HTTP Interface and External Systems for GMP Compliant

Data Characteristics

GMP compliant pharmacovigilance data originates from clinical trial reports, post-market surveillance reports, adverse event reports (ADRs), and drug quality defect reports. Data updates are frequent, especially during new drug launches or severe adverse events, potentially occurring multiple times daily. Document structures typically follow ICH E2B R3 or MedDRA coding standards. Data includes patient information, drug information, event descriptions, severity assessments, and causality judgments. Key fields include case_id, patient_id, drug_name, adverse_event_term, onset_date, and seriousness_criteria. Units are often dates, text descriptions, or enumerated values. For example, onset_date is in YYYY-MM-DD format, and seriousness_criteria might include Death, Life-threatening, and Hospitalization.

Constraints Imposed by "HTTP Interface and External Systems"

High-frequency data updates require real-time and high-throughput interfaces, supporting rapid data synchronization and batch processing. Standardized document structures like ICH E2B R3 and MedDRA necessitate precise field mapping and data validation capabilities to ensure data integrity and accuracy. For instance, the adverse_event_term field must align with the MedDRA dictionary to prevent parsing errors. The textual nature of event descriptions requires interfaces to support large text fields and handle encoding issues. Data involving patient privacy and drug safety mandates strict regulatory compliance for interface security mechanisms, such as authentication and data encryption. For data transmission failures, detailed logging and retry mechanisms are essential to prevent loss of critical vigilance information.

Configuration Guidelines

Configuration Item	Suggested Value	Rationale
`request_timeout_seconds`	`300 seconds`	Accommodates large batch adverse event report uploads, ensuring complete data transmission.
`max_concurrent_requests`	`10-20`	Balances system load with real-time data processing, preventing interface overload.
`data_schema_validation_mode`	`Strict`	Ensures incoming data strictly conforms to ICH E2B R3 or MedDRA standards, preventing format errors.
`error_retry_attempts`	`3`	Provides data retransmission opportunities for temporary network fluctuations or transient external system failures.
`event_log_level`	`INFO`	Records all critical data transmission and processing events for auditing and traceability.
`payload_max_size_mb`	`20 MB`	Accommodates reports containing long text descriptions and attachments, preventing transmission failures due to excessive payload size.

Common Pitfalls

An HTTP status code of 200 is returned, but data is not fully stored. This occurs because external system processing logic is complex, and a successful synchronous response does not guarantee final data persistence.
Certain fields, such as seriousness_criteria, are empty or contain unexpected values. This happens when the interface does not strictly validate enumerated types or fails to apply necessary default values.
Interface response times are too long, leading to timeouts. This is due to excessively large data volumes in a single request or performance bottlenecks in the external system's processing logic.

Verification Steps

Simulate submitting a typical adverse event report with all core fields to verify the external system receives complete and correctly formatted data.
Check interface logs for processing records of a specific case_id to confirm the entire lifecycle from request submission to response reception is free of errors.
Submit requests containing minor data errors to verify the interface correctly returns error messages and corresponding error_code values.

The values provided are common starting points. Measure performance against your own samples to determine optimal configurations.

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.