What does meaningful documentation burden reduction look like in practice? Join AMIA's 25x5 Task Force for the next installment of the Spotlight on Solutions webinar series, featuring six innovative posters recognized as 2026 25x5 Stars in Reducing Documentation Burden at the AMIA Amplify Conference.
From ambient AI scribes and generative AI-powered documentation tools to scalable clinical application development frameworks and AI-assisted resident education, these initiatives demonstrate how organizations are leveraging technology, workflow redesign, and implementation science to improve efficiency, reduce clinician workload, and enhance care delivery.
Presenters from leading academic medical centers and health systems will share real-world results, lessons learned, implementation strategies, and practical considerations for adoption. Attendees will hear examples of measurable reductions in documentation time, improved information synthesis, enhanced diagnostic completeness, more effective clinical handoffs, and innovative approaches to building and deploying clinician-centered tools.
Through rapid-fire presentations and an interactive Q&A discussion, participants will gain actionable insights into solutions that are already making a difference in clinical practice today.
Participants will learn:
- How health systems are successfully implementing AI-enabled tools to reduce documentation burden and improve clinician efficiency.
- Strategies for developing, deploying, and scaling clinician-centered solutions within existing EHR environments.
- Approaches to improving clinical communication, information retrieval, and diagnostic documentation while minimizing workflow disruption.
- Practical lessons learned from real-world implementations that can be adapted across diverse care settings.
This free webinar is intended for clinicians, informaticians, health system leaders, operational leaders, educators, and anyone committed to advancing the 25x5 vision of reducing documentation burden and improving the healthcare work environment.
Please note: Continuing education (CE) credits are not available for this webinar.
Why Attend?
- Learn from six recognized posters selected as 2026 25x5 Stars.
- Explore practical applications of ambient AI, generative AI, and workflow optimization tools.
- Discover scalable approaches that can be replicated within your organization.
- Engage directly with innovators who are transforming clinical documentation workflows today.
Moderator:
Featured Presentations
The Internal Startup: A Scalable Framework for Clinical Tool Development and Deployment
To address rigid EHR workflows and slow vendor solutions, the Stanford Emerging Applications Lab (SEAL) created an agile, “embedded startup” model that builds SMART-on-FHIR tools directly within Epic. In just a short time, the team deployed thirteen applications, including a Nutrition Provision tool that reduced task time from 10–15 minutes to 5–10 minutes. Used by 1,984 clinicians across 12,927 patients, SEAL demonstrates how an embedded, rapid-development framework can meaningfully reduce friction and clinician burden.
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Impact of an Inpatient Chart Summarization Tool in a Real-World Clinical Setting
Clinicians must quickly gain a thorough understanding of admitted patients on their service in order to provide the best care. Here, we evaluate the use of a commercially available generative AI tool that summarizes aspects of a patient’s hospitalization. Our results from a one-month pilot of this tool in clinical practice show low level of harm and high accuracy, completeness, reliability, concision, and utility.
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AI-Enhanced Handoff Assessment: Reducing Physician Burden and Improving Resident Education
Successful implementation of the I-PASS handoff framework has consistently led to reductions in medical errors, ¹ but observation and feedback are essential to success. ² Live observations increase supervisors’ workload and vary in quality. We developed a novel AI tool that automates I-PASS element detection in verbal handoffs, reducing cognitive load on observers while providing scalable, consistent feedback for iterative improvement and real-time educational intervention.
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Navigating Complex Build Projects Using Visualizations
Building robust clinical tools within an electronic health record system can result in complicated build architectures with interwoven cascades of EHR elements and dependencies that are challenging to organize, document, and communicate. Visualization techniques such as network diagrams are often used in software development to accomplish these tasks. We present real-world examples of visualizations utilized in the context of complex EHR builds originating from an academic medical center’s clinician builder program.
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Generative AI in Admission Notes and Diagnostic Completeness
Generative AI tools for admission history and physical notes may improve diagnostic completeness, but their real-world performance in inpatient care is unclear. We retrospectively compared AI-generated admission notes with paired provider-authored notes at a large academic medical center. AI drafts showed high diagnostic accuracy (96%) and surfaced additional clinically important, quality-impacting secondary diagnoses absent from provider notes, supporting a human-in-the-loop model for AI-assisted documentation.
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Impact of Ambient AI Scribe on Resident Physician Workflow in Primary Care
Recent studies have shown that AI scribes can improve documentation burden in attending physicians; however, its impact has not been studied widely on trainees. After implementation of an ambient AI scribe tool in clinic, resident physicians spent less time in EHR overall, with a significant decrease in documentation time. This highlights the need for dissemination of AI tools for residents especially in light of significant burnout experienced during medical training.