Data Characteristics
Medical insurance settlement regulations primarily originate from official government documents. These include national, provincial, and municipal medical insurance policies, implementation rules, reimbursement catalogs, and coding standards for drugs and services. Documents are typically in PDF, Word, or loosely structured web page formats. National policies may be revised or supplemented annually, while local policies might adjust quarterly or semi-annually based on practical needs. Document structures often contain numerous clauses, attachments, tables, and diagrams. The text is rigorous and dense with specialized terminology. Fields include disease diagnosis codes (ICD), surgical procedure codes (ICD-9-CM-3/ICD-10-PCS), generic drug names, medical service item names, payment ratios, deductibles, and caps. Units cover amounts (yuan), percentages (%), and time (days, months).
Constraints Imposed by These Characteristics on Document Parsing and Chunking
The specialized nature, update frequency, and complex structure of medical insurance settlement documents impose specific requirements on document parsing and chunking. The specialized terminology and coding systems demand that the parser accurately identify and preserve their integrity, preventing critical information from being split by excessive chunking. Frequent policy updates mean the knowledge base requires rapid synchronization, necessitating efficient and stable parsing processes. Common clauses, attachments, and tables, especially multi-nested tables, challenge text extraction and structured processing. For example, a single table might contain service items, payment scope, reimbursement ratios, and remarks. Chunking must ensure these associated pieces of information remain together to maintain contextual coherence. Unit precision is crucial in medical insurance settlements; parsing must correctly associate values with units to avoid misinterpretation.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
Chunk size (Chunk Length) | 800–1200 characters | Medical insurance clauses are typically long. This maintains contextual coherence and prevents critical information from being split. |
Overlap Length | 80–120 characters | Ensures sufficient overlap between adjacent chunks, connecting context and aiding semantic understanding. |
Parsing Mode | Smart Chunking | Adapts to complex document structures, especially tables and multi-level headings, attempting to preserve semantic integrity. |
HTML Parser | readability | Better handles web-based medical insurance policies, removing navigation, advertisements, and other non-content elements. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large medical insurance policy files can take a long time to parse. This provides sufficient time to avoid timeout failures. |
Max File Size | 100 MB | Accommodates some medical insurance files that may contain many images or scanned documents, resulting in larger file sizes. |
Three Common Mistakes
- Symptom: After uploading a document, some table content is parsed as empty or incomplete. Reason: The default parser has limited ability to extract complex or nested table structures, failing to correctly identify table boundaries and cell content.
- Symptom: System logs show
slow operation xxxxms, and file parsing makes no progress for a long time. Reason: The file size is too large or the content is too complex, causing parsing time to exceed the default timeout limit, leading to task stagnation. - Symptom: The Q&A results regarding reimbursement ratios for specific medical service items are inaccurate, lacking key numerical values. Reason: The chunking strategy is too aggressive, separating the reimbursement ratio value from its corresponding service item description, payment conditions, and other critical context.
How to Verify Configuration
- Select several representative medical insurance policy documents (including tables and multi-level clauses). After uploading, check the text content of each chunk in the knowledge base to ensure table structures and key fields are fully preserved.
- Randomly select chunks from the knowledge base and check their semantic integrity. Ensure each chunk can independently express one or more complete concepts, without obvious information truncation.
- Simulate user queries. Test questions about medical insurance reimbursement processes, specific drug payment ratios, and deductibles. Evaluate the accuracy and completeness of the Q&A results, then adjust the chunk length and overlap length thresholds based on the findings.
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.