PATIENT PRIVACY COMPLIANT TARGETING SYSTEM AND METHOD

1 . A computer-implemented method comprising:

receiving data from a plurality of databases;

integrating the data into a computing system;

applying a machine learning system to identify patients from the integrated data to place in one or more communities, wherein the one or more communities include consumer-related data and social determinants of health data;

combining path projection, aggregation, and embedding to establish one or more paths to connect the patients to the one or more communities based on the consumer-related data and/or the social determinants of health data in the communities; and

training the machine learning system to identify a correct path among the one or more established paths to place the patients on to be connected to the one or more communities.

2 . The method of claim 1 , further comprising:

creating one or more algorithms to project the patients into the communities that include the social determinants of health data.

3 . The method of claim 1 , further comprising:

identifying information among physician network communities within the integrated data to further identify the one or more communities in which to place the patients.

4 . The method of claim 1 , further comprising:

identifying environmental information from the social determinants of health data to further identify the one or more communities in which to place the patients.

5 . The method of claim 1 , further comprising:

applying one or more algorithms to identify an economic status of at least one of the identified patients.

6 . The method of claim 1 , further comprising:

de-identifying the consumer data and social determinants of health data.

7 . The method of claim 1 , further comprising:

applying one or more algorithms to enable the patients to interact with healthcare facilities within the communities.

8 . A computer program product comprising a tangible storage medium encoded with processor-readable instructions that, when executed by one or more processors, enable the computer program product to:

receive data from a plurality of databases;

integrate the data into a computing system;

apply a machine learning system to identify patients from the integrated data to place in one or more communities, wherein the one or more communities include consumer-related data and/or social determinants of health data;

combine path projection, aggregation, and embedding to establish one or more paths to connect the patients to the one or more communities based on the consumer-related data and the social determinants of health data in the communities; and

train the machine learning system to identify a correct path among the one or more established paths to place the patients on to be connected to the communities.

9 . The computer program product of claim 8 , wherein data from physician networks within the communities is collected to further identify the one or more communities with which to place at least one or more of the patients.

10 . The computer program product of claim 8 , wherein one or more algorithms are used to place the patients in the one or more communities that include social determinants of health data.

11 . The computer program product of claim 8 , wherein a social or economic status of at least one or more of the patients is identified in order to determine which of the communities that the at least one or patients should be placed within.

12 . The computer program product of claim 8 , wherein similar attributes between the patients are identified.

13 . The computer program product of claim 8 , wherein the social determinants of health data include employment information within the communities.

14 . The computer program product of claim 8 , wherein social status among the communities is identified.

15 . A system comprising:

a memory configured to store instructions;

one or more processors configured to execute the instructions to perform operations to:

receive data from a plurality of databases;

integrate the data into a computing system;

apply a machine learning system to identify patients from the integrated data to place in one or more communities, wherein the one or more communities include consumer-related data and social determinants of health data;

combine path projection, aggregation, and embedding to establish one or more paths to connect the patients to the one or more communities based on the consumer-related data and/or the social determinants of health data in the communities; and

train the machine learning system to identify a correct path among the one or more established paths to place the patients on to be connected to the communities.

16 . The system of claim 15 , wherein the machine learning system is trained to predict the one or more communities to place one or more of the patients.

17 . The system of claim 15 , wherein the social determinants of health data include environmental conditions within the one or more communities.

18 . The system of claim 15 , wherein a geographical topology is identified to enable the patients to be placed within the one or more of the communities.

19 . The system of claim 15 , wherein one or more referral networks are identified within the one or more communities.

20 . The system of claim 15 , wherein sociometric ties of the patients to the one or more communities are identified.