Subject monitoring system

The method and system enhance subject monitoring systems by automatically translating actions across multiple windows using action descriptors, reducing manual inputs and improving efficiency and consistency in data management.

WO2026149866A1PCT designated stage Publication Date: 2026-07-16KONINKLIJKE PHILIPS NV
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
KONINKLIJKE PHILIPS NV
Filing Date
2026-01-05
Publication Date
2026-07-16

AI Technical Summary

Technical Problem

Current subject monitoring systems require repetitive manual inputs across multiple windows, leading to inefficiency and errors, especially in critical care environments where efficiency and accuracy are paramount.

Method used

A method and system that enable actions performed on one subject window to be automatically applied or translated to other relevant subject windows by analyzing the input and identifying suitable windows based on low-level and high-level action descriptors, enhancing efficiency and consistency in data management.

Benefits of technology

Significantly reduces repetitive manual inputs, saves time for clinicians, and improves consistency in data handling across different subjects by allowing actions to be automatically applied across multiple subject windows.

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Abstract

The present disclosure provides a subject monitoring system, and methods for processing an input to subject monitoring systems. A plurality of subject windows are displayed by the subject monitoring system, each presenting at least part of subject data associated with a respective subject. An input indicating a target action to be performed on subject data associated with a target subject window is received. Based on the input, an action is initiated to be performed on subject data associated with a further subject window amongst the subject windows. Accordingly, a need to repeat the input for the further subject windows is obviated by the automated application of actions across multiple subject windows, potentially saving time for clinicians and improving consistency in data handling across different subjects.
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