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Precision Learning Cuts Audit Training Time by 80% at Cohen & Co
To modernize its auditor onboarding and keep pace with rapid growth, Cohen & Co needed a more scalable approach to training—without sacrificing the experiential learning that made its mock audits effective. By partnering with Amplifire, the firm transformed a 3+ day, SME-dependent program into a streamlined, adaptive learning experience that delivers targeted instruction based on each learner’s knowledge and confidence.
The results were immediate and measurable. Training time was reduced to under seven hours while maintaining performance outcomes, increasing learner engagement, and freeing SMEs to focus on high-value coaching. With greater flexibility, reduced costs, and real-time insight into workforce readiness, Cohen & Co now delivers faster onboarding and a more scalable model for developing audit talent—proving that when learning matters, precision drives performance.
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Precision Training Saves 2,920 Hours Annually for Froedtert Health
To reduce documentation burden and free nurses to focus more on patient care, Froedtert Health partnered with Amplifire to take a smarter, more efficient approach to training. Using Amplifire’s scenario-based GapFinder Assessment, the health system assessed all 1,887 inpatient nurses and identified exactly who needed support—only 24 percent. This meant 1,440 nurses avoided unnecessary training, saving over 4,000 hours immediately. Those who did require support received targeted in-person coaching designed to close performance gaps in areas like documentation latency and system efficiency.
The results were transformative. Within three months, nurses who had been struggling improved their documentation performance by up to 85 percent, achieving near parity with their top-performing peers. Across the full cohort, Froedtert saw a 4.6 percent reduction in active system time per shift hour, which equated to 2,920 hours saved annually. This success underscores the power of precision learning to drive measurable efficiency, ensure competency across the board, and alleviate one of healthcare’s most persistent pain points, all while honoring clinicians’ time and expertise.
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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
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AI-Powered Adaptive Learning and ServiceNow Integration, Delivering 50% Faster Onboarding for Stanford Health Care
Stanford Health Care reimagined Epic EHR onboarding with Amplifire’s adaptive learning platform, achieving breakthrough results that transformed their clinician training program. By integrating brain-science-based learning with ServiceNow automation, Stanford created a personalized, data-driven experience that dramatically accelerated time-to-competency while reducing instructor workload.
Amplifire’s Confidence-Based Learning® methodology identified and corrected Confidently Held Misinformation™ (CHM™)—where clinicians were confident but incorrect preventing costly errors before they reached patient care. The platform’s real-time analytics automatically flagged struggling learners and generated support requests, enabling targeted interventions precisely when needed. Through seamless workflow integration, Stanford delivered customized learning paths that honored prior Epic experience while ensuring mastery of critical clinical workflows.
The results speak for themselves: 50% reduction in onboarding time, getting clinicians to patient care twice as fast. A 20-30% decrease in education processing hours freed instructors for high-impact coaching. Knowledge base engagement jumped 13%, reflecting improved resource access and relevance. Across roles from inpatient nurses to specialty providers, Stanford corrected 14-25% of CHM™ while achieving 8-17% higher retention compared to traditional training. This wasn’t just faster training—it was smarter, more effective preparation that elevated both clinician confidence and clinical accuracy.
Read the Case Study
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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
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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
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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.
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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.
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On The Floor Faster, Better Patient Care
A Non-profit Health System’s Nurse Onboarding Overhaul
In 2022, a non-profit health system faced resource-straining onboarding processes and wanted to reduce nurse turnover. To address these challenges, a revamped onboarding strategy was implemented, featuring a standardized approach and the integration of Amplifire’s adaptive e-learning platform. This overhaul was aimed at enhancing efficiency, reducing training time, and improving patient outcomes.
The non-profit health system’s streamlined onboarding process now serves as a benchmark for other healthcare organizations, demonstrating how adaptive e-learning can facilitate quicker onboarding, smarter learning, and better patient care.
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Redefining Epic Training in Healthcare
How UCHealth Eliminated Misinformation through Personalized Learning Paths
Traditionally, EHR onboarding training follows a “one-size-fits-all” approach, which fails to address the individual learning needs of both new and experienced clinicians and directly contributes to clinician dissatisfaction and burnout. Learn how UCHealth, a nationally recognized network of 14 hospitals and more than 33,000 employees, reimagined their EHR onboarding and training program to better meet their providers’ needs by partnering with Amplifire.
Download the study to learn more.
