SYSTEM AND METHOD FOR DYNAMIC AUTONOMOUS TRANSACTIONAL IDENTITY MANAGEMENT
A dynamic and autonomous identity management system and method are disclosed that provide a means of consolidating patient identity data from disparate data sources into a single system, making patient data easily accessible in a uniform and transparent manner.
1 . An identity management system, comprising:
a computer system
a data store associated with the computer system, the data store containing a plurality of patient records, wherein each patient record contains information about a particular patient;
an identity management component hosted on the computer system;
the identity management component configured to perform an identity extraction on a piece of input data to determine if the identity of the patient is contained in the data store, an identity matching on a plurality of pieces of input data about the patient to determine if the plurality of pieces of data describe the patient contained in the data store and an identity merging for autonomous evolution of the pieces of data and merging, in the graph database, the plurality of pieces of data that describe the patient contained in the data store.
2 . The system of claim 1 , wherein the identity extraction extracts a bag of words consumer model from every transaction for each patient.
3 . The system of claim 1 , wherein the identity matching generates a unique match key for each duplicate data for the patient.
4 . The system of claim 1 , wherein the identity merging generate a similarity score for each two pieces of data about the patient.
5 . The system of claim 4 , wherein the identity merging merges the pieces of data for the patient when the similar score exceeds a matching threshold.
6 . The system of claim 4 , wherein the identity merging first merges the pieces of data for the patient with a highest score.
7 . The system of claim 1 , wherein the data store further comprises a graph database.
8 . An identity management method, comprising:
providing a computer system and a data store associated with the computer system, the data store containing a plurality of patient records, wherein each patient record contains information about a particular patient;
performing, based on the data store, an identity extraction on a piece of input data to determine if the identity of the patient is contained in the data store;
determining, if the plurality of pieces of data describe the patient contained in the data store;
autonomous evoluting of the pieces of data; and
merging, in the data store, the plurality of pieces of data that describe the patient contained in the data store.
9 . The method of claim 8 , wherein performing the identity extraction further comprises extracting a bag of words consumer model from every transaction for each patient.
10 . The method of claim 8 , wherein performing the identity matching further comprises generating a unique match key for each duplicate data for the patient.
11 . The method of claim 8 , wherein identity merging further comprises generating a similarity score for each two pieces of data about the patient.
12 . The method of claim 11 wherein identity further comprising merging the pieces of data for the patient when the similar score exceeds a matching threshold.
13 . The method of claim 11 , wherein the identity merging further comprises first merging the pieces of data for the patient with a highest score.
14 . The method of claim 8 , wherein the data store further comprises a graph database.