Related Experiment Video
Updated: Jul 1, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Ensuring useful adoption of generative artificial intelligence in healthcare
Jenelle A Jindal1, Matthew P Lungren2,3,4, Nigam H Shah5,6,7
1Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, United States.
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.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Non-equilibrium in the Cell
Current Trends in Nursing II
What is Genetic Engineering?
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Gene Therapy

