Abstract: The capillary refill time (CRT) of a patient is an important feature in the determination of cardiovascular system health. Quick re-perfusion of the microcirculation (namely, the capillaries) is a good indication that the cardiovascular system is able to efficiently distribute blood throughout the body. Current systems use unreliable or subjective methods to test the CRT. Additionally, the calculation of CRT is not generally used in the adult medical space as it is more commonly used in pediatrics. The present application describes a system and method for calculating a patient's CRT using a mobile device with an integrated camera and light source, or an optical head-mounted display using a light source in combination with ambient light to calculate the CRT. Once a patient's CRT is calculated, an integrated application classifies the data and sends it to the treating clinician for review.

Abstract: A system, method and non-transitory computer readable storage medium for monitoring a perfusion of a patient. The system, method and computer readable storage medium receive an indication of a voltage applied across a chest of the patient via a first electrode, receive a measurement of a current across the chest of the patient, resulting from the applied voltage via a second electrode, generate an impedance-based respiratory rate waveform based on the applied voltage and the measured current, generate a Fourier Transform of the respiratory rate waveform relative to a heartbeat of the patient, isolate cardiac artifacts in the Fourier Transform and generate a perfusion waveform indicating a perfusion of a chest cavity of the patient based on the isolated cardiac artifacts.

Abstract: The capillary refill time (CRT) of a patient is an important feature in the determination of cardiovascular system health quick reperfusion of the microcirculation (namely, the capillaries) is a good indication that the cardiovascular system is able to efficiently distribute blood throughout the body. Current systems use unreliable or subjective methods to test the CRT. Additionally, the calculation of CRT is not generally used in the adult medical space as it is more commonly used in pediatrics. The present application describes a system and method for calculating a patient's CRT using a mobile device (102, 200, 300) with an integrated camera (204, 302) and light source (202), or an optical head-mounted display (300) using a light source (202) in combination with ambient light to calculate the CRT. Once a patient's CRT is calculated, the integrated application (206, 306) classifies the data and sends it to the treating clinician for review.

Abstract: A medical modeling system and method predict a risk of a physiological condition, such as mortality, for a patient. Measurements of a plurality of predictive variables for the patient are received. The plurality of predictive variables are predictive of the risk of the physiological condition. The risk of the physiological condition is calculated by applying the received measurements to at least one model modeling the risk of the physiological condition using the plurality of predictive variables. The at least one model includes at least one of a hidden Markov model and a logistic regression model. An indication of the risk of the physiological condition is output to a clinician.

Abstract: A system, method and non-transitory computer readable storage medium for monitoring a perfusion of a patient. The system, method and computer readable storage medium receive an indication of a voltage applied across a chest of the patient via a first electrode, receive a measurement of a current across the chest of the patient, resulting from the applied voltage via a second electrode, generate an impedance-based respiratory rate waveform based on the applied voltage and the measured current, generate a Fourier Transform of the respiratory rate waveform relative to a heartbeat of the patient, isolate cardiac artifacts in the Fourier Trans form and generate a perfusion waveform indicating a perfusion of a chest cavity of the patient based on the isolated cardiac artifacts.

Abstract: A medical system includes a plurality of portable vital sign monitors (12), a patient assessment unit (24), a patient watch-dog unit (42), and at least one display device (44). Each monitor continuously monitors vital signs of a subject (12) from a point of initial contact with a healthcare professional and wirelessly transmits the monitored vital signs, and the vital signs include blood pressure (BP), blood oxygen (SpO2), heart rate (HR), and respiratory rate (RR). The patient assessment unit (24) receives the transmitted monitored vital signs of each subject and determines a triage score based on the received vital signs, and subject gender, subject age, and subject symptoms. The patient watch-dog unit (42) constructs a display of a patient trajectory of each subject and the trajectory includes the monitored vital signs, the determined triage score, and the subject gender, the subject age, and the subject symptoms.

Abstract: A medical system (10) and method monitor a patient. Patient data for the patient received. The patient data includes vital sign measurements and laboratory results. A vital signs instability index (VIX) regarding a physiological condition of the patient is calculated from the received vital sign measurements. A laboratory instability index (LIX) regarding the physiological condition is calculated from the received laboratory results. The VIX and the LIX are integrated into an indicator of patient deterioration.

Abstract: A system (202) generates patient alarms using a stepped alarm scheme. The system (202) includes one or more processors (220) programmed to receive physiological scores and/or physiological parameter values; compare the physiological scores and/or the physiological parameter values to a plurality of alarm levels; in response to a physiological score and/or physiological parameter value falling within an uninhibited zone of the alarm levels, issue an alarm; and set a first inhibition period for the uninhibited alarm level after issuing the alarm.

Abstract: A medical modeling system and method predict a risk of a physiological condition, such as mortality, for a patient. Measurements of a plurality of predictive variables for the patient are received. The plurality of predictive variables are predictive of the risk of the physiological condition. The risk of the physiological condition is calculated by applying the received measurements to at least one model modeling the risk of the physiological condition using the plurality of predictive variables. The at least one model includes at least one of a hidden Markov model and a logistic regression model. An indication of the risk of the physiological condition is output to a clinician.

Abstract: A medical system (10) and method monitor a patient. Patient data for the patient received. The patient data includes vital sign measurements and laboratory results. A vital signs instability index (VEX) regarding a physiological condition of the patient is calculated from the received vital sign measurements. A laboratory instability index (LIX) regarding the physiological condition is calculated from the received laboratory results. The VEX and the LIX are integrated into an indicator of patient deterioration.

Abstract: A clinical decision support system (16) monitors one or more patients. The system (16) includes one or more processors (84) programmed to receive patient data for the patients. For each patient, one or more monitoring rules are selected from a plurality of monitoring rules based on patient data availability and/or patient context. A determination is made as to whether a patient is deteriorating using the selected monitoring rules for the patient. In response to determining the patient is deteriorating, an alert is generated.

Abstract: A system (202) generates patient alarms using a stepped alarm scheme. The system (202) includes one or more processors (220) programmed to receive physiological scores and/or physiological parameter values; compare the physiological scores and/or the physiological parameter values to a plurality of alarm levels; in response to a physiological score and/or physiological parameter value falling within an uninhibited zone of the alarm levels, issue an alarm; and set a first inhibition period for the uninhibited alarm level after issuing the alarm.