What we have
is realistic (somewhat)
FAQ
Realistic healthcare data based on real world patterns.
Patient
Organization
Location
Healthcare Services
Practitioner
PractitionerRole
Encounter
Condition
Observation
Generated realistic test data for FHIR
What we have
Is realistic (somewhat)
FAQ

Generated realistic test data for FHIR

Realistic healthcare data based on real world patterns.
Patient
Organization
Location
Healthcare Services
Practitioner
PractitionerRole
Encounter
Condition
Observation
Local Patients.
Generated patient resources with localized data.
Felicitas van der Meij
Female
NL 4421 Kapelle, Zeebeurs 310
female, born: 1985-07-27
felicitasvandermeij@mail.com
+31 064 583 3315
Local Patients.
Generated patient resources with localized data.
Felicitas van der Meij
Female
NL 4421 Kapelle, Zeebeurs 310
female, born: 1985-07-27
felicitasvandermeij@mail.com
+31 064 583 3315
Number of organizations matched to the size of the population
Generated
Organization
Location
Healthcare Services
resources.
Number of organizations matched to the size of the population
Generated
Organization
Location
Healthcare Services
resources.
Healthcare Service
HealthcareServices are generated according to the size of population to serve. The coverageArea for a HealthcareService is determined by the distance between the populated place and the Location of the HealthcareService.

Opening hours of a HealthcareService is determined by the population to serve and the characteristic patient flow for the given profession.

All this process is automated with parameters that can be set prior generation process.
 
JSON
Healthcare Service
HealthcareServices are generated according to the size of population to serve. The coverageArea for a HealthcareService is determined by the distance between the populated place and the Location of the HealthcareService.

Opening hours of a HealthcareService is determined by the population to serve and the characteristic patient flow for the given profession.

All this process is automated with parameters that can be set prior generation process.
 
JSON
Observations
Laboratory observations are linked to conditions and age/gender of the patient. Other observation values are linked to conditions, but with less correlation to real life patterns.
Conditions
Conditions are based on real life patterns. Profession, age, gender and time of year are the main factors when generating condition resources.
Patient flow / Encounter
Patient flow is determined according to real life usage patterns. Typical length of an encounter for a given profession, distribution over the year and over the day is all taken into account. Our practitioners even have lunch breaks
Practitioners
The number of practitioners for a HealthcareService is determined by the population to be served and usual patient flow for the given profession. We have doctors and nurses.
Patient flow / Encounter
Patient flow is determined according to real life usage patterns. Typical length of an encounter for a given profession, distribution over the year and over the day is all taken into account. Our practitioners even have lunch breaks
Practitioners
The number of practitioners for a HealthcareService is determined by the population to be served and usual patient flow for the given profession. We have doctors and nurses.
Observations
Laboratory observations are linked to conditions and age/gender of the patient. Other observation values are linked to conditions, but with less correlation to real life patterns.
Conditions
Conditions are based on real life patterns. Profession, age, gender and time of year are the main factors when generating condition resources.
Our service
We offer a complete set of realistic localized resources in the outpatient field. We can generate resources in any number from a simple outpatient clinic to nation-wide systems, from a single resource to decades worth of data.

We aim on providing realistic data from the IT perspective. This means we have the correct terminology, code sets, data length, we even speak local. Well, we may have a little bit googleish accent, but we can work on that. :)

Different codepages are also a part of our dataset.

We don’t want to compete with Synthea though, at least in terms of patient history and the realism from the medical point of view.
Our service
We offer a complete set of realistic localized resources in the outpatient field. We can generate resources in any number from a simple outpatient clinic to nation-wide systems, from a single resource to decades worth of data.

We aim on providing realistic data from the IT perspective. This means we have the correct terminology, code sets, data length, we even speak local. Well, we may have a little bit googleish accent, but we can work on that. :)

Different codepages are also a part of our dataset.

We don’t want to compete with Synthea though, at least in terms of patient history and the realism from the medical point of view.
Use cases
For IT Companies
For healthcare institutes
Application testing
Tuition
Get your personnel familiar with FHIR
User Interface – with local data
Design

Test

(Have you ever wondered if ‘Nicht näher bezeichnete Otitis externa, nicht näher bezeichnetes Ohr’ will fit on this label?)
Performance testing

Stress testing
Showcase
Showcase your application with vast amount of realistic data, even with a live feed
Solution testing
Our dataset enables testing of different IT solutions with decades worth of data without any legal issues. The vast number of data allows for more reliable performance and stress testing and comparison of products before purchase.
Use cases
For IT Companies
For healthcare institutes
Solution testing
Our dataset enables testing of different IT solutions with decades worth of data without any legal issues. The vast number of data allows for more reliable performance and stress testing and comparison of products before purchase.
Tuition
Get your personnel familiar with FHIR
User Interface – with local data
Design

Test

(Have you ever wondered if ‘Nicht näher bezeichnete Otitis externa, nicht näher bezeichnetes Ohr’ will fit on this label?)
Application testing
Performance testing

Stress testing
Showcase
Showcase your application with vast amount of realistic data, even with a live feed
Freguently asked questions
Freguently asked questions
1. What type of resources are available?
Right now we have Organization, Location, HealthcareService, Practitioner, PractitionerRole, Patient, Encounter, Condition and Observation resources
2. Do you plan to include more resources?
Yes, our plan is to include AuditEvent, Medication, MedicationRequest, AllergyIntolerance and Appointment resources in the next phase. And we will keep going.
3. What versions of FHIR do you support?
We aim to support the most recent versions, right now we have R4. We can adapt to support earlier versions as well, if needed.
4. Is it conform to the FHIR specification?
We do our best to comply and we check the conformance of our resources with different FHIR servers.
5. What format do you support?
We have json, ndjson for separate resources and json for bundles.
6. How much time is it to generate ….?
In our current setup generating Organizations, Locations, HealthcareServices, Practitioners and PractitionerRoles for a state/district of a country typically takes about half an hour. A million Patients are generated in about a day, and generating Encounters, Conditions and Observations for a year for a million patient takes about two weeks. Of course we can pump up our servers any time if needed 😊
7. How can we get it?
The best way is to contact us and download the data tailored to your needs from our server after we’ve discussed the details.
8. What do you mean by ‘live feed’ ?
We can set up a channel to push resources to your FHIR server in a real life pattern, i.e. like if it had a working clinic in the background.
9. Can you generate profiles?
Of course we can, if you need special profiles with extensions just contact us.