What data for this category includes
This category covers daily documents such as audit notices, inspection work papers, suspicious item lists, interview records, handling decision letters, and rectification reports. Data sources include medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. Data updates occur monthly. Core data fields include suspicious violation descriptions, involved expense identifiers, designated medical and pharmaceutical institution information, and settlement serial numbers. Common units are pieces, items, and yuan. Most documents combine structured forms and unstructured scanned files.
Constraints for HTTP interfaces and external systems
The data sources for this category are scattered, and include both structured forms and unstructured documents. HTTP interfaces must support pulling data from multiple sources and parsing mixed formats. The monthly update frequency requires that the rhythm of batch interface calls aligns with the audit cycle, to avoid excessive requests consuming system resources. Fields such as expense identifiers and institution information involve sensitive content. Interfaces must use the Authorization parameter for identity verification. The field format of returned data must match the field mapping in the local audit rule base, otherwise suspicious item matching cannot be completed. The core time-consuming links of this category rely on settlement data and documents pulled via interfaces. Interface response speed directly affects audit efficiency.
Configuration Settings
| Configuration Item | Recommended Value | Basis for Setting |
|---|---|---|
Authorization | Fixed secret key string, formatted as Bearer {audit system secret} | Meets identity verification requirements of medical insurance fund supervision systems, prevents unauthorized access |
variables | Binds time range variables for monthly audit cycles and customUid | Aligns with monthly data update rhythm, ensures pulled settlement data matches the current audit scope, and supports filtering session data by custom identifiers |
responseData | Returns only specified fields from suspicious item lists, settlement records, and institution information | Reduces invalid data transmission and improves audit processing efficiency |
| Interface call timeout period | 300-600 seconds | Covers time required to pull batch data from multiple source systems, prevents audit process interruption from timeouts |
| Batch pull quantity | First 200 items | Matches the maximum review volume for a single audit, avoids excessive data returned by interfaces |
| Context window size | 8000-16000 token | Supports multi-document parsing and rule matching needs in audit scenarios |
| Retry interval | 10-30 seconds | Adapts to rate limiting rules of supervision systems, prevents triggers for interception from frequent retries |
Three Common Configuration Mistakes
- Calling a medical insurance intelligent monitoring system interface returns a 404 status code. The cause is incorrect configuration of the
Authorizationparameter, or the secret key string format does not meet the supervision system's verification rules. - Pulled
responseDatafields do not match the local rule base, leading to failed suspicious item matching and eventual compliance risks. The cause is failure to map interface returned data according to the category's field requirements, and use of fields not intended for audit scenarios. - Batch pull operations return fewer results than expected. The cause is failure to set a reasonable batch pull quantity, or interface call frequency exceeding the supervision system's rate limiting rules.
How to Confirm Correct Configuration
- Use the interface debugging tool in FastGPT v4.17.0 to initiate a test call. Check if the returned
responseDataincludes fields required for audits, with no extra redundant content. - Review interface call logs to confirm the
Authorizationparameter is correctly included, with no null values or format errors. - Compare the time range of settlement data returned by the interface with local medical insurance settlement data, to confirm alignment with the monthly audit cycle.
- Simulate two consecutive failed calls, check if the automatic retry mechanism is triggered, and confirm the retry logic works.
The values given 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.