Process and apparatus for patient danger recognition and forecasting of a danger condition, especially in case of intensive medical care
First Claim
1. A process for the recognition and forecasting of a possible danger condition, especially for intensive medical care where an endangered patient is under continuous instrumental and personal attendance, which danger conditions is a complex function of several variables that are continuously measured specific conditional characteristics, data reported occasionally by the attending personnel, data obtained from the anamnesis, and data representing time durations that have elapsed since the occurrence of certain events, the process comprising the steps of:
- using the variables to set up a danger function that represents the probability of occurrence of the danger condition;
forming discrete average values of the danger function throughout subsequent predetermined discrete time periods that are substantially shorter than the average time required for a medical intervention, known to be between 2 and 10 minutes, to overcome the danger condition;
comparing the formed average values with respective levels of discrete increasing predetermined sequences of threshold values;
providing an indication associated with a highest momentaneous exceeded threshold value;
using the discrete average values to set up a regression function which approximates the sequence thereof;
determining a subsequent extrapolated value of the regression function for the next time period that represents a forecast average value of the danger function; and
also indicating the extrapolated value provided it is higher than a predetermined level which latter corresponds to at least the lowest one of the threshold values;
which lowest value has not been exceeded during said comparing step.
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Accused Products
Abstract
Process and apparatus for patient danger recognition and forecasting, particularly for the intensive medical care of the patient. The invention uses various variables to set up a danger function that represents the probability of occurrence of a danger condition, forms average values of the danger function throughout subsequent time periods that are shorter than the time required for a medical intervention, by comparing the formed average values with levels of increasing sequences of threshold values, providing an indication associated with the highest exceeded threshold value, using the average values to set up a regression function which approximates the sequence thereof, determining a subsequent extrapolated value of the function for the next time period that represents a forecast average value of the danger function, and indicating the extrapolated value provided it is higher than a predetermined level. Preferably three threshold values are used in the comparing step, with magnitudes of 40, 60 and 80% of the danger function, respectively.
46 Citations
11 Claims
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1. A process for the recognition and forecasting of a possible danger condition, especially for intensive medical care where an endangered patient is under continuous instrumental and personal attendance, which danger conditions is a complex function of several variables that are continuously measured specific conditional characteristics, data reported occasionally by the attending personnel, data obtained from the anamnesis, and data representing time durations that have elapsed since the occurrence of certain events, the process comprising the steps of:
- using the variables to set up a danger function that represents the probability of occurrence of the danger condition;
forming discrete average values of the danger function throughout subsequent predetermined discrete time periods that are substantially shorter than the average time required for a medical intervention, known to be between 2 and 10 minutes, to overcome the danger condition;
comparing the formed average values with respective levels of discrete increasing predetermined sequences of threshold values;
providing an indication associated with a highest momentaneous exceeded threshold value;
using the discrete average values to set up a regression function which approximates the sequence thereof;
determining a subsequent extrapolated value of the regression function for the next time period that represents a forecast average value of the danger function; and
also indicating the extrapolated value provided it is higher than a predetermined level which latter corresponds to at least the lowest one of the threshold values;
which lowest value has not been exceeded during said comparing step. - View Dependent Claims (2)
- using the variables to set up a danger function that represents the probability of occurrence of the danger condition;
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3. An apparatus for the recognition and forecasting of a possible danger condition, especially for intensive medical care, where an endangered patient is under continuous instrumental and personal attendance, comprising, in combination:
- an operating unit (8) located in the vicinity of the patient, to receive results of observances, adjusted by the attending personnel, and from instruments that measure specific conditional characteristics related to the occurrence of the danger condition;
a danger function generator (2) having inputs (9) for receiving output signals of said instruments and for providing a danger function (F/D/) at its output that represents the probability of occurrence of the danger condition;
an averaging unit (3) having an input connected to said generator output, for averaging the danger function throughout subsequent predetermined discrete time periods;
digital comparator means (74 to
76) connected to an output (80) of said averaging unit, for comparing the average values with at least one predetermined threshold value in each time period;
an indicating unit (7, 45,
70) connected to signal outputs (82,
83) of said comparator means, for giving indications of degrees of the danger condition, depending on said comparator outputs;
a forecasting unit (4) also connected to said averaging output, including a shift memory (40 to
43) having at least two memory elements for storing a number of the subsequent average values obtained during the preceding predetermined time periods;
said forecasting unit serving to establish a regression function which approximates the sequence of the stored average values and to forecast by an indication via an additional element (45) of said indicating unit, by way of D/A conversion, analog addition and comparison in elements (46, 48,
47) of said forecasting unit, a subsequent extrapolated value of the regression function for the next time period; and
a control unit (5) for determining the time periods, being connected to said averaging unit and said forecasting unit. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11)
- an operating unit (8) located in the vicinity of the patient, to receive results of observances, adjusted by the attending personnel, and from instruments that measure specific conditional characteristics related to the occurrence of the danger condition;
Specification