Mirno develops virtual patient simulation technology for medical training, offering realistic and responsive digital patients. This platform allows clinicians, including doctors and nurses, to practice assessment and decision-making skills more frequently than traditional methods permit. The system features dynamic content creation tools, enabling instructors to easily customize scenarios with accurate physiological simulation.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional medical training often relies on textbook knowledge and limited real-world patient interaction, which can leave clinicians unprepared for the complexities of patient care. Existing simulation methods may lack realism and accessibility, hindering the development of critical decision-making skills and team collaboration in high-pressure scenarios.
Solution
Mirno provides virtual patients with accurate symptoms and behaviors, enabling clinicians and students to engage in dynamic medical training scenarios. The platform allows physicians and instructors to create their own cases and training scenarios, adjusting the intensity of symptoms and vitals to create accurate and life-like virtual patients. Mirno's technology facilitates increased training frequency and capacity, offering a complement to existing training methods. The virtual patients put decision-making into a human context, offering realistic medical microlearning designed to fit into busy schedules.
Target Audience
Mirno's primary audience includes pediatric clinicians, medical students, physicians, instructors, and nursing leaders seeking realistic and accessible medical training solutions.
Features
- Realistic virtual patients featuring accurate symptoms and behaviors informed by expert clinicians
- Dynamic training content creation around real-time physiological simulation
- Maia, Mirno AI Assistant, enables users to simply describe the symptoms the patient should exhibit and they will be added to the scenario
- Cinemedic product improves collaborative learning, allowing medical students to assess and treat the symptoms of virtual patients
- Virtual consultations powered by AI