Work

Secondary Use of Electronic Health Record Data for Prediction of Outpatient Visit Length in Ophthalmology Clinics.

Year: 2018

Type: conference-paper

Abstract: Electronic health record systems have dramatically transformed the process of medical care, but one challenge has been increased time requirements for physicians. In this study, we address this challenge by developing and validating analytic models for predicting patient encounter length based on secondary EHR data. Key findings from this study are: (1) Secondary use of EHR data may be captured to predict provider interaction time with patients; (2) Modeling results using secondary data may provide more accurate predictions of provider interaction time than an expert provide; (3) These findings suggest that secondary use of EHR data may be used to develop effective customized scheduling methods to improve clinical efficiency. In the future, this has the potential to contribute toward methods for improved clinical scheduling and efficiency.

Source: PubMed

Authors: Wei-Chun Lin, Isaac H Goldstein, Michelle R Hribar, Abigail Huang, Michael F Chiang

Institutions: Oregon Health & Science University, Portland VA Medical Center, VA Portland Health Care System

Language: English

Topic: Healthcare Operations and Scheduling Optimization

Subfield: Emergency Medical Services

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Awards: Modeling and Optimization of Clinical Processes Using EHR Data, Research Training in Biomedical Informatics and Data Science at Oregon Health & Science University