AMIA's Annual Symposium is the premier learning and networking conference attended by more than 2,500 health informaticians from across the world. Now, you can access full presentations and slides from the live event at your convenience while earning CME/CNE online.
AMIA 2024 Annual Symposium On Demand is designed to provide you with the very latest health informatics content with maximum value and convenience. Revisit one or all top 20 sessions from the conference, featuring leading voices from across the informatics field. Choose the format that fits your preferred learning style. Take up to two years to claim your education credits. Recorded at AMIA’s Annual Symposium, held November 9-13, 2024, in San Francisco, CA.
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Slides and Audio
Members: $150
Nonmembers: $210
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Integrating AI into Clinical Workflows: A Simulation Study on Implementing AI-aided Same-day Diagnostic Testing Following an Abnormal Screening Mammogram
Artificial intelligence (AI) shows promise in clinical tasks, yet its integration into workflows remains underexplored. This study proposes an AI-aided same-day diagnostic imaging workup to reduce recall rates following abnormal screening mammograms and alleviate patient anxiety while waiting for the diagnostic examinations. Using discrete simulation, we found minimal disruption to the workflow (a 4% reduction in daily patient volume or a 2% increase in operating time) under specific conditions: operation from 9 am to 12 pm with all radiologists managing all patient types (screenings, diagnostics, and biopsies). Costs specific to the AI-aided same-day diagnostic workup include AI software expenses and potential losses from unused pre-reserved slots for same-day diagnostic workups. These simulation findings will inform the implementation of the AI-aided workup at our institution, with future research focusing on its potential benefits, including improved patient satisfaction, reduced anxiety, lower recall rates, and shorter time to cancer diagnoses and treatment.
Learning Outcomes
- Discuss the usage of discrete event simulation to simulate the integration of AI into a complex clinical workflow.
Speakers
- William Hsu, PhD, University of California, Los Angeles
Use of a Digital Handoff Tool to Support Team Coordination
Handoff tools embedded in the electronic health record (EHR) are critical to promoting continuity of care during shift change. In an analysis of hospital medicine providers' use of such a tool across a large academic hospital, we find significant variation in when and how this tool is used. We characterize interdependence between daytime documentation and nightshift behavior, signifying the importance of optimizing use of this tool in practice to achieve consistent, high-quality handoffs.
Learning Outcomes
- Identify behaviors that clinicians use around handoffs.
- Discuss interrelatedness of clinician handoff behaviors.
- Identify future opportunities for research around handoff behaviors using metadata.
Speakers
- Andrew Olson, MD, University of Minnesota Medical School Twin Cities
How Team Structures Impact Primary Care Physicians' EHR Time
Primary care physicians (PCP) spend the most time in the electronic health record (EHR) of any specialty, which is associated with PCP burnout. We used mixed methods to explore the variation in clinical teams across 14 primary care sites and characterize the influence of team structure on PCP EHR time. Our quantitative data showed having set teams is associated with less EHR time, while the qualitative data highlighted the need for consistent staffing.
Learning Outcomes
- Understand the impact of defined and stable clinical teams on PCPs' EHR workflows and satisfaction.
Speakers
- Estelle Martin
Transforming Healthcare Workflows with Robotic Process Automation (RPA): Insights from Champions and Providers
This study explores the integration of Robotic Process Automation (RPA) in Electronic Health Record systems to enhance healthcare workflows, particularly the First Contact Provider (FCP) initiative. Qualitative analysis reveals improved efficiency and FCP protocol adherence post-RPA implementation. Challenges like communication gaps and alert fatigue stress the need for pre-implementation preparation and stakeholder engagement. The study highlights RPA's broader impact on healthcare practices and suggests future exploration of integrating generative artificial intelligence for further enhancements.
Learning Outcomes
- Explain how Robotic Process Automation (RPA) can improve workflow efficiency and adherence to protocols within EHR systems.
- Identify common challenges in RPA implementation, such as communication gaps and alert fatigue, and discuss strategies to mitigate these issues.
- Outline strategies for integrating RPA into healthcare workflows to optimize patient care outcomes.
Speakers
- Tiffany Martinez, BA, NYU Grossman School of Medicine
Glaucoma Clinical Decision Making Workflow
Implementing clinical decision support (CDS) systems for chronic diseases is challenging because the workflows for chronic conditions are often complex, with large amounts of longitudinal data collected from multiple sources. An accurate understanding of complex workflows may increase the likelihood of successful CDS implementation. Glaucoma care is an example of a complex workflow with large amounts of data from multiple sources that are collected over time. We conducted a qualitative study using cognitive task analysis (CTA) and ethnographic observations to create a detailed conceptual model of glaucoma clinical decision making workflow to will support glaucoma CDS development and implementation in the future. We conducted 17 CTA interviews and ethnographic observations. From the CTA interviews and ethnographic observations, we identified key challenges to glaucoma CDS implementation that will need to be addressed for future CDS implementation: (1) Glaucoma data is longitudinal and so integrated temporal data views may improve clinical decision making;3,4 (2) Standards-based interoperability between the various imaging and EHR platforms was an emergent issue from the cognitive task analysis that could be addressed with CDS; (3) Clinicians identified the need to account for unique patient circumstances including emergencies with contingencies as important aspects of the workflow and future CDS will need to account for this; and (4) Facilitation of incoming and outgoing patient referrals is a glaucoma workflow challenge that could be addressed with interoperable, standards-based CDS. The model of glaucoma clinical decision-making workflow will support glaucoma CDS development and implementation in the future.
Learning Outcomes
- Clinicians caring for patients with glaucoma can identify one option to address the challenge of reviewing longitudinal data.
Speakers
- Brian Stagg, MD, MS, University of Utah
Continuing Education Credit
Physicians
The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The American Medical Informatics Association designates this online enduring material for 1.25 AMA PRA Category 1™ credits. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Claim credit no later than January 20, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after January 20, 2028.
Nurses
The American Medical Informatics Association is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center’s Commission on Accreditation.
- Approved Contact Hours: 1.25 participant maximum
- Nurse planner for this activity: Jenna Thate, PhD, RN, CNE
- Jenna Thate discloses that she has no financial relationships with ACCME/ANCC-defined ineligible companies.
Upon completion of each video and corresponding evaluation portion of this activity, all learners will be able to download the appropriate credit certificate, or a certificate of participation.
Claim credit no later than January 20, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after January 20, 2028.
ACHIPsTM
AMIA Health Informatics Certified ProfessionalsTM (ACHIPsTM) can earn 1 professional development unit (PDU) per contact hour.
ACHIPsTM may use CME/CNE certificates or the ACHIPsTM Recertification Log to report 2024 Symposium sessions attended for ACHIPsTM Recertification.
Claim credit no later than January 20, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after January 20, 2028.