Rapid implementation of a COVID-19 remote patient monitoring program

Tucker Annis, Susan Pleasants, Gretchen Hultman, Elizabeth Lindemann, Joshua A. Thompson, Stephanie Billecke, Sameer Badlani, Genevieve B. Melton

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Objective: The study sought to evaluate early lessons from a remote patient monitoring engagement and education technology solution for patients with coronavirus disease 2019 (COVID-19) symptoms. Materials and Methods: A COVID-19–specific remote patient monitoring solution (GetWell Loop) was offered to patients with COVID-19 symptoms. The program engaged patients and provided educational materials and the opportunity to share concerns. Alerts were resolved through a virtual care workforce of providers and medical students. Results: Between March 18 and April 20, 2020, 2255 of 3701 (60.93%) patients with COVID-19 symptoms enrolled, resulting in over 2303 alerts, 4613 messages, 13 hospital admissions, and 91 emergency room visits. A satisfaction survey was given to 300 patient respondents, 74% of whom would be extremely likely to recommend their doctor. Discussion: This program provided a safe and satisfying experience for patients while minimizing COVID-19 exposure and in-person healthcare utilization. Conclusions: Remote patient monitoring appears to be an effective approach for managing COVID-19 symptoms at home.

Original languageEnglish (US)
Pages (from-to)1326-1330
Number of pages5
JournalJournal of the American Medical Informatics Association
Volume27
Issue number8
DOIs
StatePublished - Aug 1 2020

Bibliographical note

Funding Information:
Our heartfelt gratitude goes out to the tireless efforts of our information technology teams, the team at GetWell Loop, MHealth Fairview operational leaders, academic faculty at the University of Minnesota, medical students, doctor of nursing practice students, residents, and faculty in the M Health Fairview Virtual Care Rotation.

Keywords

  • Covid-19
  • Patient education
  • Patient generated data
  • Remote patient monitoring
  • Telehealth

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