Enterprise Approach to Data Systems Modernization

Definition:   

An enterprise approach considers the entirety of data systems contributing to public health and incorporates new digital technologies across programs, partners, and all levels of government. With a focus on the future of public health, this approach includes integration and standardization of processes and procedures. Shared solutions facilitate data collection, utilization, and dissemination and are leveraged across the enterprise to ensure more efficient and sustainable information technology resources and approaches. 

National Picture:   

Traditionally, public health agencies have been characterized as siloed, with data modernization efforts dispersed among various programs without a unified enterprise approach.  The advancement of public health enterprise strategy relies on sustained, program-agnostic funding that supports agency-wide infrastructure. As part of its Public Health Data Strategy, the Centers for Disease Control and Prevention (CDC) seeks to identify and adopt ready-to-use tools to promote data sharing. The CDC’s 2022 Data Modernization Initiative (DMI) Snapshot underscores the imperative unification of data elements, standards, exchange, and architecture to elevate the enterprise. Together, this work ensures “building the right foundation” remains the priority.  

• Enhancing a “Mother-Baby” linked surveillance system for improved rapid response in California
• Colorado data modernization: Assessment to action​
• Modernizing data systems in Missouri
• Dallas County’s award-winning approach modernizes public health disease surveillance to meet pandemic demands
• Oregon creating central, standardized database of population estimates
• How far we have come: A Tennessee COVID-19 surveillance system evaluation
  
• Development and use of Salesforce as a COVID-19 surveillance system
• Texas State Health Analytics and Reporting Platform (SHARP)