Regenstrief Medical Record System
E755531
The Regenstrief Medical Record System is an early, pioneering electronic medical record platform that helped shape modern health informatics and clinical data management practices.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Regenstrief EMR system | 1 |
| Regenstrief Medical Record System canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8757850 — 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: Regenstrief Medical Record System Context triple: [Regenstrief Institute, developed, Regenstrief Medical Record System]
-
A.
Centre for Collaboration with Registry Networks
The Centre for Collaboration with Registry Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of health registries for research, surveillance, and policy development.
-
B.
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.
-
C.
Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
-
D.
Flatiron Health
Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
-
E.
Centre for Collaboration with Systems for Health Information Networks
The Centre for Collaboration with Systems for Health Information Networks is a specialized unit within Norway’s public health sector that focuses on coordinating and improving digital health information systems and data sharing for public health purposes.
- 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: Regenstrief Medical Record System Target entity description: The Regenstrief Medical Record System is an early, pioneering electronic medical record platform that helped shape modern health informatics and clinical data management practices.
-
A.
Centre for Collaboration with Registry Networks
The Centre for Collaboration with Registry Networks is a specialized unit within Norway’s public health system that coordinates and advances the use of health registries for research, surveillance, and policy development.
-
B.
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.
-
C.
Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
-
D.
Flatiron Health
Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
-
E.
Centre for Collaboration with Systems for Health Information Networks
The Centre for Collaboration with Systems for Health Information Networks is a specialized unit within Norway’s public health sector that focuses on coordinating and improving digital health information systems and data sharing for public health purposes.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
clinical information system
ⓘ
electronic medical record system ⓘ health informatics innovation ⓘ |
| affiliation |
Eskenazi Health
ⓘ
Indiana University School of Medicine ⓘ Wishard Memorial Hospital ⓘ |
| contributedTo |
development of clinical decision support methodologies
ⓘ
development of health data standards ⓘ research in outcomes and quality of care ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| dataModel |
longitudinal patient-centric record
ⓘ
structured coded clinical data ⓘ time-stamped clinical events ⓘ |
| developer | Regenstrief Institute ⓘ |
| field |
clinical data management
ⓘ
health informatics ⓘ medical informatics ⓘ |
| goal |
enhance efficiency of clinical workflows
ⓘ
improve quality of care ⓘ support clinical research ⓘ |
| influenced |
design of integrated clinical data repositories
ⓘ
later commercial electronic health record systems ⓘ |
| locationUsed |
Indianapolis, Indiana
ⓘ
linked to:
Indianapolis
|
| notableFor |
being one of the earliest comprehensive electronic medical record systems in the United States
ⓘ
influencing modern EMR and EHR design ⓘ integration with clinical decision support tools ⓘ longitudinal patient record functionality ⓘ pioneering structured electronic clinical data capture ⓘ |
| supports |
allergy documentation
ⓘ
ambulatory care ⓘ clinical notes ⓘ inpatient care ⓘ laboratory data management ⓘ medication lists ⓘ order entry ⓘ outpatient care ⓘ pharmacy data management ⓘ problem lists ⓘ radiology reporting ⓘ results reporting ⓘ vital signs recording ⓘ |
| use |
clinical decision support
ⓘ
clinical research data collection ⓘ electronic medical record keeping ⓘ hospital information management ⓘ outpatient care documentation ⓘ public health reporting ⓘ quality improvement measurement ⓘ |
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: Regenstrief Medical Record System Description of subject: The Regenstrief Medical Record System is an early, pioneering electronic medical record platform that helped shape modern health informatics and clinical data management practices.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Regenstrief Medical Record System