Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial.

ABSTRACT:

Rationale

Clinical decision support (CDS) tools leveraging electronic health records (EHRs) have been an approach for addressing challenges in asthma care but remain under-studied through clinical trials.

Objectives

To assess the effectiveness and efficiency of Asthma-Guidance and Prediction System (A-GPS), an Artificial Intelligence (AI)-assisted CDS tool, in optimizing asthma management through a randomized clinical trial (RCT).

Methods

This was a single-center pragmatic RCT with a stratified randomization design conducted for one year in the primary care pediatric practice of the Mayo Clinic, MN. Children (<18 years) diagnosed with asthma receiving care at the study site were enrolled along with their 42 primary care providers. Study subjects were stratified into t

SUBMITTER: Seol HY 

PROVIDER: S-EPMC8328289 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature