Sold by: Interoperability Institute LLC
Deployed on AWS
Using a statistic population health model generator, 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).
This dataset is for single organization use only. Please contact us for more information on synthetic datasets for multi-partner use, FHIR server options available for testing, or hand curated datasets to meet your needs.
Overview
This data pack is a synthetic healthcare dataset comprised of 2500 patients with 5 years of longitudinal history. Using a Monte Carlo simulation technique, each synthetic record is modeled to emulate clinically relevant treatment scenarios. During the generation synthetic patients progress through a series of healthcare encounters. It is these encounters and their events that are used to generate the dataset which is comprised of healthcare data messages across several HL7 messaging standards.
These records are highly realistic and even include gaps of information like a patient record in a real-world healthcare ecosystem.
Common conditions that may be contained in the data pack:
Appendicitis
Cancer
Covid
Deep venous thrombosis
Diabetes
Food Insecurity (SDOH)
Hypertension
Osteoporosis
Pregnancy
Pulmonary embolism
STIs
Zika
HL7 Message standards output that may be included for a synthetic patient record:
ADT
Admission, Discharge, Transfer (ADT) messages are used to communicate patient demographics, visit information and patient state at a healthcare facility.
This synthetic data set contains the following number of synthetic Admit, Discharge and Transfer (ADT) messages in HL7 messaging standard version 2.6 with the following event types:
A01 - Admit / visit notification
A03 - Discharge/end visit
A04 - Register a patient
Message count in data set:
8,518 total A01
33 total A02
8,518total A03
92,752 total A04
VXU
Unsolicited Vaccination Update (VXU) messaged are used to receive and send patient vaccination information. This synthetic data set contains synthetic Unsolicited Vaccination Record (VXU) messages in HL7 messaging standard version 2.5.1 with an event type of V04.
Message count in data set: 34,908
ORU
ORUs are unsolicited transmission of an observation message designed contain information about patient clinical observations and are used for transmitting patient laboratory results to other systems.
This synthetic data set contains synthetic Observation Result (ORU) messages in HL7 messaging standard version 2.5.1 with an event type of R01.
Message count in data set: 2,764
CCD
Continuity of Care Documents (CCD) are XML based markup standard built using HL7 Clinical Document Architecture (CDA) elements. CCDs carry summary information about the patient within the broader context of the personal health record.
Current data fields in CCDs: Patient demographics Medications Allergies Encounters Problem lists Diagnosis Lab results Immunization Social History
Message count in data set: 101,270
FHIR
Fast Healthcare Interoperability Resources (FHIR) is a modern standard for exchanging healthcare information electronically. FHIR leverages web standards like HTTP, RESTful APIs, and JSON to enable seamless communication between different healthcare systems, applications, and devices.
FHIR facilitates interoperability by providing a framework for representing and exchanging clinical data in a structured, standardized format, allowing healthcare stakeholders to easily access and share patient information across disparate systems, leading to improved care coordination, streamlined workflows, and enhanced patient outcomes.
The synthetic patient records generated by our statistic population health model generator are output in JSON FHIR version R4 resources.
Message count in data set: 49,514 bundles containing an average of 100 FHIR resources in each bundle (~4,951,400 total FHIR resources)
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Deployed on AWS
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Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $12,999.00 |
Dimensions summary
This listing uses a single pricing dimension called Product Access (Units). You buy access to one synthetic data pack under a contract. This pack contains fully-synthetic records for 2,500 patients with five years of longitudinal data. Pricing does not scale by tier, instance size, or usage. You pay for access to the defined dataset, priced in units. There are no add-ons or optional components in the pricing structure. To adjust dataset size or request tailored data, you contact the vendor directly.
Top-of-mind questions for buyers
One unit grants access to the defined dataset: fully-synthetic records for 2,500 patients spanning five years of longitudinal data. The pack includes clinical and claims data across several HL7 messaging standards, such as ADT, ORU, VXU, CCD, and FHIR. You are not billed per patient or per record.
No. This is a single-dimension contract priced in units for dataset access. Cost does not scale with how much you query, process, or reuse the data. There are no usage meters, tiers, or overage charges. You pay one flat access price regardless of internal use.
This listing covers only the 2,500-patient, five-year pack. The vendor offers custom-generated and bespoke datasets outside this listing. To adjust dataset size, condition mix, or request tailored records, contact the vendor directly rather than buying additional units here.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Synthetic Data Pack: 2500 patients with 5 years of longitudinal data history | Last 1 revisions | All future revisions | Not included | Not included |
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Using a statistic population health model generator, 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). This dataset is for single organization use only. Please contact us for more information on synthetic datasets for multi-partner use, FHIR server options available for testing, or hand curated datasets to meet your needs.
Using a statistic population health model generator, 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).
This dataset is for single organization use only. Please contact us for more information on synthetic datasets for multi-partner use, FHIR server options available for testing, or hand curated datasets to meet your needs.
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