Event-based medical decision support system
AssigneeMaquet Critical Care AB
InventorFredrik Jalde
Life of this patent
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Abstract
A clinical decision support system for supporting a clinician in decisions relating to a patient is disclosed. The system may include at least one computer performing an event correlation trend analysis based on physiological parameters obtained from the patient. The computer is configured to perform the analysis by: identifying occurrences of a primary physiological event; identifying occurrences of at least one secondary physiological event that is physiologically linked to the primary physiological event; establishing a trend of correlation between the primary physiological event and the at least one secondary physiological event; and presenting event correlation trend data indicative of the trend on a display of the clinical decision support system.
Claims21
A method for supporting a clinician in decisions relating to a patient, comprising the steps of:
- performing, via a processor, an event correlation trend analysis based on physiological parameters obtained from the patient, the event correlation trend analysis being performed by a clinical decision support system that performs the steps of:
- identifying occurrences of a primary physiological event based on a first physiological parameter measured via a first sensor;
- identifying occurrences of at least one secondary physiological event that is physiologically linked to the primary physiological event based on at least one second physiological parameter measured via at least one second sensor;
- establishing a trend of correlation between the primary physiological event and each of the at least one secondary physiological event during an analysis time period that is divided into discrete time windows, the trend of correlation determined based on event correlation trend data including a number of occurrences of the primary physiological event and each of the at least one secondary physiological events during each of the discrete time windows, wherein the primary physiological event and the at least one secondary physiological event are selected from the group consisting of apnea, bradycardia and oxygen desaturation;
- presenting the trend of correlation on a display of the clinical decision support system in real-time via an event correlation trend plot including at least one graph illustrating the trend of correlation between the primary physiological event and the at least one secondary physiological event;
- and
- one of increasing and initiating a ventilatory support provided to the patient when a positive trend of correlation is established, wherein the ventilatory support includes one of mechanical ventilation, CPAP and oxygen flow therapy.
A clinical monitoring system configured to monitor multiple different types of physiological events and to determine a correlation between different types of physiological events, the system comprising:
- at least one computer configured to perform an event correlation trend analysis based on physiological parameters obtained from a patient;
- a first sensor and at least one second sensor, each of the first sensor and the at least one second sensor selected from a group consisting of:
- a heart rate sensor obtaining heart rate data from the patient and that is operably connected to send the heart rate data to the computer;
- a blood oxygen sensor obtaining blood oxygen saturation data from the patient and that is operably connected to send the blood oxygen saturation data to the computer;
- a respiratory sensor obtaining respiratory activity data from the patient and that is operably connected to send the respiratory activity data to the computer;
- and
- a display operably connected to the computer,
- wherein the first sensor and the at least one second sensor are operably connected to the computer, and the computer is configured to perform the event correlation analysis by
- identifying and monitoring occurrences of a primary physiological event based on the data received from the first sensor,
- identifying and monitoring occurrences of at least one secondary physiological event that is physiologically linked to the primary physiological event, wherein the occurrences of the at least one secondary physiological event are identified based on the data received from the at least one second sensor,
- establishing a trend of correlation between the primary physiological event and the at least one secondary physiological event during an analysis time period that is divided into discrete time windows, the trend of correlation determined based on event correlation trend data including a number of occurrences of the primary physiological event and each of the at least one secondary physiological events during each of the discrete time windows, wherein the primary physiological event and the at least one secondary physiological event are selected from the group consisting of apnea, bradycardia and oxygen desaturation,
- presenting the trend of correlation on the display of the clinical monitoring system in real-time via an event correlation trend plot including at least one graph illustrating the trend of correlation between the primary physiological event and the at least one secondary physiological event, and
- one of increasing and initiating a ventilatory support provided to the patient when a positive trend of correlation is established, wherein the ventilatory support includes one of mechanical ventilation, CPAP and oxygen flow therapy.
Dependencies are inferred from the claim text.