The Synthea Generated Synthetic Data in FHIR hosts over 1 million synthetic patient records generated using Synthea in FHIR format. Exported from the Google Cloud Healthcare API FHIR Store into BigQuery using analytics schema . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This public dataset is also available in Google Cloud Storage and available free to use. The URL for the GCS bucket is gs://gcp-public-data--synthea-fhir-data-1m-patients. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage. Please cite SyntheaTM as: Jason Walonoski, Mark Kramer, Joseph Nichols, Andre Quina, Chris Moesel, Dylan Hall, Carlton Duffett, Kudakwashe Dube, Thomas Gallagher, Scott McLachlan, Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record, Journal of the American Medical Informatics Association, Volume 25, Issue 3, March 2018, Pages 230–238, https://doi.org/10.1093/jamia/ocx079

This data file contains FHIR bundles of observation resources, which were used for the evaluation of the PhenoMan. Originally the observation data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the observations.

This data file contains 8,026,380 observations.

This dataset contains 10,000 synthetic patient records representing a scaled-down US Medicare population. The records were generated by Synthea ( https://github.com/synthetichealth/synthea ) and are completely synthetic and contain no real patient data. This data is presented free of cost and free of restrictions. Each record is stored as one file in HL7 FHIR R4 ( https://www.hl7.org/fhir/ ) containing one Bundle, in JSON. For more information on how this specific population was created, or to generate your own at any scale, see: https://github.com/synthetichealth/populations/tree/master/medicare

This data file contains FHIR bundles of condition resources, which were used for the evaluation of the PhenoMan. Originally the condition data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the conditions.

This data file contains 139,763 conditions.

This data file contains FHIR bundles of allergy intolerance resources, which were used for the evaluation of the PhenoMan. Originally the allergy intolerance data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the allergy intolerances.

This data file contains 563 allergy intolerances.

This dataset contains FHIR-compatible Electronic Health Records (EHR) generated using the Synthea synthetic patient generator. It is specifically designed to benchmark the performance of a blockchain-based EHR solution, NexaEHR, which utilizes smart contracts and IPFS for data storage and management.

The dataset includes 1000 EHR records (files), each representing a separate synthetic record for a persona, with varying sizes. The largest record is approximately 80 MB, simulating the average record size a patient might accumulate annually. These records are intended for testing and evaluating the scalability, efficiency, and effectiveness of blockchain technology in managing and securing healthcare data within a decentralized system.