1. Review flow
The product is built around the queue, not the conversation.
The main workflow starts with patient context, recent symptoms, and key metrics. From there, codeDoc returns a structured review with urgency, recommended actions, follow-up questions, escalation triggers, and outreach language.
That keeps the experience close to how care teams already work: a case comes in, someone reviews it, and the next step needs to be clear.
2. Consistency
Every result follows the same response shape.
The assessment route validates both the incoming case data and the returned review. That makes the interface more dependable because the UI always knows what fields to expect.
If the model service is unavailable, the review flow still returns a structured response instead of failing outright.
3. Clinical use
The output is written to support judgment, not replace it.
Each review is framed as support for the care team. The emphasis is on prioritization, escalation, and outreach rather than automated decision-making.
That keeps the workflow useful without pretending the product should make clinical calls on its own.
4. Input model
The strongest reviews come from combining text and metrics.
Messages, nurse notes, medication changes, schedule drift, home signals, and labs all matter. The review is stronger when those pieces are considered together rather than in separate screens.
In practice, that means one patient story and one clearer path to action.
5. Next steps
The next stage is integration, access control, and outcome tracking.
The next layer of work is straightforward: connect the workspace to source systems, add access control, persist reviews, and capture follow-through on what happened next.
That is what turns the product from a clean interface into an operational system teams can build around.