Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jun 17;11(1):123.
doi: 10.1186/s13643-022-01939-y.

Legal concerns in health-related artificial intelligence: a scoping review protocol

Affiliations

Legal concerns in health-related artificial intelligence: a scoping review protocol

Michael Da Silva et al. Syst Rev. .

Abstract

Background: Medical innovations offer tremendous hope. Yet, similar innovations in governance (law, policy, ethics) are likely necessary if society is to realize medical innovations' fruits and avoid their pitfalls. As innovations in artificial intelligence (AI) advance at a rapid pace, scholars across multiple disciplines are articulating concerns in health-related AI that likely require legal responses to ensure the requisite balance. These scholarly perspectives may provide critical insights into the most pressing challenges that will help shape and advance future regulatory reforms. Yet, to the best of our knowledge, there is no comprehensive summary of the literature examining legal concerns in relation to health-related AI. We thus aim to summarize and map the literature examining legal concerns in health-related AI using a scoping review approach.

Methods: The scoping review framework developed by (J Soc Res Methodol 8:19-32, 2005) and extended by (Implement Sci 5:69, 2010) and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews (PRISMA-ScR) guided our protocol development. In close consultation with trained librarians, we will develop a highly sensitive search for MEDLINE® (OVID) and adapt it for multiple databases designed to comprehensively capture texts in law, medicine, nursing, pharmacy, other healthcare professions (e.g., dentistry, nutrition), public health, computer science, and engineering. English- and French-language records will be included if they examine health-related AI, describe or prioritize a legal concern in health-related AI or propose a solution thereto, and were published in 2012 or later. Eligibility assessment will be conducted independently and in duplicate at all review stages. Coded data will be analyzed along themes and stratified across discipline-specific literatures.

Discussion: This first-of-its-kind scoping review will summarize available literature examining, documenting, or prioritizing legal concerns in health-related AI to advance law and policy reform(s). The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future reforms and regulatory options available to stakeholders in reform processes.

Trial registration: This protocol was submitted to the Open Science Foundation registration database. See https://osf.io/zav7w .

Keywords: Artificial intelligence; Health; Health law; Machine learning; Scoping review.

PubMed Disclaimer

Conflict of interest statement

Dr. Devin Singh is the co-founder and CEO of Hero AI, a healthcare technology start-up company. The other authors declare that they have no competing interests.

Similar articles

Cited by

References

    1. Topol E. Deep medicine: how artificial intelligence can make healthcare human again. New York: Basic Books; 2019.
    1. Topol E. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25:44–56. - PubMed
    1. Gerke S, et al. Ethical and legal challenges of artificially intelligence-driven healthcare. In: Bohr B, Memarzadeh K, et al., editors. Artificial Intelligence in Healthcare. Cambridge: Academic Press; 2020.
    1. Canadian Institute for Advanced Research (CIFAR). AI and Healthcare: A Fusion of Law and Science – An Introduction to the Issues. Toronto: CIFAR; 2021.
    1. Murphy K, et al. Artificial intelligence for good health: a scoping review of the ethics literature. BMC Medical Ethics. 2021;22:1–17. doi: 10.1186/s12910-021-00577-8. - DOI - PMC - PubMed

Publication types

Grants and funding

-