2024 has seen the continued growth of Artificial Intelligence, or AI, which has and will continue to impact every single industry in the world, including medical simulation. In this article, we recap the top 10 HealthySimulation.com clinical simulation articles discussing the incorporation of AI, covering topics from, and more. Reviewing this 2024 AI content from HealthySimulation.com will help healthcare simulation programs improve their comprehension and utilization of AI in 2024 and beyond.
14. AI as Preparation for Board Exams – A Successful and Enduring Case Study of SimConverse AI in Optometry: Optometry programs across the US are faced with an urgent problem following the introduction of a new board exam component that tests communication skills. SimConverse AI is already being used as a viable solution nationally. In-line with a trend spanning nursing, medicine and allied health, the National Board of Examiners in Optometry (NBEO) has moved to introduce an OSCE-style licensure exam component. Nurses reading along will still recall the dramatic change of Next-Gen NCLEX & Doctors are bracing, preparing for the re-introduction of STEP 2 CK. This HealthySimulation.com article will highlight the results of optometry’s success with SimConverse utilization.
13. Lumeto Introduces InvolveXR AI Characters: The First Customizable AI-Enabled Virtual Patients: Lumeto, a leader in immersive learning technology, has once again pushed boundaries with healthcare simulation’s first customizable AI patients with InvolveXR AI Characters. InvolveXR AI Characters revolutionizes the way users immerse themselves in a world of lifelike virtual patients that can replicate high-fidelity patient simulations and standardized patients. This new AI feature from Lumeto blends advanced artificial intelligence with virtual reality (VR) that offers learners and simulation programs scalable, cost-effective interactive experience unlike any other. This HealthySimulation.com article will explore the key elements and advantages of Lumeto’s InvolveXR AI Characters. Register for tomorrow’s HealthySimulation.com webinar on Using AI and Bloom’s Taxonomy to Create Adaptable XR Clinical Learning Experiences to learn more!
12. AI-Driven Real-Time Design of Serious Games for Healthcare Simulation: In a field that evolves as rapidly as healthcare simulation, the integration of artificial intelligence (AI) with serious games presents a transformative opportunity. This innovative approach allows for the dynamic design and adaptation of educational games in real-time, which offers unprecedented levels of personalization and effectiveness in medical education. For healthcare simulation professionals, implementation of these tools can bring about excitement and challenge. This article by Rémy Roe, Ph.D. and Simulation Technology specialist at Stanford University’s Center for Immersive and Simulation-based Learning (CISL) will explore the potential of AI-driven serious games in healthcare simulation through four key aspects: what this technology is, benefits for healthcare simulation, potential applications, and considerations for implementation.
11. AI Impact: Using Intelligent Tutoring Systems in Healthcare Simulation: Simulationists and administrative leaders of simulation programs benefit from understanding how intelligent tutoring systems work. This HealthySimulation.com article by Melissa Jo Tully, MHPE, RN, CPHN, will review the integration of Intelligent Tutoring Systems (ITS) with Virtual Reality (VR) and Virtual Live Video for Healthcare Simulation. ITS are revolutionizing healthcare education, offering personalized, immersive, and scalable training methods that elevate the quality of care through competency assessment and one-on-one feedback given by the best instructional method.
10. Impacts of HealthStream jane AI on Nursing Objective Assessment and Clinical JudgmentThe challenge for educational programs, both academic and practice, is the limited number of educators to learners. There may be one educator to 1,000 nurses or more in clinical practice. This makes individualizing professional development and learning. There are limited hours, skills practice space, and simulation space. To meet the learning needs, a structured curriculum is used to educate the masses without consideration for the learner’s knowledge or experience. So, how do you address the need, limited resources, and individualization? The answer is HealthStream’s jane AI to improve nursing objective assessment and clinical judgment wherever the learner’s starting baseline. This HealthySimulation.com article will explore how jane AI impacts learning-based nursing objective assessment and clinical judgment.
9. Early Adoption of PCS SimVox AI Speaker Deemed Invaluable for FSU: PCS (Patient Communication Simulators) is a simulation technology and software engineering company that has been operating since 2015, specializing solely in healthcare simulation products driven by artificial intelligence (AI). PCS launched their 4th AI-driven product, SimVox in October of 2023. SimVox, the new AI speaker instantly and affordably adds innovative patient communication training technologies to any low-fidelity manikin. This HealthySimulation.com article will explore Florida State University College of Nursing’s purchase and integration of SimVox.
8. HealthStream’s jane AI – Individualized Competency-Based Validation and Assessment Program: HealthStream’s jane AI is a new Artificial Intelligence tool to help measure clinical judgment, offer clinical development analytics, and personalize competency development for nurses and other clinical teams. jane AI will help healthcare organizations assess discover where their nurses excel and where there’s opportunity for improvement, focus learning to improve competence, and provide insights on clinical performance and potential risk areas. This HealthySimulation.com article by Jill Benns, RN, MSN-MBA-HCM, NPD-BC, will address competency based nursing and HealthStream’s jane AI for individualized competency-based validation and assessment program.
7. Easier Than You Think: Bringing Generative AI into Clinical Simulation: Join Nick Stoick and Read Blumberg as they provide a fast-paced, straightforward demonstration PCS simulation products that can deliver Generative AI to your learners. This will possibly be the most direct and time efficient webinar hosted by a vendor that you will attend in 2024. Look, here’s what they won’t be doing: reiterating the known value of simulation education, discussing learning theory, or restating the importance of curriculum design. Here’s what these two, no-nonsense, straight-shooting experienced simulation consultants will do: for only 30 minutes, actively demonstrate PCS’s product offering so that you walk away with a better, more complete understanding of Generative AI in PCS products, how they’re currently used, and where they might best fit into your center. And then, take your questions for 30 minutes. This might be the most valuable 30+ minutes you spend investigating one company’s simulation portfolio this quarter.
6. Purdue Global Shares How VR and AI are Driving Nursing Student Success: Since Purdue Global began integrating virtual reality (VR) into its nursing program, approximately 4,000 graduate nurses have benefited from this innovative approach. The data for graded simulations within the first year demonstrated that 92% of students self-reported that using PCS Spark helped prepare them for clinical practice. Join us for an insightful webinar featuring Abbey Elliott and Kim Burtch from Purdue Global, where they will delve into their pioneering use of VR in the nursing curriculum. During this session, Abbey and Kim will share key highlights of their journey, including the successes and challenges they have faced. They will provide an in-depth look at the lessons learned and how these experiences have shaped their approach to nursing education.
5. The Impact of Objective Assessments and Clinical Judgment in Nursing with AI: In today’s nursing landscape, there exists a pressing need to refocus attention on the critical aspect of clinical judgment. This presentation dives into the essence of clinical judgment in nursing, emphasizing its pivotal role and relevance and how many of today’s current assessments fail to properly evaluate this crucial part of competency development. Furthermore, the webinar presenters will explore the profound impact of objective and validated assessments, drawing on decades of data collection to highlight their transformative effects. Additionally, the discussion extends to HealthStream’s Jane AI as a cutting-edge artificial intelligence (AI) tool, showcasing its efficacy in identifying competency gaps and personalizing developed plans at scale. Join us as we unravel the intricate dynamics shaping modern nursing practices.
4. Using AI and Bloom’s Taxonomy to Create Adaptable XR Clinical Learning Experiences: AI and XR has been all the buzz recently and many educators have already started leveraging these new technologies for improving learning experiences. In this virtual learning lab, Elbert Waller, MSc, CHSOS, will demonstrate how he’s leveraging the industry-first customizable AI Characters and assessment tools, combining these with his decade-long simulation and clinical experience to create AI-powered asynchronous and synchronous learning experiences on Lumeto’s InvolveXR platform. Participants will also see a demonstration of two different AI systems – a Conversational AI that powers a realistic patient conversation, including verbal and non-verbal responses, and an Artificial Clinical Evaluator that automates checklists and assessments. Both systems can be customized using just plain text. The presentation will also showcase novel ways of using AI-enabled patients to adapt learning experiences on-the-fly and to onboard users into VR. Use cases of how institutions are delivering powerful learning experiences using the AI capabilities of InvolveXR will also be showcased.
3.Adding Generative AI to Any Patient Simulator with SimVox Smart Speaker: Patient simulators are an essential tool for simulation-based education and training in healthcare. However, most patient simulators lack the ability to speak and communicate with the learners, which limits the realism and immersion of the simulation scenarios. SimVox is the smart speaker for your simulator that leverages generative AI to act as the voice of patient simulators.
SimVox can generate realistic and natural speech for any patient simulator, based on the patient’s condition, symptoms, emotions, and personality. SimVox can respond to the learners’ questions and comments, and provide feedback and guidance during the simulation. With SimVox, you can either run included patient scenarios that cover a wide range of clinical situations and domains, or create your own scenarios by providing a patient concept document that describes the patient’s profile, history, and diagnosis.
2. Transform Medical Simulation Education Curriculum with Generative AI and VR: This unique webinar session aims to explore the transformative potential of Generative Artificial Intelligence (AI) and Virtual Reality (VR) in shaping the future of medical simulation education.
Integrating Generative AI: Explore how Generative AI can create dynamic, personalized learning content tailored to individual student needs. Real-world Success Stories: Learn from experts about successful AI and VR integration in medical education, gaining insights and best practices.Overcoming Challenges: Address common challenges in adopting XR technologies and discover strategies for successful implementation within various educational settings.
Interactive Q&A Session: Engage with our speakers in a live Q&A, receiving personalized advice for incorporating Generative AI and VR into your curriculum.
1. Designing Medical Simulation Scenarios with AI and ChatGPT: Artificial Intelligence (AI) has been a hot topic since the introduction of ChatGPT in late 2022. This presentation will examine how to use the online program to create clinical simulation scenarios. The presenter will draw on their team’s experiences, including their recently published research outcomes, to describe the capabilities and limitations of this form of AI in medical simulation. The presentation will examine its uses including a live demonstration of the generative AI. Additionally, the presenter will review other uses for AI, such as ChatGPT, in clinical simulation. The presenter will also list the limitations of the AI technology with regards to the support of healthcare simulation curriculum, scenario, and learner experiences, including copyright issues, biases, and hallucinations (fictitious responses).
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