Case Based Learning

by Case Based Learning — Learn and Practice Clinical Scenarios in Different Settings Sharpen Your Clinical Decision-Making Skills Train with Real-World Medical Cases
Emergency Medicine Family Medicine Internal Medicine
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Paid, with a free trial

Overview

Welcome to Case Based Learning — where real clinical cases meet AI-powered education. I’m Dr. Schmurtz, your AI professor and virtual guide. The cases you’ll solve are 100% real medical scenarios from published literature and physician experiences — I’m just here to guide you through them. Ask me a question or click “Solve your first case” to get started.

Learn Medicine the Way It’s Meant to Be — Through Real Cases. Tired of boring textbooks and endless question banks? Step into the future of medical education with Case Based Learning — where real clinical cases from medical journals and physicians meet cutting-edge AI guidance. Our cases are 100% authentic medical scenarios — only your AI professor is artificial. Test your skills with genuine clinical cases, sharpen your diagnostic instincts, and build the confidence you need before you’re face-to-face with complex cases in real life.

Stop Watching. Start Thinking. Most medical education is a video playing in the background or text you have to memorize. Case-based learning puts you in the hot seat — you make the call, test your reasoning, and get feedback that actually changes how you practice. Passive fades. Interactive cases stick.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Interactive platform for medical education
  • Uses 100% real clinical cases from medical journals and physicians
  • Guided by an AI professor (Dr. Schmurtz)
  • Sharpen clinical decision-making skills
  • Journal-Based Cases (sourced from peer-reviewed literature)
  • Physician-Created Cases (developed by practicing physicians)
  • Monthly new cases published
  • Immediate feedback from AI professor
  • Comprehensive case library across multiple specialties
  • Progress tracking
  • Flexible learning (study at own pace, anytime, anywhere)

Use Cases

  • Sharpen diagnostic instincts
  • Build confidence for complex cases in real life and rotations
  • Practice clinical reasoning
  • Prepare for medical board exams (e.g., Step 1 or 2 ethics)
  • Medical students: build clinical reasoning skills and prepare for patient encounters
  • Residents: enhance diagnostic abilities and practice complex clinical scenarios

What Physicians Need to Know

CME Credit Availability
Offers CME subscription plans, allowing users to earn 1 AMA PRA Category 1 Creditu2122 per completed case. Also supports earning medical knowledge MOC points for ABIM Maintenance of Certification (MOC) program.
Case-Based Learning
Features 100% authentic medical cases sourced from published medical journals and real physician experiences, guided by an AI professor. Emphasizes active learning, critical thinking, and real-world application through interactive scenarios where users ask questions, order tests, and make decisions. New cases are published monthly across multiple specialties.
Simulation Features
Simulates real-world diagnostic and management decisions, allowing users to interact with virtual patients, order tests, and make treatment choices in a safe environment. Provides instant feedback from the AI professor on clinical decisions.
Knowledge Assessment
Provides instant feedback from the AI professor on clinical decisions and allows users to track their progress to identify areas for improvement. Aims to sharpen diagnostic instincts and build confidence.
Specialty Board Prep
Highly relevant for board preparation by enhancing clinical reasoning, diagnostic skills, and experience with real-world cases across various specialties. User testimonials suggest utility for ethics in Step 1 or 2, and for gaining experience akin to ward rotations.
Evidence-Based Content Updates
Cases are derived from peer-reviewed medical literature and clinical publications, developed by practicing physicians. The platform's CME objectives highlight the application of evidence-based clinical reasoning and integration of current clinical guidelines.
Interactive Anatomy/Imaging
Cases include the provision of lab results, imaging, and exam findings as part of the clinical scenario.
Progress Tracking
Enables users to monitor their learning journey and goals, track completion progress across various pathways, and save favorite cases.
Physician Tip

Actively engage with the AI professor by asking questions and critically evaluating your diagnostic and management decisions to maximize the learning from authentic clinical scenarios. Leverage the CME credit availability to fulfill professional development requirements while simultaneously enhancing your clinical reasoning skills. Utilize the progress tracking features to identify and focus on areas needing improvement, ensuring a targeted and efficient learning experience.

While the platform provides CME credits through a partner, specific direct integrations with other learning management systems (LMS), electronic medical records (EMR), or third-party medical education tools are not explicitly detailed on the website. The focus is on its self-contained AI-powered case-based learning environment.

Details

Category Medical Education & Training
Pricing Paid, with a free trial
  • CME Basic: $400/year, $16 Amazon gift card per case; CME Premium: $800/year, $30 Amazon gift card per case; CME Elite: $1500/year, $60 Amazon gift card per case
  • All plans include unlimited cases, CME tracking, and gift card rewards
DeploymentWeb-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

Not applicable; the platform is for educational purposes and does not provide medical advice, diagnosis, or treatment.
Integrations
EHR Not specified
Specialties Emergency Medicine, Family Medicine, Internal Medicine

What the Web Says

Case Based Learning (casebasedlearning.ai) is an AI-powered platform designed to revolutionize medical education through authentic case studies. It aims to bridge the gap between theoretical knowledge and real-world clinical practice by presenting users with genuine medical scenarios sourced from published literature and physician experiences. The platform utilizes an AI professor to guide users through cases, provide instant feedback, and help develop clinical decision-making skills.

Overall: Positive

Strengths

  • Uses 100% real medical cases from journals and physician experiences, not AI-generated fictional ones.
  • Provides an AI professor for guidance and instant feedback on clinical decisions.
  • Promotes active learning, critical thinking, and problem-solving skills.
  • Helps users sharpen diagnostic instincts and build confidence for real-life cases.
  • Offers a comprehensive library of authentic cases across multiple specialties.
  • Free to use with no sign-up required to solve the first case.

Limitations

  • Potential for AI 'hallucinations' or providing inaccurate information, requiring users to double-check outputs.
  • Some users on Reddit found traditional case-based learning (CBL) to be a waste of time if poorly structured or if students rely too heavily on searching for answers.
  • AI might simplify the thinking process, potentially reducing the need for students to critically evaluate content for knowledge consolidation.
  • Generating high-quality and diverse cases for CBL can be time-consuming and resource-intensive without AI assistance.
  • Limitations in addressing advanced clinical judgment and ethical reasoning.

Based on reviews from: Case Based Learning.AI, AI-supported case-based learning in medical education: a comprehensive scoping review, Support - Case Based Learning.AI, Case-Based Learning and AI: A New Era for Preclinical Medical Students, Role of AI-supported case-based learning in medical education: a scoping review protocol, AI-supported case-based learning in medical education: a comprehensive scoping review, Case-Based Learning and AI: A New Era for Preclinical Medical Students - YouTube, Case-Based Learning Exercise : r/premed - Reddit, What are your thoughts on case-based learning? - Medical Student General Discussions, Engaging, Interac-ve and Immersive: Transforming Cases-Based Learning (CBL) with the Help - AAMC, The impact of artificial intelligence on case-based learning during pre-clerkship education, What are your thoughts on using AI tools to prepare for case interviews? - Reddit, AI-Powered Problem- and Case-based Learning in Medical and Dental Education: A Systematic Review and Meta-analysis - PMC, Page 14 | Best Online Learning Platforms: User Reviews from July 2026 - G2, Medical Case Library - Case Based Learning.AI

Last updated: 2026-07-21

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Press & Coverage

ResearchGate
AI-supported case-based learning in medical education: a comprehensive scoping review
This comprehensive scoping review maps the current landscape of generative AI tools in case-based learning (CBL) for medical education, highlighting their use in clinical case generation, reasoning support, and structured feedback. The findings indicate that GenAI can effectively support CBL, especially in early and intermediate stages, while emphasizing the continued importance of faculty oversight.
2025-05
PMC
Transforming Medical Training Through Online Case-Based Learning: Brief Review
This review explores the scope and merits of online case-based learning (CBL) as a pedagogical approach utilizing digital platforms and virtual environments to discuss clinical cases with undergraduate medical students. It highlights online CBL's role in improving critical thinking, encouraging active learning, and enhancing accessibility and flexibility in medical education.
2024-04
ResearchGate
Lecturer's Perception of Case-Based Learning in Higher Education
This study evaluates lecturers' perceptions of Case-Based Learning (CBL) in Higher Education, finding that lecturers generally have a moderate perception of CBL strategies but a very positive response to their relevance for 21st-century skills. The research recommends that lecturers apply more CBL strategies to improve student skills.
2024-05
ResearchGate
Case-Based Learning as an Effective Tool in Teaching Pharmacology to Undergraduate Medical Students in a Large Group Setting
This study investigated the effectiveness of Case-Based Learning (CBL) in teaching pharmacology to undergraduate medical students, finding that CBL led to increased student attendance, motivation, satisfaction, and engagement compared to traditional didactic lectures. Most students and faculty supported incorporating CBL into teaching.
2020-05
ResearchGate
Application of case-based learning in medical student education: a meta-analysis
A meta-analysis of 8 studies found that Case-Based Learning (CBL) significantly improved medical students' academic performance and case analysis ability compared to other teaching methods. The study concludes that CBL is an effective active teaching method for medical education.
2020-10
Case Based Learning.AI
Case Based Learning.AI - Home
Case Based Learning.AI is an innovative platform that uses real clinical cases from medical journals and physician experiences, combined with an AI professor, to revolutionize medical education. The platform offers 100% authentic medical scenarios, instant feedback, and a comprehensive library of cases across multiple specialties.
2025-12
University of Puthisastra
International Workshop on AI-Enhanced Case-Based Learning
The University of Puthisastra's Faculty of Dentistry is hosting an International Workshop on AI-Enhanced Case-Based Learning on August 4, 2025. This event is part of a broader initiative by the university to integrate AI and enhance 21st-century skills in its curriculum.
2025-08
ResearchGate
Enhancing Risk Management Education: The Impact of Classroom Simulations and Case-Based Teaching on Student Engagement and Learning Outcomes
This study evaluates the effectiveness of classroom simulations and case-based learning in risk management education, finding that these methods significantly enhanced student engagement and learning outcomes. Future research will explore advanced technologies like VR and AI to further enrich simulation-based learning.
2026-06

Videos

Product demos, reviews, and walkthroughs for Case Based Learning.

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Frequently Asked Questions

CBL can be effectively integrated by utilizing authentic clinical scenarios in small group discussions facilitated by faculty, allowing learners to analyze cases, generate questions, and research solutions. Online learning platforms can further enhance implementation by offering virtual patient simulations, multimedia resources, and tools for both synchronous and asynchronous engagement, accommodating busy schedules.
While specific mentions of CBL are not detailed in accreditation documents, ACCME-accredited providers are required to design CME activities that enhance physician knowledge, skills, and professional performance, which CBL is designed to do. For compliance, ACCME mandates that providers record and verify participation for six years, allowing flexibility in the chosen tracking methods. ACGME focuses on monitoring resident work hours, including educational activities, without specifying a particular tracking method for CBL.
Key alternatives to CBL include traditional lecture-based learning (LBL), Problem-Based Learning (PBL), and Team-Based Learning (TBL). LBL is often more efficient for disseminating foundational knowledge and recall-based information. PBL, with its less structured approach and reduced faculty guidance, may be more suitable for fostering highly self-directed learning and open-ended problem-solving.
CBL can be time-intensive, demanding significant time for case analysis and discussion, and may lead to cognitive overload with overly complex cases. Challenges also include potential resistance from instructors unfamiliar with the method, the need for extensive faculty training, and the substantial preparation required for high-quality case materials. Furthermore, CBL may not be ideal for efficiently covering a broad range of topics or all types of learning objectives.
CBL significantly enhances clinical reasoning, critical thinking, and diagnostic skills by immersing learners in authentic patient scenarios, thereby bridging theoretical knowledge with practical application. This active, problem-solving approach leads to improved long-term knowledge retention and better clinical performance, with studies showing CBL participants excel in application-based and critical-thinking assessments.
Yes, various online learning platforms offer cost-effective solutions for CBL, integrating features like virtual patient simulations, 3D anatomy models, and telehealth case studies. These platforms support both synchronous and asynchronous learning, facilitate group collaboration, and provide tools for tracking student progress and delivering timely feedback. Emerging AI-powered platforms further promise to streamline case creation and delivery, potentially reducing workload and enhancing learning experiences.

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Suggest an Edit → | Last Verified: 2026-04-21 | First Added: 2026-04-21
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