Syntegra Synthetic Claims Data | Medicare Claims | Multiple Formats

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

搜集汇总

背景与挑战

背景概述

该数据集是Syntegra生成的合成Medicare索赔数据，包含患者人口统计、诊断、就诊和支付方信息等字段，以多种格式提供。数据基于约700万患者记录生成，在保持统计准确性的同时消除了隐私风险，并支持按需扩展数据规模和定制人口特征，适用于产品开发、测试和演示等场景。