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A Learning Health System Approach to Long COVID Care.
Gustavson, Allison M; Purnell, Amanda; Adly, Marian; Awan, Omar; Bräu, Norbert; Braus, Nicholas A; Bryant, Mon S; Chang, Lynn; Cyborski, Cherina; Darvish, Babak; Del Piero, Larissa B; Eaton, Tammy L; Kiliveros, Amelia; Kloth, Heather; McNiel, Eric R; Miller, Megan A; Patrick, Alana; Powers, Patrick; Pyne, Morgan; Rodriguez, Idelka G; Romesser, Jennifer; Rud, Brittany; Seidel, Ilana; Tepper, Alexandria; Trinh, Hanh; Tonkin, Brionn; Vachachira, Johnson; Yang, Hlee; Shak, Joshua R.
  • Gustavson AM; Veterans Affairs Health Care System, Minnesota.
  • Purnell A; University of Minnesota, Minneapolis.
  • Adly M; Department of Veterans Affairs Central Office, Washington DC.
  • Awan O; Department of Veterans Affairs Central Office, Washington DC.
  • Bräu N; Office of the Chief Technology Officer, Washington DC.
  • Braus NA; Washington DC Veterans Affairs Medical Center.
  • Bryant MS; James J. Peters Veterans Affairs Medical Center, Bronx, New York.
  • Chang L; William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.
  • Cyborski C; Michael E. De- Bakey Veterans Affairs Medical Center, Houston, Texas.
  • Darvish B; West Los Angeles Veterans Affairs Health Care System, California.
  • Del Piero LB; Washington DC Veterans Affairs Medical Center.
  • Eaton TL; West Los Angeles Veterans Affairs Health Care System, California.
  • Kiliveros A; Puget Sound Veterans Affairs Medical Center, Seattle, Washington.
  • Kloth H; University of Washington School of Medicine, Seattle.
  • McNiel ER; University of Michigan, Ann Arbor.
  • Miller MA; James J. Peters Veterans Affairs Medical Center, Bronx, New York.
  • Patrick A; William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.
  • Powers P; William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.
  • Pyne M; Puget Sound Veterans Affairs Medical Center, Seattle, Washington.
  • Rodriguez IG; Minneapolis Veterans Affairs Health Care System, Minnesota.
  • Romesser J; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah.
  • Rud B; University of Utah, Salt Lake City.
  • Seidel I; James A. Haley Veterans' Hospital, Tampa, Florida.
  • Tepper A; James J. Peters Veterans Affairs Medical Center, Bronx, New York.
  • Trinh H; Mount Sinai School of Medicine, New York, New York.
  • Tonkin B; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah.
  • Vachachira J; Minneapolis Veterans Affairs Health Care System, Minnesota.
  • Yang H; San Francisco Veterans Affairs Medical Center, California.
  • Shak JR; Department of Veterans Affairs Central Office, Washington DC.
Fed Pract ; 39(7): 310-314, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-2145304
ABSTRACT

Background:

Global initiatives to mitigate COVID-19 transmission have shifted health system priorities to management of patients with prolonged long COVID symptoms. To better meet the needs of patients, clinicians, and systems, a learning health system approach can use rapid-cycle methods to integrate data and real-world experience to iteratively evaluate and adapt models of long COVID care. Observations Employees in the Veterans Health Administration formed a multidisciplinary workgroup. We sought to develop processes to learn more about this novel long COVID syndrome and innovative long COVID care models that can be applied within and outside of our health care system. We describe our workgroup processes and goals to create a mechanism for cross-facility communication, identify gaps in care and research, and cocreate knowledge on best practices for long COVID care delivery.

Conclusions:

The learning health system approach will be critical in reimagining health care service delivery after the COVID-19 pandemic.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Fed Pract Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: Fed Pract Year: 2022 Document Type: Article