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Development and Evaluation of the Algorithm CErtaInty Tool (ACE-IT) to Assess Electronic Medical Record and Claims-based Algorithms' Fit for Purpose for Safety Outcomes.

Sonal SinghJulie BeyrerXiaofeng ZhouJoel SwerdelRaymond A HarveyKenneth HornbuckleLeo RussoKanwal GhauriIvan H Abi-EliasJohn S CoxCarla Rodriguez-Watson
Published in: Drug safety (2022)
The ACE-IT supports a structured, transparent, and flexible approach for decision-makers to appraise whether electronic health record or medical claims-based algorithms for safety outcomes are FFP for a specific decision context. Reliability and validity testing using a larger sample of participants in other therapeutic areas and further modifications to reduce the time needed to complete the assessment are needed to fully evaluate its utility for regulatory decision-making.
Keyphrases
  • decision making
  • electronic health record
  • machine learning
  • deep learning
  • health insurance
  • angiotensin ii
  • healthcare
  • clinical decision support
  • type diabetes
  • adverse drug
  • solid state