Continuous prediction method for patient disease severity, mortality and length of hospital stay

A patient and duration technology, applied in disease diagnosis, patient-specific data, measurement devices, etc., can solve problems such as inaccurate predictions, and achieve the effect of improving accuracy and quality

Active Publication Date: 2017-07-18
KONINK PHILIPS ELECTRONICS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The inventors observed that when predicting the length of hospital stay or the probability of death of a patient after the patient has been in intensive care for a few days, the prediction is less accurate

Method used

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  • Continuous prediction method for patient disease severity, mortality and length of hospital stay
  • Continuous prediction method for patient disease severity, mortality and length of hospital stay
  • Continuous prediction method for patient disease severity, mortality and length of hospital stay

Examples

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Embodiment Construction

[0015] refer to figure 1 , a patient (not shown) is monitored by various medical monitoring devices or sensors 10 that measure physiological parameters of the patient directly or in a laboratory and generate physiological data indicative thereof. These medical monitoring devices 10 may include electrocardiography (ECG) instruments with ECG electrodes, IV fluid pumps, blood pressure sensors, SpO2 sensors, pulse sensors, thermometers, respiration sensors, exhaled gas sensors, and the like. Other medical monitoring devices 10 may be associated with the patient, and not all of the aforementioned medical monitoring devices 10 are necessarily associated with the patient at any given time. It should be appreciated that while only two medical monitoring devices 10 are illustrated, many more are contemplated. As used herein, a medical monitoring device refers to a data source indicative of a patient's health status and the like. Electronics for receiving signals from the medical moni...

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PUM

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Abstract

A method for predicting an outcome variable of a patient, such as the probability of death / recovery, comprising accessing at least one of a plurality of past patient data fields, said data fields including physiological and / or laboratory data, and length of hospital stay, length of hospital stay Indicate how long each patient has been under surveillance at that time. An outcome variable estimation algorithm is generated by data mining based on a plurality of past patient physiological and / or laboratory data, corresponding hospital stays, and associated outcome variables. The outcome variable for the current patient is determined based on the current patient's physiological and / or laboratory data, the current length of hospital stay, and the outcome variable estimation algorithm.

Description

technical field [0001] The present application relates to a system or method for predicting outcome variables such as length of hospital stay, mortality, need for specific treatment, and disease severity of a patient in a healthcare setting. It finds particular application in improving and optimizing the prediction of patient length of stay or probability of death within a healthcare setting, and will be described with particular reference to this application. However, it will be appreciated that it may also find application in intensive care units, post-anesthesia care units, general care units, recovery rooms, operating rooms, and the like. Background technique [0002] Currently, a patient recovery / mortality prediction system such as the SAPS (Simplified Acute Physiology) system is typically run at the time of patient admission. Estimates of a patient's length of stay or probability of death by weighting a combination of several admission criteria including lethal signs ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G16H10/60
CPCG16H50/30G16H50/50G16H50/70G16H50/20G16H10/60G16H10/20G16Z99/00G06F18/00G01N2800/52G06N5/01
Inventor M·赛义德
Owner KONINK PHILIPS ELECTRONICS NV
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