What this category of data looks like
This documentation covers FastGPT v4.17.0. Data for this category originates from the national medical security information platform, hospital HIS and medical insurance interfaces, medical insurance catalog and coding library, and cross-regional medical settlement platform. The platform updates data daily. The platform processes daily documents including medical insurance settlement lists, expense details, medical record homepages, prescriptions, rejection lists, and settlement reconciliation statements. Data fields include diagnosis and treatment item and drug consumable codes, expense amounts, insured person identity identifiers, settlement status, and other relevant items. Codes follow unified national standard formats. Amounts use Chinese yuan as the unit. Single data volumes range from tens of bytes to several megabytes.
Constraints Imposed on Deployment and Upgrade
This documentation references FastGPT v4.17.0 deployment logic. The following constraints require special attention. Daily updated data requires configuring incremental synchronization logic during deployment. This avoids excessive system resource usage from full data pulls. Multi-source heterogeneous data access requires the platform to support format verification and field mapping for different interface formats. Batch settlement data processing volume requires adjusting database connection pool configurations to support concurrent queries. The sensitivity and business relevance of medical insurance data require strict permission control during deployment. This prevents unauthorized access. Differences between this use case and fund supervision and audit operations require that upgrades do not disrupt existing medical insurance handling real-time settlement processes.
How to Set Configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
MONGODB_URI | Point to an institution-specific MongoDB instance, configure read-write separation nodes | Store mixed-structured data such as batch settlement lists and rejection lists. Read-write separation distributes query pressure |
DB_MAX_LINK | 20–30 | Match the batch processing concurrency of daily updated data, avoid connection pool overload causing synchronization failures |
REDIS_URL | Point to a dedicated cache instance, configure key expiration time as 86400 seconds | Cache daily medical insurance catalog code query results, adapt to the daily update frequency, reduce repeated interface calls |
STORAGE_S3_ENDPOINT | Point to the institution's internal object storage service endpoint | Store attachment documents such as medical record homepages and prescriptions, comply with medical data storage specifications |
ROOT_KEY | Strong encryption key generated by institution operations and maintenance | Control the platform's highest permissions, prevent unauthorized access to medical insurance sensitive data |
Three Common Misconfigurations
- Symptom: Running npm list inside the container fails to return the mongoose version. A corresponding declaration exists in package.json. Cause: FastGPT containers only install project-local dependencies. They do not configure a global npm dependency management environment. Directly running global npm commands cannot traverse the local dependency tree.
- Symptom: Medical insurance settlement data index fields fail to load after deployment via docker-compose. Cause: The deployment configuration does not include a database index initialization script. The corresponding indexes were not manually created in the instance pointed to by
MONGODB_URI. - Symptom: Timeout errors occur when calling the medical insurance consultation response interface. Cause: The
DB_MAX_LINKconfiguration was not adjusted to meet the batch processing requirements of daily updated data. Database connection pool exhaustion causes query timeouts.
How to Verify Configurations Are Correct
- Enter the project directory in the FastGPT container. Run the local npm list command. Confirm the mongoose package exists in the dependency list. This verifies that the basic dependency configuration is correct.
- Log in to the database instance pointed to by
MONGODB_URI. Check whether corresponding indexes exist for settlement lists and rejection lists. This verifies that the data index configuration is effective. - Initiate a simulated medical insurance expense settlement consultation query. Confirm the interface return results include correct diagnosis and treatment item code matching information. This verifies that the data access and field mapping configuration is correct.
- View the cache instance monitoring panel corresponding to
REDIS_URL. Confirm there are cache hit records for daily medical insurance catalog codes. This verifies that the cache configuration is effective.
The values provided are common starting points, and should be evaluated against the samples of the respective deployment environment.
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.