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Device, system and method for patient monitoring to predict and prevent bed falls

A kind of equipment and risk technology, applied in medical equipment, patient-specific data, informatics, etc., can solve the problems of not paying attention to understanding the best intervention measures, high false alarm rate, etc., achieve high execution robustness and accuracy, and prevent clinical The effect of falling

Inactive Publication Date: 2019-06-07
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This results in a high false positive rate
[0012] Furthermore, with regard to effective preventive interventions, these technologies focus heavily on monitoring and alerting, but not on understanding the best interventions to deliver given a particular patient profile at a particular time

Method used

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  • Device, system and method for patient monitoring to predict and prevent bed falls
  • Device, system and method for patient monitoring to predict and prevent bed falls
  • Device, system and method for patient monitoring to predict and prevent bed falls

Examples

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Embodiment Construction

[0041] exist figure 1 , an overview of a preferred embodiment of the invention is shown diagrammatically. This embodiment comprises a device 1 for monitoring an individual 2 . The individual 2 may especially be a patient in a hospital bed. In the following, individual 2 will therefore be referred to as patient 2, but individual 2 may also be a resident of a nursing home, an occupant in a psychiatric ward, an individual 2 under home care, etc. The principle underlying the device 1 is that the bed fall risk associated with the patient 2 under monitoring is determined by non-modifiable risk factors such as the age of the patient 2, the (permanent) condition of the particular delirium, physical impairment, etc., and psychological composition (regarding the level of compliance / adherence to medical guidelines in the hospital); and modifiable risk factors such as bed occupancy Patient 2's level of restlessness, level of confusion, level of anxiety, type and speed of movement (e.g. ...

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PUM

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Abstract

The present invention relates to a device (1) for determination of a bed fall risk of an individual (2), the device (1) comprising a first port (3) for obtaining sensor data (100) related to movementand / or a vital sign of an individual (2), an evaluation unit (4) for determining quality information indicating the quality of the sensor data (100), a second port (5) for obtaining personal data (120) of the individual (2), a calculation unit (6) for calculation of a total risk score (114) of the individual (2) based on the sensor data (100), the quality information (110) and the personal data (120), said total risk score indicating a bed fall risk of the individual (2), and a third port (7) for output of the calculated total risk score.

Description

technical field [0001] The present invention relates to a device for monitoring a person, especially a patient in a hospital or home care, adapted to allow the prediction of a significant fall of the person out of bed. The device issues an alert when risk factors for several connections exceed defined thresholds. The invention also relates to a system comprising the above device and a method of monitoring an individual to predict bed falls. Background technique [0002] Falls are the most common adverse event reported in hospitals and are a leading cause of hospital-acquired injuries, often prolonging or complicating hospital stays. A review of observational studies in acute care hospitals showed fall rates ranging from 1.3 to 8.9 falls per 1000 patient days, with higher rates in units focused on aged care, neurology and rehabilitation. Despite extensive research on fall risk factors and the development of several fall risk tools, the application of protocols is inconsiste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/63G16H10/60G16H50/30
CPCG16H40/63G16H10/60G16H50/30
Inventor M·A·韦菲尔斯-阿尔布P·W·M·T·布林克
Owner KONINKLJIJKE PHILIPS NV
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