Anesthesia drug monitor
First Claim
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1. A system for modeling and predicting anesthesia drug effects on a patient, comprising:
- a drug delivery system configured to deliver anesthesia drugs into the patient;
a data stream device, in communication with the drug delivery systema simulator in communication with the drug delivery system, the simulator being configured to simulate drug administration effects and simulate infusion drugs by representing drug effects over time as a multi-dimensional visualization;
a drug display monitor in communication with the data stream device and including;
a data decoder receiving data from the data stream device;
a dosage calculator receiving decoded data from the data decoder;
a drug modeler and normalizer receiving calculated data from the data decoder;
the drug modeler configured to determine a present and future probability of effectiveness of at least one drug introduced into the subject by the drug delivery system, wherein the present and future probabilities of drug effectiveness include a correlation of modeled pharamacokinetic data and modeled pharmacodynamic data; and
a display generator that produces a display of;
the present and future probabilities of effectiveness including predicted pharamacokinetic effect side concentrations depicted as a percent of a concentration value corresponding to a known pharmacodynamic probability of causing a particular bodily effect;
a three-dimensional plot configured to provide a three-dimensional view of the effect of interactions of at least two anesthesia medicines;
a bar graph and drug synergism is shown as an additional bar on the bar graph representing the additional effect on the patient due to drug interactions as the simulator simulates anesthetic drugs from the multi-dimensional visualizationa probability of effectiveness of at least one drug administered, including at least one of;
a probability that a subject will be rendered unconscious by at least one drug having a sedative effect;
a probability that a subject will not exhibit pain from laryngoscopy, incision, or post-operative recovery of surgery by at least one drug having and analgesic effect; and
a probability that a subject will not exhibit a response to a train-of-four electrical muscle stimulation by at least one drug having a neuromuscular blocking effect, the probability of effectiveness determined based upon the model.
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Abstract
A method, system and apparatus for the monitoring, diagnosis and evaluation of the state of a dynamic drug display system is disclosed. This invention provides for the rapid cognitive grasp of the overall state of drug combination effects with respect to a dynamic system. The system provides for displayed objects, which change in real-time to show the changes of the functions of the system. In particular, this invention is directed to the processing and display of drug data for the use of doctors in the process of monitoring or administering drugs to patients.
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Citations
27 Claims
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1. A system for modeling and predicting anesthesia drug effects on a patient, comprising:
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a drug delivery system configured to deliver anesthesia drugs into the patient; a data stream device, in communication with the drug delivery system a simulator in communication with the drug delivery system, the simulator being configured to simulate drug administration effects and simulate infusion drugs by representing drug effects over time as a multi-dimensional visualization; a drug display monitor in communication with the data stream device and including; a data decoder receiving data from the data stream device; a dosage calculator receiving decoded data from the data decoder; a drug modeler and normalizer receiving calculated data from the data decoder; the drug modeler configured to determine a present and future probability of effectiveness of at least one drug introduced into the subject by the drug delivery system, wherein the present and future probabilities of drug effectiveness include a correlation of modeled pharamacokinetic data and modeled pharmacodynamic data; and a display generator that produces a display of; the present and future probabilities of effectiveness including predicted pharamacokinetic effect side concentrations depicted as a percent of a concentration value corresponding to a known pharmacodynamic probability of causing a particular bodily effect; a three-dimensional plot configured to provide a three-dimensional view of the effect of interactions of at least two anesthesia medicines; a bar graph and drug synergism is shown as an additional bar on the bar graph representing the additional effect on the patient due to drug interactions as the simulator simulates anesthetic drugs from the multi-dimensional visualization a probability of effectiveness of at least one drug administered, including at least one of; a probability that a subject will be rendered unconscious by at least one drug having a sedative effect; a probability that a subject will not exhibit pain from laryngoscopy, incision, or post-operative recovery of surgery by at least one drug having and analgesic effect; and
a probability that a subject will not exhibit a response to a train-of-four electrical muscle stimulation by at least one drug having a neuromuscular blocking effect, the probability of effectiveness determined based upon the model. - View Dependent Claims (2, 3, 4, 12, 13, 14, 23, 24, 25)
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5. A system for modeling and predicting anesthesia drug effects on a patient, comprising:
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a processor, computing drug models, producing an internal representation of drug display data and decoding a data stream, wherein the processor is configured to determine a present and future probability effectiveness of at least one drug introduced into the subject by the drug delivery system, wherein the present and future probabilities of effectiveness include a correlation of a predicted drug effect site concentration based on modeled pharmacokinetic data and modeled pharmacodynamic data; wherein the future probability of effectiveness of the at least one drug is represented in real time, comprising; (A) a graph depicting a probability of effectiveness of at least one sedative, referenced according to a measure of consciousness; (B) a graph depicting a probability of effectiveness of at least one analgesic, referenced according to a measure of surgical stimuli and according to a measure of laryngoscopy; and (C) a graph depicting a probability of effectiveness of at least one neuromuscular blocking agent, referenced according to a measure of neuromuscular blocking, a memory unit in communication with the processor; a long term memory unit in communication with the processor; a graphics adapter in communication with the processor; and a display monitor, in communication with the graphics adapter, configured to graphically depict; a mode of administration of at least one drug, with different modes of administration being readily identifiable and readily distinguishable from one another, a three-dimensional plot configured to provide a three-dimensional view of the effect of interactions of at local two anesthesia medicine; a bar graph wherein drug synergism is shown as an additional bar on the bar graph representing the additional effect on the patient due to drug interactions; and
further configured to depict, in substantially real time, the present and future probabilities of effectiveness including predicted pharmacokinetic effect site concentrations depleted as a percent of a concentration value corresponding to a known pharmacodynamic probability of causing a particular bodily effect. - View Dependent Claims (6, 7, 8, 9, 10, 11, 18, 19, 20, 21, 22, 26, 27)
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15. A method for modeling and predicting drug anesthesia drug effects on a patient, comprising:
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determining a present and future probability of effectiveness of at least one drug introduced into a subject by a drug delivery system, wherein the present and future probabilities of effectiveness include a correlation of a predicted drug effect site concentration based on modeled pharmacokinetic data and a probability of achieving a bodily effect on the patient based on modeled pharmacodynamic, pharmacokinetic and pharmacodynamic drug interactions, and a predictive pharmacodynamic model including a three-dimensional surface developed from data corresponding to pharmacodynamic effectiveness of the at least one drug on a plurality of individuals to whom the at least one drug was previously administered; converting the three-dimensional surface to a simplified two-dimensional model; displaying a bar graph and drug synergism is shown as an additional bar on the bar graph representing the additional effect on the patient due to drug interactions; and displaying the two-dimensional model on a display;
including at least one indicator of the probability of effectiveness of the at least one drug and including predicted pharamacokinetic effect site concentrations depicted as a percent of a concentration value corresponding to a known pharmacodynamic probability of causing a particular bodily effect, wherein the two-dimensional model includes indicators of at least one of;a probability that a subject will be rendered unconscious by at least one drug having a sedative effect; a probability that a subject will not exhibit pain from laryngoscopy, incision, or post-operative recovery of surgery by at least one drug having and analgesic effect; and a probability that a subject will not exhibit a response to a train-of-four electrical muscle stimulation by at least one drug having a neuromuscular blocking effect. - View Dependent Claims (16, 17)
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Specification