Medical education – ClinCaseQuest https://clincasequest.hospital Medical education in clinical cases Wed, 15 Apr 2026 07:07:44 +0000 en-US hourly 1 https://wordpress.org/?v=6.2.11 https://clincasequest.hospital/wp-content/uploads/sites/7/2020/02/logo-ru-project-90x90.png Medical education – ClinCaseQuest https://clincasequest.hospital 32 32 Simulation-Based Medical Education: BSMU Students in ClinCaseQuest Simulations (Video) https://clincasequest.hospital/medical-students-simulation-training-clincasequest/ Wed, 15 Apr 2026 07:00:45 +0000 https://clincasequest.hospital/?p=38669 Simulation-based medical education is a key component of modern medical training. This video demonstrates how students from Bukovinian State Medical University (BSMU) engage with clinical…

Сообщение Simulation-Based Medical Education: BSMU Students in ClinCaseQuest Simulations (Video) появились сначала на ClinCaseQuest.

]]> Simulation-based medical education is a key component of modern medical training. This video demonstrates how students from Bukovinian State Medical University (BSMU) engage with clinical simulations on the ClinCaseQuest platform.

We sincerely thank the students of Bukovinian State Medical University for their active participation in validation research and for completing branching clinical simulations within the ClinCaseQuest environment.

As part of the study, students worked with clinical scenarios built on:

  • a medical error severity stratification model
  • the Defragmented Debriefing Model (DDM)

Special thanks to Tetiana Antofiichuk for coordination and support throughout this process.

The results of this educational experiment not only confirmed the effectiveness of the approach but also opened new scientific directions and defined further technological development of the platform.

Such approaches to simulation-based medical education enable the development of clinical reasoning in a psychologically safe environment.

We continue working on building an effective tool for clinical reasoning development.

Together, we are shaping the future of medical education 🚀

BSMU students engage in clinical simulations on ClinCaseQuest, demonstrating how simulation-based learning supports clinical reasoning and safe medical training.

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Сообщение Simulation-Based Medical Education: BSMU Students in ClinCaseQuest Simulations (Video) появились сначала на ClinCaseQuest.

]]> Three Research Directions Emerging from the ClinCaseQuest Simulation Study https://clincasequest.hospital/clinical-simulation-research-clincasequest-three-directions/ Tue, 14 Apr 2026 21:04:36 +0000 https://clincasequest.hospital/?p=38650 ClinCaseQuest research reveals three key directions shaping medical education: psychological safety, clinical reasoning analysis, and AI-driven simulation analytics. In Autumn 2025, a large multicenter and…

Сообщение Three Research Directions Emerging from the ClinCaseQuest Simulation Study появились сначала на ClinCaseQuest.

]]> ClinCaseQuest research reveals three key directions shaping medical education: psychological safety, clinical reasoning analysis, and AI-driven simulation analytics.

In Autumn 2025, a large multicenter and multicultural educational study was conducted using the ClinCaseQuest simulation-based learning platform.

The research involved medical students from multiple countries and was implemented through collaboration with Kyiv Medical University and Bukovinian State Medical University, bringing together educators, researchers, and simulation experts.

The first results of this work were presented at the 6th International Scientific and Practical Conference “Medical Simulation: A Look into the Future” held by Bukovinian State Medical University.

The project unexpectedly revealed three major scientific and technological directions emerging from the ClinCaseQuest simulation environment.

1. Psychological Safety in Simulation Training

Research led by Iryna Avramenko and Mariia Yartseva demonstrated the psycho-emotional impact of simulations built on the Defragmented Debriefing Model (DDM).

The study showed:

  • 13.2% reduction in situational anxiety (p < 0.05)
  • 45% of students experienced decreased anxiety after simulation training
  • no clinically significant increase in anxiety

These findings support the concept that psychological safety in simulation can be an outcome of instructional design, not only a prerequisite for learning.

The Defragmented Debriefing Model, integrated into ClinCaseQuest simulations, distributes reflective micro-interventions throughout the scenario, allowing students to process decisions and errors gradually.

This approach stabilizes emotional responses while simultaneously supporting the development of clinical reasoning.

2. Attempt-Based Analysis of Clinical Reasoning

A second research direction was presented by Tetiana Antofiichuk, MD, PhD, focusing on Attempt-Based Analysis of simulation performance.

The study revealed an important insight:

Even when 100% of students reach the correct final diagnosis, their clinical reasoning pathways differ dramatically.

Using attempt-based analytics, researchers identified that:

• students required an average of 2.3 attempts per key clinical decision step

• multiple reasoning patterns emerged, from structured expert reasoning to trial-and-error approaches

• several systemic learning zones became visible, including errors in severity assessment, ACLS sequence decisions, and ECG interpretation.

This approach shifts the focus from “what decision was made” to “how the decision was reached.”

3. AI-Based Analytics of Branching Simulation Scenarios

The third direction emerged directly from the technical structure of ClinCaseQuest simulations.

Because the platform uses branching clinical scenarios, every learner interaction generates a detailed log of clinical reasoning steps.

This opened a new technological research pathway:

AI-based analysis of branching simulation logs.

Using artificial intelligence, large volumes of simulation performance data can be transformed into:

  • structured analytics of clinical reasoning
  • identification of decision patterns
  • scalable assessment of learner performance across cohorts.

This direction forms the foundation for the future analytics module of the ClinCaseQuest platform, which aims to provide educators with deeper insights into clinical decision-making processes during simulation training.

Looking Forward

What began as an educational experiment has evolved into a multidimensional research program combining:

  • simulation pedagogy
  • psychological safety research
  • clinical reasoning analytics
  • artificial intelligence.

Together, these directions are shaping the future of data-informed simulation-based medical education.

ClinCaseQuest is grateful to all researchers, educators, and students who participated in this study and contributed to advancing new approaches to training clinical reasoning and improving healthcare safety.

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Сообщение Three Research Directions Emerging from the ClinCaseQuest Simulation Study появились сначала на ClinCaseQuest.

]]> Defragmented Debriefing Model as a Tool for Psychological Safety in Simulation Training https://clincasequest.hospital/ddm-psychological-safety-simulation-training/ https://clincasequest.hospital/ddm-psychological-safety-simulation-training/#respond Tue, 14 Apr 2026 20:29:12 +0000 https://clincasequest.hospital/?p=38637 At the 6th International Scientific and Practical Conference “Medical Simulation: A Look into the Future”, held at Bukovinian State Medical University, Associate Professor Iryna Avramenko,…

Сообщение Defragmented Debriefing Model as a Tool for Psychological Safety in Simulation Training появились сначала на ClinCaseQuest.

]]> At the 6th International Scientific and Practical Conference “Medical Simulation: A Look into the Future”, held at Bukovinian State Medical University, Associate Professor Iryna Avramenko, MD, PhD presented research on the role of Defragmented Debriefing in supporting psychological safety in simulation-based education.

The study was conducted by researchers from Kyiv Medical University (Polish Campus) in collaboration with ClinCaseQuest, the simulation-based learning platform used as the technological environment for the educational experiment.

The presentation explored how the Defragmented Debriefing Model (DDM) — an instructional architecture integrated into ClinCaseQuest simulations — supports reflective learning and emotional regulation during simulation training.

Rethinking Debriefing in Simulation Training

In traditional simulation-based education, reflection typically occurs only after the scenario has ended, during a final debriefing session. While effective for discussion and feedback, this structure may allow emotional tension and cognitive load to accumulate throughout the scenario.

The Defragmented Debriefing Model proposes a different approach.

Instead of concentrating reflection at the end of a simulation, brief reflective interventions are distributed throughout the scenario itself. These micro-debriefing components provide learners with:

  • short explanations
  • supportive feedback on decisions
  • guiding questions during challenging moments
  • contextual cognitive support integrated directly into the simulation flow.
    Ukrainian_DDM_Conference_Presen…

This design allows reflection to occur in real time, enabling students to process mistakes and decisions gradually rather than retrospectively.

Research Design

The study used a prospective single-center design involving 31 senior medical students from 12 countries, studying at the Kyiv Medical University Polish Campus.

Participants completed simulation scenarios on the ClinCaseQuest platform, where branching clinical cases integrate two core models:

  • a mathematical model for stratifying the severity of medical errors
  • the Defragmented Debriefing Model, embedding micro-reflection components into the scenario flow.

To assess the psychological impact of simulation training, researchers applied two validated psychometric instruments:

  • Kessler Psychological Distress Scale (K10) — measuring psychological distress
  • State Anxiety Inventory (STAI-S) — assessing situational anxiety levels before and after simulation training.
    Ukrainian_DDM_Conference_Presen…

Statistical analysis included paired t-tests and correlation analysis with a significance threshold of p < 0.05.

Key Findings

The results demonstrated a measurable psycho-emotional effect of simulation training built on the Defragmented Debriefing Model.

The study revealed:

  • 13.2% reduction in situational anxiety (p < 0.05)
  • 45% of participants experienced decreased anxiety after simulation training
  • no cases of clinically significant anxiety increase were observed.
    Ukrainian_DDM_Conference_Presen…

Importantly, students with initially elevated psychological distress showed stabilization of anxiety levels rather than escalation, suggesting that the simulation environment maintained emotional balance even in complex clinical scenarios.

According to the conceptual model presented in the study, distributed micro-debriefing prevents the accumulation of emotional stress peaks by allowing learners to integrate feedback gradually during the simulation process.

From Educational Concept to Simulation Architecture

The Defragmented Debriefing Model represents a transition from facilitation-dependent educational practices toward design-level implementation of reflective learning within digital simulation environments.

In ClinCaseQuest simulations, reflective components are embedded directly in decision points of branching scenarios, enabling:

  • continuous cognitive processing
  • incremental integration of feedback
  • emotional regulation during training
  • sustained psychological safety for learners.

Implications for Medical Education

The findings suggest that psychological safety in simulation-based education can be viewed not only as a prerequisite for learning but also as a measurable outcome of instructional design.

The Defragmented Debriefing Model demonstrates that structured reflective support embedded within simulation architecture can:

  • reduce cognitive overload
  • stabilize emotional responses during complex scenarios
  • enhance the development of clinical reasoning
  • create a safer learning environment for medical students.

ClinCaseQuest is grateful to Kyiv Medical University (Polish Campus) and the research team — Iryna Avramenko and Mariia Yartseva — for their important contribution to advancing research on psychological safety in simulation-based medical education.

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]]> https://clincasequest.hospital/ddm-psychological-safety-simulation-training/feed/ 0 Attempt-Based Analysis: A New Paradigm for Assessing Clinical Reasoning in Simulation https://clincasequest.hospital/attempt-based-analysis-of-clinical-reasoning/ Mon, 06 Apr 2026 19:46:26 +0000 https://clincasequest.hospital/?p=38620 ClinCaseQuest is proud to highlight the presentation of Tetiana Antofiichuk, MD, PhD, at the international scientific-practical conference “Medical Simulation: A Look into the Future”, held…

Сообщение Attempt-Based Analysis: A New Paradigm for Assessing Clinical Reasoning in Simulation появились сначала на ClinCaseQuest.

]]> ClinCaseQuest is proud to highlight the presentation of Tetiana Antofiichuk, MD, PhD, at the international scientific-practical conference “Medical Simulation: A Look into the Future”, held at Bukovinian State Medical University.

Dr. Antofiichuk is an educator at one of the validation centers of the ClinCaseQuest simulation training platform, where she teaches clinical reasoning – a core competency that our simulation scenarios are designed to develop.

Her presentation introduced an analytical approach developed within ClinCaseQuest for evaluating clinical reasoning in simulation training: Attempt-Based Analysis

Traditional simulation assessment typically measures only the final correctness of a clinical decision. However, this approach may conceal critical differences in the reasoning process that leads to that decision.

The study conducted using ClinCaseQuest simulation scenarios demonstrated that:

  • 100% of students reached the correct final diagnosis in both scenarios
  • however, their clinical reasoning pathways differed significantly
  • on average, students required 2.3 attempts per key clinical decision step to reach the correct outcome

By analyzing attempts, types of errors, self-correction patterns, and decision-making time, this method reveals how students think, rather than only what decision they ultimately make.

The research also identified five distinct clinical reasoning types, ranging from structured expert reasoning to trial-and-error decision making.

Even more importantly, the analysis uncovered four systemic learning zones where targeted educational interventions are needed:

  • Early severity assessment of hemodynamic instability
  • Errors in ACLS decision sequences
  • Over-testing driven by the “more tests = safer” mindset
  • Gaps in ECG interpretation despite theoretical knowledge

These findings demonstrate an important insight for medical education:

The correct answer is not the finish line – it is where meaningful analysis begins.

Attempt-based analysis complements traditional evaluation by making the clinical reasoning process visible, enabling educators to design more precise and effective teaching interventions.

ClinCaseQuest is grateful to Bukovinian State Medical University for serving as a validation center and supporting this research initiative.

We also thank the medical students of the Bukovinian State Medical University who participated in the study and contributed to advancing new approaches to assessing clinical competence in simulation training.

Research like this represents an important step toward data-informed medical education and more effective development of clinical reasoning skills.

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Сообщение Attempt-Based Analysis: A New Paradigm for Assessing Clinical Reasoning in Simulation появились сначала на ClinCaseQuest.

]]> ClinCaseQuest presented the first experience of analyzing branching simulation logs based on artificial intelligence at the “Medical Simulation: A Look into the Future” Conference https://clincasequest.hospital/clincasequest-presents-ai-driven-analysis-of-simulation-logs/ Thu, 19 Feb 2026 21:23:36 +0000 https://clincasequest.hospital/?p=38578 ClinCaseQuest is pleased to share our participation in the scientific and practical conference “Medical Simulation: A Look into the Future”, held at Bukovinian State Medical…

Сообщение ClinCaseQuest presented the first experience of analyzing branching simulation logs based on artificial intelligence at the “Medical Simulation: A Look into the Future” Conference появились сначала на ClinCaseQuest.

]]> ClinCaseQuest is pleased to share our participation in the scientific and practical conference “Medical Simulation: A Look into the Future”, held at Bukovinian State Medical University.

During the conference, we presented our experience in implementing artificial intelligence technologies for the analysis of branching simulation logs within the ClinCaseQuest simulation-based learning platform.

The presentation highlighted how:
🔴 large volumes of simulation performance data
🟠 can be transformed using AI
🟢 into structured, valid, and scalable analytics of clinical reasoning – supporting both individual feedback and group-level assessment.

We sincerely thank all participants of the multicenter study – medical students from Kyiv Medical University and Bukovinian State Medical University – who took part in the pilot experiment 🧑‍⚕️👨‍⚕️👩‍⚕️.

Special thanks to the educators who supported this research and helped organize the educational and research process: Iryna Avramenko Iryna Avramenko, MD, PhD; Mariia Yartseva, MD, PhD; Tetiana Antofiichuk Tetiana Antofiichuk, MD, PhD.

We would also like to express our heartfelt gratitude to Tetiana Zaikina, MD, PhD, the author of the clinical scenario (Clinical case simulator  “An interrupted symphony”   that formed the basis for the first detailed AI-based analysis of clinical simulation logs.

We strongly believe that such approaches represent an important step toward safer healthcare and more data-informed, reflective medical education.

Register on our website right now to have access to more learning materials!

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Clinical case simulator “An interrupted symphony”

Сообщение ClinCaseQuest presented the first experience of analyzing branching simulation logs based on artificial intelligence at the “Medical Simulation: A Look into the Future” Conference появились сначала на ClinCaseQuest.

]]> AI-Driven Patient Simulator – Quick Feedback https://clincasequest.hospital/ai-patient-feedback-form/ Wed, 09 Apr 2025 13:24:02 +0000 https://clincasequest.hospital/?p=38466 🗣️ We Value Your Feedback Thank you for your interest in the AI-Driven Patient Simulator! If you’ve already had a chance to explore or test…

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]]>

🗣️ We Value Your Feedback

Thank you for your interest in the AI-Driven Patient Simulator!
If you’ve already had a chance to explore or test the platform, we’d love to hear your impressions, comments, or suggestions for improvement.

Your experience and insights will help us shape a more effective tool for clinical education.

AI-Driven Patient Simulator – Quick Feedback (2 Minutes)

  • 1. Overall Impression

  • 2. Most Valuable Feature

  • 3. Usability

  • 4. Relevance

  • Suggestions for Improvement

  • Would you like to stay involved as an early tester?

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]]> Get Early Access AI-Driven Patient Simulator https://clincasequest.hospital/get-early-access-ai-driven-patient-simulator/ Fri, 04 Apr 2025 13:53:48 +0000 https://clincasequest.hospital/?p=38451 Try the AI-Driven Patient Simulator and explore the future of medical education 🧠 Try the AI-Driven Patient Simulator Explore the future of medical education with…

Сообщение Get Early Access AI-Driven Patient Simulator появились сначала на ClinCaseQuest.

]]> Try the AI-Driven Patient Simulator and explore the future of medical education

🧠 Try the AI-Driven Patient Simulator

Explore the future of medical education with intelligent, interactive, and adaptive clinical training.

🔍 Key Features

  • ✅ Real-time communication with AI-driven virtual patients
  • 🗣️ Speech recognition, natural language understanding, and multilingual support
  • 📊 Detailed simulation logs and performance reports
  • 🎯 Personalized feedback based on clinical decisions
  • 📚 Unlimited scenario creation and access to a clinical case library
  • ⚙️ Automatic assessment of learner performance
  • 🧍‍♂️ 3D avatars with facial animation and expression synthesis
  • 📖 Integrated medical knowledge library
  • 🔁 Dual mode: Developer and Learner views

Сообщение Get Early Access AI-Driven Patient Simulator появились сначала на ClinCaseQuest.

]]> Celebrating a Major Milestone: SESAM Recognizes ClinCaseQuest’s Defragmented Debriefing Model as an Advancement in Clinical Simulation 2024 https://clincasequest.hospital/sesam-2024/ Sat, 05 Oct 2024 15:46:04 +0000 https://clincasequest.hospital/?p=38356 At ClinCaseQuest, we are thrilled to announce an outstanding achievement in the field of medical education. Our innovative Defragmented Debriefing Methodology has been officially recognized…

Сообщение Celebrating a Major Milestone: SESAM Recognizes ClinCaseQuest’s Defragmented Debriefing Model as an Advancement in Clinical Simulation 2024 появились сначала на ClinCaseQuest.

]]> At ClinCaseQuest, we are thrilled to announce an outstanding achievement in the field of medical education. Our innovative Defragmented Debriefing Methodology has been officially recognized by the Society in Europe for Simulation Applied to Medicine (SESAM) and published in their prestigious journal, Advances in Simulation. This recognition comes right before the annual SESAM conference (19 June 2024) and marks a significant step forward in clinical simulation training.

The Journey to Recognition

In June 2024, at the 29th SESAM Annual Meeting in Prague, we had the honor of presenting our groundbreaking work: “Defragmented Debriefing Methodology for Enhancing Online Simulation Training in Medical Education.” This methodology forms the backbone of the simulation training at ClinCaseQuest, developed to improve the quality of medical training and the acquisition of clinical competencies. It was an immense honor to have our work acknowledged and published in Advances in Simulation, solidifying its relevance and potential for global impact.

Our Defragmented Debriefing Model was born from a deep desire to enhance medical simulation during the challenging times of the COVID-19 pandemic. In 2020, when the world stood still, medical training had to adapt to new realities. The team at ClinCaseQuest took on the challenge of creating a solution that would not only bridge the gap left by the pandemic but elevate the entire simulation training experience.

What is Defragmented Debriefing?

Defragmented debriefing is a method that refines the traditional simulation training approach by focusing on enhanced immersion, continuous competency acquisition, and in-depth clinical decision-making. It ensures that medical learners experience a seamless and thorough debriefing process, preventing the fragmentation of skills that can occur during disjointed training sessions. This model is particularly suited for both in-person and online simulation settings and has shown remarkable promise in improving training outcomes for diverse medical specialties.

Key Advantages of Defragmented Debriefing:

  • Enhanced Online Training: Delivers high-quality outcomes even in virtual environments.
  • Deep Immersion: Offers a comprehensive dive into clinical decision-making.
  • Competency Preservation: Prevents skill fragmentation and ensures continuous learning.
  • Broader Training Applications: Expands opportunities for specialties previously beyond the scope of simulation.
  • Multi-location Simulation: Supports complex clinical cases across multiple locations.
  • Comparable to Real Practice: Provides clinical experience on par with real-world practice.
  • Adaptability: Highly personalized and adaptable to both trainers and learners.

The Path Ahead

This recognition from SESAM reflects the hard work and dedication of our team, who spent four years merging clinical expertise with an innovative approach to medical education. We remain committed to pushing the boundaries of simulation training through further scientific collaboration, research, and validation.

As we continue to grow, we invite universities, medical faculties, hospital simulation centers, and simulation training platforms to explore our methodology and collaborate in advancing medical education worldwide.

Join Us on the Journey

At ClinCaseQuest, we believe that defragmented debriefing has the potential to revolutionize simulation training, providing learners with a more in-depth, immersive experience that translates to real-world clinical competence. We look forward to sharing more developments and continuing our mission to enhance medical training for professionals across the globe.

Take Your Medical Training to the Next Level

At ClinCaseQuest, we invite you to join our clinical simulation training and experience firsthand how the Defragmented Debriefing Model can enhance your medical competencies. Whether you are a seasoned professional or a student just starting, our cutting-edge platform offers the tools you need to succeed in the fast-evolving world of healthcare.

Let’s build the future of clinical education – together!

Read More:
Lopina N. A Staged Defragmented Simultaneous Debriefing Model as Integrated Micro-debriefing Components Inside Online Simulation for Competencies Formation. Cureus. 2024 Mar 12;16(3)

Read article here

Read Conference Abstract:
Lopina N. Defragmented Debriefing Methodology for Enhancing Online Simulation Training in Medical Education. Advances in Simulation 2024, 9(1)

Read abstract here

Check out our event photo gallery for a glimpse of the conference highlights and stay connected with ClinCaseQuest for more updates on how we’re transforming medical simulation!

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    Сообщение Celebrating a Major Milestone: SESAM Recognizes ClinCaseQuest’s Defragmented Debriefing Model as an Advancement in Clinical Simulation 2024 появились сначала на ClinCaseQuest.

    ]]>         ClinCaseQuest Featured in SchoolAndCollegeListings Directory https://clincasequest.hospital/schoolandcollegelistings-directory/ Sat, 30 Mar 2024 21:05:12 +0000 https://clincasequest.hospital/?p=37759 Exciting News Alert! We are thrilled to announce that ClinCaseQuest has been successfully added to SchoolAndCollegeListings – a premier online directory for educational institutions worldwide!…

    Сообщение ClinCaseQuest Featured in SchoolAndCollegeListings Directory появились сначала на ClinCaseQuest.

    ]]>     Exciting News Alert!

    We are thrilled to announce that ClinCaseQuest has been successfully added to SchoolAndCollegeListings – a premier online directory for educational institutions worldwide! 🌍📚

    This prestigious inclusion is a testament to our commitment to providing top-notch education services in the field of medical simulation training. 🩺💡

    🔍 Explore our listing here: Clin Case Quest Listing

    SchoolAndCollegeListings serves as a comprehensive platform connecting students, parents, and educational professionals with reputable institutions and educational resources.

    With SchoolAndCollegeListings, we have received excellent opportunities:

    ✨ Amplifying Online Visibility to a wider worldwide audience actively seeking educational services.
    🌟 Showcasing Our Expertise.
    🎓 Connection with Targeted Audience.
    📢 Social Media Promotion.

    Share our link in the SchoolAndCollegeListings Directory with your friends, colleagues, and community!

    Together, let’s empower more medical students and doctors, and shape a brighter future without medical errors. 💫

    Thank you, SchoolAndCollegeListings, for this fantastic opportunity to enhance our online presence in the worldwide education sector. We are excited to contribute to the growth and success of our educational institution with the support of SchoolAndCollegeListings. 🚀

    Register on our website right now to have access to more learning materials!

    Subscribe to our pages:

    Сообщение ClinCaseQuest Featured in SchoolAndCollegeListings Directory появились сначала на ClinCaseQuest.

    ]]>         We presented our experience at AMEE 2023 https://clincasequest.hospital/amee-2023/ Wed, 30 Aug 2023 19:03:22 +0000 https://clincasequest.hospital/?p=36419 AMEE 2023 took place from 26-30 August 2023 at the Scottish Event Campus (SEC), Glasgow, UK. We are pleased to present our experience at the…

    Сообщение We presented our experience at AMEE 2023 появились сначала на ClinCaseQuest.

    ]]>     AMEE 2023 took place from 26-30 August 2023 at the Scottish Event Campus (SEC), Glasgow, UK.

    We are pleased to present our experience at the largest event in the field of medical education in the world in Glasgow during the AMEE 2023 Conference.

    • The AMEE conference gathers more than 4,000 participants from over 90 countries worldwide.
    • The AMEE conference offers a continuous stream of reports, lectures, and workshops, day and night, truly reflecting its global nature.
    • The AMEE conference covers a wide range of topics and directions.
    • The AMEE conference is both in-person and online.
    • The AMEE conference boasts a robust scientific program and significant research output.
    • The AMEE conference facilitates the exchange of experience and fosters collaboration.
    • The AMEE conference provides motivation, inspiration, and engagement.
    • The AMEE conference offers mentoring and support opportunities.
    • The AMEE conference serves as a platform to meet friends and like-minded individuals.
    • The AMEE conference enables participants to explore new horizons.
    • AMEE conference is powerful networking, personal, and virtual meetings in non-stop mode.

    We are pleased to present our experience at the largest event in the field of medical education in the world.

    We presented our strategy to teach doctors and teachers as experts for the Simulation Training Platform “ClinCaseQuest” as a strategy that can be used for medical school teachers as well as “The Program for training medical school teachers to write scenarios of clinical cases with branching”.

    We are very grateful to the entire team of ClinCaseQuest experts, doctors, and teachers. Only thanks to our joint work our algorithms and drafts have been significantly improved, which became a powerful basis for the presented report, every week we analyzed the work on errors and looked for ways to optimize each weekday and night an important update. We studied a lot to teach others, and this work was part of an important world experience.

    We are very grateful for an unforgettable week of work and creative inspiration in Glasgow! We hope to be a part of this community in the future as well!

    Register on our website right now to have access to more learning materials!

    Subscribe to our pages:

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