Staffing models for integration of virtual visits into clinical operations

Amrika Ramjewan, Aaron Stelpflug, Michelle Leung, Sandra Elsen, Pawan Bhandari and Jordan Coffey
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Amrika Ramjewan: Mayo Clinic Innovation Exchange, Discovery & Innovation Building, USA
Aaron Stelpflug: Mayo Clinic, USA
Michelle Leung: Mayo Clinic, USA
Sandra Elsen: Mayo Clinic, USA
Pawan Bhandari: Mayo Clinic, USA
Jordan Coffey: Mayo Clinic, USA

Management in Healthcare: A Peer-Reviewed Journal, 2021, vol. 6, issue 2, 121-133

Abstract: The demand for telehealth services in the United States saw an unprecedented increase following the 2020 COVID-19 pandemic. Prior to the pandemic, intake and virtual rooming functions for scheduled, synchronous video appointments at Mayo Clinic were supported by a small centralised team of virtual agents within its Center for Connected Care (Connected Care). In response to the pandemic-generated demand, Connected Care leveraged its existing model and the support of temporary staff to rapidly scale support for the increased video visit demand across the enterprise. Once demand stabilised in the summer of 2020, Mayo Clinic’s destination medical centres in Minnesota, Florida and Arizona, and Mayo Clinic Health System’s sites in the Midwest, launched pilots to evaluate alternative telehealth delivery models. The goal of these pilots was to test the flexibility of alternative intake models for supporting long-term scalability and growth. Through these pilots, each site developed unique workflows and staffing plans with the overall intake function remaining standardised across all locations. The workflows delineated responsibilities between clinical departments and virtual agents, leveraged current infrastructure and maximised best practices from the original model. This paper outlines the models implemented, and presents lessons learned and best practices garnered from each implementation.

Keywords: telehealth delivery; telemedicine; staffing models (search for similar items in EconPapers)
JEL-codes: I1 I10 (search for similar items in EconPapers)
Date: 2021
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