安大略省社区健康中心医护人员对基层医疗中人工智能应用的认知：一项定性研究

Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres.

作者信息

Nash Danielle M, Thorpe Cathy, Brown Judith Belle, Kueper Jacqueline K, Rayner Jennifer, Lizotte Daniel J, Terry Amanda L, Zwarenstein Merrick

机构信息

From the Department of Epidemiology and Biostatistics, the Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada (DMN, DJL, ALT, MZ); ICES, Ontario, Canada (DMN, MZ); Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada (DMN, CT, JBB, JR, ALT, MZ); Department of Computer Science, Faculty of Science, Western University, London, Ontario, Canada (JKK, DJL); Department of Research and Evaluation, Alliance for Healthier Communities, Toronto, Ontario, Canada (JR); Schulich Interfaculty Program in Public Health, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada (ALT).

出版信息

J Am Board Fam Med. 2023 Apr 3;36(2):221-228. doi: 10.3122/jabfm.2022.220177R2. Epub 2023 Mar 22.

DOI:10.3122/jabfm.2022.220177R2

PMID:36948536

Abstract

PURPOSE

To understand staff and health care providers' views on potential use of artificial intelligence (AI)-driven tools to help care for patients within a primary care setting.

METHODS

We conducted a qualitative descriptive study using individual semistructured interviews. As part of province-wide Learning Health Organization, Community Health Centres (CHCs) are a community-governed, team-based delivery model providing primary care for people who experience marginalization in Ontario, Canada. CHC health care providers and staff were invited to participate. Interviews were audio-recorded and transcribed verbatim. We performed a thematic analysis using a team approach.

RESULTS

We interviewed 27 participants across 6 CHCs. Participants lacked in-depth knowledge about AI. Trust was essential to acceptance of AI; people need to be receptive to using AI and feel confident that the information is accurate. We identified internal influences of AI acceptance, including ease of use and complementing clinical judgment rather than replacing it. External influences included privacy, liability, and financial considerations. Participants felt AI could improve patient care and help prevent burnout for providers; however, there were concerns about the impact on the patient-provider relationship.

CONCLUSIONS

The information gained in this study can be used for future research, development, and integration of AI technology.

摘要

目的

了解工作人员和医疗保健提供者对于在初级保健环境中潜在使用人工智能驱动工具来帮助护理患者的看法。

方法

我们采用个人半结构化访谈进行了一项定性描述性研究。作为全省学习型健康组织的一部分，社区健康中心（CHC）是一种由社区管理、基于团队的服务模式，为加拿大安大略省处于边缘化的人群提供初级保健。邀请了CHC的医疗保健提供者和工作人员参与。访谈进行了录音并逐字转录。我们采用团队方法进行了主题分析。

结果

我们对6个CHC的27名参与者进行了访谈。参与者对人工智能缺乏深入了解。信任对于接受人工智能至关重要；人们需要愿意使用人工智能并对信息的准确性有信心。我们确定了人工智能接受度的内部影响因素，包括易用性以及补充临床判断而非取代它。外部影响因素包括隐私、责任和财务考量。参与者认为人工智能可以改善患者护理并帮助预防提供者倦怠；然而，人们担心这会对医患关系产生影响。