Work

Lessons for local oversight of AI in medicine from the regulation of clinical laboratory testing

Year: 2024

Type: article

Abstract: Current regulatory frameworks for artificial intelligence-based clinical decision support (AICDS) are insufficient to ensure safety, effectiveness, and equity at the bedside. The oversight of clinical laboratory testing, which requires federal- and hospital-level involvement, offers many instructive lessons for how to balance safety and innovation and warnings regarding the fragility of this balance. We propose an AICDS oversight framework, modeled after clinical laboratory regulation, that is deliberative, inclusive, and collaborative.

Source: npj Digital Medicine

DOI: 10.1038/s41746-024-01369-1

Authors: Daniel S. Herman, Jenna T. Reece, Gary E. Weissman

Institutions: Leonard Davis Institute of Health Economics, University of Pennsylvania

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,790