Healthcare  /  01

Clinical Reasoning with Simulated Patients

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

01 / The approach

A clinical case is not solved by choosing the right answer at once. Learners gather information from a patient, connect it to biomedical knowledge, form provisional explanations, and decide what evidence to seek next.

We design encounters with virtual patients followed by reasoning maps, comparison, and feedback. Educators set objectives, learner level, case data, and observation criteria; an AI coach can ask focused questions without giving away the answer.

02 / How it works

01

Meet the patient

Speak with a simulated patient, explore symptoms and history, and decide when to request tests or further information.

02

Build an explanation

Organize evidence, hypotheses, and alternatives in a reasoning map. New findings prompt a review of what first appeared plausible.

03

Reflect and repeat

Receive feedback on the encounter and decision path. Revisit the case or try another to test how your reasoning changes.

03 / What to observe


Quality of questions and listening

Use of evidence and differential diagnosis

Explanation and revision of hypotheses

Communication with the patient

04 / A concrete example

A design case: Marco

Marco, 19, reports fatigue and breathlessness on exertion. This design case combines the patient conversation, clinical data, a reasoning map, dialogue feedback, and reflection with a coach. It illustrates an educational journey that can be configured for learners’ objectives and level.

 

05 / How to tailor it

Cases and difficulty, objectives by year of study, consultation format, available tests, rubrics, and feedback are configured with educators. Practice can be online or embedded in an immersive lab.