Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.

Coronavirus Disease 2019 (COVID-19) Surveillance System: Development of COVID-19 Minimum Data Set and Interoperable Reporting Framework

Shanbehzadeh, M., Kazemi-Arpanahi, H., Mazhab-Jafari, K., Haghiri, H.

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Peer Review Study

Data Collection and Analysis
Tools Included
Outside U.S.

Data Collection and Reporting

This article explores the methodology for creating a minimum data set and interoperable reporting framework for effective surveillance of COVID-19. The framework was developed by the Iran Ministry of Health and Mental Education to streamline pandemic surveillance capacity. A combination of literature study and expert consensus approach was used to design a COVID-19 minimum data set (MDS), and the definitive data elements of the MDS were determined by applying the Delphi technique. Existing messaging and data standard templates (Health Level Seven-Clinical Document Architecture [HL7-CDA] and SNOMED-CT) were used to design the surveillance interoperable framework. This article looks at employee-based health plan beneficiary data from 2019 and 2020 to quantify changes in telemedicine and office-based care utilization. The study focuses on demographic and socioeconomic measures and found that telehealth utilization was affected disproportionately by age and poverty rate.

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Outcomes of Interest

Improve Data Infrastructure

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Setting(s) of Implementation


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Implementation Period