System and methods for generating predictive combinations of hospital monitor alarms
First Claim
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1. A system for monitoring data associated with a plurality of physiological characteristics of a patient, comprising:
- a processor configured for receiving input from a plurality of independent physiological data streams from one or more monitoring devices;
wherein each of the physiological data streams comprises an individual raw alarm associated with the physiological data within the stream; and
programming executable on the processor for;
reading the input physiological data streams;
comparing the input data stream against a set of predictive super-alarm patterns associated with the plurality of physiological conditions;
the predictive super-alarm patterns comprising a temporal window data acquired from a combination of at least two individual independent physiological data streams that co-occur within the temporal window; and
triggering an alarm if a combination of the input physiological data matches at least a portion of a generated super-alarm pattern;
wherein the triggered alarm is predictive of an adverse event associated with the physiological characteristics of a patient.
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Abstract
Systems and methods are disclosed for monitoring data associated with a plurality of physiological characteristics of a patient, comprising: the methods include generating a set of super-alarm patterns associated with the plurality of physiological conditions, wherein the super-alarm patterns comprising data relating to a combination of at least two individual raw alarms from independent physiological data streams that co-occur within a temporal window, and triggering an alarm if a combination of the input physiological data matches at least a portion of a generated super-alarm pattern.
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Citations
23 Claims
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1. A system for monitoring data associated with a plurality of physiological characteristics of a patient, comprising:
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a processor configured for receiving input from a plurality of independent physiological data streams from one or more monitoring devices; wherein each of the physiological data streams comprises an individual raw alarm associated with the physiological data within the stream; and programming executable on the processor for; reading the input physiological data streams; comparing the input data stream against a set of predictive super-alarm patterns associated with the plurality of physiological conditions; the predictive super-alarm patterns comprising a temporal window data acquired from a combination of at least two individual independent physiological data streams that co-occur within the temporal window; and triggering an alarm if a combination of the input physiological data matches at least a portion of a generated super-alarm pattern; wherein the triggered alarm is predictive of an adverse event associated with the physiological characteristics of a patient. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for generating a set of predictive alarm patterns associated with a plurality of physiological characteristics of a patient, the predictive alarm patterns being predictive of an adverse event associated with the physiological characteristics of a patient, comprising:
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a database comprising physiological monitoring case data acquired from raw physiological data from a plurality of patient cases and a plurality of control patients that are not coded with respect to the adverse event; a processor; programming executable on the processor for; evaluating raw physiological data from a plurality of patient cases and a plurality of control patients; and generating a set of predictive super-alarm patterns associated with the plurality of physiological conditions; the predictive super-alarm patterns comprising a temporal window of data acquired from a combination of at least two individual encoded independent physiological data streams that co-occur within the temporal window. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A monitor for predicting an adverse event associated with the physiological characteristics of a patient, comprising:
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one or more monitor inputs configured for receiving input from a plurality of independent physiological data streams generated from one or more monitoring devices; wherein each of the physiological data streams comprises an individual raw alarm associated with the physiological data within the stream; a processor coupled to the one or more monitor inputs; and programming executable on the processor for; reading the input physiological data streams; comparing the input data stream against a set of predictive super-alarm patterns associated with the plurality of physiological conditions; the predictive super-alarm patterns comprising a temporal window of data acquired from a combination of at least two individual encoded raw alarms from independent physiological data streams that co-occur within the temporal window; and triggering an alarm if a combination of the input physiological data matches at least a portion of a generated predictive super-alarm pattern; wherein the triggered alarm is predictive of an adverse event associated with the physiological characteristics of a patient.
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Specification