What This Data Looks Like
Expense statement data originates from hospital payment receipts and medical insurance settlement documents submitted by claimants, or internal claim business systems of insurance companies. Each statement corresponds to one single claim application. It is generated synchronously when the claim is submitted, with no fixed batch update schedule. Documents use a structured table format, including fields such as treatment item name, unit price, quantity, total item price, charging date, treatment department, and medical insurance project code. Unit price and total item price use Chinese Yuan as the uniform unit. Some statements include notes indicating whether an item is covered by medical insurance.
Constraints for Model Access and Configuration
The structured table format of expense statements requires precise document segmentation and field extraction rules to avoid cross-row extraction errors. The fixed Chinese Yuan unit requires configuring unit verification logic for numerical extraction, to prevent non-standard units from interfering with amount calculations. The one statement per single claim requirement limits the maximum number of files processed per model call, to avoid mixing multiple data sets. The presence of medical insurance code fields requires dedicated classification matching rules, to ensure accurate distinction between medical insurance-covered and out-of-pocket items. The one statement generated per submission feature eliminates the need for batch processing queue rules, simplifying parameter settings for single calls.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Expense statements are typically structured tables with 10-30 rows, so parsing takes minimal time. 300 seconds covers parsing needs for unusually large files. |
UPLOAD_FILE_MAX_SIZE | 2 MB | Scanned or structured files for single expense statements are usually under 1 MB. 2 MB accommodates upload requirements for high-resolution scanned documents. |
maxContext | 800–1200 characters | Structured expense statement content does not require overly long context. This range preserves complete table structure while avoiding interference from redundant information. |
chunk_size | 500 characters | When expense statement tables have many rows, segmented parsing prevents the model from confusing cross-row content. 500 characters covers table content for 10-15 rows. |
prompt_template | Extract the treatment item name, unit price, quantity, total item price, charging date, and medical insurance code from this expense statement, and distinguish between medical insurance-covered and out-of-pocket items | Explicitly specifies required extraction fields and classification requirements to align with core information extraction needs for claim initial review. |
similarity_threshold | 0.80–0.85 | Medical insurance code fields require precise matching. This threshold range reduces false matches for unrelated codes and improves classification accuracy. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: The model returns the error
[] is too short - 'messages'during testing. Cause: The initial conversation context prompt was not configured correctly, or the input request message array was empty with no required system prompts or user query content filled in. - Issue: A 422 error is returned when initiating a claim initial review call, but the model interface test succeeds individually. Cause: The structured parsing result of the expense statement was not correctly included as a model input parameter during the call, or the parameter format did not meet interface requirements.
- Issue: Extracted expense items show cross-row misalignment or missing fields. Cause: Segmented parsing rules adapted to structured tables were not configured, causing the model to mistakenly identify cross-row table content as a single piece of information.
How to Verify Correct Configuration
- Upload a single standard-format expense statement file to trigger the model parsing and extraction process, and verify that parsed fields match the original document content.
- Initiate multiple independent test calls to confirm that each returned result has a consistent format with no missing or misaligned fields.
- Submit test cases for multiple types of expense statement formats to verify configuration compatibility with different table layouts.
- Review interface call logs to confirm that all call parameter formats meet requirements, with no 422 or other abnormal errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.