Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review.

PLOS digital health Pub Date : 2024-09-12 eCollection Date: 2024-09-01 DOI:10.1371/journal.pdig.0000597
Alex Anawati, Holly Fleming, Megan Mertz, Jillian Bertrand, Jennifer Dumond, Sophia Myles, Joseph Leblanc, Brian Ross, Daniel Lamoureux, Div Patel, Renald Carrier, Erin Cameron
{"title":"Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review.","authors":"Alex Anawati, Holly Fleming, Megan Mertz, Jillian Bertrand, Jennifer Dumond, Sophia Myles, Joseph Leblanc, Brian Ross, Daniel Lamoureux, Div Patel, Renald Carrier, Erin Cameron","doi":"10.1371/journal.pdig.0000597","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Situated within a larger project entitled \"Exploring the Need for a Uniquely Different Approach in Northern Ontario: A Study of Socially Accountable Artificial Intelligence,\" this rapid review provides a broad look into how social accountability as an equity-oriented health policy strategy is guiding artificial intelligence (AI) across the Canadian health care landscape, particularly for marginalized regions and populations. This review synthesizes existing literature to answer the question: How is AI present and impacted by social accountability across the health care landscape in Canada?</p><p><strong>Methodology: </strong>A multidisciplinary expert panel with experience in diverse health care roles and computer sciences was assembled from multiple institutions in Northern Ontario to guide the study design and research team. A search strategy was developed that broadly reflected the concepts of social accountability, AI and health care in Canada. EMBASE and Medline databases were searched for articles, which were reviewed for inclusion by 2 independent reviewers. Search results, a description of the studies, and a thematic analysis of the included studies were reported as the primary outcome.</p><p><strong>Principal findings: </strong>The search strategy yielded 679 articles of which 36 relevant studies were included. There were no studies identified that were guided by a comprehensive, equity-oriented social accountability strategy. Three major themes emerged from the thematic analysis: (1) designing equity into AI; (2) policies and regulations for AI; and (3) the inclusion of community voices in the implementation of AI in health care. Across the 3 main themes, equity, marginalized populations, and the need for community and partner engagement were frequently referenced, which are key concepts of a social accountability strategy.</p><p><strong>Conclusion: </strong>The findings suggest that unless there is a course correction, AI in the Canadian health care landscape will worsen the digital divide and health inequity. Social accountability as an equity-oriented strategy for AI could catalyze many of the changes required to prevent a worsening of the digital divide caused by the AI revolution in health care in Canada and should raise concerns for other global contexts.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"3 9","pages":"e0000597"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11392241/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pdig.0000597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Situated within a larger project entitled "Exploring the Need for a Uniquely Different Approach in Northern Ontario: A Study of Socially Accountable Artificial Intelligence," this rapid review provides a broad look into how social accountability as an equity-oriented health policy strategy is guiding artificial intelligence (AI) across the Canadian health care landscape, particularly for marginalized regions and populations. This review synthesizes existing literature to answer the question: How is AI present and impacted by social accountability across the health care landscape in Canada?

Methodology: A multidisciplinary expert panel with experience in diverse health care roles and computer sciences was assembled from multiple institutions in Northern Ontario to guide the study design and research team. A search strategy was developed that broadly reflected the concepts of social accountability, AI and health care in Canada. EMBASE and Medline databases were searched for articles, which were reviewed for inclusion by 2 independent reviewers. Search results, a description of the studies, and a thematic analysis of the included studies were reported as the primary outcome.

Principal findings: The search strategy yielded 679 articles of which 36 relevant studies were included. There were no studies identified that were guided by a comprehensive, equity-oriented social accountability strategy. Three major themes emerged from the thematic analysis: (1) designing equity into AI; (2) policies and regulations for AI; and (3) the inclusion of community voices in the implementation of AI in health care. Across the 3 main themes, equity, marginalized populations, and the need for community and partner engagement were frequently referenced, which are key concepts of a social accountability strategy.

Conclusion: The findings suggest that unless there is a course correction, AI in the Canadian health care landscape will worsen the digital divide and health inequity. Social accountability as an equity-oriented strategy for AI could catalyze many of the changes required to prevent a worsening of the digital divide caused by the AI revolution in health care in Canada and should raise concerns for other global contexts.

加拿大医疗保健领域的人工智能与社会责任:快速文献综述。
背景:本报告是在一个名为 "探索北安大略省对独特方法的需求 "的大型项目中进行的:社会责任人工智能研究 "的大型项目中,本快速综述对社会责任作为一种以公平为导向的医疗政策战略,如何在加拿大医疗保健领域指导人工智能(AI),尤其是边缘化地区和人群的人工智能(AI)进行了广泛的研究。本综述综合了现有文献,以回答以下问题:在加拿大的医疗保健领域,人工智能是如何存在的,又是如何受到社会责任的影响的?我们从安大略省北部的多个机构中组建了一个多学科专家小组,该小组成员在不同的医疗保健领域和计算机科学领域拥有丰富的经验,为研究设计和研究团队提供指导。制定的搜索策略广泛反映了加拿大的社会责任、人工智能和医疗保健等概念。研究人员在 EMBASE 和 Medline 数据库中搜索了相关文章,并由两名独立审查员对这些文章进行了审查。主要结果包括:检索结果、研究描述以及对纳入研究的专题分析:主要结果:搜索策略共搜索到 679 篇文章,其中纳入了 36 项相关研究。没有发现以公平为导向的全面社会问责战略为指导的研究。专题分析中出现了三大主题:(1) 在人工智能中设计公平;(2) 人工智能的政策和法规;(3) 将社区的声音纳入医疗保健中人工智能的实施。在这三大主题中,公平、边缘化人群以及社区和合作伙伴参与的必要性经常被提及,这些都是社会问责战略的关键概念:结论:研究结果表明,除非进行方向修正,否则加拿大医疗保健领域的人工智能将加剧数字鸿沟和健康不平等。社会责任作为一种以公平为导向的人工智能战略,可以促进许多必要的变革,防止加拿大医疗保健领域的人工智能革命造成数字鸿沟的恶化,同时也应引起全球其他国家的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信