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1. Technical Specification 2. Conformance Testing 3. Performance Assessment

1. Technical Specifications

This page gives the links to the specification of Data Types specified by Technical Specification: AI for Health (MPAI-AIH) – Health Secure Platform (AIH-HSP) V1.o.

AAC Parameters AAC Token AIH Data AIH Data Access Request AIH Data MLicence
AIH Data Store Request AIM AIM Request ARA Data Audit Data
Audit Request Audit Response Biometric Data DIA Data DIA Request
ECG Object EEG Object EHR Object Health Data Licence Request
Licensing Data Medical Image Object NN Model NN Model Request Processing Request

2     Conformance testing

A Data instance of a Data Type specified by MPAI-MMC V2.3 Conforms with it if the JSON Data validate against the relevant MPAI-MMC V2.3 JSON Schema and if the Data Conforms with the relevant Data Qualifier, if present. MPAI-MMC V2.3 does not provide method for testing the Conformance of the Semantics of the Data instance to the MPAI-MMC V2.3 specification.

Conformance testing can be performed by a human using a JSON Validator to verify the Conformance of the syntax of JSON Data to the relevant JSON Schema; and, if the Data has a Qualifier, to verify that the syntax of the Data conforms with the relevant values in the Data Qualifier. Alternatively, Conformance testing can be performed by software implementing the steps above.

3     Performance Assessment

Performance is a multidimensional entity because it can have various connotations, and the Performance Assessment Specification should provide methods to measure how well an AIW performs its function, using a metric that depends on the nature of the function, such as:

  1. Quality: Performance Assessment measures the quality of the Data instance using a metric that depends on the nature of the Data, e.g., the word error rate (WER) of a string of characters representing a sentence compared to an idea sentence.
  2. Bias: Performance Assessment uses a metric that depends on the bias in the Data compared with reference Data related to certain attributes of the Data.  For instance, the Data may contain information about a particular geographic area when the ideal data do not .
  3. Legal compliance: Performance Assessment uses an appropriate metric to measure how well the Data instance complies with with a certain legal standard.

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