Patient Demographics Supplier
E754574
Patient Demographics Supplier is a healthcare information system component that provides authoritative patient identity and demographic data in response to queries from other systems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Patient Demographics Supplier canonical | 2 |
| Patient Identity Source | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8755491 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patient Demographics Supplier Context triple: [PDQ, hasActor, Patient Demographics Supplier]
-
A.
Medidata Solutions
Medidata Solutions is a life sciences technology company best known for its cloud-based clinical trial and research platforms used by pharmaceutical, biotech, and medical device organizations.
-
B.
Cortellis
Cortellis is a life sciences intelligence and analytics platform that provides pharmaceutical and biotech companies with data and insights to support drug discovery, development, and commercialization decisions.
-
C.
NextGen Healthcare
NextGen Healthcare is a U.S.-based health IT company that provides electronic health record, practice management, and related software solutions for medical practices and healthcare organizations.
-
D.
Allscripts
Allscripts is a healthcare information technology company known for providing electronic health record (EHR), practice management, and related software solutions to hospitals and physician practices.
-
E.
National Data Corporation
National Data Corporation was a pioneering U.S. payment processing and financial technology company that played a key role in the early development of electronic transaction services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patient Demographics Supplier Target entity description: Patient Demographics Supplier is a healthcare information system component that provides authoritative patient identity and demographic data in response to queries from other systems.
-
A.
Medidata Solutions
Medidata Solutions is a life sciences technology company best known for its cloud-based clinical trial and research platforms used by pharmaceutical, biotech, and medical device organizations.
-
B.
Cortellis
Cortellis is a life sciences intelligence and analytics platform that provides pharmaceutical and biotech companies with data and insights to support drug discovery, development, and commercialization decisions.
-
C.
NextGen Healthcare
NextGen Healthcare is a U.S.-based health IT company that provides electronic health record, practice management, and related software solutions for medical practices and healthcare organizations.
-
D.
Allscripts
Allscripts is a healthcare information technology company known for providing electronic health record (EHR), practice management, and related software solutions to hospitals and physician practices.
-
E.
National Data Corporation
National Data Corporation was a pioneering U.S. payment processing and financial technology company that played a key role in the early development of electronic transaction services.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
healthcare information system component
ⓘ
patient identity management component ⓘ |
| aimsTo |
improve patient identification accuracy
ⓘ
reduce duplicate patient records ⓘ support interoperability between healthcare systems ⓘ |
| dataType |
patient master data
ⓘ
personally identifiable information ⓘ |
| exchangesDataWith |
admission discharge transfer systems
ⓘ
clinical information systems ⓘ electronic health record systems ⓘ other healthcare information systems ⓘ registration systems ⓘ |
| hasFunction |
enforce uniqueness of patient identifiers
ⓘ
maintain authoritative patient identity records ⓘ return current patient demographic information ⓘ support patient identity resolution ⓘ support patient search by multiple criteria ⓘ |
| hasRole |
authoritative source of patient identity data
ⓘ
supplier of patient demographic data ⓘ |
| isAuthoritativeFor | patient core demographic attributes ⓘ |
| isQueriedBy |
administrative applications
ⓘ
clinical applications ⓘ integration engines ⓘ |
| mayImplementStandard |
HL7 FHIR Patient resource
ⓘ
linked to:
FHIR Patient
HL7 FHIR-based patient search operations ⓘ HL7 v2 PDQ ⓘ
linked to:
HL7 standards
HL7 v2 QBP^Q22 query ⓘ
linked to:
HL7 standards
IHE Patient Demographics Query (PDQ) profile ⓘ
linked to:
IHE PDQ
IHE Patient Demographics Query for Mobile (PDQm) ⓘ
linked to:
IHE PDQ
|
| operatesInDomain |
enterprise master patient index environment
ⓘ
healthcare information exchange ⓘ |
| provides |
patient address information
ⓘ
patient administrative data ⓘ patient contact information ⓘ patient date of birth ⓘ patient demographic data ⓘ patient gender information ⓘ patient identifiers ⓘ patient identity data ⓘ patient name information ⓘ |
| receives | patient demographics query ⓘ |
| requires |
data quality management processes
ⓘ
patient identity management policies ⓘ privacy and security controls ⓘ |
| respondsTo | patient demographics query ⓘ |
| supportsProcess |
patient identification
ⓘ
patient lookup ⓘ patient matching ⓘ patient registration ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Patient Demographics Supplier Description of subject: Patient Demographics Supplier is a healthcare information system component that provides authoritative patient identity and demographic data in response to queries from other systems.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Patient Demographics Supplier