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CDC Launches Updated Strategy to Enhance Public Health Data Sharing and Threat Response

Summary of CDC’s Data Modernization Strategy (2023-2025)

This document outlines⁣ the CDC’s strategy for modernizing public health data systems, ‌focusing on⁢ early threat ‌detection ‍and real-time monitoring. The core goal is to improve the​ speed and efficiency ‌of public⁤ health response by leveraging data⁢ from healthcare systems and expanding data sharing capabilities. This ultimately aims to minimize the burden on healthcare partners during​ outbreaks and ‌investigations.

Key Achievements (2023-2024):

* Increased Electronic Case Reporting (eCR) Adoption: significant progress ‍made ‍in getting healthcare providers to electronically ‌submit case reports.
* Expanded Electronic Lab Reporting: 90%​ of CDC labs now electronically share data with health departments, accelerating​ facts dissemination.
* Routinized Real-Time‍ Reporting: 78% of US hospital EDs provide data to the CDC‍ within 24 hours via the National Syndromic Surveillance Program, enabling monitoring of various health threats.
* Improved Rural Data Access: eCR implementation increased in Critical Access Hospitals (CAHs) from ~300 to 380.
* Respiratory Virus⁤ Data Channel: Launched a⁤ publicly accessible tool ⁢providing up-to-date data on ⁢COVID-19, flu,​ and RSV, receiving over 4 million visits.

Future Direction (2024-2025):

The updated strategy focuses on three key pillars:

* Accelerating eCR Adoption: Continued focus on increasing eCR implementation, particularly in CAHs.
* Connecting Public Health to Health IT: Utilizing frameworks like TEFCA to facilitate faster data sharing between healthcare ⁤systems and public health agencies.
* Expanding Core Data sources: Strengthening data exchange and improving integration/visualization of data from sources like wastewater, hospitalization rates, and hospital bed capacity.
* Prioritizing Health Equity: Increasing reporting on social determinants ⁢of health data to address health disparities.

In essence, the CDC ⁣is working to ‍build a more connected, responsive, and equitable public‍ health data ecosystem. ⁣This involves leveraging ⁢technology, fostering collaboration, ​and prioritizing data that can inform ⁢effective ⁣public health action.

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