Clinical decision support system based triage decision making

A physiological measurement, probabilistic technique used in diagnostics, image analysis, patient-specific data, etc.

Active Publication Date: 2016-07-13
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Unfortunately, pulse oximetry may not be so reliable for detecting other CCHDs (besides hypoplastic left heart syndrome and tricuspid atresia) such as aortic arch atresia or hypoplasia, aortic arch disruption, coarctation of the

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  • Clinical decision support system based triage decision making
  • Clinical decision support system based triage decision making
  • Clinical decision support system based triage decision making

Examples

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Example Embodiment

[0016] First reference figure 1 , The clinical decision support (CDS) system 100 is schematically shown. The CDS system 100 is implemented via a computing system 102. Examples of the computing system 102 include, but are not limited to: stand-alone or dedicated computers, physiological monitoring devices, imaging systems, and the like. In a variant, the CDS system 100 is a pre-built or “cloud”-based computing environment, which includes, for example, clinical diagnosis and result information based on self-learning or an expert clinician’s post-judgment library to maintain and improve processing algorithms.

[0017] The illustrated computing system 102 includes one or more hardware processors 104 (for example, a central processing unit (CPU), a microprocessor (μ processor), a controller, etc.) and a computer-readable storage medium 106 (which does not include instantaneous Media), such as physical memory encoded or embedded with computer-readable instructions. The instructions, ...

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Abstract

A method includes obtaining an electrical signal that includes a set of at least two sensed physiologic measurements of a patient, comparing the at least two physiologic measurements with a predetermined physiologic measurement range, identifying data required to determine a probability and a severity of a condition of interest of the patient, in response to determining the at least two physiologic measurements do not satisfy the physiologic measurement range, receiving the identified data in electronic format, determining a first probability and a first severity of the condition of interest based on the received identified data, determining a recommended course of action for the patient based on the first probability and the first severity, resources of a healthcare facility, and an event guideline; and causing a display to visually present the first probability and first severity and the recommended course of action.

Description

technical field [0001] The following relates generally to clinical decision support (CDS) systems, and more particularly to CDS systems that determine the probability and severity of conditions of interest for patients and care recommendations based thereon. Background technique [0002] Detecting certain rare clinical conditions can be difficult, and determining the seriousness of a condition may be beyond the ability and expertise of some clinicians. In many cases, severity assessment is critical to determining whether a patient is safely cared for in the current care setting or needs to be transported to a facility with services typically required by patients of this severity. An example of such a condition is congenital heart defect in newborns, which is life threatening in the first hours and days of life. [0003] Some congenital heart conditions require relatively immediate stabilization and intervention to prevent death. Other congenital heart conditions may presen...

Claims

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Application Information

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IPC IPC(8): G06F19/00G16H10/60G16H30/40G16H50/20
CPCG16H10/60G16H40/20G16H50/30G16H50/70G16H50/20G16H30/40A61B5/0205A61B5/02028A61B5/14542A61B5/7275A61B5/743A61B2503/045G06T7/0014G06T2207/10132G06T2207/30048G06T2207/30104
Inventor B·D·格罗斯J·J·弗拉西卡I·萨尔戈
Owner KONINKLJIJKE PHILIPS NV
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