Integrating Predictive Models Into Care: Facilitating Informed Decision-Making and Communicating Equity Issues

AJMC January 12, 2022
Paige Nong, BA, Minakshi Raj, PhD, MPH, Jodyn Platt, PhD, MPH

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in communication with providers and decision makers.

ABSTRACT

Objectives: As predictive analytics are increasingly used and developed by health care systems, recognition of the threat posed by bias has grown along with concerns about how providers can make informed decisions related to predictive models. To facilitate informed decision-making around the use of these models and limit the reification of bias, this study aimed to (1) identify user requirements for informed decision-making and utilization of predictive models and (2) anticipate and reflect equity concerns in the information provided about models.

Study Design: Qualitative analysis...

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