System and method for analyzing data during automated patient management

Abstract

A system and method for analyzing data during automated patient management is disclosed. A patient enrolled under automated patient management is identified with information including at least one of treatment profile and medical history. Device measures are collected to provide raw physiometry for the patient regularly recorded by an implantable medical device. Derived device measures to provide derivative physiometry based on the collected device measures are determined. Data including a patient status indicator determined from the collected and derived device measures in conjunction with the treatment profile or medical history is quantified.

1 . Stored data analyzed during automated patient management, comprising: 
 information to identify a patient enrolled under automated patient management and comprising at least one of treatment profile and medical history;    collected device measures to provide raw physiometry for the patient regularly recorded by an implantable medical device;    derived device measures to provide derivative physiometry based on the collected device measures; and    quantified data comprising a patient status indicator determined from the collected and derived device measures in conjunction with the treatment profile or medical history.    
     
     
         2 . Stored data according to  claim 1 , further comprising: 
 trend data identified by evaluating the collected and derived device measures for an onset, progression, regression, and status quo of a physiological disorder.    
     
     
         3 . Stored data according to  claim 1 , further comprising: 
 baseline data quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         4 . Stored data according to  claim 1 , further comprising: 
 criteria data comprising evaluation parameters for patient well being, wherein the patient indicator is determined by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         5 . Stored data according to  claim 1 , further comprising: 
 feedback data selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the implantable medical device.    
     
     
         6 . A programmer for analyzing data during automated patient management, comprising: 
 information comprising at least one of treatment profile and medical history for a patient enrolled under automated patient management;    storage, comprising: 
 collected device measures to provide raw physiometry for the patient regularly recorded by an implantable medical device; and  
 derived device measures to provide derivative physiometry based on the collected device measures;  
   an interrogator to collect the collected device measures from the implantable medical device; and    a processor to quantify data comprising a patient status indicator determined from the collected and derived device measures in conjunction with the treatment profile or medical history.    
     
     
         7 . A programmer according to  claim 6 , wherein the data further comprises a trend identified by evaluating the collected and derived device measures for an onset, progression, regression, and status quo of a physiological disorder.  
     
     
         8 . A programmer according to  claim 6 , wherein the data further comprises a baseline quantified by those of the collected and derived device measures associated with a fixed time period.  
     
     
         9 . A programmer according to  claim 6 , further comprising: 
 a criteria comprising evaluation parameters for patient well being, wherein the patient indicator is determined by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         10 . A programmer according to  claim 6 , wherein the data further comprises feedback selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the implantable medical device.  
     
     
         11 . A system for analyzing data during automated patient management, comprising: 
 a database, comprising: 
 information to identify a patient enrolled under automated patient management and comprising at least one of treatment profile and medical history;  
 collected device measures to provide raw physiometry for the patient regularly recorded by an implantable medical device; and  
 derived device measures based on the collected device measures to provide derivative physiometry;  
   an interface module to periodically receive the collected device measures from the implantable medical device; and    an application module, comprising: 
 a derivation module to derive the derived device measures from the collected device measures; and  
 a comparison module to quantify data comprising a patient status indicator determined from the collected and derived device measures in conjunction with the treatment profile or medical history.  
   
     
     
         12 . A system according to  claim 11 , further comprising: 
 an analysis module to identify a trend by evaluating the collected and derived device measures for an onset, progression, regression, and status quo of a physiological disorder.    
     
     
         13 . A system according to  claim 11 , further comprising: 
 an analysis module to define a baseline quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         14 . A system according to  claim 11 , further comprising: 
 an analysis module to define a criteria comprising analysis parameters for patient well being, wherein the patient indicator is determined by the processor by analyzing one or more of the collected and derived device measures against the analysis parameters.    
     
     
         15 . A system according to  claim 11 , further comprising: 
 a feedback module to determine feedback selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the implantable medical device.    
     
     
         16 . A structured record to store data analyzed during automated patient management, comprising: 
 structured device data for a patient enrolled under automated patient management, comprising at least one of: 
 collected device measures to provide raw physiometry for the patient regularly recorded by an implantable medical device;  
 derived device measures to provide derivative physiometry based on the collected device measures; and  
   data comprising a patient status indicator determined from the collected and derived device measures in conjunction with the treatment profile or medical history.    
     
     
         17 . A structured record according to  claim 16 , wherein the data further comprises a trend identified by evaluating the collected and derived device measures for an onset, progression, regression, and status quo of a physiological disorder.  
     
     
         18 . A structured record according to  claim 16 , wherein the data further comprises a baseline quantified by those of the collected and derived device measures associated with a fixed time period.  
     
     
         19 . A structured record according to  claim 16 , wherein the data further comprises evaluation parameters for patient well being, wherein the patient indicator is determined by the processor by analyzing one or more of the collected and derived device measures against the evaluation parameters.  
     
     
         20 . A structured record according to  claim 16 , wherein the data further comprises feedback selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the implantable medical device.  
     
     
         21 . A method for analyzing data during automated patient management, comprising: 
 identifying a patient enrolled under automated patient management with information comprising at least one of treatment profile and medical history;    collecting device measures to provide raw physiometry for the patient regularly recorded by an implantable medical device;    determining derived device measures to provide derivative physiometry based on the collected device measures; and    quantifying data comprising a patient status indicator determined from the collected and derived device measures in conjunction with the treatment profile or medical history.    
     
     
         22 . A method according to  claim 21 , further comprising: 
 identifying a trend by evaluating the collected and derived device measures for an onset, progression, regression, and status quo of a physiological disorder.    
     
     
         23 . A method according to  claim 21 , further comprising: 
 defining a baseline quantified by those of the collected and derived device measures associated with a fixed time period.    
     
     
         24 . A method according to  claim 21 , further comprising: 
 defining a criteria comprising evaluation parameters for patient well being, wherein the patient indicator is determined by the processor by analyzing one or more of the collected and derived device measures against the evaluation parameters.    
     
     
         25 . A method according to  claim 21 , further comprising: 
 generating feedback selected from the group comprising an interpretive patient status, a medical diagnosis patient notification, a medical diagnosis caregiver notification, and reprogramming instructions for the implantable medical device.    
     
     
         26 . A computer-readable storage medium holding code for performing the method according to  claim 21.