Patient education is an important part of medical care. It helps people learn about their diagnoses, treatment choices, and how to take care of their health. Traditional ways like pamphlets, talking, and videos have limits. They can be hard to use when explaining difficult medical ideas or keeping patients interested.
Augmented reality (AR) and virtual reality (VR) give new ways to share this information. AR puts digital images and data over the real world. This lets patients see body parts or diseases right in the exam room. VR puts patients in a made-up world where they get guided explanations or health lessons in a more hands-on way.
For example, the College of Public Health at George Mason University made special VR scenes using the SimX platform and Oculus Quest 2 headsets. These scenes show health situations like opioid abuse and LGBTQ2+ healthcare. These experiences help patients better understand and feel for their health issues. They also help healthcare workers teach their teams.
But using this technology in clinics has some challenges. These include the cost of VR gear, the time needed to make patient-focused content, and training staff to use the tools well.
Hands-on training is key to building skills for healthcare workers. Usually, simulation labs use mannequins or actors, but these have limits. They cannot offer many different or large-scale learning chances.
VR and AR create real-like clinical scenes without risks or using lots of resources from real practice. George Mason University’s VR/Sim Lab is an example. It has over 1,500 square feet with VR gear to help train nurses and healthcare teams.
Certified Healthcare Simulation Educators (CHSE) design training scenarios on topics like medical-surgical nursing, opioid addiction, and culturally sensitive care. Students practice procedures, making decisions, and talking with patients in an inside-the-scene setting. This prepares them for real work.
A main challenge for using more VR simulation is having enough space. Students usually need 24 to 36 square feet each to use VR well. Making content is also expensive and needs teamwork with tech companies like SimX. Still, schools are putting money into certified teachers to run these simulations.
Although VR and AR labs are new in many places, research shows more teachers and students accept them. They point to chances for better learning with interactive and realistic experiences.
Good public health communication means sharing clear, proper, and easy-to-understand information for all people. AR and VR are starting to help with this by making health messages more exciting and easier to understand.
Using moving images and stories you can interact with, these tools talk about health problems like substance abuse, infectious diseases, and ways to stay healthy. VR public health scenes can show what happens after certain lifestyle choices or environmental effects. This builds empathy and deeper awareness of health risks.
Besides this, AR and VR can help reach out to communities by supporting many languages and being inclusive. Public health campaigns use simple language and adjust content for people with different needs, including those with limited health literacy or different learning ways.
The College of Public Health at George Mason leads in using these technologies for public health teaching and outreach. Their work matches wider trends where AI helps make custom content and translations. This helps fix language problems and makes health info easier to get for everyone in the U.S.
Artificial intelligence (AI) and workflow automation help make AR and VR in healthcare work better. For example, Simbo AI uses AI to automate phone services and answering systems. This shows how AI can make some office tasks easier while working with clinical jobs.
In healthcare, AI tools do things like review research papers, customize what is shared, and offer real-time help in many languages. This makes communication better between doctors, patients, and the public. For example, AI helps create specific teaching scenes used in VR labs by checking patient info and learning goals. This cuts down time to make content.
AI also helps combine different data sets from clinical trials and digital health tools. This is important to study how well VR training and patient education work. It lets healthcare leaders get correct and real-time info to make choices.
Automatic workflows from AI also help with patient actions. Virtual helpers and AI call services can book appointments, send reminders, and give simple health facts. This lowers work for staff and makes it easier for patients to get help. Linking AI with AR/VR training and teaching platforms can lead to smoother and more patient-focused healthcare.
Healthcare managers, practice owners, and IT teams in the U.S. need to think carefully when using AR/VR and AI. These tools can improve patient learning, provider training, and public health work. But they need good planning.
Using AR and VR in U.S. healthcare and public health is still growing. More money and partnerships show steady progress. The College of Public Health at George Mason University is putting $10 million into growing VR learning, showing their support for these tools. Working with companies like SimX helps make useful content.
Studies show immersive tech can help people understand and remember info better. AI and automation add to these by speeding up making content, translations, and managing workflows.
For healthcare managers and IT staff, it is important to match technology use with their goals, patient needs, and staff skills. Doing this helps make sure AR and VR add value to care, education, and communication.
This article gives a detailed look at how augmented and virtual reality are used for patient education, lab training, and public health in the U.S. When combined with AI and automation, these tools offer ways to update and improve healthcare experiences for both providers and patients.
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