Literature DB >> 34748431

Measuring Telehealth Visit Length and Schedule Adherence Using Videoconferencing Data.

Xu Zhang1, Yungui Huang1, Jennifer Lee2,3, Rajesh Ganta1, Aarti Chandawarkar2,4, Simon Lin Linwood1.   

Abstract

Background: The ability to measure clinical visit length is critical for operational efficiency, patient experience, and accurate billing. Despite the unprecedented surge in telehealth use in 2020, studies on visit length and schedule adherence in the telehealth setting are nonexistent in the literature. This article aims to demonstrate the use of videoconferencing data to measure telehealth visit length and schedule adherence. Materials and
Methods: We used data from telehealth video visits at four clinical specialties at Nationwide Children's Hospital, including behavioral health (BH), speech pathology (SP), physical therapy/occupational therapy (PT/OT), and primary care (PC). We combined videoconferencing timestamp data with visit scheduling data to calculate the total visit length, examination length, and patient wait times. We also assessed schedule adherence, including patient on-time performance, examination on-time performance, provider schedule deviations, and schedule length deviations.
Results: The analyses included a total of 175,876 telehealth video visits. On average, children with BH appointments spent a total of 57.2 min for each visit, followed by PT/OT (50.8 min), SP (42.1 min), and PC (25.0 min). The average patient wait times were 4.1 min (BH), 2.7 min (PT/OT), 2.8 min (SP), and 3.1 min (PC). The average examination lengths were 48.8 min (BH), 44.5 min (PT/OT), 34.9 min (SP), and 16.6 min (PC). Regardless of clinical specialty, actual examination lengths of most visits were shorter than the scheduled lengths, except that appointments scheduled for 15 min tended to run overtime. Conclusions: Videoconferencing data provide a low-cost, accurate, and readily available resource for measuring telehealth visit length and schedule adherence.

Entities:  

Keywords:  schedule adherence; telehealth; telemedicine; timestamp data; video visit; visit length; wait time

Mesh:

Year:  2021        PMID: 34748431     DOI: 10.1089/tmj.2021.0382

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   5.033


  1 in total

1.  The use of telemedicine in pre-surgical evaluation: a retrospective cohort study of a neurosurgical oncology practice.

Authors:  Rupert D Smit; Nikolaos Mouchtouris; Maikerly Reyes; Keenan Piper; Siyuan Yu; Sarah Collopy; Nicolas Nelson; Giyarpuram Prashant; Christopher Farrell; James J Evans
Journal:  J Neurooncol       Date:  2022-07-28       Impact factor: 4.506

  1 in total

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