![]() Department of Veterans Affairs designated Synthea a Technical Reference Model. ![]() The precisionFDA Challenge leveraged 147,000 synthetic patients “to develop and evaluate computational models to predict COVID-19 related health outcomes in Veterans.” Subsequently the U.S. In 2020 the Veterans Health Administration Innovation Ecosystem and Food and Drug Administration used the Synthea Patient Generator to power the COVID-19 Risk Factor Modeling Challenge. Open Source Synthea Embraced and Advanced by Broad Health Community "There is no risk of data spillage or privacy concerns with this method because as ‘real’ as these records appear, they’re created from a model that researchers can adjust to meet their specific needs.” “Instead, Synthea uses population and health statistics to create a realistic, but absolutely not real, population data set from the ground up. “Synthea doesn’t produce deidentified health data,” says Jason Walonoski, MITRE’s senior principal, Health and Life Sciences, and co-creator of Synthea. “Creating this free, publicly available, and open source synthetic patient data generator supporting medical research and innovation underscores our commitment to protect and promote the well-being of the nation.” “We’re honored by the recognition that the Digital Public Goods Alliance has bestowed upon Synthea,” says MITRE’s Chief Medical and Technology Officer, Dr. The designation of digital public good confirms Synthea meets the DPG Standard which includes open source principles and best practices, as well as its potential to tackle global challenges. Governed by an international board including the United Nations Development Programme and UNICEF, the DPGA works to accelerate the attainment of the Sustainable Development Goals in low- and middle-income countries by facilitating the discovery, development, use of, and investment in digital public goods. Synthea produces realistic, but not real, patient population data sets for testing and research. Synthea was developed in 2018 as a MITRE independent research and development (IR&D) project to solve an issue plaguing the health IT community: the lack of realistic patient data to drive innovation. The DPGA’s mission is to promote digital public goods to create a more equitable world. The Digital Public Goods Alliance (DPGA) recognized the public interest impact and added Synthea™ to its DPG Registry. LEFT JOIN measurement mea ON enc.encounterid = mea.Using artificial patient data provides medical communities realistic data to innovate for better patient outcomes. LEFT JOIN labresult lab ON pat.patientid = lab.patientid LEFT JOIN prescription pre ON pat.patientid = pre.patientid LEFT JOIN encounter enc ON pat.patientid = enc.patientid LEFT JOIN diagnosis dia ON pat.patientid = dia.patientid May just want to bug and our other providers until we have ~100 really good sample patient records ?.GitHub some thoughts on this problem, but from a generic FHIR perspective.GitHub - johnschrom/ambulatory-ehr-data: 300k patient records generated to be representative to US-states using NAMCS reference sqlite database.Using GitHub - openemr/demo-data-generator: Generate fictional demo data for testing of OpenEMR, supply realistic test data into OpenEMR with 100% record/encounter coverage. ![]()
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