Clinical use of artificial intelligence requires AI-capable organizations

Laurie Lovett Novak; Regina G Russell; Kim Garvey; Mehool Patel; Kelly Jean Thomas Craig; Jane Snowdon; Bonnie Miller

doi:10.1093/jamiaopen/ooad028

Clinical use of artificial intelligence requires AI-capable organizations

JAMIA Open. 2023 May 3;6(2):ooad028. doi: 10.1093/jamiaopen/ooad028. eCollection 2023 Jul.

Authors

Laurie Lovett Novak¹, Regina G Russell², Kim Garvey³, Mehool Patel^{4

5}, Kelly Jean Thomas Craig⁶, Jane Snowdon⁷, Bonnie Miller⁸

Affiliations

¹ Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
² Department of Medical Education and Administration and Office of Undergraduate Medical Education, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
³ Department of Anesthesiology and the Center for Advanced Mobile Healthcare Learning, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
⁴ Department of Internal Medicine, Northeastern Ohio Medical University (NEOMED), Rootstown, Ohio, USA.
⁵ Department of Internal Medicine, Western Reserve Hospital, Cuyahoga Falls, Ohio, USA.
⁶ Clinical Evidence Development, Aetna®, Medical Affairs CVS Health®, Wellesley, Massachusetts, USA.
⁷ Corporate Technical Strategy, IBM® Corporation, Yorktown Heights, New York, USA.
⁸ Department of Medical Education and Administration and Center for Advanced Mobile Healthcare Learning, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Abstract

Artificial intelligence-based algorithms are being widely implemented in health care, even as evidence is emerging of bias in their design, problems with implementation, and potential harm to patients. To achieve the promise of using of AI-based tools to improve health, healthcare organizations will need to be AI-capable, with internal and external systems functioning in tandem to ensure the safe, ethical, and effective use of AI-based tools. Ideas are starting to emerge about the organizational routines, competencies, resources, and infrastructures that will be required for safe and effective deployment of AI in health care, but there has been little empirical research. Infrastructures that provide legal and regulatory guidance for managers, clinician competencies for the safe and effective use of AI-based tools, and learner-centric resources such as clear AI documentation and local health ecosystem impact reviews can help drive continuous improvement.

Keywords: AI competencies; AI implementation; algorithms; artificial intelligence; healthcare management; organizational capabilities.

Publication types

Review