Data Characteristics for This Category
Medical insurance access R&D documents primarily originate from policy files published by national and local medical insurance bureaus, declaration materials submitted by pharmaceutical companies, clinical trial reports, pharmacoeconomic evaluation reports, and expert review opinions. These documents update frequently, especially with new drug approvals, medical insurance catalog adjustments, and policy changes. Document structures are typically complex, containing extensive unstructured text, tables, charts, and scanned images. Key fields include generic drug name, indications, dosage form, specifications, manufacturer, registration number, medical insurance payment standard, payment scope, restrictions, clinical evidence level, pharmacoeconomic parameters (e.g., ICER, QALY), and expert review conclusions. Data units involve monetary amounts (CNY), quantities (mg, tablets), time (years, months), ratios (%), and various clinical indicator units.
Constraints Imposed by These Characteristics on "Deployment and Upgrade"
The complex structure and high update frequency of medical insurance access documents place specific demands on deployment and upgrades. The large volume of unstructured text and diverse data formats require robust document parsing capabilities and flexible extraction rule configuration to meet the structured analysis needs of different document types. High update frequency necessitates support for rapid incremental updates and version management within the knowledge base to ensure information timeliness. Sensitive information within documents, such as undisclosed review opinions or proprietary business data, imposes strict requirements on deployment environment security, access control, and data anonymization capabilities. Furthermore, specialized fields like pharmacoeconomic parameters demand high standards for model understanding and extraction accuracy, requiring attention to model fine-tuning and domain-specific vocabulary integration during deployment.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Medical insurance policy files and clinical reports often contain numerous images and charts, leading to large file sizes. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | OCR and structured parsing of complex PDFs and scanned images are time-consuming. |
Chunk size | 800–1200 characters | Ensures semantic completeness of medical insurance policy clauses and clinical trial conclusions. |
Recall count | Top 15 entries | Medical insurance access decisions typically require support from multiple policies and clinical evidence, necessitating a broader recall range. |
Similarity threshold | 0.78 | Ensures high relevance of recalled medical insurance policies and drug information, preventing misinformation. |
Medical Insurance payment standard fields | float | Ensures the medical insurance payment standard is a numerical type for subsequent calculations and analysis. |
Three Common Mistakes
- Workflow code execution component errors, displaying "Unable to load specified module": This typically results from missing specific Python dependency libraries in the local deployment environment or incorrect configuration of external OCR service interfaces.
- After uploading large PDF documents, parsing progress stalls for an extended period or fails: This is often due to the file size exceeding the
UPLOAD_FILE_MAX_SIZElimit, orPARSE_FILE_TIMEOUT_SECONDSbeing set too short, leading to parsing timeouts. - Key fields (e.g., "Medical Insurance Payment Standard") are empty or incorrectly extracted in the structured results: This usually occurs because document parsing rules are not finely tuned for specific document templates, or OCR recognition is inaccurate for numbers in tables and charts.
How to Confirm Proper Configuration
- Upload a medical insurance policy PDF file containing complex tables and specialized terminology. Check if its parsing status shows "success" and if key structured fields (e.g.,
Medical Insurance payment standard,indications) are accurately populated. - Upload and parse a clinical trial report larger than 200MB via the API. Observe if the processing time completes within the
PARSE_FILE_TIMEOUT_SECONDSsetting. - In the knowledge base, search for queries containing "达格列净" and "medical insurance payment scope". Verify that the returned document snippets are highly consistent with the relevant clauses in the original policy file and that the number of recalled items meets expectations.
- Check system logs to confirm no error logs related to "out of memory" or "unsupported file format" appear during the processing of medical insurance access documents.
Note: 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.