Data Characteristics
Phase II-III clinical trial regulatory documents originate from guidelines and regulatory files published by regulatory bodies such as the National Medical Products Administration (NMPA) and the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). They also include internal Standard Operating Procedures (SOPs) and protocols developed by sponsors. These documents are typically in PDF or Word format. Content is highly specialized, involving extensive medical terminology, statistical methods, and ethical requirements.
Regulatory files usually undergo annual revisions or updates based on industry developments. Internal SOPs are regularly reviewed and revised in response to regulatory changes and practical experience. Document structures typically include a table of contents, main body, and appendices, with strict logical relationships between sections. Common fields include trial protocol number, version number, effective date, revision history, investigator signatures, subject screening criteria, and adverse event reporting procedures. Units strictly adhere to international standards, such as mg and µg for dosage, hours and days for time, and various biomarker concentration units.
Constraints on "Reference Sourcing and Traceability"
The specialized and rigorous nature of Phase II-III clinical regulatory documents requires precise citation of original sources to support compliance decisions. The unpredictable nature of regulatory updates means the knowledge base needs efficient document update and version management capabilities to ensure timely references. Complex document structures and diverse fields demand high accuracy in text segmentation and information extraction. Incorrect citations can lead to severe compliance risks. For example, an error in citing dosage calculations or adverse event reporting procedures could directly impact trial safety and efficacy evaluations.
Therefore, the system must clearly identify the specific paragraph, page, or even clause number of a citation and trace it back to the original document's version information. For cross-referenced documents, the system must ensure the uniqueness and accuracy of citations to avoid confusion.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Segment Length) | 800–1200 characters | Ensures individual segments contain sufficient context, preventing truncation of critical information. |
Recall count (Recall Count) | Top 5–8 entries | Balances recall efficiency with relevance, covering potential citation points. |
Similarity threshold (Similarity Threshold) | 0.75–0.85 | Increases the strong correlation between recall results and regulatory content, reducing irrelevant citations. |
Rerank result count (Rerank Return Count) | Top 3 entries | Refines the final presented citations, focusing on the most relevant content. |
maxContext | 4000 tokens | Reserves sufficient space for regulatory text and questions, improving comprehension. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Handles parsing of large PDF documents, preventing timeouts. |
Common Pitfalls
- Irrelevant citations appear in conversations, or cited content does not match the original document. This occurs when the
Similarity threshold(Similarity Threshold) is set too low, recalling many low-relevance segments. It also occurs when text segmentation fails to effectively recognize document structure, leading to content misalignment. - The system fails to provide specific page numbers or section information for citations, displaying only the document name. This occurs when page and section metadata are not extracted or stored during document parsing, resulting in missing traceability information.
- When regulatory documents are updated, the system still cites old version content, leading to outdated information. This occurs when the knowledge base lacks an effective version management mechanism or when update trigger logic is incorrectly configured.
Verification of Configuration
- Ask the system typical compliance questions. Check if the returned citations accurately point to specific clauses, page numbers, or paragraphs in the original document.
- Upload a regulatory document containing known errors or ambiguous descriptions. Ask questions related to that content. Observe if the system correctly identifies and provides citations, and if it offers relevant explanations.
- Regularly update a key regulatory document. Then, ask questions involving the changes in that document. Confirm that the system cites the latest version content.
- Check the knowledge base management interface. Confirm that each regulatory document's metadata (e.g., version number, effective date) is complete and accurately indexed by the system.
The values provided are common starting points and should be measured against specific 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.