{"title":"在医疗保健领域扩展企业人工智能:治理在风险缓解框架中的作用","authors":"Andreea Bodnari, John Travis","doi":"10.1038/s41746-025-01700-4","DOIUrl":null,"url":null,"abstract":"<p>This perspective article examines the role of governance frameworks in mitigating risks and building trust in AI implementations within healthcare organizations. As AI technologies rapidly evolve, robust governance is essential to manage potential adverse incidents and ensure fair, equitable, and effective innovation. This article highlights key risks associated with AI deployments and proposes enhancements to enterprise AI governance to better address these challenges posed by AI and digital health innovations.</p>","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"1 1","pages":""},"PeriodicalIF":12.4000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scaling enterprise AI in healthcare: the role of governance in risk mitigation frameworks\",\"authors\":\"Andreea Bodnari, John Travis\",\"doi\":\"10.1038/s41746-025-01700-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This perspective article examines the role of governance frameworks in mitigating risks and building trust in AI implementations within healthcare organizations. As AI technologies rapidly evolve, robust governance is essential to manage potential adverse incidents and ensure fair, equitable, and effective innovation. This article highlights key risks associated with AI deployments and proposes enhancements to enterprise AI governance to better address these challenges posed by AI and digital health innovations.</p>\",\"PeriodicalId\":19349,\"journal\":{\"name\":\"NPJ Digital Medicine\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NPJ Digital Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41746-025-01700-4\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Digital Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41746-025-01700-4","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Scaling enterprise AI in healthcare: the role of governance in risk mitigation frameworks
This perspective article examines the role of governance frameworks in mitigating risks and building trust in AI implementations within healthcare organizations. As AI technologies rapidly evolve, robust governance is essential to manage potential adverse incidents and ensure fair, equitable, and effective innovation. This article highlights key risks associated with AI deployments and proposes enhancements to enterprise AI governance to better address these challenges posed by AI and digital health innovations.
期刊介绍:
npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics.
The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.