Targeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study.

ABSTRACT:

Introduction

Unnecessary laboratory testing contributes to patient morbidity and healthcare waste. Despite prior attempts at curbing such overutilization, there remains opportunity for improvement using novel data-driven approaches. This study presents the development and early evaluation of a clinical decision support tool that uses a predictive model to help providers reduce low-yield, repetitive laboratory testing in hospitalized patients.

Methods

We developed an EHR-embedded SMART on FHIR application that utilizes a laboratory test result prediction model based on historical laboratory data. A combination of semi-structured physician interviews, usability testing, and quantitative analysis on retrospective laboratory data were used to inform the tool's development and ev

SUBMITTER: Rabbani N 

PROVIDER: S-EPMC9936847 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature