Patient safety and healthcare quality of U.S. laboratory developed tests (LDTs) in the AI/ML era of precision medicine

This policy brief summarizes current U.S. regulatory considerations for ensuring patient safety and health care quality of genetic/genomic test information for precision medicine in the era of artificial intelligence/machine learning (AI/ML). The critical role of innovative and efficient laboratory...

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Bibliographic Details
Published inFrontiers in molecular biosciences Vol. 11; p. 1407513
Main Author Kurnat-Thoma, Emma L.
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 05.08.2024
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Summary:This policy brief summarizes current U.S. regulatory considerations for ensuring patient safety and health care quality of genetic/genomic test information for precision medicine in the era of artificial intelligence/machine learning (AI/ML). The critical role of innovative and efficient laboratory developed tests (LDTs) in providing accurate diagnostic genetic/genomic information for U.S. patient- and family-centered healthcare decision-making is significant. However, many LDTs are not fully vetted for sufficient analytic and clinical validity via current FDA and CMS regulatory oversight pathways. The U.S. Centers for Disease Control and Prevention’s Policy Analytical Framework Tool was used to identify the issue, perform a high-level policy analysis, and develop overview recommendations for a bipartisan healthcare policy reform strategy acceptable to diverse precision and systems medicine stakeholders.
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Edited by: Francesca Nencini, University of Florence, Italy
Reviewed by: Bharathikumar Vellalore Maruthachalam, Janssen Research and Development, United States
Tony Badrick, Royal College of Pathologists of Australasia, Australia
ORCID: Emma L. Kurnat-Thoma, orcid.org/0000-0002-5720-8932
ISSN:2296-889X
2296-889X
DOI:10.3389/fmolb.2024.1407513