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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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Presenter, Slides, and Audio

on-demand-presentation

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Nonmembers: $270 $216*


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Slides and Audio

on-demand-slides

Members: $150 $120*

Nonmembers: $210 $168*


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Association of Concurrent Secure Messages on Clinician Workload

Secure messaging applications are ubiquitously used in clinical settings for clinician communication. We investigated effect of concurrent secure messaging—engaging in multiple conversational threads of communication—on clinician workload. Based on a large-scale study involving more than 2,400 clinicians (physicians, APPs, and trainees) and over 280,000 secure messages, we found that having 2 or more concurrent conversations increased total EHR time spent per day. The effects were significantly higher with an increasing number of concurrent conversations.

Learning Outcome

  • Recognize that conversational multitasking is associated with increased EHR time and a higher number of patient switches; increased clinician workload and cognitive burden.

Speakers

  • Linlin Xia, PhD, Washington University

Toward Relieving Clinician Burden by Automatically Generating Progress Notes using Interim Hospital Data

Regular documentation of progress notes is one of the main contributors to clinician burden. The abundance of structured chart information in medical records further exacerbates the burden, however, it also presents an opportunity to automate the generation of progress notes. In this paper, we propose a task to automate progress note generation using structured or tabular information present in electronic health records. To this end, we present a novel framework and a large dataset, ChartPNG, for the task which contains 7089 annotation instances (each having a pair of progress notes and interim structured chart data) across 1616 patients. We establish baselines on the dataset using large language models from general and biomedical domains. We perform both automated (where the best performing Biomistral model achieved a BERTScore F1 of 80.53 and MEDCON score of 19.61) and manual (where we found that the model was able to leverage relevant structured data with 76.9% accuracy) analyses to identify the challenges with the proposed task and opportunities for future research.

Learning Outcome

  • Explain the significance and tasks involved in automatically generating clinical progress notes.
  • Describe a framework for generating progress notes using interim hospital data.
  • Identify and describe various strategies for evaluating automatically generated clinical notes.

Speakers

  • Sarvesh Soni, PhD, National Library of Medicine (NLM)

Evaluating the Impact of Billing Patient Messages as E-Visits on Clinician EHR Inbox Burden

Following the onset of the COVID-19 pandemic, patient-initiated secure messages to clinicians increased dramatically and has remained at an elevated level. Many health systems have sought solutions to address the resulting clinician EHR inbox burden, including billing for a sub-set of these messages as ""e-visits."" Using EHR metadata from all clinicians delivering outpatient care at UCSF Health, a large academic medical center that implemented e-visit billing in November 2021, from November 2020 to November 2022, we describe clinician adoption of e-visits and use a difference-in-differences framework to identify the impact of e-visit billing on clinician EHR inbox time. We found that physicians, and clinicians practicing in family medicine, dermatology, or internal medicine, billed the most e-visits. Importantly, we found that clinicians in the top quartile of e-visit billing reduced their monthly inbox time by 19.6 minutes, a roughly 5% reduction in overall EHR inbox time, compared to clinicians in the lowest quartile of e-visit billing. These results suggest that clinicians who adopt e-visits more intensively may realize durable reductions in EHR inbox burden, while those who bill fewer e-visits are unlikely to see the same reductions.

Speakers

  • A J Holmgren, PhD, University of California, San Francisco

Digital Overload: A Comparison of Electronic Health Record Time and Inbox Volume among Advanced Practice Providers and Physicians

This study compares electronic health record (EHR) burden among advanced practice providers (APPs) and physicians in ambulatory care settings from a large academic medical center. Using EHR audit log data, our findings suggest that APPs spend more time in the EHR and are responsible for more EHR messages than physicians. Time in the EHR has been highly associated with burnout, and therefore, organizations should address strategies to mitigate burnout among these essential providers.

Learning Outcome

  • Explore differences in ambulatory care provider electronic health record use a month advanced practice providers and physicians.

Speakers

  • Magdalene Kuznia, BSN, MS-HCI, RN, University of California San Francisco

Triaging Inbox Work: An Interview Study with Primary Care Physicians

Through semi-structured interviews with nine physicians we identify four themes in how primary care teams triage inbox work: 1) EHR inboxes require constant triage, 2) team support for triaging and performing inbox work can vary due to having new or distributed team members, 3) the initial triage and later involvement of team members affects how PCPs triage inbox work, and 4) expectations for rapid responses to patient messages contribute to EHR use outside clinic hours.

Learning Outcome

  • Understand how primary care physicians triage their EHR inboxes.

Speakers

  • Adam Rule, PhD, University of Wisconsin - Madison

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.

FAQs

All content was recorded live at AMIA’s Annual Symposium event November 9-13, 2024, in San Francisco, CA. Plan now to join us for the next Annual Symposium!

Yes! Purchase the AMIA 2024 Annual Symposium On Demand Bundle to enjoy all recorded sessions available at the best value. Get the bundle.

Purchase the AMIA 2024 Annual Symposium On Demand Bundlefor the best value on all top 20 sessions. Additional individual sessions are also available for purchase in the catalog.

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.

Yes! AMIA 2024 Annual Symposium On Demand is available for anyone to purchase. Become an AMIA member before you purchase to receive exclusive member discounts. Join AMIA today.

We’re glad you asked! AMIA offers a variety of membership options, all with exclusive benefits and abundant networking opportunities. Choose the membership that’s right for you.

The Audio-only format of all 20 sessions is available free of charge exclusively to AMIA members. Access the AMIA 2024 Annual Symposium On Demand Audio Library. Log in required.

Join us at the next Annual Symposium and engage with leaders from across the health informatics field. Learn more.

Yes! You can claim Self-Study credit when you complete AMIA 2024 Annual Symposium On Demand sessions, in addition to claiming Live credit for attending the live event. View the full details on self-study accreditation for this product.

Yes, The AMIA 2024 Annual Symposium On Demand Bundle (Presenter, Slides, and Audio) may be purchased for 8 educational credits using your health system’s code at checkout. Individual sessions (Presenter, Slides, and Audio) may be purchased for 1 educational credit per session using your health system’s code at checkout.

Available On:
Available Until:
Dates and Times:
Type: AMIA On Demand
Course Format(s): On Demand
Credits:
1.25
CME
,
1.25
CNE
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