1. Functions 2. Reference Model 3. Input/Output Data
4. Functions of AI Modules 5. Input/output Data of AI Modules 6. AIW, AIMs, and JSON Metadata

1. Functions

The Back End gathers AIH Data from End Users and acts as both a brokerage gateway between the entities requesting access to the AIH Data and those providing it. The Back End grants Rights without referring to the identity of the End Users who have provided the Health Data as long as Health Data is licensed by Smart Contracts registered on the Block Chain.

The Back End implements the following functionalities:

  1. Securely store, de-identify and anonymise Health Data.
  2. Authentication and access control to Health Data.
  3. Receive and store licensed Health Data.
  4. License access to Health Data.
  5. Receive requests and process Health Data through the AI Framework.
  6. Perform Federated Learning services to update Font-Ends.
  7. Upload and download AIMs from the MPAI Store.
  8. Communicates with the Blockchain.

2. Reference Model

Figure 1 depicts the Reference Architecture of the Health Back End (AIH-HBE).

Figure 1 – Reference Model of the Health Back End (AIH-HBE) AIW

This is the flow of operation of the Health Back End (AIH-GBE) AIW Reference Model:

  1. A User wishing to access the Back End, provides Authentication and Access Control Parametres to Authentication and Access Control (MPAI-AAC) AIM.
  2. If Authentication is successful, MPAI-AAC AIM issues a Token. The following steps of Health Back End access assume that a User holds a Token.
  3. User uploads Health Data with Model Licence.
    1. Health Data is received by the Data Storage and Access (AIH-DSA) and stored to the Secure Storage.
    2. The Model Licence is converted to a JSON format and stored in the Block Chain as a Smart Contract.
  4. A User may make a De-Identification and Anonymisation Request to the De-Identification and Anonymisation (AIH-DIA) AIM:
    1. AIH-DIA AIM retrieves Health Data from Secure Storage.
    2. De-identifies and anonymises Health Data.
    3. Stores DI&A’d Health Data back to Secure Storage.
  5. A User may make a Health Data Processing Request to the Health Data Processing (AIH-HDP) AIM:
    1. AIF Controller may download appropriate AIM from the MPAI Store.
    2. AIH-HDP
      1. Request an appropriate Licence from the Block Chain.
      2. Retrieves Health Data from Secure Storage.
      3. Performs requested processing.
      4. Stores processed Health Data to Secure Storage.
      5. Outputs processed Health Data.
  6. A User may make an Audit Request to the Audit (AIH-ADT) AIM providing Audit Data, the AIH-ADT  AIM
    1. Requests AIH Data Statistics and Queries to the Block Chain.
    2. Provides Audit Response.
  7. When Federated Learning process begins:
    1. Health Back End requests the NN Model to a Health Front Ends.
    2. Health Front Ends provide the NN Models.
    3. Health Back End
      1. develops and upload to the MPAI Store the new NN Model.
      2. Informs the Health Front Ends.
    4.  Front Ends download the new NN Model from the MPAI Store.

3. Input/Output Data

Table 1 specifies the Input and Output Data.

Table 1 – I/O Data of Health Back End

Input Description
AAC Parameters Parameters provided by User to the Authentication & Access Control AIM.
AIH Data Access Request User’s request to Upload or Access AIH Data.
AIH Data Store Request End User’s request to Upload or Access AIH Data.
AIH Data Health Data provided by User’s Front End.
AIH Data MLicence Data describing the lEnd User’s Licence terms and conditions.
DIA Request Request to de-identify and anonymised AIH Data.
Processing Request Request to process AIH Data.
ARA Data Anomaly & Risk Data
Audit Request Audit Request made by End User.
Audit Data Data required by the Audit AIM.
NN Model NN Model provided by Front End.
Output Description
AAC Token Token provided by Authentication & Access Control AIM if process was successful.
Licence Request Request to Blockchain to create or obtain Licence
AIH Data MLicence Licence represented according to Licence JSON Schema.
DIA Data Data that has been de-identified and anonymised.
Licence Request Request made to Block Chain to enable AIH Data Processing.
AIH Data AIH Data that have been processed.
Audit Response Response containing Audit results.
NN Model NN Model provided by Federated Learning.
NN Model Request Request made to Front End by Back End for Federated Learning.

4. Functions of AI Modules

Table 2 specifies the Function of the AI Modules.

Table 2 – Functions of Health Back End AI Modules

AI Module Description
Authentication and Access Control Produces Token to User who have successfully passed the process.
Data Storage and Access Manages AIH Data upload and subsequent Access.
Licensing and Governance Manages licensing request to Blockchain to store and create Licence.
De-Identification and Anonymisation De-identifies and anonymises AIH Data.
HBE Data Processing Processes AIH Data
Auditing Enables End User to monitor the use of their AIH Data.
Health Federated Learning Performs Federated Learning of Front Ends’ NN Model.

5. Input/output Data of AI Modules

Table 3 specifies the Function of the AI Modules.

Table 3 – Functions of Health Back End AI Modules

AI Module Receives Produces
Authentication and Access Control AAC Parameters AAC Token
Data Storage and Access AIH Data Access Request
AIH Data Store Request
AIH Data		 AIH Data
Licensing and Governance AIH Data MLicence
Licence ID		 AIH Data MLicence
Licence Request
De-Identification and Anonymisation DIA Request
AIH Data		 DIA Data
HBE Data Processing Processing Request
AIH Data
ARA Data		 AIH Data
Licence ID
Auditing Audit Request
Audit Data		 Audit Response
Health Federated Learning NN Model NN Model
NN Model Request

6. AIW, AIMs, and JSON Metadata

Table 4 provides the links to the AIW and AIM specifications and to the JSON syntaxes. AIMs/1 indicates that the column contains Composite AIMs and AIMs indicates that the column contains their Basic AIMs.

Table 4 – AIW, AIMs, and JSON Metadata

AIW AIMs Name JSON
AIH-HBE Health Back End X
AIH-AAC Authentication and Access Control X
AIH-DSA Data Storage and Access X
AIH-LCG Licensing and Governance X
AIH-DIA De-Identification and Anonymisation X
AIH-BDP HBE Data Processing X
AIH-ADT Auditing X
AIH-HFL Health Federated Learning X