PATIENT FLOW
Methods and systems for monitoring patient physiological status. The system may include a source of vital sign measurements for a patient, a trained machine learning model that receives the vital sign measurements and provides an output related to the physiological status of the patient, and an inte...
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| creator | FRASSICA, JOSEPH JAMES RYAN, JOHN CUSTER ARTHUR, ANDREW FRANKLIN ESHELMAN, LARRY JAMES XU, MINNAN ZHOU, SOPHIA HUAI |
| description | Methods and systems for monitoring patient physiological status. The system may include a source of vital sign measurements for a patient, a trained machine learning model that receives the vital sign measurements and provides an output related to the physiological status of the patient, and an interface configured to present the output to an operator. The method may include receiving, at a trained machine learning model, at least one physiological measurement, demographic information point, or treatment plan for a patient, providing, using the trained machine learning model, an output relating to the physiological status of the patient, and presenting, using an interface, the output to an operator. |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | PATIENT FLOW |
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