General disclaimer This repository was created for use by CDC programs to collaborate on public health related projects in support of the CDC mission. GitHub is not hosted by the CDC, but is a third party website used by CDC and its partners to share information and collaborate on software. CDC use of GitHub does not imply an endorsement of any one particular service, product, or enterprise.
This repository is a part of the CDC/USDS PHDI project and seeks to build the DIBBs Query Connector.
The DIBBs Query Connector app offers a REST API and comprehensive UI for public health staff to query a wide network of healthcare organizations (HCOs), providing access to more complete and timely data.
The Query Connector is a tool for public health practitioners to quickly retrieve patient records and relevant case information from HCOs. The tool works by connecting to Qualified Health Information Networks (QHINs) within the Trusted Exchange Framework and Common Agreement (TEFCA), ensuring immediate access to essential health data and facilitating timely public health decisions and interventions. Public health staff can interact with the Query Connector manually by entering simple patient details — such as name, date of birth, or medical identifiers — into a web-based search form. The tool also allows for automated queries via integration engines like Rhapsody and Mirth.
Current public health systems that 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 is to help the CDC best support PHAs in moving towards a modern public health data infrastructure. See our public website for more details.
The current methods that public health jurisdictions use to collect data from HCOs can be time-consuming and cumbersome, often involving manual interventions like phone calls and faxes. The Query Connector aims to streamline the collection of health data using an intuitive querying process that can leverage QHINs within TEFCA or direct connections, thereby enabling data exchange from multiple HCOs for a variety of public health use cases such as newborn screening or STI case investigation.
DIBBs Query Connector is a sibling project to
- PHDI to further help display, access, and interpret publich health data;
- PRIME ReportStream, which focuses on improving the delivery of COVID-19 test data to public health departments; and
- PRIME SimpleReport, which provides a better way for organizations and testing facilities to report COVID-19 rapid tests to public health departments.
Implementation Support - Resources to help users implement DIBBs Query Connector tools to manage their data.
- Examples - Forthcoming!
- Tutorials - Forthcoming!
DIBBs Query Connector documentation, including instructions on how to install dependencies and run locally, is currently hosted within the repository, here.
Access to the demo instance of the DIBBs Query Connector is available at dibbs.cloud/query-connector.
We mapped the rootnames of the PHDI database to nicknames produced by the aggregation and synthesis of open source work from a number of projects. While we do not employ the packages and wrappers used by the various projects (merely their open source data), we wish to give credit to their various works building collections of nickname mappings. These projects are:
- Secure Enterprise Master Patient Index, based on OpenEMPI, conducted by Vanderbilt University
- Curated Nicknames, scraped from genealogy webpages and run by Old Dominion University Web Science and Digital Libraries Research Group
- Simple Public Domain Nickname Mappings, hand collected using various sources
- Lingua En Nickname, collected from a series of GenWeb projects
- diminutives.db, compiled via a nickname extract using Wikipedia and Wiktionary
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.
This repository contains only non-sensitive, publicly available data and information. All material and community participation is covered by the Disclaimer and Code of Conduct. For more information about CDC's privacy policy, please visit http://www.cdc.gov/other/privacy.html.
Anyone is encouraged to contribute to the repository by forking and submitting a pull request. (If you are new to GitHub, you might start with a basic tutorial.) By contributing to this project, you grant a world-wide, royalty-free, perpetual, irrevocable, non-exclusive, transferable license to all users under the terms of the Apache Software License v2 or later.
All comments, messages, pull requests, and other submissions received through CDC including this GitHub page may be subject to applicable federal law, including but not limited to the Federal Records Act, and may be archived. Learn more at http://www.cdc.gov/other/privacy.html.
See CONTRIBUTING.md for more information.
This repository is not a source of government records, but is a copy to increase collaboration and collaborative potential. All government records will be published through the CDC web site.
Please refer to CDC's Template Repository for more information about contributing to this repository, public domain notices and disclaimers, and code of conduct.