Ensuring useful adoption of generative artificial intelligence in healthcare.

IF 4.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of the American Medical Informatics Association Pub Date : 2024-05-20 DOI:10.1093/jamia/ocae043

Jenelle A Jindal, Matthew P Lungren, Nigam H Shah

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Abstract

Objectives: This article aims to examine how generative artificial intelligence (AI) can be adopted with the most value in health systems, in response to the Executive Order on AI.

Materials and methods: We reviewed how technology has historically been deployed in healthcare, and evaluated recent examples of deployments of both traditional AI and generative AI (GenAI) with a lens on value.

Results: Traditional AI and GenAI are different technologies in terms of their capability and modes of current deployment, which have implications on value in health systems.

Discussion: Traditional AI when applied with a framework top-down can realize value in healthcare. GenAI in the short term when applied top-down has unclear value, but encouraging more bottom-up adoption has the potential to provide more benefit to health systems and patients.

Conclusion: GenAI in healthcare can provide the most value for patients when health systems adapt culturally to grow with this new technology and its adoption patterns.

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确保在医疗保健领域切实采用生成式人工智能。

目的：本文旨在研究如何在医疗系统中采用最具价值的生成式人工智能（AI），以响应人工智能行政命令：我们回顾了历史上医疗保健领域是如何部署技术的，并以价值为视角评估了传统人工智能和生成式人工智能（GenAI）的最新部署案例：传统人工智能和 GenAI 在能力和当前部署模式上是不同的技术，这对医疗系统的价值有影响：传统人工智能在自上而下的框架下应用，可以实现医疗保健的价值。GenAI在短期内自上而下应用的价值尚不明确，但鼓励更多自下而上的应用有可能为医疗系统和患者带来更多益处：当医疗系统在文化上适应这种新技术及其应用模式的发展时，医疗领域的 GenAI 就能为患者带来最大价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Medical Informatics Association 医学-计算机：跨学科应用

CiteScore

14.50

自引率

7.80%

发文量

230

审稿时长

3-8 weeks

期刊介绍： JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.