Systems and methods for human-augmented communications

1. A device for human-to-human augmentation, comprising:

at least one memory device that stores computer-executable instructions; and

at least one processor configured to access the memory device, wherein the processor is configured to execute the computer-executable instructions to:

identify, via a message identification component, at least one message associated with a message exchange platform, the message including a query from a patient;

identify genetic data associated with the patient;

determine, using an AI-based technique, one or more gene variants based on the genetic data;

determine, using the AI-based technique, one or more documents associated with the gene variants;

cause to transmit, via a communication component, information associated with at least one of the gene variants and the documents to one or more personnel users at respective user devices;

cause to transmit, via the communication component, the message to the one or more personnel users at the respective user devices using encryption in accordance with a health-based protocol;

receive, via a recommendation component, responses to the query from the respective user devices from a first personnel user, and wherein the responses comprise at least one of a user-generated response by the first personnel user and a user-augmented response by the first personnel user;

receive, via a scoring component, a user input from a second personnel user indicative of a user-assigned score for at least one of the responses received from the first personnel user;

determine, via the scoring component, respective scores based on the user input from the second personnel user; and

select, via the scoring component, at least one response to be sent to the patient having a score exceeding a predetermined threshold.

2. The device of claim 1 , wherein the responses are selected from the group consisting of a text file, an audio file, and a video file.

3. The device of claim 1 , wherein the processor is further configured to execute the computer-executable instructions to:

determine, via the recommendation component, at least one artificial intelligence (AI) based response to the query using the AI-based technique;

cause to transmit, via the communication component, the AI-based response to the personnel users at the respective user devices; and

receive, via the recommendation component, the responses to the query from the respective user devices based on the AI-based response.

4. The device of claim 3 , wherein the computer-executable instructions to determine the AI-based response further comprise computer-executable instructions to:

identify, via the message identification component, from a database of previously generated responses associated with the query, at least one previously generated response; and

input the previously generated response to the AI-based technique.

5. The device of claim 1 , wherein the computer-executable instructions to determine, via the scoring component, the respective scores of the responses comprises computer-executable instructions to:

determine respective response keywords associated with each of the responses;

identify, via the message identification component, at least one previously generated response;

determine historical keywords previously generated response;

determine a number of matches between the response keywords and the historical keywords; and

determine the respective scores of the responses based on the number of matches.

6. The device of claim 1 , wherein the computer-executable instructions to determine, via the scoring component, the respective scores of the responses comprises computer-executable instructions to:

identify entities associated with the responses; and

determine the respective scores of the responses based on the entity.

7. The device of claim 1 , wherein the computer-executable instructions to determine, via the scoring component, the respective scores of the responses comprises computer-executable instructions to:

identify, via the message identification component, previously generated responses associated with the query from a database;

identify respective previous scores associated with the previously generated responses;

train a machine learning algorithm using the previous scores and the previously generated responses; and

determine, using the trained machine learning algorithm, the respective scores of the responses.

8. The device of claim 1 , wherein the computer-executable instructions to determine, via the scoring component, the respective scores of the responses comprises computer-executable instructions to:

receive a user input indicative of a user-assigned score for at least one of the responses; and

determine the respective scores based on the user input.

9. The device of claim 1 , wherein the processor is further configured to execute the computer-executable instructions to cause to present the selected response via a chat application at a user device.

10. The device of claim 9 , wherein the chat application comprises a graphical user interface (GUI) including a first interaction area for a first user of the one or more personnel users to input communications and a second interaction area for a second user of the one or more personnel users to input different communications.

11. The device of claim 1 , wherein the processor is further configured to execute the computer-executable instructions to:

receive at least one media file of a user of the one or more personnel users, the media including an audio of the user's voice;

training a machine learning algorithm to mimic the user's voice using the media file; and

generating an additional media file of the user, the additional media file including an additional audio of the user's voice presenting the response.

12. The device of claim 1 , wherein the processor is further configured to execute the computer-executable instructions to:

transcribe audio from a conversation between at least two users of the one or more personnel users;

determine, via the recommendation component, at least one suggested information based on the transcribed audio using an AI-based technique; and

cause to transmit, via the communication component, the suggested information to the personnel users at the respective user devices.

13. A system for human-to-human augmentation, comprising:

at least one memory device that stores computer-executable instructions; and

at least one processor configured to access the memory device, wherein the processor is configured to execute the computer-executable instructions to:

identify, via a message identification component, at least one message associated with a message exchange platform, the message including a query from a patient;

identify genetic data associated with the patient;

determine, using an AI-based technique, one or more gene variants based on the genetic data;

determine, using the AI-based technique, one or more documents associated with the gene variants;

cause to transmit, via a communication component, information associated with at least one of the gene variants and the documents to one or more personnel users at respective user devices;

cause to transmit, via the communication component, the message to the one or more personnel users at the respective user devices using encryption in accordance with a health-based protocol;

receive, via a recommendation component, responses to the query from the respective user devices from a first personnel user, and wherein the responses comprise at least one of a user-generated response by the first personnel user and a user-augmented response by the first personnel user;

receive, via a scoring component, a user input from a second personnel user indicative of a user-assigned score for at least one of the responses received from the first personnel user;

determine, via the scoring component, respective scores based on the user input from the second personnel user; and

select, via the scoring component, at least one response to be sent to the patient having a score exceeding a predetermined threshold.

14. The system of claim 13 , wherein the processor is further configured to execute the computer-executable instructions to:

determine, via the recommendation component, at least one artificial intelligence (AI) based response to the query using the AI-based technique;

cause to transmit, via the communication component, the AI-based response to the personnel users at the respective user devices; and

receive, via the recommendation component, the responses to the query from the respective user devices based on the AI-based response.

15. The system of claim 14 , wherein the computer-executable instructions to determine the AI-based response further comprise computer-executable instructions to:

identify, via the message identification component, from a database of previously generated responses associated with the query, at least one previously generated response; and

input the previously generated response to the AI-based technique.

16. The system of claim 13 , wherein the computer-executable instructions to determine, via the scoring component, the respective scores of the responses comprises computer-executable instructions to:

determine respective response keywords associated with each of the responses;

identify, via the message identification component, at least one previously generated response;

determine historical keywords previously generated response;

determine a number of matches between the response keywords and the historical keywords; and

determine the respective scores of the responses based on the number of matches.

17. A computer-implemented method for human-to-human augmentation, comprising:

identifying, via a message identification component, at least one message associated with a message exchange platform, the message including a query from a patient;

identifying genetic data associated with the patient determining, using an AI-based technique, one or more gene variants based on the genetic data;

determining, using the AI-based technique, one or more documents associated with the gene variants;

transmitting, via a communication component, information associated with at least one of the gene variants and the documents to one or more personnel users at respective user devices;

transmitting, via the communication component, the message to the one or more personnel users at the respective user devices using encryption in accordance with a health-based protocol;

receiving, via a recommendation component, responses to the query from the respective user devices from a first personnel user, and wherein the responses comprise at least one of a user-generated response by the first personnel user and a user-augmented response by the first personnel user;

receive, via a scoring component, a user input from a second personnel user indicative of a user-assigned score for at least one of the responses received from the first personnel user;

determine, via the scoring component, respective scores based on the user input from the second personnel user; and

select, via the scoring component, at least one response to be sent to the patient having a score exceeding a predetermined threshold.

18. The computer-implemented method of claim 17 , further comprising:

determining, via the recommendation component, at least one artificial intelligence (AI) based response to the query using the AI-based technique;

transmitting, via the communication component, the AI-based response to the personnel users at the respective user devices; and

receiving, via the recommendation component, the responses to the query from the respective user devices based on the AI-based response.

19. The computer-implemented method of claim 17 , further comprising:

identifying, via the message identification component, from a database of previously generated responses associated with the query, at least one previously generated response; and

inputting the previously generated response to the AI-based technique.