Data Characteristics for This Category
Market access clinical trial pre-screening data primarily originates from official documents published by national drug regulatory agencies (e.g., FDA, EMA, NMPA review guidelines, regulations), industry association standards, public versions of Clinical Trial Applications (CTAs) and Marketing Authorization Applications (MAAs) submitted by pharmaceutical companies, and specialized databases (e.g., ClinicalTrials.gov, WHO ICTRP). Data update frequencies vary; regulatory documents may be updated annually or with policy changes, while clinical trial registration information can update weekly or even daily. Document structures are predominantly semi-structured or unstructured text, such as PDF regulatory files, Word guidelines, and web-based database records. Fields include drug name, indication, trial phase, primary endpoint, secondary endpoint, subject inclusion criteria, exclusion criteria, and statistical methods. Units typically involve medical measurements, time periods, or percentages.
Constraints Imposed by These Characteristics on "Reference and Traceability"
The diversity and update frequency of market access clinical trial pre-screening data impose specific requirements on reference and traceability. Regulatory documents are core evidence, making version management and precise citation critical. For example, the same regulation may have revisions in different years, requiring explicit version numbers when cited. The dynamic updates of clinical trial registration information necessitate a traceability system capable of tracking data snapshots at specific query times to avoid decision bias from outdated information. Citing unstructured documents requires the system to accurately extract reference snippets from long texts and link them to original document page numbers or paragraph identifiers. Furthermore, differing field names and units across data sources can impact unified knowledge base management and retrieval efficiency, posing challenges to citation accuracy. Therefore, when configuring reference and traceability features, focus on version control, timestamp association, and semantic segmentation and localization of unstructured text.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 800–1200 characters | Ensures completeness of regulatory provisions or key clinical trial descriptions, avoiding truncation of critical information. |
Recall count (Recall Count) | Top 5 | Balances accuracy and response speed, covering core relevant regulations or trial records. |
Similarity threshold (Similarity Threshold) | Calibrated by measurement (between 0.7–0.85) | Balances recall and precision, filtering out irrelevant regulations or trial information. |
Chunk size (Segment Length) | 300–500 words | Adapts to paragraph lengths in regulatory documents and clinical trial protocols, ensuring semantic integrity. |
Rerank result count (Reranked Return Count) | 3 | Further refines results, ensuring the most relevant references appear prominently. |
Citation source display format (Reference Display Format) | Title + Document Link + Page/Paragraph | Allows users to quickly locate original files, improving credibility and traceability efficiency. |
Three Common Mistakes
- The chat response fails to display specific knowledge base citations, preventing users from verifying information accuracy. This often occurs when citation information returned by the workflow tool is not correctly configured or when relevant fields are filtered out during front-end display.
- Cited content contains significant repetition or irrelevant information, degrading user experience. This may be due to a
Similarity threshold(Similarity Threshold) set too low, recalling too many irrelevant document snippets, or an unreasonableChunk size(Segment Length) leading to semantically disconnected text blocks. - Regulatory citations show version confusion, citing outdated or incorrect regulatory provisions. This typically happens when the knowledge base lacks effective version management for regulatory documents or fails to distinguish between different document versions during retrieval.
How to Confirm Proper Configuration
- Query different versions of regulatory documents and verify that citations accurately point to documents with specific version numbers.
- Randomly select multiple clinical trial pre-screening questions and verify that the cited trial information in the answer matches the original database records, and check if it can be traced back to the original data via provided links or identifiers.
- Simulate user queries and check if the cited snippets displayed in the answer precisely correspond to specific page numbers or paragraphs in the original document, verifying that the cited content is complete and free of redundant information.
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.