AMIA 2024 Clinical Informatics Conference Industry Partner Sessions
uPerform
Empowering Caregivers: Navigating EHR Changes and Upgrades with Confidence at M Health Fairview
Wednesday, May 22 | 11:00 am - 12:00 pm CT
With the flurry and frequency of technology upgrades and changes, many health systems are challenged with delivering high-quality education programs to support caregivers using the technology daily. However, when done well, virtual training has proven to be a scalable solution that can help standardize and even improve the effective delivery of EHR training, enabling caregiver proficiency and satisfaction.
M Health Fairview, an innovator in virtual learning, will share the benefits they’ve witnessed taking a new approach to EHR education, including:
- Expedited Onboarding: While facing one of the largest nursing strikes in the nation, Fairview used self-directed eLearning to guide 1,500 nurses through 18 different nurse learning paths in just 5 days, getting new hires caring for patients faster, without sacrificing the quality of training.
- Smooth Go-Lives and Upgrades: Fairview prepared affiliates to use new technology by scaling training across sites virtually and delivering role-based simulations during a double Epic upgrade.
- Digital At-The-Elbow Support: Faced with a limited number of trainers and a geographically dispersed workforce, Fairview increased adoption of their Epic® eConsent workflow from 7% to 87% by embedding role-based simulations in the flow of work. Epic ASAP, Optime and Coverage also have embedded “how do I” questions, learning materials and insurance information to support users in the workflow.
- Effective Communication: Fairview instills confidence and readiness amongst clinicians by fostering collaboration, multi-channel communication and proactive training strategies, ensuring they feel empowered and well-equipped for change.
- Increased Provider EHR Satisfaction and Positive Feedback: Physicians at Fairview who utilize uPerform self-directed learning have significantly increased satisfaction over physicians who have not.
Join Fairview and uPerform as they share strategies on empowering caregivers with just-in-time learning, saving time in training and getting caregivers back to what matters most — delivering exceptional patient care.
Speakers
- Anne LaFlamme, DNP, RN
Chief Clinical & Nursing Informatics Officer and Vice President of Informatics
M Health Fairview - Derek Harley
System Manager – Learning and Development System Manager
M Health Fairview - Bobby Zarr, CPHIMS
VP of Healthcare Strategy
uPerform
ESBSCO Clinical Decisions
Building a Framework for Responsible Clinical Quality Assessment in a Generative AI CDS Application
Thursday, May 23 | 8:00 am - 9:00 am
Clinical quality assessment in the context of generative AI is a new and evolving field. Responsibly developing generative AI CDS applications requires principles, policy, and benchmarks upon which to build a clinical quality program. In this session we will discuss the development and implementation of such a framework while at the same time making rapid progress in assessing and improving clinical quality in a generative AI CDS application.
NABLA
Pioneering ambient AI in healthcare: Lessons from implementation and strategies for success
We've only begun to see what ambient AI assistants in healthcare can achieve. For the past year, they have shown great promise in mitigating clinician burnout, enabling deeper patient-clinician connections, and enhancing the quality of care. Wondering what ambient AI implementation looks like from the inside, from initial consideration to large scale deployment? In this panel, you'll learn from pioneering physician executives from some of the most prestigious health systems in the country on how they have implemented ambient AI technology in their organization.
The following topics will be addressed:
- Exploring the Investment Landscape: Understand the investments required for integrating ambient AI in clinical documentation and assess ROI in terms of time saved and patient care.
- Tracking Success: Identify performance metrics and strategies for continuous improvement in ambient AI implementation.
- Lessons from Real-World Implementation: Navigate challenges and share practical insights for successful ambient AI integration in clinical settings.
- Managing Change with Clinical Teams: Address cultural shifts and adoption strategies to seamlessly integrate ambient AI into clinical workflows.
- User Feedback Loop: Establish mechanisms for collecting and incorporating user feedback to improve ambient AI systems.
- What’s Next: Envision the future of ambient AI in healthcare and its evolution within organizational frameworks.
Speakers
- Ed Lee, MD, MPH - Chief Medical Officer at Nabla
- Andrew Lundquist, DPM