Clinician-Centered, Data-Driven: How AHN Transformed OB Risk Training with Amplifire 

Personalized education. Smarter insights. A safer environment for mothers and babies. 

Allegheny Health Network (AHN) recognized a growing challenge within its obstetrics (OB) risk reduction training. A generic, one-size-fits-all program was falling short of addressing the unique needs of individual clinical roles. Clinicians with extensive experience were required to sit through content they had already mastered, while new staff lacked the targeted support they needed to build competence and confidence. On top of that, AHN had limited visibility into who was struggling, and the platform could not be tailored to reflect their specific protocols. 

Rather than settle for the status quo, AHN took action. By partnering with Amplifire, they shifted to an adaptive, clinician-centered training model that respects prior knowledge, surfaces knowledge gaps, and delivers role-specific content that reflects the way their teams actually work. 

The Turning Point: From Generic to Purposeful Learning 

Before 2024, AHN’s OB training was built on a platform that treated all learners the same. Everyone received identical content regardless of experience level or specialty. The system lacked flexibility, which meant that even as protocols evolved, AHN could not easily update or customize training materials. 

Clinicians were frustrated by training that didn’t feel relevant. Leadership lacked the tools to track progress and identify areas of concern at the individual level. Most critically, there was no way to detect the presence of misinformation—a dangerous blind spot in a high-stakes field like obstetrics. 

AHN knew it needed a smarter approach. 

Partnering with Amplifire: Tailored, Adaptive, and Data-Rich 

OB subject-matter experts at AHN worked closely with Amplifire’s instructional design team to create customized content that aligned with facility-specific workflows and protocols. This collaboration resulted in a modern learning experience that felt relevant to every clinician, regardless of role or tenure. 

Amplifire’s Confidence-Based Learning™ platform enabled clinicians to move quickly through content they already understood while focusing learning time on areas of uncertainty or misinformation. The platform’s adaptive engine delivered personalized learning paths and immediate feedback, creating a more efficient and engaging training experience. 

Equally important, AHN gained access to detailed analytics through Amplifire’s dashboard. For the first time, Nursing Professional Development specialists could see exactly where clinicians were struggling, identify Confidently Held Misinformation™, and intervene before gaps in knowledge reached the bedside. 

As Emily Hempel, MSN, RN, RNC-MNN, C-EFM, NPD-BC, Nursing Professional Development Specialist for Labor & Delivery and Antepartum shared: 

“We can now identify areas where additional support is needed for our team and provide that support so that everyone has the best training experience possible.” 

Early Results: Positive Feedback and Time Savings 

While AHN did not have baseline metrics to quantify every outcome, early indicators showed clear improvements in learner engagement and training effectiveness. Following implementation, 99 percent of clinicians rated the training experience as effective, signaling strong adoption across roles and experience levels. 

Clinicians responded positively to the adaptive learning experience and the ability to focus only on areas where reinforcement was needed. Learners shared feedback such as, “Love this learning style,” and “I like the fact that I only have to repeat what I did not get correct the first time.” This approach allowed experienced clinicians to move quickly through familiar content while providing newer team members with targeted support. 

Learners also noted practical improvements in their day-to-day work. One clinician shared, “I will definitely be able to write better progress notes for the postpartum patients concerning course of delivery,” while another commented, “I will carry this knowledge to the workplace.” 

Behind the scenes, Nursing Professional Development specialists gained clearer visibility into learner performance across individuals, topics, and locations. This insight enabled earlier intervention and more precise coaching.

Why It Matters: Building a Safer Environment 

AHN’s ultimate goal was not just to improve training efficiency, but to reduce patient safety risks. In obstetrics, the cost of misinformation or delayed knowledge can be significant. By surfacing Confidently Held Misinformation and ensuring every clinician mastered essential protocols, AHN took a proactive step toward safer care. 

This shift also reflects a broader commitment to workforce development. By respecting clinicians’ time and expertise, AHN strengthened satisfaction and engagement—key drivers of retention and performance. 

A Model for What’s Next 

AHN’s success with OB risk reduction training is already serving as a model for other departments. With Amplifire, they now have a scalable approach to delivering personalized, high-impact learning that adapts to their needs and evolves with their protocols. 

In a time of workforce shortages and increasing complexity, AHN’s clinician-centered, data-driven approach sets a powerful example of how smarter training can drive better outcomes. 

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

Amplifire Transforms Epic Training: New KLAS Case Study Shows 75% Reduction in Training Time

BOULDER, Colo., Jan. 14, 2026 /PRNewswire/ — Amplifire, a leader in adaptive learning and workforce development, is sharing best practices and improved learning outcomes in collaboration with UC San Diego Health and the Arch Collaborative at KLAS Research. A new case study published by the Arch Collaborative at KLAS Research documents how UC San Diego Health improved their Epic EHR training program. The collaboration resulted in a 75% or more reduction in provider training time while simultaneously improving content relevance and learning outcomes.

UC San Diego Health onboards approximately 1,000 clinicians annually, each requiring mandatory Epic training within two weeks of their start date. The goal was to improve efficiencies and consistencies with the learning process and outcomes.

The training used Amplifire’s science-based approach and patented Confidence-Based Learning® algorithms to personalize training. Beyond the 75%+ reduction in training time reported, providers were twice as likely to report content relevance to their role compared to prior training, and 577 instances of Confidently Held Misinformation™, incorrect knowledge that learners don’t realize they have, which poses the greatest risk in clinical settings.

“Our Confidence-Based Learning platform adapts to each learner to provide an individualized experience, focusing time only where it’s needed most but ensuring mastery for all,” said Anne Hyland, VP of EHR Learning at Amplifire. “The results of the collaboration demonstrate what’s possible when adaptive technology for education provides not only time-savings, but also a personalized learning experience that respects existing knowledge, closes the gaps, and corrects bad habits and misinformation.”

The platform’s analytics capabilities enabled the training team to identify specific knowledge gaps across their provider population and develop targeted microlearning modules to address them. This data-driven approach ensures training resources are allocated where they’ll have the greatest impact.

Following the success of the Epic training program, there will be an expansion to additional user groups, including inpatient nurses, and developing ongoing education strategies based on the platform’s detailed analytics.

The complete KLAS case study is available here.

About Amplifire

Amplifire’s adaptive learning platform, with over four billion learner interactions, drives measurable outcomes in high-stakes industries including healthcare, accounting and professional services, government, and education. Its AI-powered, brain science-based solutions reduce training time, improve employee satisfaction and retention, and enhance performance. Amplifire partners with a Healthcare Alliance of 35+ leading health systems, working collaboratively to improve the learning experience, engage clinicians, reduce costs, and improve clinical performance. Learn more at www.amplifire.com.

About the Arch Collaborative at KLAS Research

The Arch Collaborative at KLAS Research is a group of healthcare organizations committed to improving the EHR experience through standardized surveys and benchmarking. KLAS amplifies providers’ voices to enhance healthcare delivery. Follow KLAS on X and LinkedIn at klasresearch.com.

Source: PR Newswire

UC San Diego Health Transforms Epic Training with Amplifire and Cuts Training Time by 75%

Case Study from KLAS Arch Collaborative

UC San Diego Health onboards approximately 1,000 clinicians annually, each requiring mandatory Epic training within two weeks of their start date. Faced with limited staff capacity and generic training that didn’t account for providers’ existing knowledge, UCSD Health partnered with Amplifire to implement a personalized, scalable solution. By leveraging Amplifire’s Confidence-Based Learning platform, UCSD Health moved from one-size-fits-all training to an adaptive approach that honors what clinicians already know and focuses on what they need to learn.

Outcomes included:

• 75% or more reduction in provider training time
• Providers twice as likely to report content relevance to their role compared to prior training
• 577 instances of Confidently Held Misinformation identified and corrected—incorrect knowledge that learners don’t realize they have, which poses the greatest risk in clinical settings
• Data-driven insights enabling targeted microlearning modules to address specific knowledge gaps

Read the full case study here.

About KLAS

KLAS is a data-driven company on a mission to improve the world’s healthcare by enabling provider and payer voices to be heard and counted. Working with thousands of healthcare professionals, KLAS collects insights on software, services and medical equipment to deliver reports, trending data and statistical overviews. KLAS data is accurate, honest and impartial. The research directly reflects the voice of healthcare professionals and acts as a catalyst for improving vendor performance.

To learn more about KLAS and the insights we provide, visit www.klasresearch.com

Charting the Next Era of Clinical Learning: Reflection and Resolve

Corrie Halas, VP of Clinical Learning, Amplifire

As 2025 comes to a close, I’m reminded that clinical learning has never been more critical or more complex. This year, educators and training teams navigated unprecedented pressure: accelerating onboarding, supporting early-career nurses, tackling preventable harm, and adapting to rapidly evolving technology. Yet amid these challenges, one truth emerged: adaptive education is no longer optional. It’s foundational to developing safe, confident, high-performing clinicians at every level of practice.

The organizations that embraced data-driven, personalized learning saw measurable gains not only in competency and confidence, but in reduced variation, improved retention, and better outcomes at the bedside. At Amplifire, we witnessed health systems using brain science to solve real clinical challenges: reducing CLABSIs and CAUTIs, mitigating falls, and strengthening safe medication administration. But what excites me most is how much potential remains untapped.

The future of clinical learning is shifting from content delivery to capability development, powered by AI-enabled authoring, real-time insights, and continuous adaptive reinforcement. The leaders who thrive in the coming years won’t simply ask, “Did we train them?” They’ll ask, “Can they safely and consistently perform?” That shift from measuring completion to measuring competence will define the next era of healthcare education.

Looking ahead to 2026, we must reimagine the role of clinical educators. Training teams can no longer be viewed as cost centers, but as engines of operational efficiency, patient safety, and workforce stability. With the rise of ambient documentation, virtual nursing, and AI-supported workflows, clinicians will rely more than ever on cognitive resilience and foundational skills. Adaptive learning will allow us to close knowledge gaps faster, support practice changes earlier, and equip clinicians for environments that evolve week to week. As care delivery transforms, so must how we prepare those who deliver it.

I remain inspired by the resilience, creativity, and commitment of clinical educators nationwide. Thank you for partnering with Amplifire, for pushing us to innovate, and for trusting us with the responsibility of helping your teams perform at their best. Together, we’ll continue advancing a learning ecosystem where every clinician is confident, every process is consistent, and every patient receives the safest care possible.

Here’s to a year of progress, partnership, and purpose in 2026.

Cheers,
Corrie

When Two Wrongs Make a Right: What Video Speed Tells Us About Learning

Matthew Hays, Ph.D., SVP Research and Analytics at Amplifire

Insights from my recent presentation at Psychonomics on why learners can’t trust their instincts about what works.

People are really bad at managing their own learning. A big reason for that: They mistake how easily something comes to mind right now for how easily it’ll come to mind later.

Imagine two people getting ready to give their own conference presentations. Suppose Beth practices her talk once a day for each of the four days before the conference, and suppose Bill practices his talk four times in a row on the day before the conference. At the end of his marathon practice session, Bill’s going to be feeling amazing. But the next day, Beth’s talk is going to go more smoothly. Bill’s going to be scratching his head, wondering how practice went so well, but the talk went so poorly.

Two things are at play here. One is the spacing effect, which is one of the most powerful cognitive phenomena on record. It’s the finding that spreading your practice sessions over time massively increases how much you learn. (Side note: If you don’t do anything else to improve your memory, use spacing!) 

But the other thing going on here is that Bill is mistakenly interpreting his great performance during practice as evidence of great learning. What really happened: Beth set her practice sessions up to be more difficult while she was practicing, but to produce better learning as a result. Bill set his practice sessions up so that he would improve as rapidly as possible…but at the cost of tomorrow’s talk.

Phenomena like the spacing effect are called desirable difficulties, which are challenges during learning that create better long-term retention. But they’re unintuitive; people don’t know about them and instinctively avoid them, like Bill did. Instead, they gravitate toward what Dr. Dillon Murphy and I call evil easies: conditions of learning that make you think you’re learning a ton but then leave you hanging.

There are all sorts of ways that people’s misconceptions about their learning cause them to mismanage it. Dr. Murphy and I looked at a particular decision people make, both during their formal education and in the corporate world: Speeding up the playback of instructional videos. In some previous research, Dr. Murphy found that only about 15% of undergraduate students watch pre-recorded lecture videos at normal speed; the rest accelerate videos to various extents.

Their decision to speed up videos becomes interesting in light of some other data that Dr. Murphy collected. He found that speeding up videos, all the way to double speed, did not impair learning! But when he asked his research participants about it, he found that 42% of them thought that normal speed (1x) was best for learning. …But wait, we also know that only 15% of students watch at 1x speed. Clearly, some students are speeding up their lecture videos even though they think it’s bad for their memory.

Here’s the twist: In addition to selecting the “worse” option for their learning, they were also wrong about the trade-off! Because speeds up to 2x don’t hurt learning, these students were making the right practical decision saving time without sacrificing comprehension – while being completely mistaken about what they were doing to their learning. Two wrongs made a right!

What This Means

At Psychonomics this year, Dr. Murphy and I presented these data as yet more evidence that learners are lousy managers of their own learning. They’re often wrong about how learning works, and they also often fail to act in accordance with their own beliefs. In other words, they have fundamentally flawed metacognition.

Our presentation was remarkable not because we demonstrated learners’ metacognitive failures – plenty of researchers have done that – but because in this case two metacognitive errors canceled each other out. Most times, learners aren’t so lucky.This is where Amplifire comes in. We can’t rely on learners’ intuition to guide their study strategies…but we can design systems that guide learners toward empirically validated, efficient learning behaviors. Well-designed tools like Amplifire can turn accidental success into consistent success.

Strengthening the workforce with better training and professional development: What nobody is talking about 

Healthcare Innovation Webinar, September 2025

In the face of mounting pressures—from burnout and staffing shortages to shifting funding landscapes and rising care complexity—health systems are rethinking their most powerful asset: their people. 

This timely panel brings together healthcare leaders to uncover the untold strategies that are reshaping workforce development. While many conversations center on recruitment and retention, few explore how targeted training and professional development can drive real, lasting change. 

Join us to hear from this panel of thought leaders on: 

• Why traditional learning approaches are falling short—and what’s replacing them 
• How forward-thinking systems are building workforce resilience through upskilling, cross-training, and leadership development 
• The role of training in mitigating burnout and improving retention 
• How recent policy and financial shifts (including Medicaid funding changes) are impacting training priorities 

Whether you’re a clinical leader, HR strategist, educator, or system executive, you’ll walk away with unique perspectives on building and supporting your workforce. 

Fill out the form below to watch the webinar:

The Healthcare Workforce Is Fracturing. Adaptive Learning Can Help Hold It Together

Corrie Halas, VP of Clinical Learning, Amplifire

Healthcare’s frontline is stretched thin and the gap is growing.

By 2026, the U.S. healthcare system could be short more than 4 million workers, with over half of current staff considering leaving their roles.^[1,2] Nurses and clinical professionals are burning out, career ladders are disappearing, and educational bottlenecks are slowing the flow of new talent. We have been talking about this impending state for almost a decade. If we don’t act now, the future of patient care and the wellbeing of our workforce will be compromised.

At Amplifire, we believe one of the most powerful, cost-effective tools to fight this crisis is already in your organization: adaptive eLearning.

Burnout, Bottlenecks, and the Broken Pipeline

Burnout isn’t new but it’s accelerating. More than 6.5 million healthcare professionals are expected to permanently leave the workforce by 2026.^[1] The reasons are well known:

• Excessive workloads
• Emotional exhaustion
• Feeling undervalued or under-supported
• A lack of time and resources to grow professionally

Meanwhile, the pipeline meant to replenish that talent is leaking. Nursing schools rejected over 92,000 qualified applicants in the 2021-2022 academic year due to limited faculty and clinical placements.^[3] And across many roles, younger professionals see few clear paths to advancement.

The result? A workforce crisis that affects care quality, retention, and financial sustainability.

Adaptive eLearning: A Strategic Response to a Systemic Problem

Today’s leaders can’t hire their way out of this crisis. Instead, they must develop and retain the people they already have, and fast.

That’s where adaptive eLearning comes in to fill the gaps.

Rather than pushing static modules to a disengaged workforce, Amplifire uses Confidence-Based Learning^® and real-time feedback to tailor learning to each individual. Whether a team member is a new graduate or a seasoned RN, the platform identifies what they’ve mastered, what they’re unsure about, and most critically, where they hold Confidently Held Misinformation™ (CHM™) that could pose patient safety risk.

The impact is real:

• Reduced onboarding time
• Improved clinical competency
• Higher engagement and morale
• Lower turnover
• Fewer safety incidents tied to training gaps

For CNOs and CHROs alike, this translates into measurable gains in workforce readiness, quality of care, and organizational resilience.

Upskilling That Doesn’t Burn People Out

Traditional training models often add fuel to the burnout fire. Clinicians are pulled off the floor for hours of repetitive training, much of which doesn’t apply to their roles. The experience feels disconnected, demoralizing, and devaluing.

Adaptive eLearning flips the script:

• No time wasted on what’s already known
• Focus on what matters, especially high-risk knowledge gaps
• Completed in less time, fitting into real workflow

By showing respect for employees’ time and intelligence, adaptive learning drives engagement not resentment.

A Financial Imperative, Not a “Nice-to-Have”

In a high-cost, high-pressure environment, every dollar must work harder. Training budgets are often the first cut. There is evidence that supports there are both financial and care quality benefits to adaptive learning with brain science.

Consider this:

• Labor accounts for 60% of total hospital expenses^[4]
• Replacing a single nurse can cost upwards of $60,000
• Preventable safety events due to training gaps can cost millions in litigation, penalties, or lost trust

Investing in evidence-based, adaptive upskilling doesn’t just protect your people, it protects your margins.

Meeting the Moment with Data-Driven Learning

The workforce isn’t just asking for more money. They’re asking for meaning, support, and growth. They want to feel confident in the care they deliver and the careers they’re building.

Adaptive eLearning helps you deliver on that promise. It’s:

• Data-driven
• Personalized at scale
• Proven to improve competency and confidence
• Aligned to organizational metrics for safety, retention, and performance

If you’re serious about solving healthcare’s workforce crisis, you can’t keep learning the old way.

The Time Is Now

2026 will be a defining year for healthcare workforce development. Organizations that modernize how they support, grow, and retain staff will survive and likely thrive. Those that don’t may find themselves caught in a churn-and-burn cycle with no off-ramp.

Investing in adaptive eLearning is not just an operational upgrade—it’s a strategic act of care.

For your staff. For your patients. For the future of your organization.

To learn more about our VP of Clinical Learning Corrie Halas click here.

Sources

1. Mercer. (2021). 2021 External Healthcare Labor Market Analysis. https://www.businesswire.com/news/home/20210929005680/en/
2. The Harris Poll, commissioned by Strategic Education. (2025). Healthcare workforce survey of 1,504 frontline healthcare employees and 304 employers, conducted June 26-July 21, 2025.
3. American Association of Colleges of Nursing. (2022). Nursing faculty shortage fact sheet: Data from 2021-2022 academic year. https://post.edu/blog/addressing-the-nursing-faculty-shortage/
4. American Hospital Association. (2021). Strengthening the Health Care Workforce. https://www.aha.org/system/files/media/file/2021/05/fact-sheet-workforce-infrastructure-0521.pdf

The Power of Personalized Learning: Amplifire and UCHealth’s EHR Training Success 

We’re thrilled to see the impressive results from UCHealth’s digital transformation of nurse EHR education, recently highlighted in a KLAS case study. Amplifire is proud to work alongside UCHealth and uPerform on this innovative partnership and see the remarkable outcomes of 50% reduction in onboarding time, $3 million in cost savings, and significantly improved satisfaction scores. 

The Power of Platform Partnerships 

UCHealth’s success demonstrates something we see frequently: healthcare organizations achieve the best results when they leverage a blended learning approach. Many of our most successful clients, like UCHealth, use both Amplifire and complementary at-the-elbow training resources because each brings unique strengths to the learning ecosystem. You can learn more about this approach in the Webinar presented by Becker’s Healthcare. 

Amplifire’s Role in the Transformation 

What made UCHealth’s approach particularly innovative was their recognition that one size doesn’t fit all in healthcare training. When they discovered that over 77% of incoming clinicians already had Epic experience, they needed a sophisticated solution to personalize learning paths and that’s where Amplifire became essential. 

Here’s how our adaptive learning technology enabled their success: 

UCHealth created differentiated pathways based on learner experience. Seasoned Epic users were directed through Amplifire’s personalized learning system, which identified their specific knowledge gaps and delivered targeted microlearning. New Epic learners followed comprehensive training paths through other platforms. Regardless of their starting point, all learners ultimately engaged with Amplifire’s Confidence-based Learning (CBL) to ensure lasting knowledge retention. 

As UCHealth leadership shared:
“We saved millions of dollars by going completely virtual with uPerform’s and Amplifire’s systems… Add to that using Amplifire’s system to allow people to test out when they already have the knowledge needed and we have even more savings.” 

The Science of Adaptive Learning 

What distinguishes Amplifire is our focus on how the brain actually learns and retains information. Our platform doesn’t just deliver content it identifies what each individual knows, what they don’t know, and critically, what they think they know but don’t (metacognitive errors). This level of personalization is what enabled UCHealth to eliminate redundant training while ensuring comprehensive competency. 

The Learning Avatar Innovation 

UCHealth’s “learning avatar,” their advanced data repository combining help-desk tickets, Epic Signal data, and coaching logs was powered significantly by Amplifire’s detailed learning analytics. This real-time insight into individual learning patterns enabled UCHealth to deploy coaches exactly where they were needed most, transforming their entire approach to ongoing education support. 

“We saved millions of dollars by going completely virtual with uPerform’s and Amplifire’s systems. Organizations need to sit down and go through all of the costs they can save. If an organization is running face-to-face training, they have mileage costs, food costs, trainer costs, provider costs, and nursing costs for travel. Cutting those out saved us millions. Add to that using Amplifire’s system to allow people to test out when they already have the knowledge needed and we have even more savings. We did not get rid of our trainers, but we repurposed them to manage virtual content.” 

Key Success Factors for Healthcare Organizations 

UCHealth’s transformation offers valuable lessons for other healthcare systems: 

• 1. Embrace Personalization Generic training is inefficient. UCHealth saved millions by recognizing that experienced users needed different support than newcomers. 
• 2. Focus on Knowledge Retention Moving training online is just the first step. Ensuring that knowledge sticks requires adaptive technology that addresses individual learning patterns. 
• 3. Leverage Complementary Platforms The best learning ecosystems use a blended learning approach. UCHealth succeeded by using each platform for what it does best. 
• 4. Use Data-Driven Insights Real-time learning analytics enable targeted interventions that traditional training methods simply cannot provide. 
• 5. Address Metacognitive Errors Understanding what learners think they know but don’t is often more critical than identifying obvious knowledge gaps. 

Looking Ahead 

UCHealth’s journey illustrates the tremendous potential when healthcare organizations embrace both technological innovation and strategic platform partnerships. Their results, faster onboarding, higher satisfaction, and significant cost savings demonstrate what’s possible when adaptive learning principles are properly implemented. 

We’re proud to have contributed to UCHealth’s success alongside uPerform and look forward to continuing to enable similar transformations across healthcare. As more organizations face scaling challenges like UCHealth did, the combination of personalized adaptive learning and complementary training platforms will become increasingly essential. 

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?