Electronic Case Reporting (eCR)


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Electronic Case Reporting (eCR)


Electronic Case Reporting (eCR) is the automated generation and transmission of case reports from the electronic health record (EHR) to public health agencies for review and action. eCR makes disease reporting from healthcare to public health faster and easier.

Reporting infectious diseases is an important component of overall public health.

This use case allows healthcare providers to send case reports regarding a patient’s infectious disease status to the NJDOH as per the state reporting requirements.

eCR improves the detection of outbreaks, allowing for earlier interventions, as well as diminishes the burden on healthcare providers to report data to local jurisdictions.

eCR's Value


  • Enables bi-directional data exchange between healthcare providers and public health
  • Provides immediate feedback from public health to healthcare about reportable conditions and possible outbreaks
  • Reduces the burden of manual reporting on healthcare facilities and providers and entry of information on public health agencies
  • Improves completeness of reporting, including demographics that allows for expedited case investigation and contact tracing


Healthcare Provider Benefits


  • eCR reduces burden on healthcare professionals, staff, and facilities without disrupting the clinical workflow
  • Fulfills legal reporting requirements
  • Connects in real-time with your public health agency
  • Offers credit for the CMS Promoting Interoperability Program for implementing eCR
  • Supports outbreak readiness and most report-ability conditions

Public Health Agency Benefits


  • eCR provides more complete data from the electronic initial case report for a better public health response
  • Reduces response time with automated information during outbreaks and public health emergencies
  • Improves communication and collaboration with healthcare providers
  • Shares critical information with healthcare providers
  • Monitors the spread of reportable conditions like COVID-19


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