loading

Teaching residents to think like detectives

Teaching residents to think like detectives

When Dr. Emily Thomas, Medical Director of Clinical Evaluation and Simulation at the West Virginia School of Osteopathic Medicine, needed a postpartum hemorrhage case for her family medicine residents, she had to work around one gap: InvolveXR doesn’t yet have a way to visually show active bleeding. It’s on the roadmap. What she designed was hers alone: a scenario where nothing visual tells the resident what’s wrong. The patient has to.

The case opens with a 33-year-old who just delivered a large baby after a long, complicated labor. She’s awake and talking. She mentions she’s been feeling weak and dizzy every time she stands, and that she’s noticed blood in the toilet, though she’s not sure if that’s normal. Her vitals tell a different story: low blood pressure, a racing heart.

Here’s what that encounter sounds like.

Nothing about the encounter announces the diagnosis. Residents have to ask the right questions, notice that what the patient is saying doesn’t match her numbers, and build the diagnosis themselves. Dr. Thomas calls it teaching residents to be good detectives.

The case runs on three states. Recognize the hemorrhage, start fluids or transfusion and the right medication, and the patient recovers. Miss it or move too slowly, and she decompensates: more tachycardic, unresponsive, blood pressure dropping further.

For findings the platform can’t yet show physically, like a uterine exam, Dr. Thomas built in guidance her operators can relay on request, so the clinical picture stays whole no matter what a resident reaches for.

She keeps the AI tightly scripted on the facts that matter. Running several simulation rooms at once means one inconsistent detail can derail a debrief, so the hard clinical facts stay locked while the conversation itself stays natural and responsive.

That design choice paid off. The debrief wasn’t only about whether residents caught the hemorrhage. It was about how they got there, working through transfusion thresholds, uterotonic medications, and placental exams, because those questions came out of what they noticed, not what the simulation handed them.

The customizability of InvolveXR is what makes this kind of creativity possible. When educators can build around the needs of their learners, even the gaps can become opportunities to design something new.

Elevate Your Healthcare Program with AI-Enabled Immersive Training
InvolveXR delivers simulation of real procedures and patient interactions with lifelike scenarios enhanced by AI.