We are excited to announce a major new update to Clinical Mind AI, designed to further support medical educators and students in creating rich, flexible, and pedagogically powerful clinical simulations. This release introduces ten new features, improving everything from patient creation to student evaluation.
1. Multimedia Library Integration You can now access a curated library of multimedia files, including EKGs, X-rays, ultrasounds, clinical sounds, and medical images, when building patients or activities. These resources are easily attachable and help enrich your cases. We thank Healthcare Simulation Middle East for facilitating access to this valuable collection.
2. Multimedia Patient Records Patient records now support multimedia files across all categories. Each note in the electronic medical record is automatically timestamped relative to the student’s interaction, ensuring temporal coherence in the case narrative.
3. AI-Powered Case Upload Have an existing clinical case in a document? Simply upload a .txt file and Clinical Mind AI will extract and pre-fill the patient form using AI, highlighting any missing fields for review. No more tedious copying and pasting from previous clinical case scripts.
4. AI-Generated Medical Histories After providing a brief case description and chief complaint, you can now use the “Complete with AI” feature to auto-generate a medically aligned patient history. This draft can be quickly edited and finalized, saving instructors valuable time.
5. Physical Exams and Medical Tests Now Supported Patients can now include physical exams and medical tests. These sections are optional. If no information is provided in any category, the system assumes normal results. These new sections are also integrated with the multimedia library.
6. New Student Interaction Types With the inclusion of physical exams and medical tests, you now have greater flexibility in how students interact with patients. You can determine how complex or simple the interaction needs to be depending on the learning outcomes of the clinical case activity:
Medical history: Students can either read a report or take the history themselves via chatbot.
Physical examination: Students can receive a report, select from a list, or make open-ended requests.
Medical tests: Similarly, students can receive reports, select from a test menu, or make open-ended test requests.
7. Timing of Medical Test Results You can now specify when medical test results become available to students: immediately after the request, later in the same activity, or on a different day, allowing for more realistic case pacing.
8. Evaluation of Student Medical Notes As students interact with the patient, their notes are dynamically added to the medical record. Instructors can now evaluate these notes using a rubric via the “Yes Feedback” feature when creating a clinical case activity. For now, this feedback is mandatory. Optional feedback on case elements will be available in future updates.
9. Activity Settings for Courses Instructors now have more control over the clinical case activities added to a course. You can configure deadlines, timers, retry permissions, and whether the activity is open for student responses.
10. First Release of Course Analytics From the course page, instructors can now access basic analytics, including students’ final scores and the AI-generated feedback. The downloadable data will support initial insights, with a full analytics suite to be launched soon to provide deeper instructional guidance.
We are deeply grateful to all the educators, students, and collaborating institutions who continue to support and shape Clinical Mind AI. Your feedback, insights, and use of the platform are helping us create better tools for clinical reasoning education.
This platform is built through collaboration and it continues to evolve because of you. We remain committed to continuous improvement, research, and rigorous testing in collaboration with universities across the globe.
Thank you for being part of this journey.
The Clinical Mind AI Team at Stanford University
