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ABSTRACT: Background
Given the costs of machine learning implementation, a systematic approach to prioritizing which models to implement into clinical practice may be valuable.Objective
The primary objective was to determine the health care attributes respondents at 2 pediatric institutions rate as important when prioritizing machine learning model implementation. The secondary objective was to describe their perspectives on implementation using a qualitative approach.Methods
In this mixed methods study, we distributed a survey to health system leaders, physicians, and data scientists at 2 pediatric institutions. We asked respondents to rank the following 5 attributes in terms of implementation usefulness: the clinical problem was common, the clinical problem caused substanti
SUBMITTER: Alexander N
PROVIDER: S-EPMC9716421 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature