The grant helps Learnroll in internationalizing, trade export services for product and service smarket fit in healthcare solutions.The global impact of COVID 19 has made it essential to train various allied workers, nurses and physicians with newer technology aids that help in higher productivity, retention and saves cost over traditional techniques.

The grant also helps in showcasing our products/solution to various stakeholders in health and medicine. The grant will help us outreach our US product to various global market that may value quality innovation using newer emerging technologies with Generative AI.

This comprehensive platform combines immersive technology with intelligent design and voice to create a learning experience that is not just engaging but profoundly impactful for students, physicians and medical course creators like higher educational institutions, healthcare & medical device manufactirers, and medical organizations.With features such as a sophisticated 3D viewer with haptics enabled, Slide viewer with CT/MRI images viewer Interactive quizzes for formal credentialing or in-house competency, and life science labeling exercises for anatomy, pathology, pharmacy courses and more.

ClassImmerse stands poised to transform the landscape of medical education making short micro-learning enabled courses especially for the next generation millennial and Genz.

Core Features of ClassImmerse:

• 3D Viewer: The 3D viewer is the cornerstone of the ClassImmerse experience, offering an immersive exploration of medical models like human anatomy that transcends the limitations of traditional learning methods. Users can navigate through detailed, accurate models with descriptions and ability to “sense” the models with haptic controllers examining them fully interactive 3D spatial space. This tool can enhance learning example in Anatomy Education not only comprehension of spatial relationships between body parts but also encourages curiosity-driven exploration, making it an invaluable resource for both students and professionals.
• Slide Viewer: You can review and integrate 2D images like CT/MRI images, Videos, provides an unparalleled opportunity to examine and interact in-house and other imported images and videos from PACS and LMS or 3^rd party archives. This feature brings each interactive media with context data in a slide-based format with description in text. By integrating these real de-identified patient images into the learning process assist in learning for healthcare. ClassImmerse ensures that users gain practical skills and insights that are directly applicable in a clinical setting.
• Timed Interactive Sections Quizzes: Knowledge assessment is an integral part of the learning journey, and ClassImmerse incorporates a timer for assessing time and timed interactive quizzes to help in preparation for formal credentialing courses with summary that determines course time. These quizzes are designed to provide immediate feedback, allowing learners to identify areas of strength and opportunities for improvement. Most of the multiple-choice questions are an effective tool for consolidating knowledge and preparing users for actual exams. We plan to add scenario based simulations to help students make medical decision-making.
• Practice Labels: Labelling in life sciences especially of anatomical structures and diagnostic findings, ClassImmerse offers an innovative practice labels feature. This interactive exercise encourages learners to apply their knowledge by labeling parts of the body. Such hands-on practice not only enhances learning retention but also sharpens diagnostic labelling skills, making it easier for users to apply their knowledge in practical settings. The ability to match labels also provides brain training than memorization or rote learning methods to various specialities like Anatomy, Pharmacology and more.
• Generative AI for Course Building and Leveling: Our latest integration is a design tool for ClassImmerse's technological suite using generative AI, designed to easd of creation of educational content with Summarization, Image to Text, Headers, Label, Description. This AI leverages the latest advancements in machine learning to automatically generate and customize course material based on specific learning objectives, user performance, and evolving medical knowledge. The course template helps in a dynamic approach to course building that not only saves time and resources but also ensures that the framework adopts to peer reviewed curriculum based on components essential for learning.
• Digital Badges with Gamification Integrating digital badges with gamification into educational platforms, corporate training programs, or health and wellness apps is an effective strategy to enhance engagement, motivation, and achievement recognition. Digital badges serve as visual symbols of accomplishments, skills, or milestones reached by users. When combined with gamification elements, they can significantly boost participation, learning outcomes, and user satisfaction. SUMMARY shows and reviews badges for the entire VR course which are repeatable and can be recorded for analysis.

The Classroom experience can be extended to any virtual space like a lab, medical patient room or even a home – A “Classroom” is where the learning may take place

The Impact of ClassImmerse on Medical Education:

ClassImmerse is more than just a technological tool; it is a comprehensive learning solution that addresses the multifaceted challenges of modern medical or health education. By integrating immersive VR technology with intelligent, adaptive micro-learning short courses, ClassImmerse offers a deeply engaging and effective time saving educational experience that is both scalable and customizable.

The platform's focus on interactive, experiential learning addresses a critical need for hands-on training in the medical field, where three dimensions is crucial. Moreover, the inclusion of real diagnostic images as learning tools bridges the gap between theoretical knowledge and clinical application, preparing learners for the complexities of patient care.

Generative AI stands as a transformative force within ClassImmerse, automating the creation of personalized learning paths that adapt to the evolving needs of the healthcare industry. This not only ensures that the content is always current but also aligns with individual learning styles and paces, making medical education more accessible and effective.

Conclusion:

ClassImmerse represents the next generation of medical education, where immersive technology, intelligent design, and personalized learning converge to create an unparalleled educational experience. For B2B clients in the health and medical education sectors, Classimmerse offers a powerful tool to enhance their training programs, improve learning outcomes, and ultimately contribute to the advancement of healthcare education.

New devices that enhances visualization and uses spatial immersion to engage, implements various modalities like audio, voice, videos, avatar conversations.The same naming conventions has been seen with recent technology companies using Gen AI to use "AI" for vertical solutions that leverage big technology powered stacks.

There has seen rapid evolvement of these emerging technologies and a center point in many use cases for many industries using "AI" to showcase its artifical intelligence capabilities.For us the use has been very experimental based on use cases as below. the systems are not in production but in experimental or pilot uses on a need by need basis with toolkits aid.

Development Perspective
-The use of Chat GPT 3.5/4.0 has been in testing the use of LLM assistive to generate images, text, summarization and other customization
for Classimmerse which is a framework to create VR immersive content for medical/health educationn integrated with Voice and Haptics capabilities.

The use of AI may have more potential than that we have experimented with in delivering spatial experiences.
-Gen AI will be optionally available as a toolkit to improve the ability to customize and generate level based content, using pre-trained models and cost effective usage.
-We will be using ArborXR a SOC2 compliant MDM to allow B2B bulk deploy of customized experiences. The pre-packaged versions will be securely
deployed as demos for enterprises/institutions who may want to review the platform features for both native and web based solutions.The VR native version do not require internet after it is downloaded.
-XR : The Quest 2(by Meta) is still our primary choice of headset for Native, and we will look to see the potential of Quest 3 in future which uses Snapdragon with Gen AI. Our strategy has been to use Gen AI as an option. The Classimmerse designer portal is part of our roadmap in 2024. Classimmerse currently has updated basic features for undergraduate education with a new spatial audio system and has plans to enhancement based on investment roadmap for better haptics to align to skills training for suturing, wound training, blood pressure measurement, pulse rate measurement or more.
In terms of other Gen AI capabilities we have experimented with is Meta LLAMA2(small models), Google Palm 2 Legacy LLM(medical conversations) and Open AI(LLM GPT).

In Conversation Gen AI space, we created a highly specialized  contextual patient  with a pre-condition (specifically meant for training not real time uses). You may review a short demo in our solution page

One of the biggest challenges of Gen AI is for use of appropriate security/privacy guardrails and compliances. We use both GCP and AWS for healthcare compliances in cloud and storage including other self-hosted systems.

Use case perspective
The use cases perspectives of solutions is also dependent on how healthcare in US and worldwide adopt new tech enabled solutions.
While we still find resistance to adoption with more experienced professional, the younger Ganz and Millennials in workforce are looking forward to  new changes that provides value based learning and reduces burnout. Learnroll team has been consistently integrating reviews and feedbacks from actual user community - higher education students, nurses and physicians in training, vocational users, patient especially women
who do not get optimal care at their clinical visits.
Women healthcare though exists as a domain does not have personalization as needed. Self care help for patients to prevent diseases must be
encouraged for chronic diseases management for conditions like CVD(Cardiovascular Disease). Many patients can prevent diseases and reduce high costs of healthcare expenses proactively with education and training.
The new GenZ also deserve better tools in workforce to reduce time to train, increase productivity and learning based on their generation needs ; aligning to shorter time to engage and learn.

Agile Methodology

We use Lean Safe aligned methodology to help in aligning products with actual business needs. The LEAN SAFE methosology aligns few essential best pracices so that small lean teams can build capabilities for larger organizational domains following iterative approaches.

What if we found ourselves building something that nobody wanted? In that case, what did it matter if we did it on time and on budget? —Eric Ries

Methodology excerpt and copyright info below

1) EVALUATE - Design Thinking Approach - Identify the customer benefits first from various stakeholders.

2) BENEFIT HYPOTHESIS The Lean UX approach uses benefit hypothesis . Avoid Big Design Up-front (BDUF), focusing on creating a hypothesis about the feature’s expected business result.

Classimmerse solution has been piloted with various audiences over few years to find product-market fit and features that are "must have" for business.

3) COLLABORATE on Design with not just internal technical or advisory team but with various diverse stakeholders including the consumers.

4) BUILD Implement and test that hypothesis incrementally with iteravtive demos, pilots and trial deployments with heuristic evaluation, heatmaps/A/B testing and focus group feedback.

Learnroll LLC uses best practices modified and aligned with Lean Agile and Lean UX processes based on SAFE Agile.

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Disclaimer- The article may have errors or omissions and expresses our team opinions and viewpoints. The above article/blog post is human created. 

With the integration of advanced technologies and evolving medical practices, the debate between micro-credential courses and traditional degree programs has become more relevant than ever. This post delves into how these divergent paths shape the competency of healthcare professionals in an era of rapid innovation.

The Rise of Micro-Credential Courses in Healthcare

Micro-credentials: Tailored Learning in a Digital Age

• This creates laser focus learning paths or intensive courses focused on specific skills, and utilizing VR simulations and AI-based learning modules enhances productivity.
• Advantages of the courses offered in-house or externally offer high flexibility in time to deploy and are in sync with continuous advancements in needs of upskilling, allowing practitioners to stay abreast of the latest techniques, discoveries, and trends. It also helps students train progressively prior to formal credentialing exams. The time involvement in these short 30 to 45 minutes courses provides high ROI.
• Applications: These applications can be varied from anatomy education to nano-degree programs in healthcare pharmacology, robotic surgery, genetic editing, and AI-driven diagnostics.

Degree-Based Programs: The Traditional Pillar

Degrees: Deep Dives into Medical Science

• Most degree programs are comprehensive, in-depth programs covering a wide spectrum of medical knowledge, from theoretical foundations to clinical applications.
• The impact of degree is crucial too as it provides a holistic understanding of medicine, healthcare and crucial for roles involving research, policy-making, and holistic patient care.

Comparative Analysis: Adapting to the Needs of Modern Healthcare

• Skill Development: Micro-credentials offer rapid skill acquisition, while degrees provide a thorough understanding of medical sciences and careers.
• Time and Cost: Micro-credentials are time-efficient and less costly, whereas degrees require a significant time and financial investment. Degrees provide the basic base and micro-credentials are supplemental education needed to show proficiency in various skills in career over the time.

The Future of Healthcare Careers

How do we blend learning paths for optimal outcomes ?

Balancing Short-Term and Long-Term Goals is dependent on individual career objectives - immediate skill enhancement vs. long-term career development.

Healthcare Heroes –There is no single path to successful careers – we have seen so many such inspiring stories in healthcare via social media or news channels.

Conclusion: Personalized Paths in 21st Century Healthcare Education

Every healthcare professional's journey is unique and so is his/her learning paths. In this century, where technology is inseparable from healthcare, the decision between micro-credentials and traditional degrees should align with personal career aspirations and the ever-evolving demands of the healthcare careers with evolving aspirations of the Genz and Millennials. There is no measurement of competencies needed, comepetencies acquired with learning outcomes of providers, caregivers and patients. 

Embracing the Future for Learning Pathways

• Open-Source Badges: Open badges (Classimmerse) are open source badging systems that allow tracking of competencies using “badges” with metadata and provide information on skills and achievements. They can be verified by employers electronically. They can also be created quickly for specific programs example a detailed deep dive on a specific skill required for a workforce safety competency example infection control.

Join the conversation on how we can collectively shape the future of healthcare education to meet the challenges and opportunities of the 21st century.

The influx of generative AI in education and training had added dimensions of opportunity but has also initiated the need for building responsible and safe AI solutions.

1. Security First approach is to address security and privacy needs of applications that may scale from pilots to enterprises. Working on newer technological approaches to cybersecurity readiness will also help us in optimizing our risk plan.
2. The technology landscape is complex as applications, devices, integration and managing security architectures to proactive stance is critical versus reactive – fix it when it happens.
3. Generative AI is a key area where many edtech are looking to use – the critical use must ensure the responsible and ethical use. The Global AI framework requires policy, independence, safety at all levels to be truly free of hallucinations, copyrighted data, bias and inclusivity in the data that is trained on. Some of the key development for emerging edtech will be on more on automations or Q&A. Most Edtech may focus on content summarization, levelling, grading and Q&A.
4. The application use cases also most prevent vendor lock in and allow ease of use across various technology stacks, standards and changing business needs.
5. The management of sustainability is also core and AWS stack also provides annual CO2 emissions usage which helps in assessing costs of responsible infrastructure uses.

Disclaimer – The article is NOT generated using AI and is based on our team member opinions/thoughts and may have errors/omissions.