Early-stage medical education technology

CaseBase: Collaborative Clinical Reasoning for Medical Education

CaseBase: Collaborative Clinical Reasoning for Medical Education

CaseBase: Collaborative Clinical Reasoning for Medical Education

A live, facilitator-led platform for team-based clinical case learning.

A live, facilitator-led platform for team-based clinical case learning.

Breakthrough Medical Solutions is developing CaseBase, a browser-based platform that helps medical students and trainees work through interactive clinical cases in teams. CaseBase combines staged case progression, educator control, bounded AI patient interaction, gamified feedback and structured debriefing to make case-based learning more active, collaborative and measurable.

Breakthrough Medical Solutions is developing CaseBase, a browser-based platform that helps medical students and trainees work through interactive clinical cases in teams. CaseBase combines staged case progression, educator control, bounded AI patient interaction, gamified feedback and structured debriefing to make case-based learning more active, collaborative and measurable.

For medical education only — not diagnosis, clinical decision support or patient care.

Live session prototype

Clinical reasoning session

Acute breathlessness: team-based case progression

Acute breathlessness: team-based case progression

Stage

History

Time

08:00

Bounded AI patient interaction

Team A asks: When did the breathlessness start?

Case response stays within the prepared scenario and educator-supervised session.

Structured debrief

Education challenge

Built for active clinical reasoning

Built for active clinical reasoning

Clinical reasoning is difficult to teach consistently through passive cases alone. Learners need repeated opportunities to ask questions, make decisions, discuss uncertainty and understand what they missed. CaseBase is designed to sit between traditional case-based learning and high-resource simulation: lower-friction than simulation, more interactive than static cases, and structured around facilitator-led teaching.

Clinical reasoning is difficult to teach consistently through passive cases alone. Learners need repeated opportunities to ask questions, make decisions, discuss uncertainty and understand what they missed. CaseBase is designed to sit between traditional case-based learning and high-resource simulation: lower-friction than simulation, more interactive than static cases, and structured around facilitator-led teaching.

Prototype in development

We are building a focused prototype to demonstrate the core live teaching experience before wider platform development.

Medical education focused

Designed for clinical reasoning, case-based learning, clinical skills and simulation-adjacent teaching.

Pilot conversations open

We are seeking feedback from educators, students, trainees and institutions interested in collaborative approaches to clinical reasoning education.

CaseBase

The CaseBase platform

The CaseBase platform

CaseBase enables educators to run timed, facilitator-led clinical reasoning sessions where student teams work through a case together, interact with a bounded AI patient, make decisions, receive XP and debrief around missed actions and learning points.

CaseBase enables educators to run timed, facilitator-led clinical reasoning sessions where student teams work through a case together, interact with a bounded AI patient, make decisions, receive XP and debrief around missed actions and learning points.

Join instantly

Students join a live session by QR code or session code through a web browser. No app download or account creation is required for the prototype.

Reason through stages

Teams progress through structured stages such as history, assessment, investigation, management and debrief.

Interact with the case

A case-bounded AI patient can respond to learner questions during the history stage, helping students practise focused information gathering.

Debrief what mattered

The session ends with a structured debrief showing key learning points, missed actions, clinical significance and team rankings.

Teaching flow

How CaseBase works

How CaseBase works

1

Facilitator launches a session

The educator selects or prepares a clinical case and starts a live classroom session.

2

Teams join by QR code

Learners join through a browser and work together in small groups.

3

Case unfolds in stages

Teams move through timed stages of clinical reasoning, decision-making and discussion.

4

AI supports interaction

The AI layer supports case-bounded patient responses and learning prompts within a supervised educational environment.

5

Debrief closes the loop

Educators review key actions, missed opportunities, clinical significance and team performance.

Facilitator-led

Designed around educators

Designed around educators

CaseBase is intended to support educators, not replace them. The facilitator remains central to the learning experience, guiding discussion, managing uncertainty, challenging reasoning and leading the debrief.

CaseBase is intended to support educators, not replace them. The facilitator remains central to the learning experience, guiding discussion, managing uncertainty, challenging reasoning and leading the debrief.

Facilitator-led

Educators remain in control of timing, discussion and debrief.

Team-based

Learners reason together, explain their thinking and learn from peers.

Gamified urgency

XP, timed stages and leaderboards add energy and focus while keeping learning central.

Simulation-inspired

Dynamic case events can create a sense of consequence without requiring high-resource simulation.

Clear intended use

Educational use only

Educational use only

CaseBase is designed for medical education, not diagnosis, patient care or clinical decision support. The AI layer is intended to be case-bounded, educator-supervised and used only within structured learning sessions. The current prototype is focused on demonstrating the live learning experience, gathering feedback and identifying suitable pilot settings.

CaseBase is designed for medical education, not diagnosis, patient care or clinical decision support. The AI layer is intended to be case-bounded, educator-supervised and used only within structured learning sessions. The current prototype is focused on demonstrating the live learning experience, gathering feedback and identifying suitable pilot settings.

Not a diagnostic tool

Not intended for patient care

Educator-supervised learning

Collaborate

Collaborate with us

Collaborate with us

Help shape CaseBase through feedback, prototype review and pilot conversations.

Help shape CaseBase through feedback, prototype review and pilot conversations.

We are currently speaking with medical educators, clinical teaching teams, simulation leads, students, trainees and institutions interested in collaborative approaches to clinical reasoning education.

We are currently speaking with medical educators, clinical teaching teams, simulation leads, students, trainees and institutions interested in collaborative approaches to clinical reasoning education.

Review the prototype

Share feedback on the CaseBase workflow, usability, educational fit and facilitator experience.

Discuss a pilot

Explore whether CaseBase could be tested in a small, low-risk teaching session with students or trainees.

Support validation

Help us understand what evidence, governance and implementation requirements would matter before wider adoption.

Share your perspective

Offer insight from medical education, clinical teaching, health innovation, venture building or early-stage product development.

What an early pilot could involve

What an early pilot could involve

An initial CaseBase pilot would be designed as a focused educational evaluation rather than a large-scale deployment. It could involve a facilitator-led session with a small group of learners, followed by structured feedback on engagement, usability, educational value and implementation fit. We are particularly interested in identifying settings where CaseBase could complement existing case-based learning, clinical skills or simulation-adjacent teaching.

An initial CaseBase pilot would be designed as a focused educational evaluation rather than a large-scale deployment. It could involve a facilitator-led session with a small group of learners, followed by structured feedback on engagement, usability, educational value and implementation fit. We are particularly interested in identifying settings where CaseBase could complement existing case-based learning, clinical skills or simulation-adjacent teaching.

Small-group session

A focused teaching session with students or trainees.

Structured feedback

Feedback on usability, engagement, educational value and barriers.

Clear next steps

Pilot conversations help define whether, where and how CaseBase should be developed further.

Contact

Contact Breakthrough Medical Solutions

Contact Breakthrough Medical Solutions

For enquiries about CaseBase, prototype review, pilot conversations, educational collaboration, advisor discussions or general contact, please get in touch.

For enquiries about CaseBase, prototype review, pilot conversations, educational collaboration, advisor discussions or general contact, please get in touch.

hello@breakthrough-med.com

Tell us briefly how we can help.

© 2026 Breakthrough Medical Solutions. CaseBase is an early-stage collaborative clinical reasoning platform for medical education.

© 2026 Breakthrough Medical Solutions. CaseBase is an early-stage collaborative clinical reasoning platform for medical education.