License patient-level, synthetic claims data that is built from the statistical distribution of real, U.S.-based healthcare data. Augment the original data by expanding small cohorts and rare populations or balancing biased populations. Organizations can license synthetic, Medicare claims data generated by Syntegra. Example fields in the claims data include: Patient demographics (gender, race, etc.), Diagnosis & procedure information (ICD-10 code, description, physician NPI, etc.), Encounter and discharge information, Payer coverage and payer type, and Claim information (claim ID, bill code, encounter ID, etc.). The claims data is available in the following formats: Cleaned, analytics-ready (a layer of clean and normalized concepts in Tuva Health’s standard relational data model format FHIR CARIN for Blue Button Medicare Standard CCLF Our synthetic data engine is trained on a broadly representative dataset made up of diverse, realistic healthcare information of approximately 7 million unique patient records. Notably, synthetic data generation allows for the creation of any number of records needed to power your project. The synthetic data maintains full statistical accuracy, yet does not contain any actual patients, thus removing any patient privacy liability risk. Privacy is preserved in a way that goes beyond HIPAA or GDPR compliance. Our industry-leading metrics prove that both privacy and fidelity are fully maintained. — Generate the data needed for product development, testing, demo, or other needs — Access data at a scalable price point — Build your desired population, both in size and demographics — Scale up and down to fit specific needs, increasing efficiency and affordability Syntegra's synthetic data engine also has the ability to augment the original data: — Expand population sizes, rare cohorts, or outcomes of interest — Address algorithmic fairness by correcting bias or introducing intentional bias — Conditionally generate data to inform scenario planning