Systems and methods for optimizing medical care through data monitoring and feedback treatment

Abstract

Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.

1 . A system for modeling patient outcomes resulting from medical treatment, comprising:
 a processor;   a memory coupled to the processor, the memory having computer-executable instructions stored thereon, which when executed by the processor, cause the processor to:
 receive patient-specific data associated with a patient; 
 determine a plurality of possible patient states under which the patient can be categorized; 
 determine a current patient state under which the patient can be categorized; and 
 determine, for each possible patient state, corresponding probabilities associated with transitioning from a respective patient state to every other possible patient state. 
   
     
     
         2 . The system of  claim 1 , wherein the patient-specific data comprises medical conditions associated with the patient and physiological data associated with the patient's physiology. 
     
     
         3 . The system of  claim 1 , wherein the processor is further configured to receive treatment information associated with treatments being provided to the patient; and
 wherein the processor is configured to determine, for each possible patient state, corresponding probabilities associated with transitioning from the respective patient state to every other possible patient state is based on treatment information associated with the treatments being provided to the patient.   
     
     
         4 . The system of  claim 3 , wherein the processor is further configured to provide a treatment recommendation based on the current patient state of the patient and the corresponding probabilities associated with transitioning from the current patient state to every other possible patient state. 
     
     
         5 . The system of  claim 3 , wherein the processor is further configured to assign a risk index which indicates how likely the patient is going to transition from the current patient state to a patient state designated as a specific morbidity state or a mortality state. 
     
     
         6 . The system of  claim 3 , wherein receiving patient-specific data associated with a patient comprises periodically receiving updated patient-specific data associated with the patient; and wherein the processor is further configured to:
 automatically determine, for each possible patient state, corresponding updated probabilities associated with transitioning from the respective patient state to every other possible patient state based on treatment information associated with the treatments being provided to the patient and the updated patient-specific data received.   
     
     
         7 . A computer-implemented method for modeling patient outcomes resulting from medical treatment, comprising:
 receiving patient-specific data associated with a patient;   determining, by a computer, a plurality of possible patient states under which the patient can be categorized;   determining, by the computer, a current patient state under which the patient can be categorized; and   determining, for each possible patient state, corresponding probabilities associated with transitioning from a respective patient state to every other possible patient state.   
     
     
         8 . The method of  claim 7 , wherein the patient-specific data comprises medical conditions associated with the patient and physiological data associated with the patient's physiology. 
     
     
         9 . The method of  claim 7 , wherein patient-specific data comprises information associated with treatments being provided to the patient; and
 wherein determining, for each possible patient state, corresponding probabilities associated with transitioning from the respective patient state to every other possible patient state is based on treatment information associated with the treatments being provided to the patient.   
     
     
         10 . The method of  claim 9 , further comprising providing a treatment recommendation based on the current patient state of the patient and the corresponding probabilities associated with transitioning from the current patient state to every other possible patient state. 
     
     
         11 . The method of  claim 9 , further comprising assigning a risk index which indicates how likely the patient is going to transition from the current patient state to a patient state designated as a specific morbidity state or a mortality state. 
     
     
         12 . The method of  claim 9 , wherein receiving patient-specific data associated with a patient comprises periodically receiving updated patient-specific data associated with the patient; and wherein determining a current patient state under which the patient can be categorized comprises automatically determining an updated current patient state under which the patient can be categorized based on the updated patient-specific data associated with the patient. 
     
     
         13 . The method of  claim 12 , wherein determining, for each possible patient state, corresponding probabilities associated with transitioning from the respective patient state to every other possible patient state comprises automatically determining, for each possible patient state, corresponding updated probabilities associated with transitioning from the respective patient state to every other possible patient state based on treatment information associated with the treatments being provided to the patient and the updated patient-specific data received. 
     
     
         14 . A computer-readable medium having computer-executable instructions stored thereon, which when executed by a computer, cause the computer to:
 receive patient-specific data associated with a patient;   determine, by a computer, a plurality of possible patient states under which the patient can be categorized;   determine, by the computer, a current patient state under which the patient can be categorized; and   determine, for each possible patient state, corresponding probabilities associated with transitioning from a respective patient state to every other possible patient state.   
     
     
         15 . The computer-readable medium of  claim 14 , wherein the patient-specific data comprises medical conditions associated with the patient and physiological data associated with the patient's physiology. 
     
     
         16 . The computer-readable medium of  claim 14 , wherein patient-specific data comprises information associated with treatments being provided to the patient; and
 wherein determining, for each possible patient state, corresponding probabilities associated with transitioning from the respective patient state to every other possible patient state is based on treatment information associated with the treatments being provided to the patient.   
     
     
         17 . The computer-readable medium of  claim 16 , having additional computer-executable instructions, which when executed by the computer, cause the computer to provide a treatment recommendation based on the current patient state of the patient and the corresponding probabilities associated with transitioning from the current patient state to every other possible patient state. 
     
     
         18 . The computer-readable medium of  claim 16 , having additional computer-executable instructions, which when executed by the computer, cause the computer to assign a risk index which indicates how likely the patient is going to transition from the current patient state to a patient state designated as a specific morbidity state or a mortality state. 
     
     
         19 . The computer-readable medium of  claim 16 , wherein receiving patient-specific data associated with a patient comprises repeatedly receiving updated patient-specific data associated with the patient; and wherein determining a current patient state under which the patient can be categorized comprises automatically determining an updated current patient state under which the patient can be categorized based on the updated patient-specific data associated with the patient. 
     
     
         20 . The computer-readable medium of  claim 19 , wherein determining, for each possible patient state, corresponding probabilities associated with transitioning from the respective patient state to every other possible patient state comprises automatically determining, for each possible patient state, corresponding updated probabilities associated with transitioning from the respective patient state to every other possible patient state based on treatment information associated with the treatments being provided to the patient and the updated patient-specific data received. 
     
     
         21 . A system for modeling patient outcomes resulting from medical treatment, comprising:
 a processor;   memory coupled to the processor;   a patient course engine, storable in the memory and executable by the processor, for maintaining a plurality of patient state models;   a pharmacokinetic engine, storable in the memory and executable by the processor, for translating medication infusion rates to concentration levels at an affected site of a patient; and   a patient physiology engine, storable in the memory and executable by the processor, responsive to data from the pharmacokinetic engine and for providing to the patient course engine data identifying a current patient model under which the patient can be categorized.   
     
     
         22 . The system of  claim 21 , wherein each patient state model maintained by the patient course engine represents a possible current patient state under which a patient may be categorized, and wherein each patient state and corresponding patient state model can transition to at least one other patient state and corresponding patient state model. 
     
     
         23 . The system of  claim 22 , wherein the patient course engine is configured to determine, for each possible patient state, corresponding probabilities associated with transitioning from a respective patient state to other possible patient states based on treatment information associated with the treatments being provided to the patient. 
     
     
         24 . The system of  claim 23 , wherein the patient course engine is further configured to provide a treatment recommendation based on the current state of the patient and the corresponding probabilities associated with transitioning from the current patient state to other possible patient states. 
     
     
         25 . The system of  claim 22 , wherein the patient course engine is further configured to assign a risk index which indicates how likely the patient is going to transition from the current patient state to a patient state designated as a specific morbidity state or a mortality state. 
     
     
         26 . The system of  claim 21 , wherein the patient physiology engine is further configured to receive treatment information associated with treatments being provided to the patient. 
     
     
         27 . The system of  claim 21 , wherein the patient physiology engine is further configured to receive patient-specific data. 
     
     
         28 . The system of  claim 27 , wherein the patient-specific data comprises data identifying medical conditions associated with the patient. 
     
     
         29 . The system of  claim 27 , wherein the patient-specific data comprises physiological data associated with the patient's physiology. 
     
     
         30 . The system of  claim 21 , wherein the pharmacokinetic engine is further configured to receive data identifying any of medications, medication infusion rates or medication concentration levels associated with the current patient state.