Leveraging Electronic Health Record Data for Timely Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance

Details

• Alternative Title:
  J Public Health Manag Pract
• Personal Author:
  Hohman, Katherine H. ; Martinez, Amanda K. ; Klompas, Michael ; Kraus, Emily M. ; Li, Wenjun ; Carton, Thomas W. ; Cocoros, Noelle M. ; Jackson, Sandra L. ; Karras, Bryant Thomas ; Wiltz, Jennifer L. ; Wall, Hilary K.
• Description:
  Context:
  
  Electronic health record (EHR) data can potentially make chronic disease surveillance more timely, actionable, and sustainable. Although use of EHR data can address numerous limitations of traditional surveillance methods, timely surveillance data with broad population coverage requires scalable systems. This report describes implementation, challenges, and lessons learned from the Multi-State EHR-Based Network for Disease Surveillance (MENDS) to help inform how others work with EHR data to develop distributed networks for surveillance.
  
  Program:
  
  Funded by the Centers for Disease Control and Prevention (CDC), MENDS is a data modernization demonstration project that aims to develop a timely national chronic disease sentinel surveillance system using EHR data. It facilitates partnerships between data contributors (health information exchanges, other data aggregators) and data users (state and local health departments). MENDS uses query and visualization software to track local emerging trends. The program also uses statistical and geospatial methods to generate prevalence estimates of chronic disease risk measures at national and local levels. Resulting data products are designed to inform public health practice and improve the health of the population.
  
  Implementation:
  
  MENDS includes five partner sites that leverage EHR data from 91 health system and clinic partners and represents approximately 10 million patients across the United States. Key areas of implementation include governance, partnerships, technical infrastructure and support, chronic disease algorithms and validation, weighting and modeling, and workforce education for public health data users.
  
  Discussion:
  
  MENDS presents a scalable distributed network model for implementing national chronic disease surveillance that leverages EHR data. Priorities as MENDS matures include producing prevalence estimates at various geographic and subpopulation levels, developing enhanced data sharing and interoperability capacity using international data standards, scaling the network to improve coverage nationally and among underrepresented geographic areas and subpopulations, and expanding surveillance of additional chronic disease measures and social determinants of health.
  
  
• Keywords:
  Chronic Disease Chronic Disease Indicators Data Network Electronic Health Record Electronic Health Records Health Informatics Health Information Technology Humans Hypertension Interoperability Population Health Population Surveillance Prevalence Public Health Public Health Practice Surveillance United States

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• Source:
  J Public Health Manag Pract. 29(2):162-173
• Pubmed ID:
  36715594
• Pubmed Central ID:
  PMC9897452
• Document Type:
  Journal Article
• Funding:
  NU38OT000286/ImCDC/Intramural CDC HHSUnited States/
• Volume:
  29
• Issue:
  2
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:3f41c9a37349cd2396de95cfe17a291cc2bd587ca81c4a3a822d2a7d00c2273c
• Download URL:
  https://stacks.cdc.gov/view/cdc/124328/cdc_124328_DS1.pdf
• File Type:
  [PDF - 1.16 MB ]