Flatiron Health
E184186
Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Flatiron Health canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1633974 — 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: Flatiron Health Context triple: [GV, portfolioIncludes, Flatiron Health]
-
A.
Athenahealth
Athenahealth is a U.S.-based healthcare technology company that provides cloud-based electronic health record, practice management, and revenue cycle management solutions for medical practices and health systems.
-
B.
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.
-
C.
Epic Systems
Epic Systems is a leading American healthcare software company best known for its widely used electronic health record (EHR) systems in hospitals and clinics.
-
D.
MEDITECH
MEDITECH is a healthcare information technology company best known for providing electronic health record (EHR) and hospital information systems to healthcare organizations.
-
E.
Cerner
Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
- 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: Flatiron Health Target entity description: Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
-
A.
Athenahealth
Athenahealth is a U.S.-based healthcare technology company that provides cloud-based electronic health record, practice management, and revenue cycle management solutions for medical practices and health systems.
-
B.
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.
-
C.
Epic Systems
Epic Systems is a leading American healthcare software company best known for its widely used electronic health record (EHR) systems in hospitals and clinics.
-
D.
MEDITECH
MEDITECH is a healthcare information technology company best known for providing electronic health record (EHR) and hospital information systems to healthcare organizations.
-
E.
Cerner
Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
healthcare technology company
ⓘ
private company ⓘ |
| acquiredBy | Roche ⓘ |
| acquisitionDate | 2018 ⓘ |
| aimsTo |
accelerate cancer research
ⓘ
generate real-world evidence for oncology ⓘ improve cancer care ⓘ |
| collaboratesWith |
academic medical centers
ⓘ
community oncology practices ⓘ pharmaceutical companies ⓘ regulatory agencies ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataSource |
clinical notes
ⓘ
electronic health records from oncology practices ⓘ structured oncology data ⓘ |
| focusesOn |
cancer care
ⓘ
oncology research ⓘ real-world evidence ⓘ |
| foundedBy |
Nat Turner
ⓘ
Zach Weinberg ⓘ |
| headquartersLocation |
New York
ⓘ
New York City ⓘ United States of America ⓘ
surface form:
United States
|
| inception | 2012 ⓘ |
| industry |
health information technology
ⓘ
healthcare technology ⓘ oncology data ⓘ |
| legalForm | corporation ⓘ |
| notableFor |
building large-scale real-world oncology datasets
ⓘ
integrating clinical oncology workflows with research data collection ⓘ |
| offers |
OncoAnalytics
ⓘ
Allscripts ⓘ
surface form:
OncoEMR
OncoTrials ⓘ data services for life sciences companies ⓘ electronic health record systems for oncology practices ⓘ real-world data products for oncology ⓘ |
| parentOrganization | Roche ⓘ |
| regulatoryEngagement | supports submissions to the U.S. Food and Drug Administration ⓘ |
| serves |
cancer centers
ⓘ
community oncology practices ⓘ life sciences companies ⓘ oncologists ⓘ researchers ⓘ |
| specializesIn |
data analytics for cancer research
ⓘ
electronic health record software for oncology ⓘ real-world oncology data ⓘ |
| usesMethod |
data curation
ⓘ
machine learning ⓘ natural language processing ⓘ |
| website | https://flatiron.com ⓘ |
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: Flatiron Health Description of subject: Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.