Internal Office and Employee Services for Medical Insurance Fund Supervision and Audit: Forms and Interactions

Internal Office and Employee Services for Medical Insurance Fund Supervision and Audit: Forms and Interactions

What the data for this category looks like

This category serves medical insurance bureau fund supervision departments, medical insurance handling institutions, flight inspection teams, and designated medical and pharmaceutical institutions. Data sources include medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and report clues. The update frequency is monthly. Documents generated during daily office work cover all nodes of the audit process. These include audit notices, inspection work papers, suspicious point lists, interview records, handling decision documents, and rectification reports. Each document corresponds to business information for different links. Fields focus on audit objects, suspected violations, handling basis, and rectification requirements.

Monthly updated bulk data requires forms to support structured import and monthly synchronization configuration. The circulation of multi-type node documents requires forms to adapt to dynamic field adjustments. For example, suspicious point lists need to be associated with medical insurance settlement data fields. Handling decision documents need to match compliant clauses in the fund supervision rule base. In cross-post collaboration scenarios, forms need to support tiered permission configuration. This ensures that different posts can only view and edit fields corresponding to their respective links. The fixed format of drug and consumable traceability codes requires built-in validation rules in forms to avoid input errors.

How to set configurations

Configuration ItemRecommended ApproachBasis for This Approach
Form field groupingSplit into 6-8 groups by document type, with no more than 12 fields per groupMatch the node document structure of the audit process, avoid too many fields on a single form to affect operations
Permission control rulesDivide into 3 levels of permissions by post, only open fields that the current post needs to fill inAdapt to the tiered approval requirements of medical insurance supervision, ensure business data security
Data import formatSupport CSV format, field mapping matches standard fields of medical insurance settlement dataMatch the monthly updated bulk import requirements of settlement data, reduce manual data entry workload
Field validation logicAdd 16-character length validation for traceability code fieldsMatch the fixed format requirements of drug and consumable traceability codes, filter invalid input data
formInput configurationSet the single input limit to 800–1200 charactersAdapt to the conventional writing length of interview records and rectification reports, comply with office document specifications
userSelect configurationPreset two types of options: audit posts and designated medical and pharmaceutical institutions, support custom additionMatch the classification of typical post and service object categories, improve entry efficiency

Three common configuration errors

  • After configuring loop operations, pass the array<string> type formInput parameter. The loop body fails to traverse all elements, and only returns a single result. Cause: The loop data source is not correctly bound to the array field, so the system cannot recognize the array structure.
  • After configuring a third-party endpoint, the model selection drop-down list does not display the model corresponding to the filled baseURL. Cause: The model automatic synchronization function is not enabled, or the model format returned by the endpoint does not meet system parsing requirements.
  • After setting a prompt, the content generated by the AI conversation does not follow the prompt direction. Cause: The prompt is not associated with the current form interaction context, or the configuration location is not bound to the corresponding interaction link.

How to confirm a successful configuration

  • Import a sample document of the same type, and check whether the form automatically matches the corresponding fields.
  • Switch between preset post role accounts, and verify whether the editable fields displayed on the form conform to the post permission configuration.
  • Pass test array data, trigger loop operations, and check whether all elements are traversed as expected.
  • After configuring a third-party endpoint, manually trigger model synchronization, and check whether the drop-down list updates the corresponding model options.

The values provided are common starting points and should be evaluated against the reader's own sample data.

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

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.