Litcius/Paper detail

Automated patient self-scheduling: case study

Elizabeth Woodcock, Aditi P. Sen, Jonathan P. Weiner

2022Journal of the American Medical Informatics Association18 citationsDOIOpen Access PDF

Abstract

This case study assesses the uptake, user characteristics, and outcomes of automated self-scheduling in a community-based physician group affiliated with an academic health system. We analyzed 1 995 909 appointments booked between January 1, 2019, and June 30, 2021 at more than 30 practice sites. Over the study period, uptake of self-scheduling increased from 4% to 15% of kept appointments. Younger, commercially insured patients were more likely to be users. Missed appointments were lower and cancelations were higher for self-scheduled patients. An examination of characteristics, benefits, and usage of automated self-scheduling provides insight to those organizations contemplating the implementation or expansion of similar consumer-facing digital self-scheduling platforms.

Topics & Concepts

Scheduling (production processes)Computer scienceMedicineOperations managementEngineeringHealthcare Operations and Scheduling OptimizationMobile Health and mHealth ApplicationsHealthcare Systems and Technology