Automated patient self-scheduling: case study-Reference-Cited by-同舟云学术

Automated patient self-scheduling: case study

Published:2022-06-02 Issue:9 Volume:29 Page:1637-1641
ISSN:1527-974X
Container-title:Journal of the American Medical Informatics Association
language:en
Short-container-title:

Author:

Woodcock Elizabeth¹^ORCID,Sen Aditi²,Weiner Jonathan²

Affiliation:

1. Department of Health Policy and Management, Rollins School of Public Health, Emory University , Atlanta, Georgia, USA

2. Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA

Abstract

AbstractThis 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.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Link

https://academic.oup.com/jamia/article-pdf/29/9/1637/45444444/ocac087.pdf

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