| 1 Function | 2 Reference Model | 3 Input/Output Data |
| 4 SubAIMs | 5 JSON Metadata | 6 Profiles |
| 7 Reference Software | 8 Conformance Texting | 9 Performance Assessment |
1 Functions
The Anomaly and Risk Alerting (AIH-ARA) AIM:
| Receives | AIH Data | |
| Produces | ARA Data |
2 Reference Model
The Anomaly and Risk Alerting (AIH-ARA) AIM Reference Model is depicted in Figure 1.
Figure 1 – The Anomaly and Risk Alerting (AIH-ARA) AIM Reference Model
3 Input/Output Data
Table 1 specifies the Input and Output Data of the Anomaly and Risk Alerting (AIH-ARA) AIM. Links are to the Data Type specifications.
Table 1 – I/O Data of the Anomaly and Risk Alerting (AIH-ARA) AIM
| Input | Description |
| AIH Data | Data leaving the HFE Processing AIM because it is suspected to have an anomaly.. |
| Output | Description |
| ARA Data | Data indicating the anomaly detected by the AIH-ARA AIM. |
4 SubAIMs
No SubAIMs
5 JSON Metadata
https://schemas.mpai.community/AIH1/V1.0/AIMs/AnomalyAndRiskAlerting.json
6 Profiles
No Profiles
7 Reference Software
Under development.
8 Conformance Testing
Table 2 provides the Conformance Testing Method for Anomaly and Risk Alerting (AIH-ARA) AIM.
If a schema contains references to other schemas, conformance of data for the primary schema implies that any data referencing a secondary schema shall also validate against the relevant schema, if present and conform with the Qualifier, if present.
Table 2 – Conformance Testing Method for Anomaly and Risk Alerting (AIH-ARA) AIM
| Receives | AIH Data | Shall validate against AIH Data schema. |
| Produces | ARA Data | Shall validate against ARA Data schema. |
