What Data for This Category Looks Like
Data sources for this category include medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. The update frequency is monthly. Documents produced and used daily include audit notices, inspection work drafts, suspicious item lists, interview records, handling decision letters, and rectification reports. Data fields cover violation type, involved expense amount, designated medical and pharmaceutical institution information, insured person identification, and more. Units are mostly RMB yuan, count, and item. Some drug and consumable traceability data includes 18-digit standard traceability codes.
What Constraints Do These Characteristics Impose on the HTTP Interfaces and External Systems Link
The monthly update frequency means interfaces do not require high-frequency requests. A reasonable request interval should be set to reduce external system load. Multiple data sources require interfaces to support connections with multiple external data sources. A unified authentication method should be configured. Diverse business document types require interface return fields to cover core content of different documents. This adapts to call requirements across the entire audit workflow. The time-consuming suspicion screening link can pull settlement data in batches via interfaces. This reduces resource usage for local data processing. Severe error consequences require interfaces to include failure retry mechanisms and detailed log records. This facilitates problem troubleshooting and responsibility tracing.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout duration | 600 seconds | Matches reasonable time required for monthly batch data pulling, aligns with interface configuration logic of FastGPT v4.17.0 |
Authorization | Bearer {custom secret} | Complies with authentication specifications of external medical insurance systems, ensures interface call security |
variables | Bind audit rule ID, designated institution scope | Adapts to dynamic parameter requirements for different audit scenarios, simplifies multi-scenario call configuration |
responseData | Only return suspicious item list, involved amount fields | Reduces invalid data transmission, improves interface call efficiency |
| Retry times | 2 times | Addresses temporary request failures caused by network fluctuations, avoids excessive calls to external systems |
| Batch pull count | First 1000 entries | Matches conventional processing scale of single audit tasks, avoids excessive data volume in a single request |
Three Common Misconfigurations
- Phenomenon: Interface calls return a "Failed to fetch" error, or the status code shows 502 or timeout. Cause: The
Authorizationparameter is not configured correctly, or the request timeout duration is set too short to accommodate monthly batch data pulling time. - Phenomenon: Binary files returned by the interface cannot be stored correctly and delivered to users, and file content is corrupted. Cause: The receiving and parsing method for file streams is not specified via the
responseDataconfiguration. Processing binary data as plain text directly causes file corruption. - Phenomenon: Fields returned after an interface call do not match the expected audit suspicious item list. Violation type or involved amount fields are missing. Cause: Correct audit rule parameters are not bound via
variables, resulting in the data range pulled by the interface not meeting the requirements of the current audit task.
How to Confirm Configuration Is Complete
- Call the test interface. Check if the returned
responseDataincludes core fields such as audit suspicious item list and involved amount. Ensure field names match requirements of business documents. - Check if the configuration format of the
Authorizationparameter complies with authentication requirements of external medical insurance systems. Enable debug logs to confirm if authentication request headers are carried correctly. - Simulate a monthly data pulling request. Verify that the request timeout duration is sufficient, and no timeout errors occur.
- Adjust parameters bound to
variables. Confirm that the data range returned by the interface changes with the parameters, meeting requirements of different audit scenarios.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.