Data Characteristics for This Category
Data for medical insurance access clinical trial pre-screening primarily originates from publicly released policy documents, drug catalogs, payment standards, clinical guidelines, and relevant medical journal articles from national and provincial medical insurance bureaus. These documents are typically in PDF, Word, or official web page formats, with varying update frequencies. Policy documents may be released annually or quarterly, while clinical guidelines might update every few years. Document structures are complex, containing extensive unstructured text, tabular data, and medical terminology. Fields include generic drug names, indications, payment scope, restrictive conditions, reimbursement ratios, clinical evidence levels, and adverse reactions. Units are often monetary (CNY), percentages (%), time (months/years), or medical measurement units (mg, IU).
Constraints Imposed by These Characteristics on "Reference and Traceability"
The diversity of data sources and varied update frequencies for medical insurance access data require the knowledge base to flexibly handle different document formats and support version control to ensure the accuracy of references. The complex document structure means that text segmentation must prioritize the integrity of tables and key policy clauses to avoid semantic fragmentation. Cited content must precisely point to specific paragraphs or tables in the original documents to meet the high requirements for medical insurance policy interpretation and compliance. The specialized nature of medical terminology demands that during the retrieval and ranking stages, the model accurately understands the semantic relationship between user queries and document content, preventing incorrect references due to misinterpretations of terminology. Furthermore, the timeliness of policies dictates that references must be to currently effective versions; referencing outdated policies can lead to significant business risks.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
Chunk Size | 500–800 characters | Medical insurance policy documents have long paragraphs with extensive contextual information. Shorter chunks risk semantic fragmentation, while longer chunks reduce retrieval efficiency. |
Overlap Size | 100–150 characters | Ensures semantic continuity between adjacent paragraphs, providing sufficient context, especially for cross-paragraph references. |
Recall Count | Top 8 | Medical insurance policies are complex and involve multiple considerations. Increasing the recall count covers more potentially relevant information. |
Similarity Threshold | 0.78 | Ensures retrieved results are highly relevant to the query, filtering out low-quality or irrelevant policy provisions. |
Rerank Count | Top 3 | While maintaining recall breadth, reranking prioritizes the most relevant content, reducing the model's processing burden. |
Citation Style | [Source: {source_id}] | Clearly identifies citation sources, allowing users to trace back to original policy documents and meet compliance requirements. |
Three Common Pitfalls
- Missing or empty citation markers in responses: This often occurs when
Citation Styleis not correctly configured in the knowledge base, or the model fails to insert them during answer generation. - Citations pointing to incorrect or outdated files: This happens when the knowledge base lacks version control or mixes new and old policy documents during indexing, leading to references to non-current policies.
- Hallucinated citation IDs in large model outputs: This may stem from model hallucination when the knowledge base's retrieved results are insufficient to support the answer, causing the model to fabricate citation information.
How to Verify Configuration
- For typical medical insurance access queries, check if the model's output citation markers are complete and point to the correct policy document names and versions.
- Randomly select citation markers from model responses and manually verify if the cited content appears precisely at the corresponding location in the original policy document.
- By comparing new and old policy versions, confirm that the model references the latest effective policy text when policies are updated.
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.