HHS CDC - Longitudinal, Patient-Level Health Data - MRAS

The Department of Health and Human Services (HHS), through the General Services Administration (GSA), is conducting market research to support the U.S. Centers for Disease Control and Prevention (CDC) in its mission to modernize public health data, surveillance, and informatics capabilities. The CDC's Office of Public Health Data, Surveillance, and Technology (OPHDST) is leading these efforts to ensure timely, accurate, and actionable information for public health decision-making. A key component of this initiative involves leveraging electronic health records (EHRs) as a critical data source for understanding disease epidemiology, monitoring public health threats, and informing policy decisions.

The work requested involves providing the CDC with ongoing access to a large database of de-identified patient-level EHR data that captures detailed clinical information on U.S. population health events at local, state, and national levels. The goal is to enable near-real-time monitoring of disease occurrence, healthcare utilization, and patient outcomes across diverse populations and geographies. This data should be updated daily with minimal lag time between patient encounters and data availability for analysis. The database must support longitudinal analyses by including unique identifiers within and ideally across health systems.

The contractor will be responsible for offering an integrated data analytics platform that allows CDC staff immediate access to analysis-ready data sets. This platform should provide functionalities such as linking methods, analytic tools, software compatibility with common languages used by the CDC, and capabilities for exporting or extracting line-level or aggregated data into CDC's own platforms like EDAV or One CDC Data Platform. Additionally, the platform should support advanced analytics on various healthcare metrics such as mortality rates, medical claims, prescribed medications versus dispensed medications while also considering social determinants of health.

Furthermore, the scope includes ensuring that the EHR database can map diagnoses to SNOMED codes and provide geographic coverage down to 5-digit ZIP code analyses based on patient residential addresses. It should also facilitate mother-child cohort linkage within EHRs to enable longitudinal studies from pregnancy through birth outcomes. Overall, this contract aims to significantly enhance the CDC's ability to conduct robust epidemiologic investigations that inform evidence-based public health actions.