Abstract:
A method for providing one or more customized alarm setting recommendations for a patient includes the steps of: providing a patient monitor configured to monitor the patient, the patient monitor comprising a patient sensor and a processor configured to receive the sensor data from the patient sensor, receiving, by the patient monitor, information about a patient; analyzing, by the processor using an alarm setting recommendation classifier, the received information about the patient to generate one or more alarm setting recommendations customized to the patient; providing the one or more alarm setting recommendations to the user, and receiving input from the user accepting, rejecting, and/or modifying the alarm setting recommendations.
Abstract:
Systems for user behavior-trained clinical support. Features of the present invention monitor users to track their behavior while using medical devices/software. This information is combined with physiological parameters of patients to train new clinical decision support (CDS) algorithms to provide improvement in deterioration detection, alarm management, and decision and navigation support.
Abstract:
A method includes generating at least first and second histograms respectively for at least first and second sets of vital sign measurements using at least first and second predetermined bins. The first and second sets of the vital sign measurements each include at least two measurements acquired at different times, and the first and second vital sign are different vital signs. The method further includes generating a first score distribution for the first vital sign by mapping each bin of the first predetermined bins to a corresponding predetermined score. The method further includes generating a second score distribution for the second vital sign by mapping each bin of the second predetermined bins to a corresponding predetermined score. The method further includes generating a compound score distribution for the first and second vital signs based on the first and second score distributions, the compound score distribution indicates a patient's health state.
Abstract:
The following relates generally to the medical monitoring arts, medical warning systems concerning a monitored patient, and so forth. In clinical settings, alarms are usually triggered when a single-parameter or a multi-parameter score exceeds certain thresholds. When a score needs to be determined, if certain parameters are not available, the common practice is to use the most recent measurements of the parameters for the score calculation. However, a patient's status may change from moment to moment. The parameters measured hours ago may not be a good indicator of the patient's current status. This uncertainty can put deteriorating patients at great risk. An embodiment uses statistical methods to estimate a range of scores and the probability of these scores if old measurements have to be used for score determination. Instead of giving a single number at a time, a confidence interval may be displayed to emphasize the fact that the score is determined partially based on old measurements. If there is a chance that the actual score is higher and may exceed a critical alarm threshold, a notification can be issued to advise a new measurement reading to improve score confidence.
Abstract:
When monitoring patients in a general ward, clinical decision support risk scores are evaluated to determine whether a patient should be monitored using a spot check method whereby a caregiver periodically checks the patient, a continuous monitoring method whereby the patient is monitored by a monitoring device such as an electrocardiograph, or whether the patient requires transfer to a progressive care unit (PCU) or intensive care unit (ICU). When the number of patient monitors is not sufficient to assign a monitor to all patients for whom a monitor is desired, CDS score thresholds are adjusted to ensure that the neediest patients are assigned monitors.
Abstract:
The following relates generally to the medical monitoring arts, medical warning systems concerning a monitored patient, and so forth. In clinical settings, alarms are usually triggered when a single-parameter or a multi-parameter score exceeds certain thresholds. When a score needs to be determined, if certain parameters are not available, the common practice is to use the most recent measurements of the parameters for the score calculation. However, a patient's status may change from moment to moment. The parameters measured hours ago may not be a good indicator of the patient's current status. This uncertainty can put deteriorating patients at great risk. An embodiment uses statistical methods to estimate a range of scores and the probability of these scores if old measurements have to be used for score determination. Instead of giving a single number at a time, a confidence interval may be displayed to emphasize the fact that the score is determined partially based on old measurements. If there is a chance that the actual score is higher and may exceed a critical alarm threshold, a notification can be issued to advise a new measurement reading to improve score confidence.
Abstract:
A method includes generating at least first and second histograms respectively for at least first and second sets of vital sign measurements using at least first and second predetermined bins. The first and second sets of the vital sign measurements each include at least two measurements acquired at different times, and the first and second vital sign are different vital signs. The method further includes generating a first score distribution for the first vital sign by mapping each bin of the first predetermined bins to a corresponding predetermined score. The method further includes generating a second score distribution for the second vital sign by mapping each bin of the second predetermined bins to a corresponding predetermined score. The method further includes generating a compound score distribution for the first and second vital signs based on the first and second score distributions, the compound score distribution indicates a patient's health state.
Abstract:
A system (38) and a method (150) for optimization of alarm settings of a clinical alarm algorithm. Clinical monitoring data (CMD) employed by the clinical alarm algorithm is acquired over a user-defined period of time. Proposed settings are determined for one or more parameters of the clinical alarm algorithm. The clinical monitoring algorithm is applied to the acquired CMD with the proposed settings to determine regeneration results predicting alarm load for different combinations of the proposed settings.
Abstract:
A method for providing one or more customized alarm setting recommendations for a patient includes the steps of: providing a patient monitor configured to monitor the patient, the patient monitor comprising a patient sensor and a processor configured to receive the sensor data from the patient sensor, receiving, by the patient monitor, information about a patient; analyzing, by the processor using an alarm setting recommendation classifier, the received information about the patient to generate one or more alarm setting recommendations customized to the patient; providing the one or more alarm setting recommendations to the user, and receiving input from the user accepting, rejecting, and/or modifying the alarm setting recommendations.