This data set is made up of highly realistic, but synthetic patient data that can be used for testing purposes without risk of disclosing PHI (protected health information).
We offer bespoke synthetic data to meet your needs. Contact us for more information.
When Judy found out she was pregnant, she was ecstatic. She and her husband had been trying to conceive for quite a long time and she was very eager to talk with her provider about how she could take care of her body during pregnancy. Judy’s doctor was wonderfully helpful in explaining exactly what she should do to care for herself and the baby. Judy attended every appointment, screening and scan to monitor her little one. She followed all of her doctors orders to ensure she and her growing baby were both happy and healthy. She can't wait for her baby to arrive!
Healthcare data is protected by HIPAA regulations that safeguard patient confidentiality. Interoperability Institute creates synthetic discrete individual persona healthcare data records. These personas emulate a realistic longitudinal patient story with clinical and claims data that humanize the synthetic medical records. Personas are generated in JSON and can be used for testing in a R4 FHIR HAPI Server. These records are highly realistic and even include gaps of information like a patient record in a real-world healthcare ecosystem.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension called Product Access (Units). You buy units under a contract to gain access to the synthetic healthcare dataset built for pregnancy scenarios. There are no separate tiers or instance sizes. Pricing scales with the number of units you purchase. Each unit grants access to the product, so you can adjust the quantity to match your needs. The dataset is fully synthetic and contains no real patient information, making it suitable for testing, research, and model training.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants access to the synthetic healthcare dataset built for pregnancy scenarios. The data is fully synthetic and contains no real patient information (PHI or PII). You can use it for testing, research, and training or refining machine learning models and applications.
How does my cost change if I need access for more work?
Cost scales with the number of Product Access units you purchase. There are no separate tiers or instance sizes. You adjust the quantity to match your needs, so buying more units increases the total under your contract.
Is this a pay-as-you-go option or an upfront commitment?
This listing uses a contract pricing model. You purchase Product Access units upfront to gain access to the dataset, rather than metering usage by the hour. This suits planned research, testing, or model-training projects with known access needs.
interoperabilityinstitute.org
Helpful?
Vendor refund policy
Refunds are not offered for this product.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
This data set is made up of highly realistic, but synthetic patient data that can be used for testing purposes without risk of disclosing PHI (protected health information).
We offer bespoke synthetic data to meet your needs. Contact us for more information.
DataMasque is a data masking platform that transforms sensitive production data into realistic, fully functional and privacy-compliant datasets.
Its synthetically identical data preserves the statistical characteristics, complexity and edge cases of your original data while maintaining referential integrity and data consistency - without sensitive information ever leaving your secure environment.
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.