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Clinical Reasoning with Simulated Patients

From the first question to revising a hypothesis: make the path to a clinical decision visible.

01 / The Solution

A learner gathers information from a patient, connects it with biomedical knowledge, forms provisional explanations, and decides what evidence to seek next. Most of this happens in the head, and is hard to teach, observe, and correct.

Clinical Reasoning with Simulated Patients makes that path visible. Learners talk with a virtual patient, explore symptoms and history, decide when to request tests, then organize evidence, hypotheses, and alternatives in a reasoning map and revisit first impressions when new findings appear. An AI coach asks focused questions without giving away the answer. Educators set objectives, learner level, case data, and observation criteria; feedback on the decision path is reviewed by them.

Delivered online or in an immersive lab, individually or in small groups. Cases, difficulty, objectives by year of study, consultation format, available tests, rubrics, and feedback are configured with your faculty.

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02 / How It Works

01

Meet the patient

Speak with a simulated patient in natural language, explore symptoms and history, and decide when to request tests. The patient answers what is asked, and only that.

02

Build an explanation

Organize evidence, hypotheses, and alternatives in a reasoning map. Revisit first impressions when new findings appear; the map keeps track of what changed, and why.

03

Reflect and repeat

Receive feedback on the decision path and talk it through with a coach. Four things to observe: quality of questions and listening, use of evidence and differential diagnosis, explanation and revision of hypotheses, communication with the patient.

04

A case: Marco, 19

Fatigue and breathlessness on exertion. The learner talks with Marco, reads the clinical data, builds the reasoning map, receives feedback on the dialogue, and reflects with the coach. One of the design cases used to configure yours.

03 / Contact Us

Shall we discuss your clinical training scenario?

Let’s talk →