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 Slashed 49,000+ Training Hours and Saved $2M

Amplifire transformed compliance training for a major health system, 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 clear insights, ensuring a laser-focused approach to closing knowledge gaps and boosting workforce readiness. In a bold system-wide rollout across 42,894 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

LVHN Slashes Pajama Time by Over 50% with Personalized Clinician Training from Amplifire

Lehigh Valley Health Network (LVHN), part of Jefferson Health, transformed its clinician education program by implementing a tailored, data-driven approach using Amplifire’s adaptive learning platform. By creating distinct beginner and experienced tracks, blending in-person and eLearning, and leveraging real-time data to address knowledge gaps, LVHN boosted Epic system efficiency and clinician satisfaction. 

The result? A 17% increase in chart search usage for Family Medicine/Internal Medicine clinicians, a 10% increase for Express Care clinicians, and over 51% reduction in daily “pajama time” across both groups, enhancing retention and preparedness while streamlining workflows.

Read The Full Case Study

SAX LLP Leverages Amplifire eLearning to Gain Over 50% Time Back in CPE Credit Completion and Unearth Knowledge Gaps

SAX LLP faced a dual challenge that is not uncommon in the Accounting industry. First, supporting their staff with their CPE requirements in an efficient and effective way. Secondly, assessing their existing and potential new hires’ knowledge for effective support and placement.   

To tackle these challenges, SAX LLP partnered with Amplifire to develop and roll out 10 courses across a variety of important subjects including Audit, Communication and Time Management Skills, Preparing Tax Returns, and more. Amplifire’s adaptive eLearning platform was not just about delivering content; it was about deeply understanding where their learners stood in terms of knowledge and how to enhance it efficiently.

Read the full case study.

Recap of AONL 2025: Amplifire Highlights

The AONL 2025 event was a remarkable gathering of nursing leaders and innovators, setting the stage for the latest advancements in the nursing and medical fields. This year, Amplifire had the honor of participating and presenting groundbreaking insights on our adaptive learning platform and its critical role in reducing Hospital-Acquired Infection (HAI) rates with one of our esteemed clients, Providence. The event brought together a diverse group of professionals, all committed to improving patient care and healthcare outcomes through innovation and collaboration.

Throughout the presentation with Troy J. Larkin, PhD, RN Associate Vice President, Clinical Education & Nursing Research from Providence, we were able to emphasize how adaptive learning, with its personalized and data-driven approach, has proven to be a game-changer in the realm of clinical education. By identifying and addressing gaps in knowledge and correcting Confidently Held Misinformation™, our platform has significantly improved competency among healthcare professionals.

With improved competency, Providence saw improved outcomes. Larkin shared these substantial improvements in CAUTI (Catheter-Associated Urinary Tract Infections) and CLABSI (Central Line-Associated Bloodstream Infections) rates, showcasing a 51% decrease in CLABSI rates, equating to 85 cases avoided and 21 potential deaths prevented. These outcomes highlight the effectiveness of adaptive learning in enhancing patient safety and care quality.

Nurse Training at Scale: Decreasing HAI Rates with Adaptive Learning 

During the presentation, we had the opportunity to share several crucial aspects of our adaptive learning platform that have driven these impressive outcomes. We highlighted the role of microlearning, which provides quick, focused educational interventions that are easy to integrate into busy clinical schedules. The use of patented Amplifire Analytics and Gap-Finder Technology was also a focal point, demonstrating how these tools identify and address knowledge gaps at both individual and departmental levels.

We discussed how our multi-interventional approach, tailored to the specific needs of different units, has led to remarkable improvements post-COVID. This stratified approach, combined with on-site practice observations and continuous feedback, has been instrumental in driving change and improving outcomes. 

Expressing Gratitude to AONL for a Successful Event

We would like to extend our deepest gratitude to the AONL for hosting such a successful and impactful event. The opportunity to share our work and connect with like-minded professionals was invaluable. The AONL 2025 event not only highlighted the latest advancements in healthcare but also fostered a sense of community and collaboration that is essential for driving progress in the field.

In conclusion, our participation in AONL 2025 was a resounding success, and we are excited to continue our journey of innovation and excellence in healthcare education. We look forward to future opportunities to share our insights and collaborate with others who are equally passionate about improving patient care and outcomes. Thank you, AONL, for a great week!

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.

Mastering Tax Season: How Personalized Learning and Time Management Fuel Team Success

Tax season can be one of the most demanding times for accounting professionals. With tight deadlines, high workloads, and the pressure to deliver accurate results, the potential for stress and burnout is high. As leaders, it’s crucial to equip your workforce with the right tools and strategies to optimize their performance and reduce the strain that comes with this busy period. By adopting personalized learning and smart time management techniques, you can help your team boost productivity, give them more time to focus on critical tasks, and reduce stress- setting them up for success.

The Connection Between Personalized Learning and Time Management

Personalized learning tailors training to each employee’s unique needs, preferences, and skill levels. In a high-pressure field like accounting, this approach ensures your team focuses on what matters most, optimizing both time and efficiency. By leveraging adaptive learning technologies, training can be accelerated, allowing employees to spend less time on training and more on high-priority work.

The key advantage is that personalized learning helps your workforce work smarter, not harder. By targeting knowledge gaps, employees can skip irrelevant content, moving through training faster and freeing up time to focus on essential tasks during busy periods.

Platforms like Amplifire take this a step further, dynamically adjusting training to each learner’s specific needs. This reduces unnecessary check-the-box training and ensures better retention of critical knowledge, ultimately enabling your team to focus on delivering high-quality work when it matters most.

Time Management Techniques for Supporting Your Workforce

Effective time management is essential during high-pressure periods like tax season. As leaders, you can help your team adopt personalized time management strategies to maximize productivity while minimizing overwhelm. Here are a few approaches to consider:

• Prioritize with Purpose: Encourage your team to start each day by identifying the most important tasks and tackling them first. By focusing on critical deadlines and tasks, they can avoid getting sidetracked by less urgent matters.
• Leverage Focused Work Periods: Encourage the use of techniques like the Pomodoro Method, which involves working in short, focused bursts (e.g., 25 minutes) followed by brief breaks. This strategy can help maintain energy levels and concentration throughout the day.
• Break Large Tasks Into Manageable Steps: Complex tasks can be daunting, but breaking them into smaller, more manageable pieces can help your team maintain a sense of control and reduce stress.
• Leverage Digital Tools: The use of digital tools like task management software and calendars can help streamline workflows and keep everyone on track. These tools not only enhance organization but also ensure that important deadlines are met without added confusion.

How Adaptive Learning Reduces Stress and Accelerates Your Training

Adaptive learning is a game-changer when it comes to supporting your team’s development. By personalizing training content to everyone’s needs, adaptive learning accelerates the training process, allowing employees to focus on the most relevant information and avoid wasting time on irrelevant content.

For accounting teams, this is especially crucial during tax season, as it reduces the need for repetitive training or re-learning. With tailored learning paths, your employees are more likely to retain key knowledge long-term and be better prepared for high-stakes tasks. In fact, studies show that adaptive learning can boost knowledge retention by up to 50%, significantly improving both individual performance and overall team efficiency during critical periods like tax season.

By continuously assessing knowledge and tailoring learning paths, Amplifire helps you stay focused on the most important material, improving retention, and enhancing performance during critical times like tax season. It accelerates training processes, allowing accountants to spend more time on their core work rather than revisiting training content they’ve already mastered.

Leveraging Technology for Efficiency

In today’s digital era, technology plays a vital role in streamlining operations and enhancing team productivity. By leveraging automation tools and cloud-based platforms, your team can reduce the time spent on routine administrative tasks and focus on higher-value work. Automation tools can handle repetitive tasks, leaving your employees with more time to engage in strategic work that adds value to the organization.

Reports indicate that 75% of accountants believe automation has reduced stress and improved productivity by handling repetitive tasks. By incorporating these tools into your team’s workflow, you can help them work more efficiently, reducing stress while maintaining the quality of their work.

Conclusion

Tax season doesn’t need to be a time of overwhelming stress and burnout. As a leader, you can set your team up for success by integrating personalized learning, effective time management, and the right technology into their daily routine. Adaptive learning accelerates the development process, ensuring your team focuses on what’s most important while cutting down on irrelevant content. Combined with strategies like time management techniques and digital tools, your team will be better equipped to handle the challenges of busy seasons with greater efficiency, focus, and less stress.

Amplifire provides a personalized learning experience that helps employees hone in on the skills they need to succeed, increasing retention and freeing up more time for high-value work. When you invest in your team’s personalized development and support their time management efforts, you set them up to excel during critical periods and beyond.

References:

• Accounting Today (2022). How accountants use digital tools to improve time management. Retrieved from Accounting Today
• National Center for Biotechnology Information (2020). Impact of adaptive learning on knowledge retention. Retrieved from NCBI
• Deloitte (2021). How automation is transforming accounting: Reducing stress and increasing efficiency. Retrieved from Deloitte