What this category's data looks like
Data sources for this category include the medical insurance intelligent monitoring system, fund supervision rule base, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. Data is updated on a monthly basis. Daily business documents include audit notices, inspection work drafts, suspicious item lists, interview records, handling decisions, and rectification reports. Data fields include audit object information, suspicious details, violation basis, and other related content. Drug and consumable traceability codes are 18-digit numeric strings. All amount fields use yuan as the unit.
Constraints imposed by these characteristics on the HTTP interfaces and external systems link
The monthly updated data scale requires interfaces to adapt to batch pull scenarios, avoiding overload from single requests. Data from multiple sources requires interfaces to support filtering by parameters such as audit rules and institution codes, to accurately pull target suspicious data. The diverse types of daily documents require interfaces to support returning specified types of business documents, reducing invalid transmission. Errors in the audit process will lead to fund losses, so interfaces must have idempotence and retry mechanisms to ensure call stability.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {API key assigned by medical insurance supervision system} | Meets the identity verification requirements of external systems, ensuring interface call security |
variables | Includes audit rule code, designated medical institution identifier | Used to pass business filtering parameters, accurately pull corresponding audit suspicious data |
responseData | Only return fields related to suspicious details and violation basis | Compress transmission content, improve interface call efficiency |
| Interface timeout period | 300 seconds | Covers the typical time required to filter suspicious data from settlement data |
| Request retry count | 2 times | Respond to temporary network fluctuations, ensure call stability |
| Batch pull limit | Calibrated based on actual measurement of monthly updated dataset scale | Adapt to the monthly data update frequency of this category |
Three common configuration mistakes
- Phenomenon: A
403 Forbiddenstatus code is returned after calling the interface. Cause: TheAuthorizationparameter is not configured correctly, and an expired or unauthorized API key is used. - Phenomenon: The
responseDatafield returned by the interface contains irrelevant document content. Cause: Correct audit rules or institution codes are not specified invariables, resulting in pulling non-target data. - Phenomenon: Database permission-related errors occur after calling the interface. Cause: After restarting the external system, the database connection parameters in the interface configuration are not updated, resulting in permission verification failure.
How to confirm the configuration is complete
- After calling the FastGPT v4.17.0 interface, check whether the returned
responseDatacontains the core fields of audit suspicious items, with no irrelevant content. - Verify that the
Authorizationparameter is valid, and the interface call returns a200 OKstatus code. - Simulate a restart of the external system, then call the interface again to confirm that permission verification operates normally.
- Adjust the filtering parameters in
variables, and check whether the returned data corresponds to the filtered results.
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.