CLINICAL METRIC FOR PREDICTING ONSET OF CARDIORESPIRATORY DETERIORATION IN PATIENTS

Patent №

US 10,485,486

Granted

2019-11-26

Filed 2015

Owner

BAYLOR COLLEGE OF MEDICINE

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14942722

A system generates and displays a clinical metric based on continuously collected patient physiological data, wherein the clinical metric provides a predictive measure of the likelihood of the onset of a cardiorespiratory deterioration event in the patient in a predetermined time period in the future. If the clinical metric has a configured relationship with a predetermined threshold value, embodiments may generate an alarm in addition to or instead of displaying the clinical metric. The clinical metric thus allows clinical staff to take medically indicated actions to prevent or reduce the effects of the predicted deterioration.

PlanningA61B 5/7275A61B 5/02055A61B 5/318A61B 5/7282G16H 50/20G16H 50/30G16Z 99/00A61B 5/021+5 more

AI classification

Planning0.82
Vision0.31
Knowledge representation0.02
AI hardware0.01
Machine learning0.01
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

BAYLOR COLLEGE OF MEDICINE

assignment · 391150731

Assignors

RUSIN, CRAIG, BRADY, KENNETH M., VU, ERIC, ACOSTA, SEBASTIAN, PENNY, DANIEL J

On an employer assignment, the assignors are typically the inventors.

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