Informatics response to address the COVID-19 pandemic in a safety net healthcare system

Author:

Sadasivaiah Shobha12,Shaffer Eric13,Enanoria Wayne145,Su George16,Goldman Seth12,Scarafia Jeff3,Lee Tina3,Yu Albert17,Goldman L Elizabeth18,Ratanawongsa Neda189ORCID

Affiliation:

1. San Francisco Department of Public Health Office of Health Informatics, San Francisco, California, USA

2. University of California San Francisco, Department of Medicine, San Francisco, California, USA

3. San Francisco Department of Public Health Information Technology, San Francisco, California, USA

4. San Francisco Department of Public Health, Population Health Division, San Francisco, California, USA

5. University of California San Francisco, Department of Epidemiology and Biostatistics, San Francisco, California, USA

6. San Francisco General Hospital and University of California San Francisco Department of Medicine, Division of Pulmonary, Critical Care, and Sleep, San Francisco, California, USA

7. University of California San Francisco Department of Family and Community Medicine, San Francisco California, USA

8. University of California San Francisco, Department of Medicine, Division of General Internal Medicine, San Francisco, California, USA

9. University of California San Francisco Center for Vulnerable Populations, San Francisco, California, USA

Abstract

Abstract In service of particularly vulnerable populations, safety net healthcare systems must nimbly leverage health information technology (IT), including electronic health records (EHRs), to coordinate the medical and public health response to the novel coronavirus (COVID-19). Six months after the San Francisco Department of Public Health implemented a new EHR across its hospitals and citywide clinics, California declared a state of emergency in response to COVID-19. This paper describes how the IT and informatics teams supported San Francisco Department of Public Health’s goals of expanding the safety net healthcare system capacity, meeting the needs of specific vulnerable populations, increasing equity in COVID-19 testing access, and expanding public health analytics and research capacity. Key enabling factors included critical partnerships with operational leaders, early identification of priorities, a clear governance structure, agility in the face of rapidly changing circumstances, and a commitment to vulnerable populations.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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