Syntegra uses advanced machine learning to create high-fidelity, privacy preserved synthetic patient level datasets from real clinical and claims data. Syntegra offers ready made synthetic datasets for those who need data, or custom synthetic data generation for those looking to expand the use and value of their current data.
Free | 1 month subscription available.
1000 synthetic Claims patient records in the FHIR CARIN Blue Button format (https://hl7.org/fhir/us/carin-bb/1_Background.html). This synthetic data is generated using deep generative models trained on real claims data. Additional synthetic data in this format, trained from real patient data, can be provided by Syntegra including generation of custom populations.
Free | 1 month subscription available.
1000 synthetic Medicare claims patient records in an analytics-ready (TUVA-core) format. This synthetic data is generated using deep generative models trained on real clinical data. Additional synthetic data in this format, trained from real patient data, can be provided by Syntegra including generation of custom populations.
Free | 1 month subscription available.
1000 synthetic EHR patient records in the HL7 FHIR USCDI format (https://build.fhir.org/ig/HL7/US-Core). This synthetic data is generated using deep generative models trained on real clinical data.
Free | 1 month subscription available.
1000 synthetic EHR patient records in an analytics-ready (TUVA-core) format. This synthetic data is generated using deep generative models trained on real claims data. Additional synthetic data in this format, trained from real patient data, can be provided by Syntegra including generation of custom populations.
Free | 1 month subscription available.
1000 synthetic Medicare claims patient records in standard CMS-CCLF format. This synthetic data is generated using deep generative models trained on real claims data. Additional synthetic data in this format, trained from real patient data, can be provided by Syntegra including generation of custom populations.
showing 1 - 5