Patient no-show predictive model development using multiple data sources for an effective overbooking approach.

ABSTRACT:

Background

Patient no-shows in outpatient delivery systems remain problematic. The negative impacts include underutilized medical resources, increased healthcare costs, decreased access to care, and reduced clinic efficiency and provider productivity.

Objective

To develop an evidence-based predictive model for patient no-shows, and thus improve overbooking approaches in outpatient settings to reduce the negative impact of no-shows.

Methods

Ten years of retrospective data were extracted from a scheduling system and an electronic health record system from a single general pediatrics clinic, consisting of 7,988 distinct patients and 104,799 visits along with variables regarding appointment characteristics, patient demographics, and insurance information. Descriptive stat

SUBMITTER: Huang Y 

PROVIDER: S-EPMC4187098 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature