Healthcare Course Catalog

Course content has been co-developed and efficacy-tested by co-development partners at renowned Health Systems across the country. Course content can be quickly deployed as is, or there are opportunities to develop new course content, supported by a dedicated content and design team.

On The Floor Faster, Better Patient Care

Intermountain Health Saint Joseph Hospital’s Nurse Onboarding Overhaul

In 2022, Intermountain Health Saint Joseph Hospital, formerly SCL Health, 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.

Intermountain Health Saint Joseph Hospital’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.

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.

Clinicians are asking for better training: are you listening?

As we step into 2025, healthcare organizations are facing a mounting challenge—clinician turnover. This issue has only intensified in recent years, with factors like burnout, stress, and poor system adoption contributing to the growing instability within the workforce. However, as we reflect on how to make this year a success, one crucial element that can help reduce turnover and improve clinician satisfaction is effective training.

The State of Clinician Turnover

According to KLAS Research’s Clinician Turnover 2024 report, turnover remains a significant concern in healthcare. High levels of attrition have resulted in increased workloads for remaining clinicians, a disruption in continuity of care, and overall decreased job satisfaction. The report highlights that turnover isn’t just about clinicians leaving; it’s about the ripple effect that happens when new staff members are constantly coming in and out of organizations without the necessary support and training to succeed.

One major takeaway from the report is the importance of developing strategies to improve retention and support clinicians in their roles. A robust training program is a critical strategy to consider as the report highlights that the “lack of EHR education can be detrimental for at-risk clinicians. 40% of nurses and 59% of physicians who did leave their organization report they wanted improved education,” December 2024, Clinician Turnover 2024 – Arch Report.

When clinicians are properly trained, they’re more confident, competent, and satisfied in their roles, resulting in better retention rates.

The Role of Training in Reducing Turnover

Training isn’t just a one-time event—it’s an ongoing investment. As noted by Judy Faulkner in her blog “Hey Judy”, “Good training is one of the most important parts of installing a new system. If we teach users to do things the right way, and we teach them before bad habits get calcified in the brain, they are much more likely to use the software well and to be happy, proficient users. If the users don’t get good training, and instead bad habits get solidified, they might never catch up.”

This quote underscores the critical role training plays in the early stages of EHR adoption. If clinicians don’t receive adequate training before they get comfortable with shortcuts and incorrect processes, they may never be able to overcome these bad habits. This leads to frustration, inefficiency, and ultimately, burnout. When clinicians are unable to efficiently use the tools that are meant to help them, it adds to their already heavy workloads and increases the likelihood of turnover.

Preparing for a Successful 2025

As healthcare organizations look ahead to 2025, investing in training and development must be a top priority. If your teams are not adequately supported with comprehensive, ongoing education, the cycle of turnover will continue, and productivity will suffer. Here’s five ways that healthcare organizations can align training with turnover reduction strategies:

• Implement Continuous Training Programs: Make training an ongoing process, not just a one-time event. Regular refresher courses, support sessions, and real-time assistance can help clinicians stay up to date and prevent bad habits from taking hold.
• Tailor Training to Specific Roles: Clinicians have varying needs based on their roles, and training should reflect that. Role-specific training helps clinicians understand how to use systems in ways that are relevant to their daily tasks, ensuring they feel confident and proficient.
• Emphasize Change Management: Training should be accompanied by strong change management strategies that foster clear communication, accountability, and user engagement throughout the transition to new systems.
• Personalize the Training Experience: Clinicians’ time is valuable, so instead of offering generic training, provide personalized learning experiences that respect their time and address their specific needs.
• Measure Training Success: Regular feedback and performance metrics should be used to assess the effectiveness of training programs and adjust as necessary.

Looking Forward

As healthcare enters 2025, supporting your workforce through comprehensive training and development isn’t just a “nice-to-have”—it’s essential to reducing clinician turnover and improving the overall work environment. By investing in your clinicians’ skills, you’ll build a workforce that feels valued, empowered, and equipped to deliver high-quality care.

With the right training, you’re not just mitigating turnover; you’re ensuring that your clinicians have the tools they need to thrive in the ever-evolving healthcare landscape. Let’s make 2025 the year that we empower our healthcare workforce with the support they deserve.

6 Key Takeaways from the Becker’s Webinar on Personalized EHR Onboarding

Discover why adaptive, personalized learning is essential for ensuring both new and experienced Epic users get the training they need to optimize performance and patient care.

For healthcare leaders seeking to boost efficiency and satisfaction among their clinicians, EHR onboarding presents a tremendous opportunity for improvement. Personalization has become the key to enhancing the learning experience, addressing the specific needs of individual learners, and improving their proficiency. In the recent Becker’s webinar, Kelley Williamson of UCHealth shared how allowing physicians to choose their own onboarding journey improved physician satisfaction and provided UCHealth with the data they needed to make informed decisions.

As Anne Hyland, Senior Director of Healthcare Client Solutions and EHR Program Director at Amplifire, explained during the webinar, “Personalized EHR Onboarding: Data-Driven Strategies for Efficiency and Satisfaction”, healthcare training is inherently time-consuming, resource-intensive, and costly. Trainers often face the challenge of balancing the need to cover all the necessary material l while reducing the time it takes to do so to facilitate training efficiency. Amplifire’s approach digs deeper into learning personalization for EHR onboarding, revealing some unexpected truths about even the most experienced EHR users.

Here are six key takeaways from this insightful webinar to consider when evaluating the efficacy of your EHR training program:

1. One-size-fits-all Training Falls Short of Addressing Individual Needs

Healthcare organizations have long relied on standardized training methods, but one-size-fits-all approaches often fail to meet the unique needs of diverse learners. In large health systems, the user base consists of individuals with varied experiences, roles, and specialties. A standard training program cannot cater to the specific knowledge gaps and responsibilities of each individual.

Take UCHealth, for example. Their providers—one of the most expensive and valuable resources within the system—were vocally dissatisfied with their previous “click-through-for-credit” learning system and lengthy, required in-person session. This approach left learners disengaged and underprepared to navigate the complexities of their EHR. Despite having completed their training, errors persisted in crucial tasks like admissions, discharges, and transfers. These mistakes ultimately impacted the overall efficiency of the health system and patient care.

The lesson here is clear: generic training methods don’t account for the nuances of individual workflows or knowledge gaps. A more tailored, data-driven approach is required to ensure that clinicians not only complete the training but truly master the system.

2. In-Application and At-the-Elbow Training Are Not Enough for True Mastery

Many healthcare organizations employ at-the-elbow support and in-application guides to assist clinicians during the onboarding process. While these tools provide assistance in real-time, they fall short when it comes to deeper, personalized learning. These forms of support may address immediate questions or provide orientation but lack the scientific rigor needed to ensure long-term retention and mastery of the EHR system.

Amplifire’s approach goes beyond this, using adaptive learning methodologies grounded in cognitive science. Brain science-based learning techniques focus on improving retention through strategies such as spaced repetition, confidence-based assessments, and active recall. These methods have been shown to help learners retain knowledge longer, learn faster, and apply information more accurately.

Adaptive learning personalizes the training process to each user’s unique needs, ensuring that they not only complete online training but also remember how to accurately navigate the EHR when they are back on the floor. 

3. Experienced Clinicians May Require More Training Than Expected

One of the most surprising findings from UCHealth’s EHR training journey was that Epic-experienced clinicians exhibited just as much “confidently held misinformation^®” (CHM^®) as new users that just completed other online EHR learning. CHM^® occurs when users are confident in their knowledge but are, in fact, mistaken. This is particularly dangerous in clinical environments where confidence can lead to incorrect actions that impact patient outcomes.

At UCHealth, Amplifire analyzed data from around 1,800 learners and uncovered nearly 18,000 instances of CHM^® across both experienced and novice users, and the CHM^® for those that had just complete other online training on the exact content only had a reduced level of CHM^® by a couple of percentage points. This indicates that prior exposure to the EHR system does not always correlate to efficient and accurate EHR use, nor just traditional online learning. Even seasoned users who have been working with the EHR for years may develop inaccurate shortcuts, gain unreliable tribal knowledge, or rely on outdated processes. Based on the data, even those that had just spent time learning the EHR displayed only 55% confidently correct knowledge.  

Matt Hays, Amplifire’s VP of Research and Analytics, stressed the significance of this finding: “Regardless of their previous experience or recent training, learners still had almost 18,000 things that would have been mistakes had they not been corrected.” This demonstrates the critical need for personalized training that identifies and rectifies these hidden knowledge gaps.

4. Amplifire Uniquely Identifies and Corrects Confidently Held Misinformation^®

Amplifire stands out in its ability to detect CHM^® at an individual level and correct it effectively, making it a vital tool for personalized learning. The platform uses an algorithm based on cognitive science research to identify instances where learners are confident in incorrect information. This is a game-changer for healthcare organizations, where traditional training platforms often overlook these hidden areas of misunderstanding.

The power of Amplifire lies in its capacity to uncover these dangerous gaps and then correct them in a way that ensures long-term retention. The algorithm does this by leveraging cognitive triggers like delayed feedback, priming, spacing, and repetition among others.

As Matt Hays noted, “The Amplifire algorithm leverages research in cognitive science, especially phenomena that run counter to how it feels like teaching works best or how it feels like learning is most effective.” In other words, the system uses evidence-based methods that may not always feel intuitive but are proven to correct misinformation and help people learn faster and remember longer.

5. Personalized Learning Saves Time While Enhancing Effectiveness

A common concern about personalized learning is that it might be more time-consuming than traditional methods. However, Amplifire’s adaptive learning platform actually accelerates the training process. By focusing only on the material that learners don’t already know or are unsure about, the platform allows them to bypass unnecessary content and spend their time more efficiently.

This efficiency translates into shorter training times without sacrificing quality. Clinicians are able to achieve mastery faster because they aren’t wasting time on concepts they’ve already learned or trudging through generalized content. For healthcare organizations, this means less time spent in training and more time for clinicians to focus on patient care and billable hours.

6. Satisfied Clinicians Lead to Improved Patient Care and Operational Efficiency

The ultimate goal of personalized EHR onboarding is to make clinicians more efficient in their use of the EHR system. When clinicians can quickly and accurately navigate the system, they have more time to dedicate to patient care. This, in turn, contributes to better patient outcomes and increased clinician satisfaction. Based on data from KLAS Arch Collaborative, the initial EHR onboarding experience directly correlates to clinician satisfaction metrics, giving health systems a key opportunity to make a difference for their providers’ wellbeing.

Before implementing Amplifire, 71% of UCHealth clinicians reported negative experiences with one-size-fits-all training. With personalized learning, however, their training was streamlined, focused, and respectful of their existing knowledge and expertise. Kelley Williamson shared how providers described their improved learning experience, “They love to be able to say, ‘Let me take my time or let me speed up. And I don’t have to sit in the classroom where the instructor is going through step by step.’ And that’s a really huge satisfier.” And this shift not only improved their satisfaction with the training process but also had a trickle-down effect, improving overall healthcare delivery. 

For healthcare systems that value clinician time, well-being, and patient care, personalized learning through Amplifire is an essential tool for achieving both operational efficiency and high-quality care.

UCHealth’s adoption of Amplifire’s adaptive learning platform illustrates the profound impact of personalized, data-driven training on clinician performance and satisfaction. By addressing confidently held misinformation, speeding up the learning process, and tailoring the experience to individual needs, Amplifire has helped UCHealth improve operational efficiency and boost clinician satisfaction. To learn more about how UCHealth transformed their EHR onboarding process with Amplifire, access the webinar recording and see how personalized learning can revolutionize your organization’s approach to training.

Personalized EHR onboarding: Data-driven strategies for efficiency and satisfaction

Beckers Webinar, September 2024

Nearly half of physicians continue to be affected by burnout, according to recent findings from the American Medical Association. Reducing the administrative burden and operational inefficiencies faced by physicians, including those related to the EHR, remains a crucial priority for hospitals and health systems. 

Leaders from Aurora, Colo.-based UCHealth understand that supporting physicians’ well-being starts on day one. During this live virtual session, experts will discuss how allowing physicians to choose their own onboarding journey improved new physician satisfaction at UCHealth, and how adaptive learning provides flexibility, efficiency, and confident mastery of the EHR.

Featuring:

PANELISTS:
Kelley Williamson
Director, IT, UCHealth 

Matthew Hays, PhD.
VP, Research and Analytics, Amplifire

MODERATOR:
Anne Hyland, Healthcare Client Solutions, Amplifire  

Fill out the form below to watch the webinar:

Advancing Clinician Training: A Conversation with Tampa General Hospital

Advancing Clinician Training: A Conversation with Tampa General Hospital

In this episode, Rachel Feinman, VP of Innovation at Tampa General Hospital, discusses how they’re using new approaches to address the shortcomings of traditional methods. Austin Smith, Director of Alliance Development at Amplifire shares how their work aligns with these trends. They also explore the importance of staff resiliency and how Tampa General Hospital is supporting their team members’ well-being.

Tampa General Hospital recently joined the Healthcare Alliance, a consortium of over 30 health systems and hospitals working together to improve the learning experience, reduce costs, improve clinical performance, and build the workforce of the future.

How Innovative EHR Training Can Improve Clinician Well-being

Healthcare is experiencing widespread burnout. Through extensive research, a group of healthcare organizations committed to improving the EHR experience through shared research, standardized surveys, and benchmarking, has identified EHR-related factors as burnout contributors. But the good news is, pinpointing specific EHR experience factors, like tool inefficiency, lack of training, poor proficiency, allows for directed intervention and improvement. 

Hear how experts delve into the realm of EHR training, sharing insights on successful strategies and pitfalls to avoid. 

Featuring:

PANELISTS:
Jenna Anderson
Strategy and Operations Director, Arch Collaborative 

Erin Banaszak
Supervisor, PROpel Team, Enterprise Clinical Informatics, Froedtert

MODERATOR:
Anne Hyland, EHR Program Director, Amplifire  

Fill out the form below to watch the webinar:

Transforming Initial EHR Education: A Partnership between UW Medicine, Tegria, and Amplifire

Summary: UW Medicine’s EHR Education Plan

Case Study from KLAS Arch Collaborative

In 2022, UW Medicine faced a staffing crisis with high turnover rates, so they undertook a comprehensive review of their onboarding training program. Recognizing the need to expedite clinician onboarding without compromising quality, UW Medicine evaluated traditional eLearning as well as adaptive learning, which combines adaptive functionality with cognitive, science-based techniques to expedite the learning process, forge long-lasting retention, and promote seamless real-world applications. They made the strategic decision to adopt adaptive learning and partnered with Amplifire.

The Amplifire platform offers proficient clinicians a faster path to progression, and those who need more support receive a personalized learning experience. Amplifire’s analytics also provide insights into learner performance and content effectiveness. The implementation occurred in phases, guided by a steering committee and supported by Tegria. Tegria played a pivotal role by advising, curriculum mapping, mentoring, authoring content, and facilitating feedback sessions. Since the Amplifire implementation, the platform has revealed knowledge disparities, saved significant time, and generated positive learner feedback. The success of the phased approach, resource allocation, and collaboration between UW Medicine and Tegria contributed to Amplifire’s effectiveness in addressing the staffing crisis and improving onboarding efficiency.

Background

Findings

How UW Medicine benefitted from the Amplifire implementation:

• Amplifire analytics: These analytics gave visibility into learner knowledge, revealing a blend of confidently held misinformation, uncertainty, and mastery across different courses. This information brought to light that many people would have gone to the floor unprepared.
• Time savings: UW Medicine’s instructor-led courses were up to eight hours long, but once the content was transformed and placed into Amplifire, a learner’s training time was trimmed to an average of two hours. This information led the teams to realign UW Medicine’s onboarding training strategy and timeline, figuring out how to optimally use the extra time and send clinicians to the floor faster.
• Learner feedback: The feedback collected via surveys was overwhelmingly positive. The main themes from the learners’ feedback included these points:
  • The Amplifire training saved time because clinicians no longer had to review content they already knew
  • Learners gained UW Medicine–specific knowledge
  • Individuals who were skeptical of the new platform recognized its value since the system conveniently walked them through the necessary tools

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

4 Key Takeaways from the recent Becker’s Healthcare Webinar: How Innovative EHR Training Can Improve Clinician Well-Being

As we are all aware, healthcare is experiencing widespread burnout, with a staggering 77% of healthcare providers reporting varying degrees of stress or burnout. Through extensive research, the KLAS Arch Collaborative, a group of healthcare organizations committed to improving the EHR experience through shared research, standardized surveys, and benchmarking, has identified EHR-related factors as burnout contributors. But the good news is, pinpointing specific EHR experience factors, like tool inefficiency, lack of training, poor proficiency, allows for directed intervention and improvement. 

Recently, during the Becker’s Healthcare webinar titled “How Innovative EHR Training can Enhance Clinician Well-being,” experts delved into the realm of EHR training, sharing insights on successful strategies and pitfalls to avoid. Jenna Anderson, representing the KLAS Arch Collaborative, presented illuminating data on optimizing the EHR experience through personalized training and enhanced user engagement. Erin Banaszak provided a compelling glimpse into Froedtert Health’s successful journey in EHR training transformation. 

For healthcare systems looking to reinvent their approach to EHR training with the goal of elevating clinician satisfaction, well-being, and overall organizational effectiveness, this article offers four essential takeaways from the enlightening webinar.

1. The experience with initial EHR education is critical to clinicians’ overall satisfaction.

First impressions are everything — even (and especially) when it comes to EHR training and onboarding. Data suggests that use of a certain EHR vendor doesn’t guarantee user satisfaction. So, if it’s not the vendor creating this varying experience, what is it? 

KLAS dove deeper into the connection between EHR experience and EHR education. Using a Likert scale, KLAS measured how well initial EHR education prepared clinicians to use the EHR. Correlating those responses with a user’s Net EHR Experience Score (ranging from -100 to +100), users who strongly agree that their initial training prepared them well score 78.0, whereas users who strongly disagree that their initial training prepared them well score a -17.3. This revealed a 95-point difference in user satisfaction — just based on initial training! That difference reveals a major opportunity for improvement. 

image: https://klasresearch.com/archcollaborative/report/key-drivers-of-clinician-ehr-satisfaction/467

2. Clinicians want more training! But there’s a catch.

To the survey question asking respondents if they want more EHR training, over half said they do! As surprising as it is to see that result, it comes with a big catch. It’s likely that of the clinicians who responded “yes” to more training, they aren’t imagining signing up for more timein a classroom. 

In other words, more training doesn’t mean longer training. More training means more high-quality training. As a follow-up to this survey, Jenna Anderson, strategy and operations director from KLAS Arch Collaborative, shared provider feedback about what kind of training they wanted more of. Responses included: “better training up front and subsequently,” “more videos,” “improved specialty-focused training,” and “better access to training materials.” 

If an organization’s training is not meeting clinicians where they are, it doesn’t mean training doesn’t work. It means training needs to be better, because clinicians want effective, efficient training. This also applies to the 46% of respondents who replied that they didn’t want more training, assuming the training experience was lacking to them in some way.  

3. Online learning that prioritizes science-based retention methods is the biggest differentiator in terms of time savings.

Data indicates that self-directed eLearning has the biggest impact on time savings (above other forms like virtual instructor-led training or classroom training), but when powered by brain science-based methodology, it boosts results. 

KLAS data indicates that 91 EHR minutes are saved per week for every one hour of training with self-directed eLearning, whereas the next closest category, in-person one-on-one training saves just 72 minutes. EHR minutes saved are minutes given back to the clinician to focus on what they want to do most: provide high-quality care.  

image: https://klasresearch.com/archcollaborative/report/clinician-training-2023/480

When this self-directed eLearning takes the form adaptive, personalized learning powered by brain science-based learning methodology, it cuts training time even more, targets knowledge gaps, and ensures proficiency, translating to even less time spent in the EHR. For FroedtertHealth, who used self-paced online learning via LMS, switching to adaptive online learning shaved an additional 50% from training time, getting clinicians back on the floor faster, helpingmore patients, and logging more billable hours. This also ties right back to the fact that clinicians want more training. If training is personalized and adapts to each learner’s needs, they learn only what they don’t already know, maximizing training efficacy and boosting the clinician experience by not wasting their time. 

4. Robust data and learner insights impact clinician satisfaction and well-being.

Robust learner analytics are the key to doubling down on learning personalization and training optimization. When organizations have access to hidden insights, such as pinpointed knowledge gaps, learner struggle, and confidently held misinformation, they can create individualized remediation plans for specific learners — getting them the coaching they need, sooner.   

But deep insights like this help health systems optimize their training program at large. Learner insights reveal what prior knowledge their learners have, allowing them potentially place learners on different tracks. For example, Froedtert Health’s learner data pinpointed consistently low levels of struggle among certain clinicians, so those clinicians are placed on an accelerated plan, thus saving time while respecting learners’ expertise. For clinicians that demonstrated high struggle levels, they are placed on a supportive track to ensure they get the learning they need to be highly proficient. This is different than simply asking if clinicians have prior experience with a particular EHR vendor — some clinicians that indicate that they do have prior experience still demonstrate high levels of struggle. In that case, they will get the support they need (that they may not have otherwise gotten without the deep learner data). From identifying incoming clinician learning trends, they refine their training program to ensure efficiency and efficacy to boost clinician satisfaction. With a training program that is rigorously personalized to clinicians’ needs, their well-being improves. They get the training they want and the learning they need, right when they need it. 

This webinar shed light on effective strategies to improve the EHR experience and, by extension, clinician satisfaction. With key takeaways, including the critical role of initial EHR education, the need for more efficient and personalized training, the time-saving potential of self-directed eLearning, and the power of robust learner insights, healthcare systems have the tools to revolutionize their approach. To delve deeper into these insights and elevate clinician satisfaction and organizational effectiveness, watch the full webinar.