MENDS: A Scalable Model of Leveraging Electronic Health Record Data for National Chronic Disease Surveillance

JPHMP Direct January 31, 2023
Katherine H. Hohman, Amanda K. Martinez, Michael Klompas, Emily M. Kraus, Wenjun Li, Thomas W. Carton, Noelle M. Cocoros, Sandra L. Jackson, Bryant Thomas Karras, Jennifer L. Wiltz, and Hilary K. Wall

The Multi-State EHR-Based Network for Disease Surveillance (MENDS) presents a scalable model for implementing national chronic disease surveillance leveraging electronic health record (EHR) data on broadly distributed large populations in a timely, automated, and sustainable manner.

Traditional public health surveillance methods for non-reportable chronic conditions (eg, population-based surveys) can be largely manual and labor intensive, include limited clinical detail, or be subject to extended delays between data acquisition and dissemination. While traditional surveillance is useful, EHRs have the potential to modernize surveillance by providing clinically detailed data on broadly distributed large populations in a timely, automated, and sustainable manner.

Unlocking the power of EHR data for chronic disease surveillance can provide actionable insights into the geographic patterns and temporal trends...

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