Skip to main content
NEJM AI homepage

Monthly & Annual Options

Subscribe Now

Monthly & Annual Options

Subscribe Now

This article is available to subscribers. Subscribe now

Already a subscriber? Sign in

Abstract

Regulatory bodies are struggling to determine effective ways to regulate artificial intelligence (AI)-driven health care solutions, which repeatedly exhibit suboptimal performance and unexpected outcomes when used in new settings. Existing evaluation frameworks are typically structured as textual discussions that are difficult to translate into practical assessments of AI solutions and that often fail to consider the perspectives of specific populations and data in a designated deployment setting. Health care organizations, faced with an increasing deluge of AI solutions offerings, need a down-to-earth, executable framework that will enable setting-specific assessments of the appropriateness of AI-driven solutions. This need also arose at Clalit Health Services, a large public health care organization where AI solutions have been integrated into care for more than a decade. In response, we developed a comprehensive, practical checklist tool to assess AI solutions in health care organizations. The checklist, named OPTICA (Organizational PerspecTIve Checklist for AI solutions adoption), comprises 13 chapters, each containing 3 to 12 checklist items. We identified five main stakeholders who would generally be required to participate in the checklist completion, defined which checklist items should be completed by each stakeholder, and designated a completion order based on dependencies between checklist items. OPTICA, which has already been tested in a variety of cases, provides a practical, structured, end-to-end process for evaluating AI solutions in new clinical settings, from the unique perspective of the implementing organization.

Understand the impact of AI on your practice. Get the tools to evaluate the risks.

Monthly & Annual Options

Notes

A data sharing statement provided by the authors is available with the full text of this article.
This study was supported by the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute.
Disclosure forms provided by the authors are available with the full text of this article.

Supplementary Material

Supplementary Appendix (aics2300269_appendix.pdf)
Disclosure Forms (aics2300269_disclosures.pdf)
Data Sharing Statement (aics2300269_data-sharing.pdf)

Information & Authors

Information

Published In

History

Submitted: November 28, 2023
Accepted: June 26, 2024
Published online: August 14, 2024
Published in issue: August 22, 2024

Topics

Authors

Affiliations

Noa Dagan, M.D., Ph.D., M.P.H. https://orcid.org/0000-0001-8811-7825
Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel
Software and Information Systems Engineering, Ben Gurion University of the Negev, Be’er Sheva, Israel
The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Israel and Boston
Biomedical Informatics Department, Harvard Medical School, Boston
Stav Devons-Sberro, M.D. https://orcid.org/0009-0003-3947-6225
Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel
Hospital Division, Clalit Health Services, Tel Aviv, Israel
Lilach Zoller, M.D., M.B.A. https://orcid.org/0009-0009-1978-5796
Hospital Division, Clalit Health Services, Tel Aviv, Israel
Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel
Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel
Nir Shahar, B.Sc., M.B.A. https://orcid.org/0009-0003-7937-1620
Digital and IT Division, Clalit Health Services, Tel Aviv, Israel
Reut Ohana, M.Sc., e.M.B.A. https://orcid.org/0009-0001-1216-5625
Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel
The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Israel and Boston
Orly Weinstein, M.D., M.H.A. https://orcid.org/0000-0002-7913-513X
Hospital Division, Clalit Health Services, Tel Aviv, Israel
Department of Health Systems Management, Faculty of Health Sciences, Ben Gurion University of the Negev, Be’er Sheva, Israel
Community Medicine Division, Clalit Health Services, Tel Aviv, Israel
Adelson School of Medicine, Ariel University, Ariel, Israel
Digital and IT Division, Clalit Health Services, Tel Aviv, Israel
Ran D. Balicer, M.D., Ph.D., M.P.H. https://orcid.org/0000-0002-7783-6362 [email protected]
Clalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel
The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Israel and Boston
School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be’er Sheva, Israel

Notes

Prof. Balicer can be contacted at [email protected] or at Clalit Research Institute, Clalit Innovation, Clalit Health Services, 40 Tuval St., Ramat Gan, Israel.

Metrics & Citations

Metrics

Altmetrics

Citations

Export citation

Select the format you want to export the citation of this publication.

Cited by

  1. Editorial Commentary: The Scope of Medical Research Concerning ChatGPT Remains Limited by Lack of Originality and Leaves More Questions Than Answers, Arthroscopy: The Journal of Arthroscopic & Related Surgery, (2024).https://doi.org/10.1016/j.arthro.2024.09.013
    Crossref
Loading...

View Options

View options

PDF

View PDF

Full Text

View Full Text

Media

Figures

Other

Tables

Share

Share

CONTENT LINK

Share

Evaluating clinical AI: Be empowered with the evidence you need.

Monthly & Annual Options

Subscribe Now