AI · DxR Harmony · Featured · PBL · Campaign
Most scoring tools can tell you a student arrived at the right diagnosis. Fewer can tell you how.
Did they gather the right information, form a sound hypothesis, and revise it when the picture changed? Or did they guess, get lucky, and look competent on paper?
That difference is what Harmony AI is built to show.
Assessment that informs
If you already use problem-based learning, you know the case is only half the work. The other half is seeing the thinking. Harmony AI surfaces the path a learner took — the questions they asked, the decisions they made, and where reasoning held up or drifted — so faculty are not grading an ending. They are reading a clinical mind at work.
Feedback that transforms
When you can see why a student succeeded or stalled, feedback stops being a score and becomes a teaching moment. Harmony AI helps faculty intervene with purpose: the right comment, at the right time, while the case is still alive in the student’s memory.
The insight that matters
Harmony AI answers a question that multiple-choice items and scripted simulations cannot:
Does this student know what they are doing, or did they just get lucky?
That is the insight that protects patients. It is also the insight that makes faculty time count.
This is the first in a series on what Harmony AI actually gives programs — the outcomes faculty can see, not the methodology acronyms. Later posts will go deeper on the moments educators told us they needed to see.
Learn more at dxrharmony.ai or contact us to see it with your own cases.