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 3 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:
5,944 total A01
7 total A02
5,944 total A03
54,328 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: 22,863
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: 2585
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: 60,272
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: 26,975 bundles containing an average of 100 FHIR resources in each bundle (~2,697,500 total FHIR resources)
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Deployed on AWS
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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.
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Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $8,499.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension called Product Access (Units). You buy access to one fixed synthetic dataset: 2,500 patients with three years of longitudinal data. There are no tiers, sizes, or usage add-ons to compare. Pricing scales only by the number of access units you purchase. The dataset contains fully synthetic, PHI-free patient records built to mirror real clinical and claims scenarios for testing and development.
Top-of-mind questions for buyers
One access unit grants you the fixed synthetic dataset of 2,500 patients with three years of longitudinal records. Each patient progresses through clinical encounters, producing clinical and claims data across several HL7 messaging standards, including ADT, ORU, VXU, CCD and FHIR. All records are fully synthetic and free of PHI.
Cost scales only by the number of access units you purchase. The dataset itself is fixed at 2,500 patients with three years of data. To cover more scenarios or larger volumes, you buy additional units. There are no usage overage charges or automatic tier upgrades within a single unit.
The data models clinically relevant treatment scenarios and may include conditions such as appendicitis, deep venous thrombosis, food insecurity, hypertension, osteoporosis, and pulmonary embolism. It supports testing for interoperability, patient data exchange, risk assessment, social determinants of health, immunization tracking, and end-to-end solution validation.
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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 3 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).
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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.