Protected: Learning at Scale, with Purpose: What We’re Focusing on in 2026

The Future of EHR Training: How Intelligent Learning Drives Clinician Confidence and Reduces Burnout

Anne Hyland, Vice President of EHR Learning, Amplifire

EHR training is no longer about teaching clicks and workflows. Across healthcare organizations, training has become a strategic driver of clinician experience, adoption of AI-enabled workflows, and organizational readiness for an increasingly complex regulatory and cybersecurity environment. Health systems that treat training as an afterthought will struggle to realize the full value of their EHR investments.

At Amplifire, we see EHR training as a catalyst for measurable improvement in efficiency, confidence, and clinician satisfaction. The evolution of healthcare technology, combined with workforce pressures, makes a modern approach to learning essential. 

Virtual and Asynchronous Learning Is Now the Standard

The continued shift toward virtual and asynchronous training reflects the realities of clinical practice. Nearly 70 percent of clinicians report that self-paced learning is effective, according to KLAS. Rigid, one-size-fits-all training models are increasingly incompatible with the pace and pressure clinicians face every day.

However, asynchronous delivery alone is not enough. Training must be intelligent. Effective programs identify what users already know, pinpoint knowledge gaps, and focus learning only where it will materially improve performance. Amplifire’s adaptive learning approach ensures clinicians spend time where it matters most rather than repeating information they already understand. 

AI-Powered Documentation Requires Smarter Training

One of the most significant shifts in EHR use is the rapid adoption of AI-powered documentation tools, including ambient documentation and virtual scribes. While these technologies promise to reduce administrative burden, they also introduce new risks if implemented without thoughtful education.

Clinicians must understand how to validate AI-generated content, maintain regulatory compliance, and retain clinical accountability. Training must therefore move beyond simple feature education and focus on responsible AI use. Scenario-based learning helps clinicians develop the judgment required to work effectively with these tools while maintaining trust in the documentation process.

Microlearning That Respects Clinician Time and Expertise

Microlearning has emerged as one of the most effective ways to engage clinicians. Short, targeted modules combined with focused courses align far better with real-world schedules than traditional classroom sessions.

Effective training also recognizes that EHR use varies significantly across specialties. Role-specific content feels more relevant to clinicians and improves both engagement and efficiency. By respecting existing knowledge and targeting inefficient habits, adaptive learning delivers education that feels practical and immediately applicable to clinical work. 

Cybersecurity Training as Risk Reduction

As cyber threats grow more sophisticated, the importance of effective security training continues to increase. Phishing attacks, ransomware, multi-factor authentication requirements, and evolving HIPAA regulations demand ongoing education rather than annual compliance exercises.

Training has become a frontline defense. Adaptive learning helps organizations reinforce correct behaviors, identify areas of risk across roles, and deliver targeted education that strengthens overall security posture.

Preparing Clinicians for Telehealth and Remote Monitoring

Telehealth and remote patient monitoring continue to introduce new documentation and workflow requirements. Virtual care environments require clinicians to manage device-generated data, document care interactions appropriately, and maintain continuity of care across digital and in-person settings.

These workflows are not intuitive extensions of traditional practice. Focused education is necessary to ensure accuracy, compliance, and efficiency while minimizing additional administrative burden.

The Next Phase of EHR Training

As healthcare technology continues to evolve, AI literacy is becoming a central competency for clinicians. Health systems are defining frameworks for responsible AI use and ensuring that clinicians understand how to interpret AI-driven insights within their workflows. Success increasingly depends on effective collaboration between clinicians and intelligent systems.

At the same time, regulatory and operational changes will continue to introduce new workflow requirements. Electronic prior authorization mandates, expanded automation, and evolving cybersecurity standards will require structured training to avoid delays, errors, and staff frustration.

One-time interventions are no longer sufficient. Continuous, adaptive learning strategies are becoming essential for maintaining proficiency in a rapidly changing clinical environment.

Training That Improves Satisfaction and Reduces Burnout

At Amplifire, our goal is to make EHR training more efficient, more effective, and more human. By respecting existing knowledge, correcting inefficient habits, and focusing education where it matters most, organizations can improve both proficiency and clinician experience.

The connection is clear. Better training leads to higher EHR satisfaction, and improved satisfaction contributes directly to reduced clinician burnout.

As EHR systems become more intelligent and more embedded in clinical decision-making, training will determine whether technology becomes a burden or a true partner in care delivery. Organizations that invest in intelligent learning will be best positioned to ensure their clinicians are confident, capable, and ready for what comes next.

Anne Hyland is the Vice President of EHR Learning at Amplifire.  With over 30+ years in learning and development, including in healthcare IT and EHR implementation, education, and change management, Anne is passionate and committed to both the learner experience and the organizational impact of effective learning.

Amplifire Recognized by Brandon Hall Group for Breakthrough AI Authoring Technology

BOULDER, Colo., Feb. 3, 2026 /PRNewswire/ — Amplifire, the leading adaptive learning platform built on patented brain science, has been honored by Brandon Hall Group with two bronze awards in the 2025 Excellence in Technology Awards for Best Advance in Content Authoring Technology and Best Advance in AI for Business Impact. The recognition highlights Amplifire’s continued innovation in solving critical training and workforce development challenges with AI-powered tools that deliver measurable impact.

At the core of this recognition is Amplifire’s latest AI-driven authoring platform. Released as part of Version 8.0, the platform delivers an intuitive, end-to-end course development experience that empowers instructional designers and subject matter experts to accelerate training while improving accuracy and trust. New capabilities include AI-generated course planning, integrated storyboarding, smarter refinement tools, and advanced content verification. These enhancements are helping teams reduce development time by weeks while maintaining the rigorous standards required in high-stakes industries like healthcare, accounting and aviation.

“We built AI authoring capabilities that deliver step-change improvements in speed without sacrificing the accuracy required in mission-critical environments,” said Nitin K. Walia, President of Amplifire. “The result is training learners can trust, improved knowledge retention, and better workplace performance. We’re grateful to Brandon Hall Group for recognizing these innovations and the results our customers are achieving.”

Amplifire’s clients are already seeing results. Devan Berkley, Senior Training Specialist at UW Medicine, said, “It used to take two and a half, almost three months to create a new training course. Now we’re doing it in just two weeks. That’s not just a technology win, it’s a workforce win.”

Built on more than 5 billion learning interactions and trusted by leading health systems, Amplifire uses patented confidence-based learning to surface Confidently Held Misinformation™ and deliver actionable analytics. Its flexible, AI-supported authoring platform makes it easier than ever to scale personalized learning for onboarding, compliance, career laddering, and more.

About Amplifire

Amplifire is the world’s leading adaptive learning platform, built from patented brain science discoveries and informed by billions of learner interactions. Its AI-powered tools help organizations reduce costs, save time, and improve outcomes through smarter, personalized training. From EHR onboarding to clinical risk reduction, Amplifire partners with high-stakes industries to elevate performance, safety, and satisfaction.

Learn more at www.amplifire.com

About Brandon Hall Group™ 
Brandon Hall Group™ is the home of the HCM Excellence Awards® – the most prestigious and sought-after awards in Human Capital Management. For over 30 years, these awards have set the gold standard in recognizing organizations for innovative and effective HCM practices across Learning and Development, Talent Management, Leadership Development, Diversity, Equity & Inclusion, Human Resources, Sales Performance, and Technology.

Source: PR Newswire

AI-Powered Adaptive Learning and ServiceNow Integration, Delivering 50% Faster Onboarding for Stanford Health Care

Stanford Health Care reimagined Epic EHR onboarding with Amplifire’s adaptive learning platform, achieving breakthrough results that transformed their clinician training program. By integrating brain-science-based learning with ServiceNow automation, Stanford created a personalized, data-driven experience that dramatically accelerated time-to-competency while reducing instructor workload.

Amplifire’s Confidence-Based Learning^® methodology identified and corrected Confidently Held Misinformation™ (CHM™)—where clinicians were confident but incorrect preventing costly errors before they reached patient care. The platform’s real-time analytics automatically flagged struggling learners and generated support requests, enabling targeted interventions precisely when needed. Through seamless workflow integration, Stanford delivered customized learning paths that honored prior Epic experience while ensuring mastery of critical clinical workflows.

The results speak for themselves: 50% reduction in onboarding time, getting clinicians to patient care twice as fast. A 20-30% decrease in education processing hours freed instructors for high-impact coaching. Knowledge base engagement jumped 13%, reflecting improved resource access and relevance. Across roles from inpatient nurses to specialty providers, Stanford corrected 14-25% of CHM™ while achieving 8-17% higher retention compared to traditional training. This wasn’t just faster training—it was smarter, more effective preparation that elevated both clinician confidence and clinical accuracy.

Read the Case Study

Taking AI Authoring to the Next Level: See What’s New 

Since launching AI authoring capabilities, we’ve been listening to feedback from instructional designers and learning professionals about what works—and what could work even better. The response has been clear: while AI assistance has already transformed many aspects of course creation, there’s still room to make the entire process more intuitive, collaborative, and outcome-focused. 

That’s why we’re excited to share the major updates in Version 8.0 of Amplifire Authoring, Powered by AI—enhancements that build on what you love while addressing the gaps you’ve identified.

Major Enhancements in AI Authoring

Building on the solid foundation of our existing AI authoring capabilities, Version 8.0 introduces significant improvements that give you more control and better course creation from start to finish.

Enhanced Flexibility: AI When You Want It, Full Control When You Don’t

Flexible AI Usage: The biggest update addresses one of the most common requests—complete control over AI involvement. Authors can now opt out of AI tools at any stage while maintaining full functionality for end-to-end course planning. Whether you want AI assistance throughout the entire process or prefer to handle certain sections manually, the choice is entirely yours.

End-to End Enhancements: Generate comprehensive course outlines, specific learning objectives aligned with performance outcomes and identify common learner mistakes before they derail progress all from just a topic or brief description. You maintain complete creative control while the AI eliminates writer’s block, allowing you to accept suggestions, modify them to fit your context, or use them as creative inspiration. What once took days or weeks of planning now happens in minutes, freeing you to focus on creating engaging, effective learning experiences. Enable faster course launches while maintaining the quality and expertise your learners deserve.

“It would have taken us months of additional work with everything we would have had to sift through. I feel the platform is pretty darn intuitive. It’s really kind of plug and play. Being able to create and refine essentially the entire course has been borderline a miracle.” – Devan Berkley, Senior Training Specialist, End User Adoption | UW Medicine

Advanced AI Guardrails: Version 8.0 introduces intelligent guardrails and coverage analysis that work behind the scenes to ensure quality and accuracy throughout the development process. The AI doesn’t just generate content it actively monitors for gaps, inconsistencies, and quality issues. Improved visibility into source coverage and bult-in content verification for trusted, accurate course development.

Transforming Good Courses into Exceptional Learning Experiences: Creating effective training content is just the starting point—the real breakthrough comes in the refinement process that transforms good courses into exceptional learning experiences. Amplifire’s enhanced AI Authoring platform shines in this critical phase by providing improvements through real-time content analytics that identify potential learner confusion before it occurs, optimize difficulty and pacing based on proven patterns, and highlight which elements drive the strongest retention outcomes.

The platform’s enhanced SME collaboration features streamline the entire development workflow with contextual feedback, real-time alerts that keep teams aligned, and version control that prevents conflicting edits. This approach fundamentally changes the traditional course development cycle. The result is a more efficient development process that delivers superior learning outcomes from day one.

What These Updates Mean for Your Daily Workflow

More Efficient Content Creation
Enhancing AI assistance eliminates writer’s block more effectively while giving you granular control over the level of AI involvement. Generate course objectives and outlines with AI support, then seamlessly transition to manual editing when you want complete creative control.

Higher Quality Output with Less Effort
Advanced guardrails work in the background to catch potential issues before they become problems. Coverage analysis ensures your courses meet learning objectives, while quality checks maintain consistency across all content.

Better Visibility into Content Performance
Enhanced analytics provide actionable insights into how your courses are performing, helping you make data-driven improvements that boost learning outcomes.

The Evolution Continues

The enhancements in Version 8.0 don’t replace the fundamental strengths that made AI authoring valuable in the first place. Instead, they build on that foundation to create a more flexible, collaborative, and reliable experience. You still get the time-saving benefits of AI assistance, the science-based learning modules informed by 5 billion+ learner interactions, and access to over 120 peer-reviewed templates—now with better control, improved collaboration, and stronger quality assurance.

As AI technology continues to advance, we remain focused on one core principle: empowering instructional designers and learning professionals to create better courses more efficiently. This version brings us closer to that goal by giving you the tools you need while preserving the creative control and professional judgment that make great learning experiences possible.

Ready to experience the enhanced AI authoring capabilities in Amplifire?

4 Key Takeaways from Elevating Clinician Training: The promise of AI for Personalized Workforce Development, a conversation with Amplifire

In the face of a growing healthcare staffing shortage, particularly among nurses, the need for innovative solutions to workforce training has never been more urgent. In a recent episode of Becker’s Healthcare podcast, Bob Burgin, CEO of Amplifire, joined Lukas Voss to explore the powerful role that AI and adaptive learning are playing in reshaping how healthcare professionals are trained. This conversation highlights how personalized, AI-driven training not only addresses workforce challenges but also enhances clinical performance, improves patient care, and supports long-term healthcare system sustainability.

Key Takeaways:

1. The Complex and Evolving Healthcare Landscape

Healthcare is one of the most complex industries to manage, and with constant changes, staying updated is crucial. The stakes in this sector are life and death.

2. The Power of Personalized Learning

Research has shown that 1:1 expert training is up to two orders of magnitude more effective than standard training. While personalized expert training is impractical at scale, adaptive online learning powered by AI can bridge this gap and make it accessible at a fraction of the cost.

3. Addressing Workforce Shortages with AI

As the U.S. faces a looming nursing shortage, especially with many nurses having under 2 years of experience, there is a critical need to scale workforce training. AI can help pinpoint knowledge gaps and deliver personalized, precision training that’s easy for healthcare professionals to absorb and apply effectively.

4. AI’s Expanding Role in Healthcare Beyond Education

Healthcare leaders are increasingly using AI not just for training, but for tasks like drug discovery, documentation, and other operational efficiencies. However, true success with AI in healthcare lies at the intersection of curated content and expert systems.

The podcast delves into how AI-powered personalized training offers a scalable solution to the current workforce crisis, bridging the gap between expert-level training and everyday healthcare professionals.

Listen to the full podcast to learn more about the role of AI in healthcare training and workforce development!

Elevating Clinician Training: The promise of AI for Personalized Workforce Development, a conversation with Amplifire

Elevating Clinician Training: The promise of AI for Personalized Workforce Development, a conversation with Amplifire

In a recent episode of the Becker’s Healthcare podcast, Lukas Voss spoke with Bob Burgin, CEO of Amplifire, about the transformative role AI and adaptive learning are playing in healthcare workforce development. The conversation highlights the urgent need to address staffing shortages, particularly among nurses, and how personalized, AI-driven training is not only enhancing clinical performance but also improving patient care.

2025 Healthcare Alliance Virtual Summit

On February 12, 2025, over 100 Healthcare Alliance members from over 30 healthcare organizations gathered to engage and experience the annual Healthcare Alliance Virtual Summit, Innovation Unleashed! 

The outstanding accomplishments and results of our Healthcare Alliance were thrown into the spotlight this year and it made for a memorable and exciting hour!

Learn more by downloading our Post-Summit Program below.

Accounting & Professional Services Catalog

Courses are co-developed and added regularly by Accounting and Professional Services Alliance members across the country. Course content can be quickly deployed as is, or there are opportunities to develop new course content, supported by a dedicated content and design team.

3 Key Takeaways from Advancing Training for your Clinicians: A Conversation with Tampa General Hospital

In the dynamic landscape of healthcare, where advancements in technology and patient care continually evolve, the role of training for clinicians is pivotal. In a compelling podcast discussion hosted by Mariah Muhammad for Becker’s Healthcare, Rachel Feinman, Vice President of Innovation at Tampa General Hospital (TGH), and Austin Smith, Director of Healthcare Alliance Development at Amplifire, delved into the transformative impact of advancing training methodologies for healthcare professionals. Here are three key takeaways from their enlightening conversation:

1. Build a Resilient Workforce Through Innovative Training Methodologies

A resilient healthcare workforce is fundamental to delivering consistent, high-quality care amidst evolving patient needs and healthcare challenges. “Looking at and reevaluating the way that we think about training is part of an even broader initiative and strategic goal around team member resiliency,” says Ms. Feinman. “Team members who are better trained feel more empowered to do their job.” Mr. Smith echoed these sentiments, highlighting Amplifire’s commitment to supporting healthcare organizations in cultivating a culture of innovative learning. 

By facilitating ongoing education and professional development through accessible, engaging learning platforms, Amplifire contributes to workforce resilience by equipping clinicians with the skills and knowledge needed to confidently navigate complex healthcare environments. Modernized training accelerates the onboarding process by leveraging previous clinician experience, and saving time by not retraining individuals on knowledge they already have. This has been especially successful in onboarding to Electronic Health Records like Epic. 

“We train and deploy at scale,” says Mr. Smith. Experienced clinicians might not need to sit through hours of classroom-based training, but instead can take an asynchronous Amplifire module to assess and solidify knowledge and get them to the floor in a fraction of the time.

2. Personalization and Customization Enhance Training Effectiveness

This personalized approach not only accelerates the onboarding process but aligns training content with the latest healthcare protocols and technologies, ensuring clinicians are well-prepared to deliver high-quality care through adaptive learning technologies that harness brain science-based methodologies to customize educational content for each learner.

Traditional training models in healthcare often follow a one-size-fits-all approach, where clinicians receive standardized education irrespective of their prior experience or learning style.  “Like many things, COVID was the impetus for a lot of change. And I think that was the case around workforce training,” says Ms. Feinman. The shift towards remote and virtual training necessitated a reevaluation of training strategies. Instead of uniform classroom sessions, TGH embraced personalized training experiences tailored to individual learning needs.

Ms. Feinman emphasized that treating each clinician as a unique learner significantly enhances engagement and knowledge retention. By leveraging data insights and platforms like Amplifire, TGH now delivers targeted micro-learning modules that address specific needs identified through data analytics.  “We have access to a lot of data,” Ms. Feinman continues. “Now we can target training down to the team member, down to the shift, or down to the unit that needs it.” This targeted approach not only streamlines training processes but produces behavior change, ensuring that clinicians are proficient and confident in applying their skills directly to patient care scenarios, without adding unnecessary burden.

3. Integration of Technology Drives Efficiency and Patient Outcomes

The integration of AI and personalized learning methodologies will play a pivotal role in shaping the future of healthcare training. 

Ms. Feinman underscored TGH’s commitment to leveraging AI not as a replacement for human expertise but as a tool to augment clinician capabilities and streamline operational efficiencies.  “Our goal at TGH is leveraging AI to help our team members focus on the aspects of their job that they need to feel better about the work that they do,” says Ms. Feinman. Specifically, she discussed examining the nurse manager role. “What we were asking of these nurse managers across systems is just too much.” Ms. Feinman states. 

Reimagining the nurse manager role through technology and AI optimizes operational workflows and empowers clinicians to operate at the top of their licensure. By reducing administrative burdens and enhancing decision-making support, AI-enabled tools allow clinicians to focus more on patient care, thereby fostering a resilient and motivated workforce.

Additionally, innovative strategies such as virtual enablement on the inpatient side are showing success maximizing clinician talent and improving staff resiliency. “If our team members are able to effectively manage and address patients virtually, and they can increase the number of patients they’re able to serve by leveraging that technology, then it’s better for the team member and better for the patient,” says Ms. Feinman. 

Mr. Smith highlighted how Amplifire’s AI capabilities facilitate rapid content development and deployment, significantly reducing the time and resources traditionally required for training. By automating routine tasks and enabling personalized learning pathways, Amplifire empowers healthcare organizations to scale their training initiatives without compromising individualized attention to learners.AI-enabled training not only enhances clinical proficiency but also plays a critical role in mitigating risks such as infection rates. By delivering targeted training modules based on real-time data analytics, healthcare systems can proactively address challenges like healthcare-associated infections, leading to improved patient safety and overall healthcare quality.

Amplifire and Tampa General Partnership Brings Innovation to Practice

“The partnership we have with Amplifire really exemplifies the reason we do this kind of innovation work,” says Ms. Feinman. “We are just scratching the surface on opportunities to collaborate across training and education,” says Mr. Smith, about the burgeoning partnership with TGH.

The insights shared underscore a transformative shift in healthcare training paradigms. By embracing personalized, technology-driven approaches to training, healthcare organizations like Tampa General Hospital are not only enhancing clinical proficiency but also fostering a resilient workforce capable of delivering exceptional patient care.

To listen to the full podcast by Becker’s Healthcare, click here.