HTTP Interface and External Systems for Intelligent Triage

Data Characteristics in This Domain

Intelligent triage in pharmacovigilance relies on data from drug inserts, medical literature, adverse event reporting systems (e.g., FAERS, EudraVigilance), and clinical guidelines. Data update frequencies vary; drug inserts update with approvals, while adverse event systems provide continuous data streams. Document structures are primarily semi-structured and unstructured. For example, drug inserts include sections like indications, contraindications, dosage and administration, and adverse reactions. Medical literature contains abstracts, methods, results, and discussions. Common fields include generic drug name, brand name, active ingredient, adverse reaction name (MedDRA code), incidence, severity, report time, and patient characteristics. Units involve dosage (mg, g), frequency (times/day, week), and time (days, months, years).

Constraints Imposed by These Characteristics on "HTTP Interface and External Systems"

Pharmacovigilance intelligent triage data characteristics impose specific requirements on HTTP interfaces and external system integration. Semi-structured and unstructured data sources necessitate robust text parsing capabilities and adaptation to diverse data formats. For instance, retrieving data from external adverse event reporting systems may require handling JSON, XML, or CSV interface responses. The real-time nature of data updates, especially for newly reported adverse events, dictates interface call frequency and data synchronization strategies. High-frequency data sources may require scheduled tasks to call interfaces hourly or minutely. Furthermore, fields involving medical terminology and coding (e.g., MedDRA) demand interfaces that accurately transmit these standardized codes and perform mapping or conversion when necessary, ensuring internal systems correctly understand and process this information.

Configuration Guidelines

Configuration Item	Suggested Value	Rationale
`HTTP_REQUEST_TIMEOUT`	`60 seconds`	External systems may respond slowly due to large data volumes or network latency. Sufficient time prevents request timeouts.
`MAX_BODY_SIZE_MB`	`50 MB`	Adverse event reports or drug inserts can contain extensive text, requiring support for larger request bodies.
`API_KEY_HEADER_NAME`	`X-API-KEY`	External systems often use custom HTTP headers for API key authentication.
`RETRY_TIMES`	`3`	External interfaces may fail due to transient network fluctuations or service load. Appropriate retries improve stability.
`DATA_PARSE_STRATEGY`	`JSONPath expression`	Flexibly extract required fields from varying JSON structures returned by different external systems using expressions.
`MEDDRA_MAPPING_ENDPOINT`	Calibrated based on actual measurements	Requires integration with internal MedDRA coding services to ensure terminology standardization.

Three Common Mistakes

An HTTP 401 Unauthorized error from an external interface typically indicates an incorrect API_KEY_HEADER_NAME configuration or a mismatch in the API_KEY value.
Empty data fields after calling an external system mean the JSONPath expression defined in DATA_PARSE_STRATEGY does not match the actual returned JSON structure.
A Connection timed out error when requesting an external system indicates that HTTP_REQUEST_TIMEOUT is set too short, preventing the external service from completing its response.

How to Verify Configuration

Use a simulated request tool (e.g., curl) to call the configured HTTP interface and check if raw data from the external system is retrieved correctly.
Configure a test Agent within FastGPT to call the HTTP interface and verify if the returned data structure and key fields (e.g., drug name, adverse reaction description) meet expectations.
Check system logs to confirm no error reports or warning messages occur during HTTP request sending, receiving, and data parsing.
Perform an end-to-end query for a specific adverse reaction code (e.g., MedDRA 10000001) to confirm the accuracy of relevant information in the intelligent triage 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 2026-09-21.