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?

Recap of KLAS Arch Collaborative Learning Summit 2025: Amplifire Highlights 

The KLAS Arch Collaborative Learning Summit 2025 brought together health system clinical and technology leaders alongside EHR vendors, all focused on the shared mission of improving the EHR experience for clinicians through data-driven measurement, benchmarking, and collaborative best practice sharing. 

This year, we had the privilege of participating alongside our valued partner, UC San Diego Health, presenting groundbreaking insights on transforming physician training through adaptive learning technology.  

UCSD’s presentation, titled “From Off-The-Rack to Custom Fit: Transforming Physician Training,” demonstrated how adaptive learning technology can revolutionize medical education at scale. Our own Alex Nicolarsen took the stage alongside the UCSD team to share compelling insights and outcomes from their innovative approach to delivering customized Epic training with limited staff resources. 

The presentation showcased how UCSD optimized their training methodology by leveraging data-driven insights from eLearning initiatives. The focus on customization over one-size-fits-all solutions proved to be a game-changer in their physician training approach. 

Transforming Medical Education Through Data-Driven Insights 

During our collaborative presentation, we highlighted how UCSD’s innovative approach successfully addressed the common challenge of delivering high-quality, customized training with limited staff resources.  

By leveraging performance analytics to identify knowledge gaps and implementing data-driven insights through automated adaptive learning pathways, UCSD was able to scale their Epic training program while maintaining personalized attention that leads to better learning outcomes. The presentation highlighted how learner feedback and performance metrics provide valuable intelligence for continuously improving self-directed learning programs, representing a significant shift toward more effective, efficient, and scalable training solutions in medical education. 

Celebrating Our Clients’ Achievements 

We were thrilled to see several Healthcare Alliance members receive well-deserved recognition during the Summit’s awards dinner. Froedtert Health, Houston Methodist, and Mercy were among those honored, showcasing the exceptional work these organizations are doing to advance healthcare education and patient outcomes.

Their achievements reflect the power of data-driven EHR optimization and their unwavering commitment to improving the clinician experience through collaborative measurement and best practice implementation. 

Expressing Gratitude to KLAS for an Outstanding Summit 

We extend our sincere appreciation to KLAS for once again organizing such an impactful Summit. The opportunity to collaborate with UCSD Health and share insights with fellow healthcare clinical and technology health system leaders was invaluable, fostering the kind of meaningful collaboration that drives real progress. We’re excited to continue our partnership with forward-thinking organizations like UCSD Health.  

Thank you, KLAS, for hosting an exceptional event that showcased cutting-edge advancements while building the collaborative connections that will continue to influence healthcare training programs across the industry. 

Revolutionizing Compliance: How Amplifire Helped Mercy Slash 49,000 Training Hours and Saved $2M

Amplifire transformed compliance training for Mercy, delivering a cutting-edge, brain-science-based learning experience that kept employees engaged while slashing training time. By leveraging adaptive algorithms that respect learners’ existing knowledge, Amplifire zeroed in on gaps, misconceptions, and areas of struggle, empowering staff to master critical compliance topics faster.

Granular analytics gave trainers and leaders at Mercy clear insights, ensuring a laser-focused approach to closing knowledge gaps and boosting workforce readiness. In a bold system-wide rollout across 50,000+ clinical and non-clinical learners from November 15, 2024, to January 14, 2025, Amplifire delivered jaw-dropping results: over 49,000 hours of training time saved, translating to more than $2 million in cost savings. With two-thirds of compliance questions nailed on the first attempt, learners skipped redundant content, cutting training hours from 75,065 to just 25,984—an average savings of 67-69 minutes per learner. This freed up staff to focus on what matters most: delivering exceptional patient care and driving operational excellence.

Read the Case Study

Ochsner Health scales EHR Training with Amplifire—Boosting Proficiency and Reducing Burnout

Case Study from KLAS Arch Collaborative

As Ochsner Health continues to expand their footprint, the organization needed a scalable, effective way to deliver Epic training without compromising quality. By partnering with Amplifire, Ochsner transformed its approach to onboarding, go-lives, and ongoing EHR education—moving from predominantly in-person training to a hybrid model powered by adaptive e-learning. The result: clinicians now gain access to Epic one day sooner, initial EHR preparedness improved, and provider agreement that ongoing education is effective jumped to the 90th percentile nationally.

Outcomes included:

• Providers using Amplifire’s system score in the 90th percentile for agreement that ongoing EHR education is effective (benchmarked against all organizations in the Arch Collaborative) 
• Providers using Amplifire’s system saw 13 percentage-point increase in agreement that ongoing EHR education is effective 
• Amplifire users in a newly acquired region score in the 92nd percentile for agreement that Epic designed a high-quality EHR; non-Amplifire users in the same region score in the 23rd percentile (benchmarked against other new Epic implementations measured within three years of the go-live) 

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 KLASresearch.com