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Healthcare explainer videos cover various topics, including medical conditions, device operations and treatment protocols. These videos aim to enhance understanding, engagement and communication within the healthcare sector, serving as valuable educational tools for both patients and professionals.
Grand Rounds are traditional educational sessions where medical experts present clinical issues, research findings, or case studies to healthcare professionals. Organizations like the American College of Emergency Physicians (ACEP) offer Virtual Grand Rounds, providing free, online training to residents and practicing physicians.
Conversational AI tools have been explored for their potential to assist in medical education. Studies have shown that ChatGPT can perform at a level comparable to medical students on assessments like the United States Medical Licensing Examination (USMLE), providing explanations and answering questions on medical topics.
For example, Virti is an immersive learning platform that utilizes AI to create virtual patients. These simulations enable healthcare professionals to practice clinical scenarios, including patient assessments and decision-making processes.
Medical animations are utilized to explain complex physiological processes, surgical procedures, and disease mechanisms. For instance, 3D animations can depict cellular activities or illustrate the mechanism of action for pharmaceuticals, providing clear and engaging visualizations that enhance comprehension.
eTumour Boards use video content to give physicians an inside look into virtual multidisciplinary tumor board case discussions. These sessions cover various cancer cases, allowing healthcare professionals to gain insights into treatment approaches and clinical trial options, thereby enriching their medical training.
For example, 3D iTeams is a first-person serious video game designed for medical education and team training, developed by Duke University Medical Center and Virtual Heroes. It gives healthcare professionals a virtual environment where they can practice trauma care and improve interpersonal communication skills.
Healthcare leaders like Mayo Clinic are setting the global benchmark in mobile health apps. Their mobile app gives patients access to their medical records, appointment scheduling, and personalized health recommendations. The app also facilitates seamless communication between patients and healthcare providers.
Healthcare providers are integrating AI chatbots into their systems to assist patients with tasks such as appointment scheduling, medication reminders, and answering frequently asked questions. These chatbots provide 24/7 support, improving patient engagement and satisfaction.
Conversational AI systems can monitor patients post-discharge, ensuring adherence to treatment plans and early detection of potential complications. For instance, Laguna Insight enhances interactions between patients and care managers by summarizing key patient information and providing real-time insights.
Hospitals are developing integrated patient portals that consolidate medical records, educational materials, and communication tools into a single platform. This holistic approach ensures patients have easy access to relevant information, fostering a more engaged and informed patient population.
AI-driven chatbots provide accessible mental health assistance by offering immediate responses and coping strategies. Bots simulate therapeutic conversations, offering users immediate support and coping strategies.
For example, the National Health Service (NHS) in the UK employs Multidisciplinary Team Meetings (MDTs) where healthcare professionals from various specialties collaborate to discuss patient cases, ensuring comprehensive care plans. The Mayo Clinic facilitates communities of practice through its digital platforms, allowing specialists to share insights and best practices.
For example, HeRC (at the University of Manchester) delivers over 40 eHealth projects aiming to advance the understanding of specific diseases and improve healthcare services. By integrating data from various services and sources, HeRC builds comprehensive pictures of diseases, facilitating collaborative research efforts.
The American Telemedicine Association is a good example that shows how rural hospitals collaborate with urban medical centers for specialist consultations. The National Institutes of Health (NIH) is another example of collaboration with various hospitals to conduct multicenter clinical trials, pooling resources and data for comprehensive studies.
For example, John Snow Labs has developed an AI-powered tool designed to streamline medical literature research and review. This tool assists researchers and healthcare professionals in efficiently navigating vast amounts of medical literature, enhancing the accuracy and speed of literature reviews.
