FloTrac hemodynamic monitoring system
E710575
cardiac output monitoring system
hemodynamic monitoring system
medical device
minimally invasive monitoring technology
The FloTrac hemodynamic monitoring system is a minimally invasive cardiac output and fluid management technology used in critical care and surgical settings to continuously assess a patient’s cardiovascular status.
All labels observed (2)
| Label | Occurrences |
|---|---|
| FloTrac hemodynamic monitoring system canonical | 1 |
| FloTrac sensor | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8088186 — 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: FloTrac hemodynamic monitoring system Context triple: [Edwards Lifesciences, product, FloTrac hemodynamic monitoring system]
-
A.
Minitrack system
The Minitrack system was an early ground-based satellite tracking network developed in the 1950s to detect and follow the radio signals of Earth-orbiting spacecraft.
-
B.
Portable Life Support System
The Portable Life Support System was a backpack-like unit that provided Apollo astronauts with oxygen, cooling, and life-support functions during extravehicular activities on the lunar surface.
-
C.
Cordis
Cordis is a medical device company best known for developing and manufacturing cardiovascular and endovascular products such as stents and catheters.
-
D.
Continuous Flow Electrophoresis System
The Continuous Flow Electrophoresis System is a space-based apparatus designed to separate biological and chemical materials in microgravity using continuous-flow electrophoresis for high-purity sample processing.
-
E.
AutoSyringe insulin pump
The AutoSyringe insulin pump is an early portable medical device that automatically delivers insulin to diabetic patients, invented by engineer and entrepreneur Dean Kamen.
- 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: FloTrac hemodynamic monitoring system Target entity description: The FloTrac hemodynamic monitoring system is a minimally invasive cardiac output and fluid management technology used in critical care and surgical settings to continuously assess a patient’s cardiovascular status.
-
A.
Minitrack system
The Minitrack system was an early ground-based satellite tracking network developed in the 1950s to detect and follow the radio signals of Earth-orbiting spacecraft.
-
B.
Portable Life Support System
The Portable Life Support System was a backpack-like unit that provided Apollo astronauts with oxygen, cooling, and life-support functions during extravehicular activities on the lunar surface.
-
C.
Cordis
Cordis is a medical device company best known for developing and manufacturing cardiovascular and endovascular products such as stents and catheters.
-
D.
Continuous Flow Electrophoresis System
The Continuous Flow Electrophoresis System is a space-based apparatus designed to separate biological and chemical materials in microgravity using continuous-flow electrophoresis for high-purity sample processing.
-
E.
AutoSyringe insulin pump
The AutoSyringe insulin pump is an early portable medical device that automatically delivers insulin to diabetic patients, invented by engineer and entrepreneur Dean Kamen.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
cardiac output monitoring system
ⓘ
hemodynamic monitoring system ⓘ medical device ⓘ minimally invasive monitoring technology ⓘ |
| analyzes | arterial pulse contour ⓘ |
| benefit |
guidance of fluid therapy
ⓘ
optimization of tissue perfusion ⓘ reduction of unnecessary fluid loading ⓘ support of early goal-directed therapy ⓘ |
| category |
advanced hemodynamic monitoring device
ⓘ
minimally invasive cardiac output monitor ⓘ |
| comparedWith | pulmonary artery catheter ⓘ |
| connectsTo | arterial line ⓘ |
| dataType |
beat-to-beat hemodynamic parameters
ⓘ
continuous cardiac output ⓘ |
| hasComponent |
FloTrac sensor
ⓘ
linked to:
FloTrac hemodynamic monitoring system
Vigileo monitor ⓘ pressure transducer ⓘ |
| indicatedFor |
critically ill patients
ⓘ
hemodynamically unstable patients ⓘ high-risk surgical patients ⓘ |
| input | arterial pressure waveform ⓘ |
| is |
calibration-free for cardiac output measurement
ⓘ
less invasive than pulmonary artery catheterization ⓘ |
| measures |
cardiac index
ⓘ
cardiac output ⓘ dynamic preload variables ⓘ stroke volume ⓘ stroke volume variation ⓘ systemic vascular resistance ⓘ |
| monitors | hemodynamic status ⓘ |
| requires |
arterial blood pressure signal of adequate quality
ⓘ
existing arterial catheter ⓘ |
| risk |
potential inaccuracy in low perfusion states
ⓘ
potential inaccuracy with severe arrhythmias ⓘ |
| supports |
fluid responsiveness assessment
ⓘ
perioperative hemodynamic optimization ⓘ vasoactive drug titration ⓘ |
| usedFor |
cardiac output monitoring
ⓘ
continuous assessment of cardiovascular status ⓘ fluid management ⓘ goal-directed therapy ⓘ |
| usedIn |
critical care settings
ⓘ
intensive care units ⓘ operating rooms ⓘ surgical settings ⓘ |
| uses |
arterial waveform analysis
ⓘ
proprietary algorithm ⓘ |
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: FloTrac hemodynamic monitoring system Description of subject: The FloTrac hemodynamic monitoring system is a minimally invasive cardiac output and fluid management technology used in critical care and surgical settings to continuously assess a patient’s cardiovascular status.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: FloTrac hemodynamic monitoring system