Refining Clinical Phenotypes to Improve Clinical Decision Support and Reduce Alert Fatigue: A Feasibility Study.

ABSTRACT:

Background

Chronic kidney disease (CKD) is common and associated with adverse clinical outcomes. Most care for early CKD is provided in primary care, including hypertension (HTN) management. Computerized clinical decision support (CDS) can improve the quality of care for CKD but can also cause alert fatigue for primary care physicians (PCPs). Computable phenotypes (CPs) are algorithms to identify disease populations using, for example, specific laboratory data criteria.

Objectives

Our objective was to determine the feasibility of implementation of CDS alerts by developing CPs and estimating potential alert burden.

Methods

We utilized clinical guidelines to develop a set of five CPs for patients with stage 3 to 4 CKD, uncontrolled HTN, and indications for initiation or

SUBMITTER: Samal L 

PROVIDER: S-EPMC10338104 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature