Systems and methods of aggregating healthcare-related data from multiple data centers and corresponding applications

Abstract

Described herein are systems and methods for receiving healthcare data from a plurality data sources that generate and store data in various data model regimes, many of which are not standardized or are variants of a standard. The stored data may then be used to provide a plurality of customized execution environments and graphical user interfaces (GUIs) to users, based on each user's electronic healthcare records, insurance records, and wearable device data.

What is claimed is: 
     
         1 . A method for dynamically evaluating health care risk, the method being implemented by a machine executing machine-readable instructions, the method comprising:
 standardizing a set of medical records of a user into a user healthcare record, the set of medical records comprising a first set of patient records from a first source, a second set of pharmacy records from a second source different from the first source, and a third set of lab records from a third source different from the first source and different from the second source;   assigning a set of statuses to each of a set of fields in the user healthcare record, wherein a first status is associated with a first field in the user healthcare record and a second status is associated with a second field in the user healthcare record;   determining whether a gap exists in the user healthcare record;   updating the first status based on the determined gap;   determining, based on the determined gap, an action item to be performed within a predetermined time period;   determining whether the action item was performed within the predetermined time period;   updating the first status based on the determination of whether the action item was performed;   determining, based on the set of statuses, whether the user healthcare record is complete;   responsive to determining the user healthcare record is complete, applying a set of analytical models to the user healthcare record to calculate a healthcare timeline for the user; and   causing display of the healthcare timeline to the user.   
     
     
         2 . The method of  claim 1 , wherein determining whether the gap exists in the user healthcare record further comprises:
 accessing a set of scenario models that comprises, for each healthcare scenario, a set of attributes that indicate a type of potential data gap;   comparing the user healthcare record to each of the set of scenarios; and   determining whether the gap exists based on the comparison.   
     
     
         3 . The method of  claim 1 , wherein the first status can indicate one or more of: incorrect data in the first field, incomplete data in the first field, or missing data in the first field. 
     
     
         4 . The method of  claim 1 , further comprising:
 determining, based on the first status, a request related to the first status;   sending the request to be performed within a predetermined time period; and   monitoring whether the request was performed within the predetermined time period.   
     
     
         5 . The method of  claim 1 , further comprising:
 updating the user healthcare record in predetermined time intervals with updated medical records from the first source, the second source, and the third source; and   determining, based on a comparison of the updated user healthcare record with the user healthcare record, a healthcare condition of the user, where the healthcare condition of the user indicates whether a health of the user has become better, worse, or stagnant.   
     
     
         6 . The method of  claim 1 , wherein applying the set of analytical models further comprises:
 classifying the first source, second source, and third source into a set of categories;   identifying a set of relationships between the set of medical records; and   generating the healthcare timeline for the user.   
     
     
         7 . The method of  claim 1 , wherein the set of medical records further comprises a fourth set of wearable data records from a fourth source different from the first source, second source, and third source, and 
     
     
         8 . The method of  claim 7 , wherein the fourth set of wearable data records comprises information related to an environment around the user. 
     
     
         9 . The method of  claim 7 , further comprising:
 receiving a request to connect a new wearable device;   responsive to synchronizing with the new wearable device, receiving new wearable device data from the new wearable device as a fifth data source.   
     
     
         10 . A system for dynamically evaluating health care risk, the system comprising a physical processor implementing machine readable instructions that cause the system to:
 standardize a set of medical records of a user into a user healthcare record, the set of medical records comprising a first set of patient records from a first source, a second set of pharmacy records from a second source different from the first source, and a third set of lab records from a third source different from the first source and different from the second source;   assign a set of statuses to each of a set of fields in the user healthcare record, wherein a first status is associated with a first field in the user healthcare record and a second status is associated with a second field in the user healthcare record;   determine whether a gap exists in the user healthcare record;   update the first status based on the determined gap;   determine, based on the determined gap, an action item to be performed within a predetermined time period;   determine whether the action item was performed within the predetermined time period;   update the first status based on the determination of whether the action item was performed;   determine, based on the set of statuses, whether the user healthcare record is complete;   responsive to determining the user healthcare record is complete, apply a set of analytical models to the user healthcare record to calculate a healthcare timeline for the user; and   cause display of the healthcare timeline to the user.   
     
     
         11 . The system of  claim 10 , wherein determining whether the gap exists in the user healthcare record further comprises:
 accessing a set of scenario models that comprises, for each healthcare scenario, a set of attributes that indicate a type of potential data gap;   comparing the user healthcare record to each of the set of scenarios; and   determining whether the gap exists based on the comparison.   
     
     
         12 . The system of  claim 10 , wherein the physical processor implements machine readable instructions that cause the system to:
 determine, based on the first status, a request related to the first status;   send the request to be performed within a predetermined time period; and   monitor whether the request was performed within the predetermined time period.   
     
     
         13 . The system of  claim 10 , wherein the physical processor implements machine readable instructions that cause the system to:
 update the user healthcare record in predetermined time intervals with updated medical records from the first source, the second source, and the third source; and   determine, based on a comparison of the updated user healthcare record with the user healthcare record, a healthcare condition of the user, where the healthcare condition of the user indicates whether a health of the user has become better, worse, or stagnant.   
     
     
         14 . The system of  claim 10 , wherein applying the set of analytical models further comprises:
 classifying the first source, second source, and third source into a set of categories;   identifying a set of relationships between the set of medical records; and   generating the healthcare timeline for the user.   
     
     
         15 . The system of  claim 10 , wherein the set of medical records further comprises a fourth set of wearable data records from a fourth source different from the first source, second source, and third source, and wherein the fourth set of wearable data records comprises information related to an environment around the user. 
     
     
         16 . A non-transitory machine-readable storage medium comprising instructions executable by a physical processor of a computing device for dynamically evaluating health care risk, the machine-readable storage medium comprising:
 instructions to standardize a set of medical records of a user into a user healthcare record, the set of medical records comprising a first set of patient records from a first source, a second set of pharmacy records from a second source different from the first source, and a third set of lab records from a third source different from the first source and different from the second source;   instructions to assign a set of statuses to each of a set of fields in the user healthcare record, wherein a first status is associated with a first field in the user healthcare record and a second status is associated with a second field in the user healthcare record;   instructions to determine whether a gap exists in the user healthcare record;   instructions to update the first status based on the determined gap;   instructions to determine, based on the determined gap, an action item to be performed within a predetermined time period;   instructions to determine whether the action item was performed within the predetermined time period;   instructions to update the first status based on the determination of whether the action item was performed;   instructions to determine, based on the set of statuses, whether the user healthcare record is complete;   instructions to, responsive to determining the user healthcare record is complete, apply a set of analytical models to the user healthcare record to calculate a healthcare timeline for the user; and   instructions to cause display of the healthcare timeline to the user.   
     
     
         17 . The storage medium of  claim 16 , wherein the instructions to determine whether the gap exists in the user healthcare record further comprise:
 instructions to access a set of scenario models that comprises, for each healthcare scenario, a set of attributes that indicate a type of potential data gap;   instructions to compare the user healthcare record to each of the set of scenarios; and   instructions to determine whether the gap exists based on the comparison.   
     
     
         18 . The storage medium of  claim 16 , further comprising:
 instructions to determine, based on the first status, a request related to the first status;   instructions to send the request to be performed within a predetermined time period; and   instructions to monitor whether the request was performed within the predetermined time period.   
     
     
         19 . The storage medium of  claim 16 , further comprising:
 instructions to update the user healthcare record in predetermined time intervals with updated medical records from the first source, the second source, and the third source; and   instructions to determine, based on a comparison of the updated user healthcare record with the user healthcare record, a healthcare condition of the user, where the healthcare condition of the user indicates whether a health of the user has become better, worse, or stagnant.   
     
     
         20 . The storage medium of  claim 16 , wherein the instructions to apply the set of analytical models further comprise:
 instructions to classify the first source, second source, and third source into a set of categories;   instructions to identify a set of relationships between the set of medical records; and   instructions to generate the healthcare timeline for the user.