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The PRIME Public Health Data Infrastructure projects are part of the Pandemic-Ready Interoperability Modernization Effort, a multi-year collaboration between CDC and the U.S. Digital Service (USDS) to strengthen data quality and information technology systems in state and local health departments.
This repository represents the source code for three related workstreams in this area:
- Data Storage, Tooling, and Preparation (DSTP) - Assist STLTs in implementing modern infrastructure that is flexible enough to allow jurisdictions to prepare for as-of-yet unknown use cases, while providing a long-term storage mechanism and query solution for effective daily use and timely response.
- Common Data Model - Define USCDI+ for Public Health and implementation guidance that specifies common data elements, value sets, and APIs to enable interoperability, data cleaning, and data linkage across the ecosystem of public health data senders and receivers
- Workbench - Develop a platform for high quality tools, services, analytical products, and reporting that addresses identified pain points for data receivers/public health departments, and incentivizes adoption of the Common Data Model
All three projects will begin with a time-limited prototype, focused on working with raw ELR, eCR, and VXU data from the commonwealth of Virginia Department of Health, for the purpose of experimenting with a unified data lake paradigm. Over time they will evolve to tackle new STLTs and new challenges around data quality and standardization.
The PRIME Public Health Data Infrastructure prototype a sibling project to PRIME ReportStream, focusing on delivering COVID-19 test data to public health departments, and PRIME SimpleReport, working on a better way to report COVID-19 rapid tests.
Long-term Vision for all three workstreams: Public health systems to digest, analyze, and respond to data are siloed. Lacking access to actionable data, our national, as well as state, local, and territorial infrastructure, isn’t pandemic-ready. Our objective was to learn how the CDC can best support STLTs in moving towards a modern public health data infrastructure.
Vision for short-term prototype: The Commonwealth of Virginia Department of Public Health would like to move towards a more ‘holistic’ solution for electronic data processing and integration, so that currently siloed datasets can be processed and ultimately used in a more efficient and effective manner. Specifically, in order to support the vision of ‘holistic processing’, this prototype is focusing the on seeing what can be done with raw data, focused on COVID-19 breakthrough cases.
Eventual target users of this system include:
- Public Health Departments
- Epidemiologists who rely on health data to take regular actions
- Senior stakeholders who make executive decisions using aggregate health data
- IT teams who have to support epidemiologists and external stakeholders integrating with the PHD
- PHDs may include state, county, city, and tribal organizations
To start development against this project, please consult the Getting Started doc for more details on setting up local development environments, deployments, and more.
See A record of all decisions that have been made on the project and propose your own by going to the decisions directory and following instructions there.
This repository constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105. This repository is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication. All contributions to this repository will be released under the CC0 dedication. By submitting a pull request you are agreeing to comply with this waiver of copyright interest.
This project is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication. All contributions to this project will be released under the CC0 dedication. By submitting a pull request or issue, you are agreeing to comply with this waiver of copyright interest and acknowledge that you have no expectation of payment, unless pursuant to an existing contract or agreement.
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