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 .- 20 . (canceled) 
     
     
         21 . A system for event driven patient monitoring and treatment of a patient undergoing a current treatment, comprising:
 a plurality of physiological sensors coupled to the patient and configured to produce patient-specific data from the patient;   a treatment device coupled to the patient and configured to administer a treatment to the patient under control of a computer;   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 the patient, the patient-specific data comprising at least data from one of the plurality of sensors coupled with the patient; 
 determine a plurality of physiological variables based on the received patient-specific data; 
 determine a plurality of possible clinical patient states under which the patient can be categorized; 
 determine from the physiological variables, a current clinical patient state, from among the plurality of possible clinical patient states, under which the patient can be categorized; 
 determine, for each of the plurality of possible clinical patient states, corresponding probabilities associated with future transitions from the current clinical patient state to every other possible clinical patient state of the plurality of possible clinical patient states, under the current treatment administered to the patient; 
 determine, for each of a set of hypothetical treatment options, for each possible clinical patient state from among the plurality of possible clinical patient states, corresponding probabilities associated with future transitions from the current clinical patient state to every other possible clinical patient; 
 select a treatment option from the set of hypothetical treatments options; and 
 send a signal to the treatment device coupled to the patient so that the signal causes the treatment device to administer the selected treatment option to the patient. 
   
     
     
         22 . 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. 
     
     
         23 . The system of claim  1 , 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. 
     
     
         24 . The system of claim  1 , 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:
 receive updated patient-specific data;   automatically determine, for each of the plurality of possible patient states, corresponding updated probabilities associated with transitioning from a then-current patient state to every other possible patient state from among the plurality of possible clinical patient states, based on treatment information associated with the treatments being provided to the patient and the updated patient-specific data received.   
     
     
         25 . A computer-implemented method for event driven patient monitoring and treatment of a patient undergoing a current treatment, comprising:
 coupling a plurality of physiological sensors to the patient, the plurality of physiological sensors configured to produce patient-specific data from the patient;   coupling a treatment device to the patient, the treatment device configured to administer a treatment to the patient under control of a computer;   receiving patient-specific data associated with the patient, the patient-specific data comprising at least data from one of the plurality of sensors coupled with the patient;   determining, by a computer, a plurality of physiological variables based on the received patient-specific data;   determining, by a computer, a plurality of possible clinical patient states under which the patient can be categorized;   determining, by a computer, from the physiological variables, a current clinical patient state, from among the plurality of possible clinical patient states, under which the patient can be categorized;   determining, by a computer, for each of the plurality of possible clinical patient states, corresponding probabilities associated with future transitions from the current clinical patient state to every other possible clinical patient state of the plurality of possible clinical patient states, under the current treatment administered to the patient;   determining, by a computer, for each of a set of hypothetical treatment options, for each possible clinical patient state from among the plurality of possible clinical patient states, corresponding probabilities associated with future transitions from the current clinical patient state to every other possible clinical patient state;   selecting, by a computer, a treatment option from the set of hypothetical treatments options; and   sending a signal to the treatment device coupled to the patient so that the signal causes the treatment device to administer the selected treatment option to the patient.   
     
     
         26 . The method of claim  5 , wherein the patient-specific data comprises medical conditions associated with the patient and physiological data associated with the patient's physiology. 
     
     
         27 . The method of claim  5 , 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. 
     
     
         28 . The method of claim  5 , 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:
 receive updated patient-specific data;   automatically determine, for each of the plurality of possible patient states, corresponding updated probabilities associated with transitioning from a then-current patient state to every other possible patient state from among the plurality of possible clinical patient states, based on treatment information associated with the treatments being provided to the patient and the updated patient-specific data received.   
     
     
         29 . A non-transitory 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 the patient, the patient-specific data comprising at least data from one of the plurality of sensors coupled with the patient;   determine a plurality of physiological variables based on the received patient-specific data;   determine a plurality of possible clinical patient states under which the patient can be categorized;   determine from the physiological variables, a current clinical patient state, from among the plurality of possible clinical patient states, under which the patient can be categorized;   determine, for each of the plurality of possible clinical patient states, corresponding probabilities associated with future transitions from the current clinical patient state to every other possible clinical patient state of the plurality of possible clinical patient states, under the current treatment administered to the patient;   determine, for each of a set of hypothetical treatment options, for each possible clinical patient state from among the plurality of possible clinical patient states, corresponding probabilities associated with future transitions from the current clinical patient state to every other possible clinical patient;   select a treatment option from the set of hypothetical treatments options; and   control a treatment device by sending a signal to the treatment device coupled to the patient so that the signal causes the treatment device to administer the selected treatment option to the patient.   
     
     
         30 . The non-transitory computer-readable medium of claim  9 , wherein the patient-specific data comprises medical conditions associated with the patient and physiological data associated with the patient's physiology. 
     
     
         31 . The non-transitory computer-readable medium of claim  9 , 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. 
     
     
         32 . The non-transitory computer-readable medium 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 the processor is further configured to:
 receive updated patient-specific data;   automatically determine, for each of the plurality of possible patient states, corresponding updated probabilities associated with transitioning from a then-current patient state to every other possible patient state from among the plurality of possible clinical patient states, based on treatment information associated with the treatments being provided to the patient and the updated patient-specific data received.