Omega Group · LIVE at virtualpatient.bg

MAIA

AI platform for clinical simulations

Your cases. Your criteria. Assessed by AI.

MAIA — AI platform for clinical simulations
The challenge

Clinical training cannot
rely solely on standardised patients

Standardised patient programmes are expensive, hard to scale and depend on actor availability. Assessment is subjective and delayed. Faculty spend weeks preparing cases, while students get limited practice and minimal feedback.

< 60 sec
to generate a full clinical case with AI
4
competency dimensions assessed every session
6
patient temperaments for communication training
10–12
checklist points for assessing each case
< 30 sec
for automatic assessment after every session
The solution

Free consultations. Not dialogue trees.

MAIA replaces expensive, hard-to-scale standardised patient programmes with AI that adapts to any group size. Create clinical cases in minutes. Assign them to students. Get personalised assessment against your own criteria, automatically. Faculty retain full control. Students get unlimited practice. Every session generates multi-dimensional feedback.

How it works

Three steps. Full cycle.

1. Case creation

Describe the clinical scenario in one sentence: AI generates a full patient profile, medical history, expected diagnostic algorithm and a 10–12 point assessment checklist. Or use the manual 4-step editor for full control.

Every specialty. Every difficulty. Fully customisable. Create 20+ publication-ready cases in one afternoon.

AI clinical case generator

2. Practice with the AI patient

Students conduct realistic, free-form consultations with AI patients. No branching dialogues. No pre-set responses. The patient reacts naturally, reveals information gradually and shifts emotional state depending on the student's approach.

Poor communication leads to frustration. An empathetic approach leads to cooperation. Students feel the consequences of their approach in real time.

Consultation with an AI patient

3. Automatic assessment

AI assesses every session across four competency dimensions defined by the instructor. Students receive instant feedback: category scores, a checklist with cited evidence from the transcript, analysis of open and closed questions, efficiency metrics and concrete areas for improvement.

Faculty review full annotated transcripts and add personalised comments.

Automated assessment and feedback
Capabilities

Everything you need. In one place.

✨

AI case generator

Describe a scenario in natural language. MAIA generates a full case: patient profile, system prompt, diagnostic algorithm, categorised checklist and difficulty level.

🎭

6 patient temperaments

Calm and cooperative. Anxious and talkative. Impatient and brief. Sceptical and argumentative. Confused and elderly. Emotional and distressed. Each one builds different skills.

📊

Assessment across 4 dimensions

Communication, clinical reasoning, algorithm adherence and quality of recommendations, with intelligent calibration that prevents inflated scores on superficial sessions.

🎯

Instructor criteria

No generic rubrics. You set the expected clinical algorithm, assessment checklist and recommended action. AI assesses strictly against your standards.

🔍

Question analysis

AI classifies every student question. Breakdown of open and closed questions with concrete examples from the transcript, plus an overall assessment of questioning technique.

📈

Cohort analytics dashboard

Real-time data: competency breakdown, score distribution, trends, most-missed steps and student rankings. AI generates insights and recommends interventions.

Dynamic simulation

Patients that react.
Not scripts that run.

Adaptive patient behaviour

AI patients maintain consistent personality, reveal information only when the right questions are asked and shift mood depending on student behaviour. They do not follow a script, they react.

If the student ignores the patient's concerns, they shut down. If they show empathy, the patient shares more. Every session is different, just like real clinical practice.

Adaptive AI-patient behaviour

Intelligent score calibration

Scores are calibrated dynamically against session quality. Short, superficial consultations cannot produce inflated scores. Hard ceilings ensure clinical rigour: a missing recommendation caps the result at 40%. Missed critical steps cap algorithm adherence at 25%.

The hint system provides context-aware guidance during a consultation with a configurable point penalty, encouraging independent clinical reasoning while providing a safety net.

Intelligent score calibration
Who it's for MAIA

Built for the leaders in medical education

Deans and programme directors

Scale clinical skills training without growing the standardised-patient budget. Roll out across all departments. Measure outcomes with data, not anecdotes.

Faculty

Define your own assessment criteria. Review annotated transcripts with inline comments. See where your group is strong and where it needs additional support.

Students

Unlimited low-stakes practice with instant, actionable feedback. Repeat cases. Track your progress. Learn from detailed breakdowns of every consultation.

Residency programmes

Standardised assessment for large resident cohorts. Consistent criteria. Documented performance history for every trainee.

Security and compliance

Reliable infrastructure for sensitive data

🔒

GDPR compliance

Infrastructure hosted entirely within the European Union. Full compliance with personal-data protection requirements.

🌐

Multilingual support

Interface and clinical cases in multiple languages. Suitable for international education programmes.

📝

Full audit trail

Every session, transcript, assessment and faculty comment is archived. Transparency and traceability at every level.

🛡

Data isolation

Students see only their own data. Role-based access for faculty, administrators and learners.

Piloted at Medical University, Pleven

Ready to transform clinical training?

MAIA is already available at virtualpatient.bg. Try the platform or write to us about a pilot deployment.

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