System and method for generating feeback on physiometry analyzed during automated patient management

Abstract

A system and method for generating feedback on physiometry analyzed during automated patient management is described. A patient enrolled in automated patient care is identified, along with information including at least one of treatment profile and medical history. Collected device measures are received to provide raw physiometry for the patient that was regularly monitored and recorded by a medical device. Derived device measures are determined to provide derivative physiometry based on the collected device measures. The collected and derived device measures quantify feedback including an analyzed pathophysiology indicative of patient well being.

1 . Stored feedback on physiometry analyzed during automated patient management, comprising: 
 information to identify a patient enrolled in automated patient care and comprising at least one of treatment profile and medical history;    collected device measures to provide raw physiometry for the patient that was regularly monitored and recorded by a medical device; and    derived device measures to provide derivative physiometry based on the collected device measures,    wherein the collected and derived device measures quantify feedback comprising an analyzed pathophysiology indicative of patient well being.    
     
     
         2 . Stored feedback according to  claim 1 , further comprising: 
 at least one feedback message selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the medical device.    
     
     
         3 . Stored feedback according to  claim 1 , further comprising: 
 evaluation parameters to define a threshold for the pathophysiology in terms of the patient well being; and    a wellness indicator determined by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         4 . Stored feedback according to  claim 3 , further comprising: 
 a trend indicator determined by evaluating a plurality of the wellness indicators to identify one of an absence, onset, progression, regression, and status quo of a physiological disorder.    
     
     
         5 . Stored feedback according to  claim 1 , further comprising: 
 a baseline pathophysiology quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         6 . Stored feedback according to  claim 1 , further comprising: 
 quality of life measures to provide qualified voice feedback data electronically recorded by the patient contemporaneous to recordation of the collected device measures.    
     
     
         7 . Stored feedback according to  claim 1 , further comprising: 
 an index physiological disorder determined by evaluating a plurality of the wellness indicators to order and prioritize multiple near-simultaneous physiological disorders.    
     
     
         8 . Stored feedback according to  claim 1 , wherein the medical device comprises one of an implantable medical device and an external medical device.  
     
     
         9 . A patient communicator for generating feedback on physiometry analyzed during automated patient management, comprising: 
 information comprising at least one of treatment profile and medical history for a particular patient enrolled in automated patient care;    collected device measures to provide raw physiometry for the patient that was regularly monitored and recorded by a medical device; and    derived device measures to provide derivative physiometry based on the collected device measures,    wherein the collected and derived device measures quantify feedback comprising an analyzed pathophysiology indicative of patient well being.    
     
     
         10 . A patient communicator according to  claim 9 , further comprising: 
 at least one feedback message selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the medical device.    
     
     
         11 . A patient communicator according to  claim 9 , further comprising: 
 evaluation parameters to define a threshold for the pathophysiology in terms of the patient well being; and    a wellness indicator determined by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         12 . A patient communicator according to  claim 11 , further comprising: 
 a trend indicator determined by evaluating a plurality of the wellness indicators to identify one of an absence, onset, progression, regression, and status quo of a physiological disorder.    
     
     
         13 . A patient communicator according to  claim 9 , further comprising: 
 a baseline pathophysiology quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         14 . A patient communicator according to  claim 9 , wherein the medical device comprises one of an implantable medical device and an external medical device.  
     
     
         15 . An analysis system for generating feedback on physiometry analyzed during automated patient management, comprising: 
 a database to store patient records that each comprise: 
 information to identify a patient enrolled in automated patient care and comprising at least one of treatment profile and medical history; and  
 collected device measures to provide raw physiometry for the patient that was regularly monitored and recorded by a medical device;  
   an interface to periodically receive the collected device measures; and    a processing module, comprising: 
 a data processor to determine derived device measures based on the collected device measures to provide derivative physiometry; and  
 an analyzer to evaluate the collected and derived device measures to quantify feedback comprising an analyzed pathophysiology indicative of patient well being.  
   
     
     
         16 . An analysis system according to  claim 15 , further comprising: 
 a feedback module to generate at least one feedback message selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the medical device.    
     
     
         17 . An analysis system according to  claim 15 , further comprising: 
 evaluation parameters to define a threshold for the pathophysiology in terms of the patient well being; and    a wellness indicator determined by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         18 . An analysis system according to  claim 17 , further comprising: 
 a trend indicator determined by evaluating a plurality of the wellness indicators to identify one of an absence, onset, progression, regression, and status quo of a physiological disorder.    
     
     
         19 . An analysis system according to  claim 15 , further comprising: 
 a baseline pathophysiology quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         20 . An analysis system according to  claim 15 , further comprising: 
 an index physiological disorder determined by evaluating a plurality of the wellness indicators to order and prioritize multiple near-simultaneous physiological disorders.    
     
     
         21 . An analysis system according to  claim 15 , wherein the medical device comprises one of an implantable medical device and an external medical device.  
     
     
         22 . A structured record to store feedback on physiometry analyzed during automated patient management, comprising: 
 structured data for a patient enrolled in automated patient care, comprising at least one of: 
 collected device measures to provide raw physiometry for the patient that was regularly monitored and recorded by a medical device;  
 derived device measures to provide derivative physiometry based on the collected device measures; and  
 quality of life measures to provide qualified voice feedback data electronically recorded by the patient contemporaneous to recordation of the collected device measures,  
   wherein the collected and derived device measures quantify and the quality of life measures qualify an analyzed pathophysiology indicative of patient well being.    
     
     
         23 . A structured record according to  claim 22 , further comprising: 
 at least one feedback message selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the medical device.    
     
     
         24 . A structured record according to  claim 22 , further comprising: 
 a wellness indicator determined by analyzing one or more of the collected and derived device measures against evaluation parameters that define a threshold for the pathophysiology in terms of the patient well being.    
     
     
         25 . A structured record according to  claim 24 , further comprising: 
 a trend indicator determined by evaluating a plurality of the wellness indicators to identify one of an absence, onset, progression, regression, and status quo of a physiological disorder.    
     
     
         26 . A structured record according to  claim 22 , further comprising: 
 a baseline pathophysiology quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         27 . A structured record according to  claim 22 , further comprising: 
 an index physiological disorder determined by evaluating a plurality of the wellness indicators to order and prioritize multiple near-simultaneous physiological disorders.    
     
     
         28 . A structured record according to  claim 22 , wherein the medical device comprises one of an implantable medical device and an external medical device.  
     
     
         29 . A method for generating feedback on physiometry analyzed during automated patient management, comprising: 
 identifying a patient enrolled in automated patient care with information comprising at least one of treatment profile and medical history;    receiving collected device measures to provide raw physiometry for the patient that was regularly monitored and recorded by a medical device; and    determining derived device measures to provide derivative physiometry based on the collected device measures, wherein the collected and derived device measures quantify feedback comprising an analyzed pathophysiology indicative of patient well being.    
     
     
         30 . A method according to  claim 29 , further comprising: 
 generating at least one feedback message selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the medical device.    
     
     
         31 . A method according to  claim 29 , further comprising: 
 specifying evaluation parameters to define a threshold for the pathophysiology in terms of the patient well being; and    determining a wellness indicator by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         32 . A method according to  claim 31 , further comprising: 
 determining a trend indicator by evaluating a plurality of the wellness indicators to identify one of an absence, onset, progression, regression, and status quo of a physiological disorder.    
     
     
         33 . A method according to  claim 29 , further comprising: 
 determining a baseline pathophysiology by quantifying those of the collected and derived device measures associated with a fixed time period.    
     
     
         34 . A method according to  claim 29 , further comprising: 
 determining an index physiological disorder by evaluating a plurality of the wellness indicators to order and prioritize multiple near-simultaneous physiological disorders.    
     
     
         35 . A method according to  claim 29 , wherein the medical device comprises one of an implantable medical device and an external medical device.  
     
     
         36 . A computer-readable storage medium holding code for performing the method according to  claim 29.