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

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Amplifire’s adaptive learning platform drives transformational EHR training success at Ochsner Health

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

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Amplifire’s adaptive learning platform drives transformational EHR training success at Ochsner Health

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  • 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.

  • 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

    Program Goals

    • Improve training efficiencies so clinicians can get to the floor sooner
    • Increase learner satisfaction in EHR training

    Organizational Outcomes

    • 14 percentage point increase in nurse training satisfaction for those in revised classroom training
    • 18 percentage point increase in nurse training satisfaction for the Amplifire pilot group
    • 75% reduction in training time for nurses
    • 50% reduction in training time for providers

    Cost to Implement

    0 – No Cost
    $ – One time Cost
    $$ – Budgeted Cost
    $$$ – Board-Approved Cost

    Implementation Timeline

    0–6 Months
    6–12 Months
    12–24 Months
    2+ Years

    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

  • Amplifire, new member of the KLAS Arch Collaborative, shares exciting results around EHR training at 2023 Learning Summit

    BOULDER, Colo., Aug. 2, 2023 /PRNewswire/ — Knowledge Factor, Inc. (“Amplifire“), the leading adaptive eLearning and content creation platform leveraging advances in brain science, and sponsor of the Healthcare Alliance, a growing consortium of over 25 world-renowned U.S. health systems, was honored to present at the 2023 KLAS Arch Collaborative Learning Summit in Salt Lake City, Utah, sharing results around electronic health records (EHR) training. As a new member of the Arch Collaborative, Amplifire joins hundreds of healthcare organizations revolutionizing healthcare quality by improving the EHR training experience. The Summit was Amplifire’s first opportunity to contribute to this initiative through partnerships and shared performance data.

    Anna Eissenberg, Client Engagement Director, Amplifire, and Lindsay Coffman, Interim Director Clinical Informatics Education and Adoption, Providence, presented “Reimagining Epic Onboarding with Cognitive Science and Data.” Providence shared their transition from in-person training to online learning as part of a blended learning strategy with Amplifire to remedy costly training that lacked data insights. For inpatient nursing, they achieved a 41-48% training time reduction, saving $667,317 in Q1 2023. Learner analytics identified knowledge gaps and helped optimize the training experience and improve course content. Notably, clinician satisfaction metrics improved.

    At the Learning Summit, a presentation by University of Washington and Tegria Healthcare & Technology Services also highlighted results from Amplifire-based EHR training. Keynote speaker Dr. Brent James, Amplifire Clinical Innovations Advisory Board Chairman, discussed tools that drive dramatic clinical change.

    “The Amplifire team was thrilled that Healthcare Alliance members, Providence and UW Medicine, shared their insight among other thought leaders within the Arch Collaborative. Peer-to-peer guidance and inspiration are hallmarks of the Learning Summit, and Amplifire is gratified to empower a growing number of innovative health systems. Like KLAS, Amplifire is committed to improving caregiver wellness by enhancing training effectiveness and the learner experience,” noted Dr. Bryan Bushick, General Manager, Healthcare Alliance, and Amplifire’s Chief Healthcare Innovation Officer.

    “KLAS is thrilled to have Amplifire as a part of the Arch Collaborative community and looks forward to measuring Amplifire’s impact on clinician experience. As a provider-led effort, the Arch Collaborative is supported by EHR vendors, professional services firms, and third-party education tools, like Amplifire, to share, learn, and improve the healthcare industry,” said Jenna Anderson, Strategy and Operations Director, Arch Collaborative.

    Amplifire was also included in the recent KLAS report “EHR Education Software and Services: A Guide to Vendor and Firm Offerings.”

    About Amplifire
    Amplifire is a next-generation learning platform with more than four billion interactions and is an innovator in high-stakes training for critical roles. The Amplifire platform harnesses advances in cognitive science to create personalized learning and drive successful outcomes. The platform’s adaptive algorithm guides millions of learners to mastery across healthcare, government, and other segments, providing unique analytics that offer valuable learner insights.

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