Data Characteristics for This Category
Smart triage regulation data primarily comes from internal medical institution documents. These include regulations, Standard Operating Procedures (SOPs), job descriptions, medical quality management files, and interpretations of relevant laws. These documents are typically in PDF, Word, or internal knowledge base page formats. They have a relatively low update frequency, usually quarterly or semi-annually, aligning with policy adjustments or internal process optimizations. Document structures are often hierarchical and chapter-based, containing numerous definitions, conditional statements, execution steps, and responsible parties. SOP documents focus more on detailed operational steps, often including flowcharts, form templates, and specific parameters. Fields involved include department names, disease codes (e.g., ICD-10), symptom descriptions, examination items, treatment plans, risk warnings, and processing time limits. Units may include time (minutes, hours), quantity (times, cases), and percentages.
Constraints Imposed by These Characteristics on "Workflow Orchestration"
The hierarchical structure and conditional logic of regulations and SOP documents require workflows to effectively parse and follow logical paths. This prevents inefficiency and inaccuracy from direct full-text matching. The low update frequency means model training and knowledge base synchronization do not need to be overly frequent. However, each update must cover all changes. Standardized fields like disease codes and examination items provide critical anchors for entity recognition and intent classification within the workflow. These can build more precise query and answer logic. Information such as processing time limits and risk warnings requires the workflow to extract key values and conditions. This ensures timely and accurate guidance during the triage process. Understanding flowcharts and form templates requires the workflow to convert non-textual information into structured data. This structured data can then simulate actual operational procedures.
Configuration Settings
| Configuration Item | Suggested Value | Rationale for This Value |
|---|---|---|
Chunk size (Segment Length) | 500–800 characters | Regulations and SOP documents have strong logical coherence. Longer segments help retain context, but excessive length dilutes core information. |
Recall count (Recall Count) | Top 8–12 entries | Answering regulatory questions often requires multi-faceted information. Increasing the recall count improves coverage. |
Similarity threshold (Similarity Threshold) | 0.75–0.85 | Medical regulatory questions demand high accuracy. A high threshold filters for more relevant passages, reducing misinformation. |
Rerank result count (Reranked Return Count) | Top 3–5 entries | After reranking, the most relevant few pieces of information are sufficient for most triage needs, reducing redundancy. |
Max Request Timeout | 600 seconds | Processing complex regulatory queries may involve multi-step reasoning and extensive document retrieval. Extending the timeout prevents interruptions. |
maxContext | 32000 tokens | This ensures sufficient context window to accommodate multiple regulatory snippets and conversation history when handling complex regulatory issues. |
Three Common Pitfalls
- A "Dangerous behavior" error during workflow debugging typically indicates a mismatch in input/output types for a component in the process, or an unexpected side effect during processing.
- When clicking a button to retrieve global variables in a workflow, an empty variable value may occur. This happens if the variable assignment occurs after the retrieval action, or if the variable's scope is incorrectly configured.
- Attempting to display a
base64-encoded image directly as text in a workflow results in garbled characters or an error. This is because a dedicated image decoding or rendering component was not called.
How to Verify Correct Configuration
- Simulate various questioning methods for core regulatory clauses. Check if answers accurately cite the original text and correctly interpret its meaning.
- Construct complex triage scenarios involving conditional logic. Observe if the workflow correctly navigates to relevant regulatory sections or provides logical suggestions based on user input.
- Verify the assignment and transfer of key variables in the workflow logs. Ensure expected values or states are obtained at each stage of the process.
- Confirm that when regulatory documents are updated, differences in answers between old and new versions are correctly reflected through the knowledge base synchronization function.
The values provided are common starting points and should be measured 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 2026-09-21.