Public Health Surveillance in Electronic Health Records: Lessons From PCORnet.


Journal

Preventing chronic disease
ISSN: 1545-1151
Titre abrégé: Prev Chronic Dis
Pays: United States
ID NLM: 101205018

Informations de publication

Date de publication:
11 Jul 2024
Historique:
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 11 7 2024
Statut: epublish

Résumé

PCORnet, the National Patient-Centered Clinical Research Network, is a large research network of health systems that map clinical data to a standardized data model. In 2018, we expanded existing infrastructure to facilitate use for public health surveillance. We describe benefits and challenges of using PCORnet for surveillance and describe case studies. In 2018, infrastructure enhancements included addition of a table to store patients' residential zip codes and expansion of a modular program to generate population health statistics across conditions. Chronic disease surveillance case studies conducted in 2019 assessed atrial fibrillation (AF) and cirrhosis. In April 2020, PCORnet established an infrastructure to support COVID-19 surveillance with institutions frequently updating their electronic health record data. By August 2023, 53 PCORnet sites (84%) had a 5-digit zip code available on at least 95% of their patient populations. Among 148,223 newly diagnosed AF patients eligible for oral anticoagulant (OAC) therapy, 43.3% were on any OAC (17.8% warfarin, 28.5% any novel oral anticoagulant) within a year of the AF diagnosis. Among 60,268 patients with cirrhosis (2015-2019), common documented etiologies included unknown (48%), hepatitis C infection (23%), and alcohol use (22%). During October 2022 through December 2023, across 34 institutions, the proportion of COVID-19 patients who were cared for in the inpatient setting was 9.1% among 887,051 adults aged 20 years or older and 6.0% among 139,148 children younger than 20 years. PCORnet provides important data that may augment traditional public health surveillance programs across diverse conditions. PCORnet affords longitudinal population health assessments among large catchments of the population with clinical, treatment, and geographic information, with capabilities to deliver rapid information needed during public health emergencies.

Identifiants

pubmed: 38991533
doi: 10.5888/pcd21.230417
pii: E51
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

E51

Auteurs

Nidhi Ghildayal (N)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Kshema Nagavedu (K)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Jennifer L Wiltz (JL)

National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.

Soowoo Back (S)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Tegan K Boehmer (TK)

Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia.

Christine Draper (C)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Adi V Gundlapalli (AV)

Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia.

Casie Horgan (C)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Keith A Marsolo (KA)

Department of Population Health Sciences, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.

Nik R Mazumder (NR)

Department of Internal Medicine, University of Michigan Health, Ann Arbor, Michigan.

Juliane Reynolds (J)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts.

Matthew Ritchey (M)

Office of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, Georgia.

Sharon Saydah (S)

Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia.

Yacob G Tedla (YG)

Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Thomas W Carton (TW)

Louisiana Public Health Institute, New Orleans, Louisiana.

Jason P Block (JP)

Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, 401 Park Dr, Ste 401, Boston, MA 02215 (jblock1@mgb.org).

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