Data Characteristics for this Category
Data for Contract Sales Organizations (CSOs) in registration and declaration document preparation originates from pharmaceutical companies. This includes R&D data, clinical trial reports, non-clinical study reports, regulatory documents from national drug agencies, guidelines, and public data on approved drugs. Data update frequencies vary. Regulatory documents and guidelines may update quarterly or annually. Internal R&D data is generated in real-time as projects progress.
Document structures are diverse, encompassing Word documents, PDF reports, Excel spreadsheets, images, scanned documents, and some structured database export files. Fields and units are highly specialized. Examples include pharmacology and toxicology data with dosage units (mg/kg), concentration units (μg/mL), pharmacokinetic parameters (Cmax, Tmax, AUC), and various indicators and statistical results from clinical trials. The data volume is large and complex, often with extensive unstructured text descriptions.
Constraints from Data Characteristics on Deployment and Upgrade
CSO registration and declaration data characteristics impose specific constraints on deployment and upgrades. The wide range of data sources and diverse formats requires robust file parsing and heterogeneous data integration capabilities during deployment. Allocate sufficient storage and computing resources for preprocessing different document types.
Regular updates to regulatory documents mean system upgrades must quickly synchronize the latest regulatory knowledge base. Ensure existing declaration document compliance validation logic remains unaffected. Highly specialized fields and units require model training and inference optimization for biomedical terminology and knowledge during upgrades. This prevents critical information loss or errors due to semantic misunderstanding.
Additionally, large volumes of unstructured text and potentially sensitive data demand high system security and data privacy protection. Upgrades must ensure continued effectiveness of data isolation and access control policies.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Registration and declaration documents often contain large clinical reports or image files. This ensures individual file uploads are not restricted. |
maxContext | 8000 tokens | Accommodates lengthy regulatory documents and research reports, retaining more context for improved understanding accuracy. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Processes complex PDF documents and scanned files, allowing sufficient time for OCR and content parsing. |
Chunk size (Segment Length) | 800–1200 characters | Balances semantic completeness and retrieval efficiency for biomedical professional text paragraph structures. |
Recall count (Recall Count) | Top 10 | Ensures retrieval of enough relevant regulations or research evidence from the knowledge base, improving answer comprehensiveness. |
Similarity threshold (Similarity Threshold) | Calibrate based on actual measurements | Adjust based on the similarity distribution of actual declaration documents and regulatory texts to avoid omissions or over-matching. |
Common Mistakes
- After an upgrade, some regulatory terms are not correctly identified or applied. This happens because the new knowledge base synchronization is incomplete, leading to a lack of the latest regulatory knowledge in the model.
- The system repeatedly times out or fails to parse certain specific formats of clinical reports. This occurs because the file parser is not adapted or optimized for such complex document structures.
- During private deployment, data migration results in data loss or field misalignment. This happens because the database migration script does not fully account for the complexity and relationships of biomedical data.
Confirmation of Correct Configuration
- Select recently updated regulatory documents. Conduct Q&A tests through the system. Verify if the results include the latest terms and their interpretations.
- Upload a clinical trial report containing complex tables and charts. Check if the system can accurately extract key values and conclusions.
- Simulate a complete declaration document preparation process. Validate if the system-generated document drafts meet predefined formats and professional requirements.
Note: The values provided are common starting points. Measure them 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.