Market Measures and Outcomes for App Prescribing

Abstract

The disclosure generally describes computer-implemented methods, software, and systems for receiving and aggregating anonymized data reports about when prescribers provide wireless device applications to patients. The disclosure discusses ways of analyzing the data reports in combination with other electronic medical information to generate useful conclusions about scenarios in the health care process.

1 . A method comprising:
 identifying, by an analytics server, a first wireless device application that has been prescribed to aid in the treatment of a medical condition and configured to track physiological parameters of a first group of recipient patients;   identifying, by the analytics server, a second wireless device application that has been prescribed to aid in the treatment of the medical condition and configured to track physiological parameters of a second group of recipient patients;   decoding, by the analytics server, a set of data reports from the first and second wireless device applications, each data report encoding (i) an anonymized patient identifier that identifies a patient in the first or second group of recipient patients, and (ii) a wireless device application identifier that identifies either the first or the second wireless device application;   processing, by the analytics server, the decoded data reports to generate a first and a second data sets based, at least in part, on patient population information retrieved solely using the anonymized patient identifiers from the decoded data reports such that the first data set is associated with the first wireless device application and the second data set is associated with the second wireless device application,   wherein:
 the patient population information comprises electronic medical information associated with the first and second group of recipient patients; 
   comparing, by the analytics server, the first wireless device application with the second wireless device application in terms of an improved adherence to the regular treatment by the respective group of recipient patients who received the corresponding wireless device application and the regular treatment; and   presenting results of comparison between the first and second wireless device applications to a user investigating effects of the first and second wireless device applications.   
     
     
         2 . The method of  claim 1 , further comprising:
 in response to determining that the improved adherence to the regular treatment from the first group of recipient patients is higher than the improved adherence to the regular treatment from the second group of recipient patients, flagging the first wireless device application as improving the adherence more than the second wireless device application; and   in response to determining that the improved adherence to the regular treatment from the second group of recipient patients is higher than the improved adherence to the regular treatment from the first group of recipient patients, flagging the second wireless device application as more superior than the first wireless device application.   
     
     
         3 . The method of  claim 1 , further comprising:
 identifying, by the analytics server, a third wireless device application that has been prescribed to aid in the treatment of the medical condition and configured to track physiological parameters of a third group of recipient patients;   decoding, by the analytics server, another set of data reports from the third wireless device application, each data report encoding (i) an anonymized patient identifier that identifies a patient in the third group of recipient patients, and (ii) a wireless device application identifier that identifies the third wireless device application; and   processing, by the analytics server, the decoded data reports to further generates a third data set based, at least in part, on patient population information retrieved solely using the anonymized patient identifiers from the decoded data reports such that the third data set is associated with the third wireless device application,   wherein:
 the patient population information further comprises electronic medical information associated with the third group of recipient patients; 
   ranking, by the analytics server, the first wireless device application, the second wireless device application and the third wireless device application in terms of the the improved adherence to the regular treatment by the respective group of recipient patients who received the corresponding wireless device application and the regular treatment.   
     
     
         4 . The method of  claim 1 , wherein processing the decoded data reports to generate the first and second data sets comprises:
 processing the decoded data reports to generate the first and second data sets based, at least in part, on patient population information comprising electronic medical information from patients with comparable demographic variables.   
     
     
         5 . The method of  claim 1 , wherein comparing the first wireless device application with the second wireless device application in terms of the improved adherence to the regular treatment by the respective group of recipient patients further comprises:
 comparing the improved adherence to the regular treatment by the respective group of recipient patients during more than one contemporaneous periods after the respective group has received the corresponding wireless device application and the regular treatment.   
     
     
         6 . The method of  claim 5 , wherein presenting results of comparison between the first and second wireless device applications to a user further comprises:
 displaying the results of comparison between the first and second wireless device applications during each of the more than one contemporaneous periods after the respective group has received the corresponding wireless device application and the regular treatment.   
     
     
         7 . A method comprising:
 identifying, by an analytics server, a first wireless device application that has been prescribed to aid in the treatment of a medical condition and configured to track physiological parameters of a first group of recipient patients;   identifying, by the analytics server, a second wireless device application that has been prescribed to aid in the treatment of the medical condition and configured to track physiological parameters of a second group of recipient patients;   decoding, by the analytics server, a set of data reports from the first and second wireless device applications, each data report encoding (i) an anonymized patient identifier that identifies a patient in the first or second group of recipient patients, and (ii) a wireless device application identifier that identifies either the first or the second wireless device application;   processing, by the analytics server, the decoded data reports to generate a first and a second data sets based, at least in part, on patient population information retrieved solely using the anonymized patient identifiers from the decoded data reports such that the first data set is associated with the first wireless device application and the second data set is associated with the second wireless device application,   wherein:
 the patient population information comprises electronic medical information associated with the first and second group of recipient patients; 
   comparing, by the analytics server, the first wireless device application with the second wireless device application in terms of a number of emergency room (ER) visits by the respective group of recipient patients who received the corresponding wireless device application and the regular treatment; and   presenting results of comparison between the first and second wireless device applications to a user investigating effects of the first and second wireless device applications.   
     
     
         8 . The method of  claim 7 , further comprising:
 in response to determining that the number of ER visits by the first group of recipient patients is lower than the number of ER visits by the second group of recipient patients, flagging the first wireless device application as more superior than the second wireless device application; and   in response to determining that the number of ER visits by the second group of recipient patients is lower than the number of ER visits by the first group of recipient patients, flagging the second wireless device application as more superior than the first wireless device application.   
     
     
         9 . The method of  claim 7 , further comprising:
 identifying, by the analytics server, a third wireless device application that has been prescribed to aid in the treatment of the medical condition and configured to track physiological parameters of a third group of recipient patients;   decoding, by an analytics server, another set of data reports from the third wireless device application, each data report encoding (i) an anonymized patient identifier that identifies a patient in the third group of recipient patients, and (ii) a wireless device application identifier that identifies the third wireless device application; and   processing, by the analytics server, the decoded data reports to further generates a third data set based, at least in part, on patient population information retrieved solely using the anonymized patient identifiers from the decoded data reports such that the third data set is associated with the third wireless device application,   wherein:
 the patient population information further comprises electronic medical information associated with the third group of recipient patients; 
   ranking, by the analytics server, the first wireless device application, the second wireless device application and the third wireless device application in terms of a number of ER visits by the respective group of recipient patients who received the corresponding wireless device application and the regular treatment.   
     
     
         10 . The method of  claim 7 , wherein processing the decoded data reports to generate the first and second data sets comprises:
 processing the decoded data reports to generate the first and second data sets based, at least in part, on patient population information comprising electronic medical information from patients with comparable demographic variables.   
     
     
         11 . The method of  claim 10 , wherein presenting results of comparison between the first and second wireless device applications to a user further comprises:
 dynamically displaying the results of comparison between the first and second wireless device applications as the demographic variables are adjusted.   
     
     
         12 . The method of  claim 7 , wherein comparing the first wireless device application with the second wireless device application in terms of the number of emergency room (ER) visits by the respective group of recipient patients further comprises:
 comparing the number of emergency room (ER) visits by the respective group of recipient patients during more than one contemporaneous periods after the respective group has received the corresponding wireless device application and the regular treatment.   
     
     
         13 . The method of  claim 12 , wherein presenting results of comparison between the first and second wireless device applications to a user further comprises:
 displaying the results of comparison between the first and second wireless device applications during each of the more than one contemporaneous periods after the respective group has received the corresponding wireless device application and the regular treatment.   
     
     
         14 . A method comprising:
 identifying, by an analytics server, a first wireless device application that has been prescribed to aid in the treatment of a medical condition and configured to track physiological parameters of a first group of recipient patients;   identifying, by the analytics server, a second wireless device application that has been prescribed to aid in the treatment of the medical condition and configured to track physiological parameters of a second group of recipient patients;   decoding, by the analytics server, a set of data reports from the first and second wireless device applications, each data report encoding (i) an anonymized patient identifier that identifies a patient in the first or second group of recipient patients, and (ii) a wireless device application identifier that identifies either the first or the second wireless device application;   processing, by the analytics server, the decoded data reports to generate a first and a second data sets based, at least in part, on patient population information retrieved solely using the anonymized patient identifiers from the decoded data reports such that the first data set is associated with the first wireless device application and the second data set is associated with the second wireless device application,   wherein:
 the patient population information comprises electronic medical information associated with the first and second group of recipient patients; 
   comparing, by the analytics server, the first wireless device application with the second wireless device application in terms of a treatment cost incurred by the respective group of recipient patients who received the corresponding wireless device application and the regular treatment; and   presenting results of comparison between the first and second wireless device applications to a user investigating effects of the first and second wireless device applications.   
     
     
         15 . The method of  claim 14 , further comprising:
 in response to determining that the treatment cost incurred by the first group of recipient patients is lower than the treatment cost incurred by the second group of recipient patients, flagging the first wireless device application as more superior than the second wireless device application; and   in response to determining that the treatment cost incurred by the second group of recipient patients is lower than the treatment cost incurred by the first group of recipient patients, flagging the second wireless device application as more superior than the first wireless device application.   
     
     
         16 . The method of  claim 14 , further comprising:
 identifying, by the analytics server, a third wireless device application that has been prescribed to aid in the treatment of the medical condition and configured to track physiological parameters of a third group of recipient patients;   decoding, by an analytics server, a set of data reports from the third wireless device application, each data report encoding (i) an anonymized patient identifier that identifies a patient in the third group of recipient patients, and (ii) a wireless device application identifier that identifies the third wireless device application; and   processing, by the analytics server, the decoded data reports to further generates a third data set based, at least in part, on patient population information retrieved solely using the anonymized patient identifiers from the decoded data reports such that the third data set is associated with the third wireless device application,   wherein:
 the patient population information further comprises electronic medical information associated with the third group of recipient patients; 
   ranking, by the analytics server, the first wireless device application, the second wireless device application and the third wireless device application in terms of the treatment cost incurred by the respective group of recipient patients who received the corresponding wireless device application and the regular treatment.   
     
     
         17 . The method of  claim 14 , wherein processing the decoded data reports to generate the first and second data sets comprises:
 processing the decoded data reports to generate the first and second data sets based, at least in part, on patient population information comprising electronic medical information from patients with comparable demographic variables.   
     
     
         18 . The method of  claim 17 , wherein presenting results of comparison between the first and second wireless device applications to a user further comprises:
 dynamically displaying the results of comparison between the first and second wireless device applications as the demographic variables are adjusted.   
     
     
         19 . The method of  claim 14 , wherein comparing the first wireless device application with the second wireless device application in terms of the treatment cost incurred by the respective group of recipient patients further comprises:
 comparing the treatment cost incurred by the respective group of recipient patients during more than one contemporaneous periods after the respective group has received the corresponding wireless device application and the regular treatment.   
     
     
         20 . The method of  claim 19 , wherein presenting results of comparison between the first and second wireless device applications to a user further comprises:
 displaying the results of comparison between the first and second wireless device applications during each of the more than one contemporaneous periods after the respective group has received the corresponding wireless device application and the regular treatment.