HTTP Interface and External Systems for Clinical Trial Pre-screening in Regulatory Submissions

Clinical trial pre-screening data for regulatory submissions primarily originates from the National Medical Products Administration (NMPA) Center for

Data Characteristics for this Category

Clinical trial pre-screening data for regulatory submissions primarily originates from the National Medical Products Administration (NMPA) Center for Drug Evaluation (CDE) public database, research data management systems (EDC/CTMS) of clinical trial institutions, and various medical literature databases. Data update frequencies vary; the CDE database typically updates monthly or quarterly, while internal institutional data can change in real-time. Data document structures are complex, including unstructured clinical study protocols, subject screening logs, adverse event reports, and structured case report form (CRF) data and laboratory test results. Field types are diverse, covering patient basic information, diagnosis, medication history, genomic data, biomarkers, imaging features, and various clinical indicators. Units are highly standardized, such as mg/dL, mmol/L, ng/mL, but minor differences may exist across sources.

Constraints Imposed by these Characteristics on the HTTP Interface and External Systems

The diversity and complexity of regulatory submission data require HTTP interfaces to have robust data parsing and conversion capabilities. Unstructured documents need key information extracted via OCR or natural language processing and mapped to predefined structured fields. Varying data update frequencies dictate external system interface call strategies: for public CDE data, scheduled batch retrieval is suitable; for real-time internal institutional data, event-driven or high-frequency polling mechanisms are necessary. Field and unit standardization requires strict validation and unified processing of interface return data. For example, for HbA1c values, the system should convert to a unified representation regardless of whether the original data is a percentage or millimoles. Due to data sensitivity, secure authentication and access control for interfaces are critical, ensuring encrypted data transmission and access management.

Configuration Guidelines

Configuration ItemRecommended ValueRationale
API_ENDPOINThttps://api.cde.org.cn/trialsPoints to the CDE clinical trial information query interface, ensuring authoritative and timely data sources.
REQUEST_TIMEOUT_SECONDS60Accounts for CDE interface response speed and data volume, providing sufficient time to avoid timeouts.
MAX_RETRIES3Handles network fluctuations or temporary interface failures, improving data acquisition success rates.
AUTHENTICATION_METHODBearer TokenEnsures data transmission security and complies with industry standards.
PARSE_FILE_TIMEOUT_SECONDS180Regulatory submission documents often contain multi-page PDFs or images, requiring longer OCR and NLP processing times.
DATA_SCHEMA_VERSIONv2.1Ensures consistency in data structure definitions with external systems, preventing data parsing errors due to version mismatches.

Three Common Pitfalls

  • HTTP requests return 403 Forbidden or 401 Unauthorized errors because the Bearer Token is incorrectly configured or expired.
  • Interface calls succeed but key fields in the returned data are empty because OCR recognition or NLP extraction rules for unstructured documents do not cover all variant formats.
  • Pre-screening results do not match expectations due to incorrect date field format conversion, for example, misinterpreting DD-MM-YYYY as MM-DD-YYYY.

How to Verify Configuration

  • Use Postman or similar tools with the configured API_ENDPOINT and Bearer Token to call the interface and check if the response status code is 200 OK.
  • Select a regulatory submission document containing both structured and unstructured content, upload it to the system, and verify that the parsed data is complete and field values match the original text. Pay close attention to critical fields like patient_id and drug_name.
  • Simulate scenarios with different data update frequencies. For example, after CDE updates data monthly, check if the system synchronizes the latest clinical trial information promptly. Compare with CDE official website data to confirm that data synchronization timeliness and accuracy meet the defined thresholds.

The values provided are common starting points and should be measured against your 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.