其医疗保健体验的新见解。

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