Policy and Regulatory Basis Q&A for Medical Insurance Fund Supervision Audit: Citation Sources and Traceability

Policy and Regulatory Basis Q&A for Medical Insurance Fund Supervision Audit: Citation Sources and Traceability

What This Category of Data Looks Like

This category of data mainly comes from the medical insurance intelligent monitoring system, fund supervision rule base, medical insurance settlement data, drug and consumable traceability codes, and report clues. Daily processed documents include audit notices, inspection work papers, suspicious item lists, interview records, handling decision documents, and rectification reports. Data update frequency is once per month. Core fields involve violation types, involved amounts, supervision rule clauses, and designated medical institutions information. There is no unified fixed unit; values adjust based on specific document scenarios.

Scattered data sources cover multiple categories including systems, rules, and settlement data. This requires the citation traceability process to accurately associate metadata from corresponding data sources, avoiding confusion across sources. The monthly update rhythm requires traceability to adapt to low-frequency knowledge base synchronization mechanisms, reducing unnecessary full refresh overhead. Document types include formal law enforcement documents and list materials. This requires traceability to retain unique document identifiers and version information. Core fields have no unified unit. This requires specifying the source document type corresponding to each field in traceability configuration, preventing matching errors. At the same time, the consequences of errors in audit scenarios are directly linked to fund losses. This requires the accuracy of the traceability link to meet regulatory requirements, constraining the rigor of configuration.

How to Configure Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended ApproachRationale
Traceability detailsFormat: document type, unique identifier, quoted content, and update-time fields. Includes audit-related rule clauses and settlement data identifiersAdapts to the multi-type identification requirements of audit documents, ensuring that specific law enforcement documents or data records can be quickly located during traceability
Traceability details PromptAnswer only based on medical insurance supervision-related content retrieved from the knowledge base. When citing, mark the document type, unique identifier, and update time of the source document. Do not fabricate content that has not been retrievedClarifies the compliance boundary of responses, meets traceability requirements in medical insurance fund supervision scenarios, and avoids generating unsubstantiated supervision conclusions
quoteMaxToken800–1200 tokenCovers core content such as audit-related policy clauses and settlement data fragments, avoiding truncation of key supervision basis
Single Search LimitTop 6 resultsBalances retrieval accuracy and response speed, covering relevant rules and data records in most audit scenarios
detailEnabledReturns complete retrieved original text fragments and metadata, ensuring that complete document identifiers and version information can be obtained during traceability
responseDataIncludes document type, unique identifier, and update time fieldsBinds retrieved document metadata with original text fragments, facilitating subsequent traceability verification and compliance review

Three Common Configuration Errors

  • Phenomenon: Citation source document information is not displayed in responses, or citation format does not meet preset requirements. Cause: The division of labor between the citation content template and citation template prompt is confused. The former is used to format retrieved content, while the latter is used to constrain citation rules for responses.
  • Phenomenon: No optional values appear in the variable reference dropdown of the knowledge base search node, making it impossible to associate specific audit data batches or rule versions. Cause: Corresponding variables are not configured in advance in global variables or process nodes, or variables are not correctly bound to the input parameters of the search node.
  • Phenomenon: A Cannot redefine property: toString at Object.defineProperty error appears in the online deployment environment. Cause: A custom script or node configuration repeatedly defines the toString property, causing conflicts with built-in FastGPT object properties.

How to Verify Successful Configuration

  • Submit a test question related to medical insurance fund supervision. Check the citation information at the end of the response to confirm whether it includes document type, unique identifier, and update time.
  • Enter the configuration interface of the knowledge base search node, check whether the optional values of variable references include preset audit scenario parameters, and confirm that variables are correctly bound.
  • View system operation logs to confirm that no Cannot redefine property: toString related errors appear, verifying that custom configuration does not trigger property conflicts.
  • Randomly retrieve an uploaded audit document, verify that the retrieval result can associate the document's metadata and original text fragments.

The values provided here are common starting points, and should be evaluated against the reader's 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 2026-09-28.