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.

Sustainable Telemedicine: Designing and Building Infrastructure to Support a Comprehensive Telemedicine Practice.

BACKGROUND: Telemedicine services in medical institutions are often developed in isolation of one another and not as part of a comprehensive telemedicine program. The Center for Connected Care is the administrative home for a broad range of telehealth services at Mayo Clinic. This article speaks of real-time video services, referenced as telemedicine throughout. INTRODUCTION: This article discusses how a large healthcare system designed and built the infrastructure to support a comprehensive telemedicine practice. MATERIALS AND METHODS: Based on analysis of existing services, Mayo Clinic developed a multifaceted operational plan that addressed high-priority areas and outlined clear roles and responsibilities of the Center for Connected Care and that of the clinical departments. The plan set priorities and a direction that would lead to long-term success. The plan articulated the governing and operational infrastructure necessary to support telemedicine by defining the role of the Center for Connected Care as the owner of core administrative operations and the role of the clinical departments as the owners of clinical telemedicine services. Additional opportunities were identified to develop product selection processes, implementation services, and staffing models that would be applied to ensure successful telemedicine deployment. RESULTS: The telemedicine team within the Center for Connected Care completed 45 business cases resulting in 54 implementations. The standardization of core products along with key operational offerings around implementation services, and the establishment of a 24/7 support model resulted in improved provider satisfaction and fewer reported technical issues. CONCLUSION: The foundation for long-term scalability and growth was developed by centralizing operations of telemedicine services, implementing sustainable processes, employing dedicated qualified personnel, and deploying robust products.