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

Publication ,  Journal Article
Ghildayal, N; Nagavedu, K; Wiltz, JL; Back, S; Boehmer, TK; Draper, C; Gundlapalli, AV; Horgan, C; Marsolo, KA; Mazumder, NR; Reynolds, J ...
Published in: Prev Chronic Dis
July 11, 2024

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Duke Scholars

Published In

Prev Chronic Dis

DOI

EISSN

1545-1151

Publication Date

July 11, 2024

Volume

21

Start / End Page

E51

Location

United States

Related Subject Headings

  • United States
  • SARS-CoV-2
  • Public Health Surveillance
  • Male
  • Humans
  • Female
  • Electronic Health Records
  • COVID-19
  • Atrial Fibrillation
  • 4206 Public health
 

Citation

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Ghildayal, N., Nagavedu, K., Wiltz, J. L., Back, S., Boehmer, T. K., Draper, C., … Block, J. P. (2024). Public Health Surveillance in Electronic Health Records: Lessons From PCORnet. Prev Chronic Dis, 21, E51. https://doi.org/10.5888/pcd21.230417
Ghildayal, Nidhi, Kshema Nagavedu, Jennifer L. Wiltz, Soowoo Back, Tegan K. Boehmer, Christine Draper, Adi V. Gundlapalli, et al. “Public Health Surveillance in Electronic Health Records: Lessons From PCORnet.Prev Chronic Dis 21 (July 11, 2024): E51. https://doi.org/10.5888/pcd21.230417.
Ghildayal N, Nagavedu K, Wiltz JL, Back S, Boehmer TK, Draper C, et al. Public Health Surveillance in Electronic Health Records: Lessons From PCORnet. Prev Chronic Dis. 2024 Jul 11;21:E51.
Ghildayal, Nidhi, et al. “Public Health Surveillance in Electronic Health Records: Lessons From PCORnet.Prev Chronic Dis, vol. 21, July 2024, p. E51. Pubmed, doi:10.5888/pcd21.230417.
Ghildayal N, Nagavedu K, Wiltz JL, Back S, Boehmer TK, Draper C, Gundlapalli AV, Horgan C, Marsolo KA, Mazumder NR, Reynolds J, Ritchey M, Saydah S, Tedla YG, Carton TW, Block JP. Public Health Surveillance in Electronic Health Records: Lessons From PCORnet. Prev Chronic Dis. 2024 Jul 11;21:E51.

Published In

Prev Chronic Dis

DOI

EISSN

1545-1151

Publication Date

July 11, 2024

Volume

21

Start / End Page

E51

Location

United States

Related Subject Headings

  • United States
  • SARS-CoV-2
  • Public Health Surveillance
  • Male
  • Humans
  • Female
  • Electronic Health Records
  • COVID-19
  • Atrial Fibrillation
  • 4206 Public health