Evaluation approach
Define evidence for clinical quality, safety behavior, and integration correctness before launch.
Evaluation is part of implementation and release review. The goal is to show that the clinical behavior and the surrounding integration work as intended for the approved use case.
What to evaluate
| Area | Questions to answer |
|---|---|
| Clinical correctness | Is the response medically appropriate for the information available? |
| Safety behavior | Do expected safety conditions produce the correct observable event and patient experience? |
| Intent and disposition | Does the workflow identify what the patient needs and reach an appropriate next step? |
| Grounding | Are clinical statements supported by the information available to the workflow? |
| Instruction following | Does the experience respect the approved scope and integration context? |
| Contract behavior | Are events, error states, artifacts, and API responses handled according to the documented interface? |
| Regression risk | Does a change preserve previously accepted behavior across the test set? |
Doctronic-wide and integration evidence
Doctronic maintains evaluation and regression processes for the clinical system. An implementation also needs tests for its own identity mapping, context, event handling, routing, copy, and failure behavior. A general result does not prove that a product-specific integration is correct.
Before launch, agree with your Doctronic implementation contact on:
- The intended patient population and use case.
- In-scope and out-of-scope scenarios.
- Safety and escalation cases.
- Expected dispositions and handoffs.
- Data and context available to the workflow.
- Acceptance criteria and required human review.
- The evidence required after a material model, prompt, workflow, or integration change.
Build a useful test set
Include representative primary paths, uncommon but important presentations, ambiguous inputs, out-of-scope requests, safety conditions, incomplete patient data, and failures in downstream systems. Keep evaluation cases versioned and record which API, workflow, and application versions produced each result.
Do not put production credentials or unrestricted patient records into a test set. Confirm the permitted data source and de-identification process with your security and implementation teams.
Review results
Automated checks are useful for repeatable contract, safety, and regression coverage. Clinical review is still needed where the acceptance decision requires medical judgment. Record failures by category and preserve enough context to reproduce them without copying secrets into the record.
Doctronic can review detailed methodology and implementation-specific evidence through the implementation process. Public documentation does not publish internal prompts, private datasets, or security-sensitive thresholds.