Praxis Async

Engineering design document

03 / 08
Part 03Product direction

From a single-patient assistant to an asynchronous clinical operating layer.

Praxis continuously watches patients across time, identifies meaningful changes, prioritizes attention, prepares the work and routes it to the right person—with evidence and human approval.

Not another dashboard
Not only a chatbot
Not an autonomous clinician

Shared product loop

Understand → Decide → Coordinate → Improve

01

Understand continuously

Maintain a current patient picture without waiting for the clinician to open the chart.

02

Decide what matters now

Determine what requires attention for one patient and across the entire panel.

03

Coordinate the work

Convert a useful clinical insight into owned, trackable and completed work.

04

Learn and improve safely

Improve from clinician feedback and outcomes without silently learning unsafe behavior.

One product · Three workflows

Different entry points into the same intelligence layer

01

“What should I focus on this week?”

Understand the panel → prioritize patients → explain the ranking

A focused, evidence-backed worklist

02

“Draft responses to my inbox.”

Understand the message and patient → prepare the response → request approval

Safe drafts ready for clinician review

03

“How can I improve my diabetes practice?”

Analyze decisions and outcomes → identify patterns → recommend improvements

Practice-level learning grounded in patient evidence

Product principle

One shared clinical intelligence layer, with different workflows built on top of it.