Electronic case reporting (eCR) of COVID-19 to public health: implementation perspectives from the Minnesota Department of Health

Sripriya Rajamani, Ann Kayser, Ali Ruprecht, Jacqueline Cassman, Megan Polzer, Teri Homan, Ann Reid, Melinda Hanson, Emily Emerson, Aasa Dahlberg Schmit, Sarah Solarz

Research output: Contribution to journalArticlepeer-review


Electronic case reporting (eCR) is the automated generation and transmission of case reports from electronic health records to public health for review and action. These reports (electronic initial case reports: eICRs) adhere to recommended exchange and terminology standards. eCR is a partnership of the Centers for Disease Control and Prevention (CDC), Association of Public Health Laboratories (APHL) and Council of State and Territorial Epidemiologists (CSTE). The Minnesota Department of Health (MDH) received eICRs for COVID-19 from April 2020 (3 sites, manual process), automated eCR implementation in August 2020 (7 sites), and on-boarded ∼1780 clinical units in 460 sites across 6 integrated healthcare systems (through March 2022). Approximately 20 000 eICRs/month were reported to MDH during high-volume timeframes. With increasing provider/health system implementation, the proportion of COVID-19 cases with an eICR increased to 30% (March 2022). Evaluation of data quality for select demographic variables (gender, race, ethnicity, email, phone, language) across the 6 reporting health systems revealed a high proportion of completeness (>80%) for half of variables and less complete data for rest (ethnicity, email, language) along with low ethnicity data (<50%) for one health system. Presently eCR implementation at MDH includes only one EHR vendor. Next steps will focus on onboarding other EHRs, additional eICR data extraction/utilization, detailed analysis, outreach to address data quality issues, and expanding to other reportable conditions.

Original languageEnglish (US)
Pages (from-to)1958-1966
Number of pages9
JournalJournal of the American Medical Informatics Association : JAMIA
Issue number11
StatePublished - Oct 7 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association.


  • COVID-19
  • electronic case reporting
  • interoperability
  • public health informatics
  • public health reporting
  • standards

PubMed: MeSH publication types

  • Journal Article
  • Research Support, U.S. Gov't, P.H.S.


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