Estimating Physician-Patient Face-to-Face Time with EHR Audit Logs

Presentation Type: Ignite-Style Talk
Presentation Time: 01:30 PM - 01:40 PM

Abstract Keywords: Health Policy, Reimbursement and Affordability, and Sustainability, Health Data Science, Analytical Artificial Intelligence: ML, Digital Pathology, Imaging AI, Predictive Analytics, Governance
Primary Track: Big Data for Health


Accurate estimates of physician–patient face-to-face time are essential for valuing clinical work, yet current survey-based approaches are burdensome and potentially inaccurate. We present a feasibility study applying paired EHR audit logs and multimodal visit data from the Penn Observer Repository to validate estimates of outpatient face-to-face time derived from audit logs. Preliminary algorithm development and validation demonstrate the potential for scalable, reusable tools that could modernize physician time measurement and inform future payment policy.

Speaker(s):
Nate Apathy, PhD
University of Maryland

Author(s):
Nate Apathy, PhD - University of Maryland;

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Automating Preventive Care: Leveraging CRM to boost colorectal cancer screening completions with bulk ordering protocols

Presentation Type: Ignite-Style Talk
Presentation Time: 01:40 PM - 01:50 PM

Abstract Keywords: Outcomes Improvement and Equity, Population Health, Digital Therapeutics, Remote Patient Monitoring (RPM), and Digital Engagement, Workforce Automation, Communication, and Workflow Efficiency, Analytics, Registries, and the Digital Command Center
Primary Track: Advancing Wellness for Providers and Community with Consideration of Human Factors


This project demonstrates the use of an EHR-integrated CRM platform to automate outreach and bulk ordering of at-home colorectal cancer screening kits for patients aged 45–49. By leveraging digital engagement tools and an opt-out strategy, we improved screening uptake in a traditionally under-screened population. This presentation will highlight the opportunity of automation in preventive care.

Speaker(s):
Peter Kleinschmidt, MD
UW Health

Author(s):
Peter Kleinschmidt, MD - UW Health; Courtney Blumenstein, BS - UW Health; Kirsten Abramson, MD - University of Wisconsin-Madison; Kari Brotzmann, MS - UW Health; Joseph Prieve, BS - UW Health; Brandi Withrow, MS - UW Health; Tayler Schlottman, BA - UW Health; Jeffery Pothof, MD - University of Wisconsin-Madison;

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Unleashing the hidden networks in the EHR by visualizing order transmittal

Presentation Type: Ignite-Style Talk
Presentation Time: 01:50 PM - 02:00 PM

Abstract Keywords: Human Factors and Usability, Change Management, Workforce Automation, Communication, and Workflow Efficiency
Primary Track: Advancing Wellness for Providers and Community with Consideration of Human Factors


Modern electronic health records complete orders in a context-dependent manner. The Epic electronic medical record stores this context-dependence as a series of questions leading to a list of tasks. This can be represented as a directed acyclic graph. We present a software package for converting xml files into node and edge lists and apply it in a QA case study to visualize the order transmittal graph via Cytoscape.

Speaker(s):
Rohith Palli, MD, PhD
University of Washington

Author(s):
Rohith Palli, MD, PhD - University of Washington; Noah Hoffman - University of Washington;

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Implications for Mandated Case Reporting to Public Health by Healthcare Providers: Insights from a Pilot Study on Electronic Case Reporting (eCR) Implementation

Presentation Type: Ignite-Style Talk
Presentation Time: 02:00 PM - 02:10 PM

Abstract Keywords: Public Surveillance and Reporting, Environmental Exposure, & Global Health, Standards, Terminology, and Interoperability, TEFCA, FHIR, Change Management
Primary Track: Implementing Real-World Change, Digital Engagement, and Connected Health


This ignite-style presentation will share insights on implementation of Electronic Case Reporting (eCR), a national standards-based and automated method of reporting mandated conditions to public health. The findings are based on a pilot study of qualitative interviews with nine professionals across health care systems, a vendor and public health. The results point to facilitators and barriers in scaling the adoption of eCRs and reaping the full benefits of this tool.

Speaker(s):
Sripriya Rajamani, MBBS, MPH, PhD, FAMIA
University of Minnesota

Author(s):
Sripriya Rajamani, MBBS, MPH, PhD, FAMIA - University of Minnesota; Chanhee Kim, PhD Candidate - University of Minnesota; Jacqueline Cassman, MPH - Minnesota Department of Health; Aasa Dahlberg Schmit, B.Sc. - HLN Consulting; Sarah Solarz, MPH - Minnesota Department of Health;

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Decoding Danger: Using Large Language Models to Improve Incident Report Workflow

Presentation Type: Ignite-Style Talk
Presentation Time: 02:10 PM - 02:20 PM

Abstract Keywords: Generative AI in Clinical Workflow: Ambient Listening, Chart Summarization, Automated Response with LLM, Workforce Automation, Communication, and Workflow Efficiency, Outcomes Improvement and Equity
Primary Track: Advancing Wellness for Providers and Community with Consideration of Human Factors


Manual review of hospital incident reports creates significant administrative burden. This study evaluates the use of Large Language Models (LLMs) to perform a "first pass" triage, classifying narratives as "Concerning" or "Not Concerning." By successfully highlighting high-priority targets, this approach demonstrates that LLMs can streamline safety workflows, allowing teams to focus immediate attention on critical events while decreasing overall review time.

Speaker(s):
Alexander Kostrinsky-Thomas, DO
UCSF

Author(s):
Alexander Kostrinsky-Thomas, DO - UCSF; Xinran Liu, MD, MS, FAMIA - UCSF;

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Breaking Barriers: A No-Code Approach to AI Training for Clinical and Biomedical Experts

Presentation Type: Ignite-Style Talk
Presentation Time: 02:20 PM - 02:30 PM

Abstract Keywords: Education and Training, Leadership and Strategy, Innovation Partnerships, Implementation Science, and Learning Health Systems
Primary Track: Driving Change at Scale through Effective Leadership and Governance


Artificial intelligence is reshaping biomedical research, yet most training programs assume computational expertise, leaving domain experts behind. AIPassport program addresses this gap with an innovative, no-code curriculum grounded in experiential learning and shared knowledge principles. The program delivers 49 microskills across six AI domains—ethics, data-centric AI, machine learning, imaging, and generative AI—through the SPACER framework (See–Practice–Share–Reflect) and engages participants in peer learning and mentored impact projects.

Speaker(s):
Yulia Levites Strekalova, PhD
University of Florda

Author(s):
Azra Bihorac, MD, MS, FCCM, FASN - University of Florida; Ashish Aggarwal, PhD - University of Florida; Benjamin Shickel, PhD - University of Florida;

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Harmonizing Biomedical Data for Clinical Research: BTRIS User-Facing Ontology

Presentation Type: Ignite-Style Talk
Presentation Time: 02:30 PM - 02:40 PM

Abstract Keywords: Human Factors and Usability, Standards, Terminology, and Interoperability, TEFCA, FHIR, Quality Informatics and Lean, Health Data Science
Primary Track: Implementing Real-World Change, Digital Engagement, and Connected Health


The growth of biomedical data has made it difficult to retrieve accurate, complete, and clinically meaningful datasets. To address this challenge, we designed and implemented the Biomedical Translational Research Information System User-Facing Ontology framework to harmonize heterogeneous data sources and streamline search and retrieval for clinical researchers at the National Institutes of Health. Using the medication domain as a model, we created a methodology encompassing data ingestion, transformation, curated mapping to standards and UI design.

Speaker(s):
Andrea Beri, RN, MAS, MPH
The National Institutes of Health

Author(s):
Narayana Surampudi, PhD - National Institutes of Health; Tamara Shapiro, RN, MSN - The National Institutes of Health; Winnie Trang, RN, MSN - The National Institutes of Health; Jon McKeeby, D.Sc., MBA - The National Institutes of Health; Andrea Beri, RN, MAS, MPH - The National Institutes of Health; Danielle Przychodzin, PharmD - National Institutes of Health;

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