Assessment of Clinician Diagnostic Concordance With Video Telemedicine in the Integrated Multispecialty Practice at Mayo Clinic During the Beginning of COVID-19 Pandemic From March to June 2020.

Importance: There was a shift in patient volume from in-person to video telemedicine visits during the COVID-19 pandemic. Objective: To determine the concordance of provisional diagnoses established at a video telemedicine visit with diagnoses established at an in-person visit for patients presenting with a new clinical problem. Design, Setting, and Participants: This is a diagnostic study of patients who underwent a video telemedicine consultation followed by an in-person outpatient visit for the same clinical problem in the same specialty within a 90-day window. The provisional diagnosis made during the video telemedicine visit was compared with the reference standard diagnosis by 2 blinded, independent medical reviewers. A multivariate logistic regression model was used to determine factors significantly related to diagnostic concordance. The study was conducted at a large academic integrated multispecialty health care institution (Mayo Clinic locations in Rochester, Minnesota; Scottsdale and Phoenix, Arizona; and Jacksonville, Florida; and Mayo Clinic Health System locations in Iowa, Wisconsin, and Minnesota) between March 24 and June 24, 2020. Participants included Mayo Clinic patients residing in the US without age restriction. Data analysis was performed from December 2020 to June 2021. Exposures: New clinical problem assessed via video telemedicine visit to home using Zoom Care Anyplace integrated into Epic. Main Outcomes and Measures: Concordance of provisional diagnoses established over video telemedicine visits compared against a reference standard diagnosis. Results: There were 2393 participants in the analysis. The median (IQR) age of patients was 53 (37-64) years; 1381 (57.7%) identified as female, and 1012 (42.3%) identified as male. Overall, the provisional diagnosis established over video telemedicine visit was concordant with the in-person reference standard diagnosis in 2080 of 2393 cases (86.9%; 95% CI, 85.6%-88.3%). Diagnostic concordance by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision chapter ranged from 64.7% (95% CI, 42.0%-87.4%) for diseases of the ear and mastoid process to 96.8% (95% CI, 94.7%-98.8%) for neoplasms. Diagnostic concordance by medical specialty ranged from 77.3% (95% CI, 64.9%-89.7%) for otorhinolaryngology to 96.0% (92.1%-99.8%) for psychiatry. Specialty care was found to be significantly more likely than primary care to result in video telemedicine diagnoses concordant with a subsequent in-person visit (odds ratio, 1.69; 95% CI, 1.24-2.30; P < .001). Conclusions and Relevance: This diagnostic study of video telemedicine visits yielded a high degree of diagnostic concordance compared with in-person visits for most new clinical concerns. Some specific clinical circumstances over video telemedicine were associated with a lower diagnostic concordance, and these patients may benefit from timely in-person follow-up.

Rapid Rise of Pediatric Telehealth During COVID-19 in a Large Multispecialty Health System.

Background: Before the COVID-19 pandemic, telemedicine use for outpatient pediatric specialty care was low. Stay-at-home orders (SHO) prompted rapid upscaling of telemedicine capabilities and upskilling of providers. This study compares telemedicine usage before and after the SHO and analyzes how a Children's Center addressed challenges associated with a rapid rise in telemedicine. Methods: Data on outpatient visits across 14 specialty divisions were abstracted from the institutional electronic medical record. The 12-week study period (March 9, 2020-May 29, 2020) spanned three epochs: pre-SHO; post-SHO; reopening to in-person visits. Changes in in-person visits, video visits, and completed, cancelled, and no-show appointments were compared between three epochs. Results: A total of 4,914 outpatient pediatric specialty visits were completed, including 67% (3,296/4,914) in-person and 33% (1,618/4,914) through video. During the first two epochs encompassing the SHO, video visits increased by 4,750%. During the third epoch when the SHO was lifted, video visits decreased by 66%, with 19.4% of visits conducted through video in week 12. Overall, for outpatient video appointments, 82.8% (1,618/1,954) were completed, 9.1% (178/1,954) were cancelled, and 8.1% (158/1,954) were no-shows. The percentage of completed and no-show appointments did not differ between epochs. However, the cancellation rate decreased significantly from Epochs 1 to 3 (p = 0.008). Conclusion: A SHO was associated with a large increase in pediatric specialty video visits. Post-SHO, the percentage of pediatric specialty visits conducted through video decreased but remained higher than before the SHO. Frequent, content-rich communications, self-directed tutorials, and individualized coaching may facilitate successful increases in telemedicine use.

Overview for Implementation of Telemedicine Services in a Large Integrated Multispecialty Health Care System.

This article reviews a systematic approach to implementation of telemedicine services in a large integrated multispecialty health care system. Eight components of operational infrastructure have been identified as essential to effective program deployment and sustainability. These components include (1) dedicated telemedicine staffing infrastructure, (2) functional support partnerships, (3) standardized systems of deployment, (4) refined operational processes and procedures, (5) data analytics, (6) practice partnerships, (7) performance reporting, and (8) provider instruction. Mayo Clinic Center for Connected Care endeavors to share its practice and its learning.