Apparatus, system and method for rapid cohort analysis

Abstract

An apparatus, system, and method for rapid cohort analysis. In one embodiment, the apparatus includes an interface and a processor. The interface may receive an identifier of a first index attribute. The processor may search the database for a first group of records associated with the first index attribute, search the database for a second group of records, each record in the second group of records sharing a common second index attribute with a record in the first group of records, but not associated with the first index attribute, and calculate a statistic in response to information associated with the first group of records and the second group of records.

1 . (canceled) 
     
     
         2 . An apparatus, comprising:
 an interface configured to receive an identifier of a first index; and   a processor in data communication with the interface, the processor configured to:
 search the database for a first group of healthcare records associated with the first index attribute; 
 search the database for a second group of healthcare records, each healthcare record in the second group of healthcare records sharing a common second index attribute with a healthcare record in the first group of healthcare records, but not associated with the first index attribute; and 
 calculate a statistic in response to healthcare information associated with the first group of healthcare records and the second group of healthcare records, wherein the statistic comprises a probability of a similar diagnosis for a person represented by a healthcare record in the second group as a diagnosis for a person represented by a healthcare record in the first group. 
   
     
     
         3 . A system, comprising:
 a data storage device configured to store a healthcare database comprising one or more healthcare records, each healthcare record having one or more attributes; and   a server in data communication with the data storage device, configured to:
 receive an identifier of a first index attribute; 
 search the database for a first group of healthcare records associated with the first index attribute; 
 search the database for a second group of healthcare records, each healthcare record in the second group of healthcare records sharing a common second index attribute with a healthcare record in the first group of healthcare records, but not associated with the-sharing a common first index attribute; and 
 calculate a statistic in response to healthcare information associated with the first group of healthcare records and the second group of healthcare records, wherein the statistic comprises a probability of a similar diagnosis for a person represented by a healthcare record in the second group as a diagnosis for a person represented by a healthcare record in the first group. 
   
     
     
         4 . The system of  claim 3 , where the server is further configured to narrow the first group of healthcare records according to a limiting criterion. 
     
     
         5 . The system of  claim 3 , where the server is further configured to assign a first distinguishing identifier to each healthcare record in a subset of the first group of healthcare records in response to a determination that the subset of healthcare records have a common value for the second index attribute. 
     
     
         6 . The system of  claim 5 , where the server is further configured to assign a second distinguishing identifier to a healthcare record in the second group of healthcare records that corresponds to the first distinguishing identifier assigned to a healthcare record in the subset of the first group of healthcare records. 
     
     
         7 . The system of  claim 3 , where the server is further configured to count distinct healthcare records in the first group of healthcare records and the second group of healthcare records. 
     
     
         8 . The system of  claim 3 , where the server is further configured to aggregate healthcare records from the first group and from the second group according to a selected attribute. 
     
     
         9 . The system of  claim 8 , where the server is further configured to compute a probability in response to a ratio of a number of healthcare records in the first group having the selected attribute and a number of healthcare records in the second group having the selected attribute. 
     
     
         10 . A computer program product, comprising a non-transitory computer readable medium having computer usable program code executable to perform operations comprising:
 receiving an identifier of a first index attribute;   searching a database for a first group of healthcare records associated with the first index attribute;   searching the database for a second group of healthcare records, each healthcare record in the second group of healthcare records sharing a common second index attribute with a healthcare record in the first group of healthcare records, but not associated with the first index attribute; and   calculating a statistic in response to healthcare information associated with the first group of healthcare records and the second group of healthcare records, wherein the step of calculating the statistic comprises calculating a probability of a similar diagnosis for a person represented by a healthcare record in the second group as a diagnosis for a person represented by a healthcare record in the first group.   
     
     
         11 . The computer program product of  claim 10 , further comprising narrowing the first group of healthcare records according to a limiting criterion. 
     
     
         12 . The computer program product of  claim 10 , further comprising assigning a first distinguishing identifier to each healthcare record in a subset of the first group of healthcare records in response to a determination that the subset of healthcare records have a common value for the second index attribute. 
     
     
         13 . The computer program product of  claim 12 , further comprising assigning a second distinguishing identifier to a healthcare record in the second group of healthcare records that corresponds to the first distinguishing identifier assigned to a healthcare record in the subset of the first group of healthcare records. 
     
     
         14 . The computer program product of  claim 10 , wherein calculating the statistic further comprises counting distinct healthcare records in the first group of healthcare records and the second group of healthcare records. 
     
     
         15 . The computer program product of  claim 10 , wherein calculating the statistic further comprises aggregating healthcare records from the first group and from the second group according to a selected attribute. 
     
     
         16 . The computer program product of  claim 15 , wherein calculating the statistic further comprises computing a probability in response to a ratio of a number of healthcare records in the first group having the selected attribute and a number of healthcare records in the second group having the selected attribute. 
     
     
         17 . A method, comprising:
 receiving an identifier of a first index attribute;   searching a database for a first group of healthcare records associated with the first index attribute;   searching the database for a second group of healthcare records, each healthcare record in the second group of healthcare records sharing a common second index attribute with a healthcare record in the first group of healthcare records, but not associated with the first index attribute; and   calculating a statistic in response to healthcare information associated with the first group of healthcare records and the second group of healthcare records, wherein calculating a statistic comprises a probability of a similar diagnosis for a person represented by a healthcare record in the second group as a diagnosis for a person represented by a healthcare record in the first group.   
     
     
         18 . The method of  claim 17 , further comprising narrowing the first group of healthcare records according to a limiting criterion. 
     
     
         19 . The method of  claim 17 , further comprising assigning a first distinguishing identifier to each healthcare record in a subset of the first group of healthcare records in response to a determination that the subset of healthcare records have a common value for the second index attribute. 
     
     
         20 . The method of  claim 19 , further comprising assigning a second distinguishing identifier to a healthcare record in the second group of healthcare records that corresponds to the first distinguishing identifier assigned to a healthcare record in the subset of the first group of healthcare records. 
     
     
         21 . The method of  claim 17 , wherein calculating the statistic further comprises counting distinct healthcare records in the first group of healthcare records and the second group of healthcare records. 
     
     
         22 . The method of  claim 17 , wherein calculating the statistic further comprises aggregating healthcare records from the first group and from the second group according to a selected attribute. 
     
     
         23 . The method of  claim 22 , wherein calculating the statistic further comprises computing a probability in response to a ratio of a number of healthcare records in the first group having the selected attribute and a number of healthcare records in the second group having the selected attribute.