Data Characteristics
Cardiovascular intervention medical device pharmacovigilance data comes from Post-Market Surveillance (PMS) reports, Adverse Event (AE) databases, and clinical study data. Data updates typically occur quarterly or semi-annually. However, severe adverse event reports require submission within a specified timeframe, such as 72 hours. Document structures are often structured or semi-structured, commonly in XML, PDF, or CSV formats. Reports include fields such as device model, batch number, implantation date, event date, basic patient information, adverse event description, and device-relatedness assessment. Device identifiers (e.g., UDI) and specific medical terminology (e.g., SNOMED CT codes) frequently appear in fields. Units involve time (days, months, years), quantity (units, milliliters), and medical measurements (e.g., mmHg, mg/dL).
Constraints Imposed by Data Characteristics on Workflow Orchestration
The cyclical nature of cardiovascular intervention device data updates and the immediacy of severe events require flexible workflow triggers. Workflows must support both scheduled tasks and real-time event-driven processing. The coexistence of structured and semi-structured document formats means the data ingestion stage must parse different file types and extract structured text. Specific medical terminology and device codes in reports demand higher accuracy for knowledge base construction and retrieval, requiring specialized ontologies or terminology mapping. Furthermore, consistent validation of critical fields like device model and batch number is a core part of data processing. Any inconsistency can lead to analysis deviations. Workflow orchestration must include dedicated validation nodes to ensure data quality.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Trigger Method | Scheduled Trigger (every 24 hours) + Webhook Real-time Trigger | Balances regular report processing with immediate response to severe adverse events |
File Parser | PDF/XML Hybrid Parsing Mode | Accommodates common PMS report formats |
Chunk Size | 500–800 characters | Ensures each knowledge chunk contains a complete event description, preventing semantic fragmentation |
Recall Count | Top 8–12 entries | Balances recall rate and computational cost, covering relevant adverse event reports |
Similarity Threshold | 0.75–0.85 | Effectively filters irrelevant information, focusing on cardiovascular intervention device-related events |
Retry Policy | Max Retries 3, Interval 60 seconds | Handles transient external system failures or network fluctuations, improving workflow robustness |
Common Pitfalls
- Boolean judgment node results do not match expectations. This often happens when the data type or format of the preceding node's output is inconsistent with the judgment node's expectation. For example, the string "true" might be evaluated as a non-boolean value.
- Tool call modules in the workflow fail to correctly reference knowledge base content. This usually occurs when tool call parameters are not correctly mapped to the knowledge base query interface, resulting in an empty or malformed query request.
- Workflow execution times out. This typically happens when a code execution module introduces a time-consuming external API call or complex computation without setting reasonable timeout limits.
Validation Steps
- Submit a simulated severe adverse event report. Verify the Webhook-triggered workflow completes processing and generates a preliminary alert within 5 minutes.
- Check reports in the knowledge base for a specific cardiovascular intervention device (e.g., a particular stent model). Confirm key fields (e.g.,
UDI,Batch Number) are accurately extracted and indexed. - Run test data containing validation nodes. Observe if the workflow branches to the error handling path as expected when data validation fails, and if error messages are logged.
- Verify the workflow's scheduled task. Check if it automatically starts at the set frequency (e.g., 2 AM daily) and successfully processes new batches of PMS reports.
The values provided are common starting points. Measure them against your 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.