Data Characteristics
Psychiatric drug vigilance data primarily originates from national adverse drug reaction monitoring databases, clinical trial reports, real-world evidence (RWE) data, and academic literature. Data update frequency varies by source. National monitoring center data typically releases quarterly or annually. Clinical trial and RWE data update intermittently based on project progress. Document structures often include structured reports, EDC (Electronic Data Capture) system export files, or unstructured text. Key fields include general drug information, patient demographics, adverse event descriptions, and specific psychiatric symptom scales (e.g., HAM-D, PANSS scores), psychiatric diagnostic codes (e.g., ICD-10 F-chapter), treatment regimen adjustment records, and patient adherence data. Scale scores are typically integers or decimals. Dosage units are milligrams (mg) or grams (g). Time units are days, weeks, or months.
Constraints Imposed by These Characteristics on "HTTP Interface and External Systems"
The multi-source and heterogeneous nature of psychiatric drug vigilance data challenges HTTP interface design. For instance, monitoring center data may use specific XML or JSON Schemas, while clinical trial data often comes in CSV or Excel format. This requires flexible data parsing capabilities in the interface. The specific value ranges and semantics of fields like psychiatric symptom scales necessitate that the interface can recognize and process these specialized data types during validation, preventing misinterpretation or data loss. Inconsistent data update frequencies determine HTTP interface calling strategies. Some data sources require regular full or incremental synchronization, while others can be triggered on demand. Strict privacy requirements for psychiatric patients mandate HTTPS protocol use for data transmission and encryption of sensitive fields to ensure data security and compliance.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
requestTimeout | 120000 ms | Accommodates large data volumes and slow responses from external systems, preventing timeouts. |
maxRetries | 3 | Enhances request robustness against transient network fluctuations or intermittent external system failures. |
headers | Authorization: Bearer <TOKEN> | External systems typically use OAuth2 or API Key for authentication. |
payloadSchema | JSON Schema strict mode | Ensures incoming data structure and types conform to specific psychiatric field requirements. |
responseParser | custom script parsing | Processes heterogeneous response data from different sources and extracts critical drug vigilance information. |
sslVerify | true | Enforces SSL certificate validation to secure psychiatric patient data transmission. |
Common Pitfalls
- HTTP requests return "certificate verification failed" or "SSL handshake failed" errors. This indicates a failure to establish a connection. The FastGPT deployment environment typically cannot access the external system's CA certificate chain, or the external system uses a self-signed certificate not trusted in the FastGPT environment.
- Interface calls succeed, but psychiatric symptom scale fields in the returned data are empty or malformed. Logs show field parsing exceptions. This occurs when the external system's returned data format does not match expectations, or the custom parsing script fails to correctly handle the specific scale data structure for psychiatric conditions.
- Data synchronization interface calls time out. A "request timeout" error returns after a long wait. This may be due to the external system taking too long to process the request, or excessive network latency. The default HTTP request timeout setting may be insufficient for this scenario.
Verification Steps
- Simulate HTTP requests with a testing tool. Verify that drug vigilance data is retrieved correctly from the external system and that the returned status code is 200.
- Parse the returned data. Check the values, units, and formats of critical fields like psychiatric symptom scales and diagnostic codes against expected data specifications.
- Observe log output. Confirm that HTTP request timeout and retry mechanisms are applied as configured, and that SSL certificate verification is successful.
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 2026-09-21.