{"title":"Revisiting critical digital health studies in the age of generative AI: Research in <i>Health</i> and beyond.","authors":"Deborah Lupton","doi":"10.1177/13634593261451272","DOIUrl":null,"url":null,"abstract":"<p><p>This review article for <i>Health</i>'s 30th anniversary special issue provides an update on an article I contributed for the 20th anniversary of <i>Health</i> in 2016 which outlined how the sub-field of critical digital health studies has been explored in the journal. The current review article is in two parts. It begins with an overview of digital health research published in <i>Health</i> in the decade since the first review was published, reflecting on the methods and conceptual approaches that have been used over the past 10 years to engage with this topic. The second part goes on to consider how critical digital health studies might address the latest 'big thing' in digital health: generative AI applications. Some bold claims have been made about the benefits that generative AI models are supposed to offer patients and healthcare providers, but their impacts have not yet been fully evaluated from a critical digital health perspective. The article ends by emphasising the importance of acknowledging and identifying how the introduction of generative AI applications into medicine and health care can harm humans and the ecosystems of which they are part. Critical digital health studies should therefore expand its focus beyond its current human-centric preoccupations. As an interdisciplinary social research journal from its inception, <i>Health</i> is well-placed to offer a home for such critical analyses.</p>","PeriodicalId":12944,"journal":{"name":"Health","volume":" ","pages":"13634593261451272"},"PeriodicalIF":2.0000,"publicationDate":"2026-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/13634593261451272","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
This review article for Health's 30th anniversary special issue provides an update on an article I contributed for the 20th anniversary of Health in 2016 which outlined how the sub-field of critical digital health studies has been explored in the journal. The current review article is in two parts. It begins with an overview of digital health research published in Health in the decade since the first review was published, reflecting on the methods and conceptual approaches that have been used over the past 10 years to engage with this topic. The second part goes on to consider how critical digital health studies might address the latest 'big thing' in digital health: generative AI applications. Some bold claims have been made about the benefits that generative AI models are supposed to offer patients and healthcare providers, but their impacts have not yet been fully evaluated from a critical digital health perspective. The article ends by emphasising the importance of acknowledging and identifying how the introduction of generative AI applications into medicine and health care can harm humans and the ecosystems of which they are part. Critical digital health studies should therefore expand its focus beyond its current human-centric preoccupations. As an interdisciplinary social research journal from its inception, Health is well-placed to offer a home for such critical analyses.
期刊介绍:
Health: is published four times per year and attempts in each number to offer a mix of articles that inform or that provoke debate. The readership of the journal is wide and drawn from different disciplines and from workers both inside and outside the health care professions. Widely abstracted, Health: ensures authors an extensive and informed readership for their work. It also seeks to offer authors as short a delay as possible between submission and publication. Most articles are reviewed within 4-6 weeks of submission and those accepted are published within a year of that decision.