Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper

Carolyn Petersen, Jeffery Smith, Robert R. Freimuth, Kenneth W. Goodman, Gretchen Purcell Jackson, Joseph Kannry, Hongfang Liu, Subha Madhavan, Dean F. Sittig, Adam Wright

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data-here referred to as Adaptive CDS-present unique challenges and considerations. Although Adaptive CDS represents an expected progression from earlier work, the activities needed to appropriately manage and support the establishment and evolution of Adaptive CDS require new, coordinated initiatives and oversight that do not currently exist. In this AMIA position paper, the authors describe current and emerging challenges to the safe use of Adaptive CDS and lay out recommendations for the effective management and monitoring of Adaptive CDS.

Original languageEnglish (US)
Pages (from-to)677-684
Number of pages8
JournalJournal of the American Medical Informatics Association : JAMIA
Volume28
Issue number4
DOIs
StatePublished - Mar 18 2021

Keywords

  • artificial intelligence
  • clinical decision support
  • health policy
  • machine learning
  • software as a medical device

ASJC Scopus subject areas

  • Health Informatics

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