Image of clinician using AI in clinical setting

2024 Hot Topics in Internal Medicine: Exploring Artificial Intelligence in Your Practice

Middleton, WI US
June 5, 2024
Please Note: This pre-conference workshop (June 5, 2024) will be offered in-person and live-streamed at the Madison Marriott West in Middleton, WI. The workshop will not be recorded for post-conference viewing.

Workshop Overview

We invite you to participate in this interactive workshop and build your skills in appraising specific AI applications, assessing their potential impacts on patient care and outcomes. This comprehensive approach will leave you equipped with enhanced skills and inspired to continue your journey of AI exploration and integration of AI tools into your practice. The presenters will explore a wide range of health-related AI applications, showcasing current uses. We will round out the workshop with a discussion about the ethical and legal AI aspects in healthcare and hopes and fears associated with using AI.

Intended Audience

The primary intended audience for this workshop is physicians, nurse practitioners, physician assistants, and registered nurses. Other members of the clinical team will benefit from participation.

Learning Objectives

As a result of participation in this workshop, learners, as members of the interprofessional team, will increase their ability to:

  1. Describe fundamental principles and concepts underlying AI.
  2. Practice using AI software tools.
  3. Discuss the range of health-related AI applications.
  4. Appraise the ethical and safety issues for healthcare teams and patients raised by various design, implementation, and use scenarios involving AI.
  5. Evaluate specific applications of AI and their potential impact on patient care and outcomes.

Elements of Competence

This workshop has been designed to change learner competence and focuses on the ABMS/ACGME competencies of medical knowledge and system-based practice. This activity also focuses on the interprofessional competency of roles and responsibilities, and diversity, equity, and inclusion competency of addressing health disparities.

Course summary
Available credit: 
  • 3.75 AAPA Category 1 CME
  • 3.75 MOC: ABIM Medical Knowledge Points (Part II)
  • 3.75 ABS Accredited CME
    • 3.75 ABS Self-Assessment
  • 3.75 AMA PRA Category 1 Credit
  • 3.75 ANCC Contact Hours
  • 3.75 University of Wisconsin–Madison Continuing Education Hours
    • 3.75 Approved for AMA PRA Category 1 Credit™
Registration opens: 
03/07/2024
Course expires: 
07/20/2024
Event starts: 
06/05/2024 - 12:30pm CDT
Event ends: 
06/05/2024 - 5:00pm CDT
Cost:
$100.00
Rating: 
0
Agenda

12:30 pm

Lunch and Networking

1:00 pm

Welcome and Introduction

1:05 pm

Origin, Definitions, and Principles of AIPeter Kleinschmidt, MD, FACP

1:25 pm

Guided Exploration: Prompting Generative AI - Peter Kleinschmidt, MD, FACP

1:35 pm

Generative AI: Practical Applications and Real-World Scenarios - David Kunstman, MD; Becky Kohler, MPH, RN-BC

2:05 pm

AI in Medical Imaging - Richard Bruce, MD

2:35 pm

Predictive Models for Clinical Decision Support - Matthew Churpek, MD, PhD, MPH

3:05 pm

Break

3:20 pm

Navigating the Ethical and Safety Challenges Associated With the Use of AI in Healthcare - Yonatan Mintz, PhD

3:50 pm

Bias in Healthcare AI - Anoop Mayampurath, PhD

4:20 pm

Panel Discussion: What Does It Mean for My Team-based Practice?  - Peter Kleinschmidt, MD, FACP; David Kunstman, MD; Becky Kohler, MPH, RN-BC; Matthew Churpek, MD, PhD, MPH; John W. Garrett, PhD; Anoop Mayampurath, PhD; Yonatan Mintz, PhD

4:50 pm

Closing

5:00 pm

End

 

Madison Marriott West
1313 John Q Hammons Dr
Middleton, WI 53562
United States

Richard Bruce, MD

Associate Professor
Vice Chair of Informatics
Informatics Section Chief

Department of Radiology
School of Medicine and Public Health
University of Wisconsin-Madison

 

Dr. Richard Bruce is the radiology Vice Chair of Informatics at the University of Wisconsin-Madison. A large portion of his efforts are devoted to the clinical integration of AI across the entire spectrum of clinical workflows. This includes AI-assisted clinical decision support for ordering medical imaging through integration of AI within imaging modalities for and extends through radiologist interpretive workflows to actionable results communication and follow up within the EHR. There is a significant focus on providing infrastructure, processes, and tools for researchers to support efficient workflows for data discovery and AI model development. UW Radiology has a long legacy of informatics innovation through deep industrial partnerships.  Dr. Bruce is involved in data and workflow integration across multiple partner systems. Dr. Bruce has been actively involved in computing resource and network implementation since the mid-1990s and previously worked as an internetwork engineer for Cisco Systems.

Matthew Churpek, MD, PhD, MPH

Associate Professor
Allergy, Pulmonary, and Critical Care Medicine,
Department of Medicine
Affiliate Faculty,
Department of Biostatistics and Medical Informatics
School of Medicine and Public Health
University of Wisconsin – Madison

Dr. Churpek is an Associate Professor of Medicine in the Division of Pulmonary and Critical Care and Affiliate Faculty in the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison. He is a lead PI of the University of Wisconsin’s ICU Data Science Lab, and his research uses machine learning methods, such as natural language processing and deep learning, to identify patients at risk for clinical deterioration, sepsis, acute kidney injury, and other syndromes of critical illness. Dr. Churpek has been supported by a K08 from NHLBI, an ATS Foundation Recognition Award for Early Career Investigators, a Department of Defense award, and R01 grants from NIGMS, NIDDK, and NHLBI.

John W. Garrett, PhD, DABR

Assistant Professor,
Director of Imaging Informatics
Departments of Radiology and Medical Physics
School of Medicine and Public Health
University of Wisconsin – Madison

Dr. John Garrett is an Assistant Professor and Director of Imaging Informatics in the Departments of Radiology and Medical Physics at The University of Wisconsin-Madison School of Medicine and Public Health. He received his Bachelor of Arts in physics from Middlebury College in 2011 and his masters of science and doctor of philosophy degrees in Medical Physics at the University of Wisconsin-Madison in 2013 and 2017, respectively. His current primary research efforts are in the areas of developing and translating novel artificial intelligence (AI) methods into clinical practice, improving clinical data science infrastructure, and advanced image reconstruction methods for CT and cone-beam CT imaging, especially for acute ischemic stroke.

Peter Kleinschmidt, MD, FACP

Medical Informatics Director of Quality and Safety
Assistant Professor

Division of General Internal Medicine
Department of Medicine
School of Medicine and Public Health
University of Wisconsin – Madison

Dr. Kleinschmidt is a Board Certified Clinical Informaticist and Assistant Professor at the University of Wisconsin (UW). He completed his medical school and residency at UW and currently practices primary care in internal medicine. He is the Medical Informatics Director of Quality, Safety, and Population Health at UW Health and his research focuses on ambulatory medication safety. He also leads the curriculum for the Clinical Informatics fellowship at UW.

Becky Kohler, MPH, RN-BC

Chief Nursing Information Officer
UW Health Information Services

Becky is a Board Certified Nurse Informaticist functioning at the intersection of health care delivery and information systems for 18 years.  Becky is a champion of change and strong advocate for data-driven decision-making and alignment of clinical care,  business systems, technology, and analytics to transform care.  As the CNIO at UW Health, she leads the Nursing Informatics team and the Education, Optimization, and Support teams, as well as partnering and leading key initiatives that provide value to our clinical and operational teams, and support the mission of the organization.

David Kunstman, MD

Clinical Professor
Department of Family Medicine and Community Health
School of Medicine and Public Health
University of Wisconsin – Madison
UW Health Associate Chief Medical Information Officer

Dr. David Kunstman is a Board certified Family Physician and Medical Informaticist utilizing information technology to support the clinical, educational, and research priorities at UW Health for 20 years. As an EHR pioneer, implementing Epic in 2004, he is keenly interested in matching technology advances with clinical workflows. As an Associate Chief Medical Information Officer (CMIO), he has been intimately involved in the UW Health, Epic, and Microsoft partnership to bring large language models to clinical care.

Anoop Mayampurath, PhD

Assistant Professor
Biostatistics & Medical Informatics
School of Medicine and Public Health
University of Wisconsin – Madison

Anoop Mayampurath, PhD, is an informatician and data scientist. He currently co-leads the ICU Data Science Lab at the University of Wisconsin-Madison, with a specific research focus on using electronic health record data combined with machine learning methods to improve the care of hospitalized children.

Yonatan Mintz, PhD

Assistant Professor
Industrial and Systems Engineering
College of Engineering
University of Wisconsin – Madison

Yonatan Mintz is an assistant professor in the Industrial and Systems Engineering department at the University of Wisconsin, Madison. His research focuses on the application of machine learning and automated decision making to human sensitive contexts. One application of his research has been on using patient level data, to create precision interventions . Yonatan is also interested in the sociotechnical implications of machine learning algorithms and has done work on fairness, accountability, and transparency in automated decision making.  In terms of methodology his research explores topics in machine learning theory, stochastic control, reinforcement learning, and nonconvex optimization. Yonatan's work has been recognized as a finalist in the INFORMS Health Applications Society Pierskalla Paper competition, a best poster award from the NeurIPS joint workshop on AI for Social Good, and he has been actively invited to publicly speak about his work in both print and televised media including PBS. His research has been funded by American Family Insurance. Prior to joining UW--Madison, Yonatan was a postdoctoral research fellow at the department of Industrial and Systems Engineering at the Georgia Institute of Technology. Yonatan received his B.S. in Industrial and Systems Engineering with a concentration in Operations Research from Georgia Tech in 2012, and his Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley in 2018.

FACULTY DISCLOSURE

It is the policy of the University of Wisconsin–Madison Interprofessional Continuing Education Partnership (ICEP) to identify, mitigate and disclose all relevant financial relationships with ineligible companies* held by the  speakers/presenters, authors, planners, and other persons who may influence content of this accredited continuing education (CE).  In addition, speakers, presenters and authors must disclose any planned discussion of unlabeled/unapproved uses of drugs or devices during their presentation.

Ineligible companies are those whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on, patients.

The ACCME does not consider providers of clinical services directly to patients to be ineligible companies.

For this accredited continuing educational activity all relevant financial relationships have been mitigated and detailed disclosures are listed below:

CURRENT CONTRIBUTORS

Name

Role

Financial Relationship Disclosures

Discussion of Unlabeled/Unapproved uses of drugs/devices in presentation?

Barbara Anderson, MS

PlannerNo relevant relationships with ineligible companies to discloseNo

Alaa Alsadi, MD

PlannerNo relevant relationships with ineligible companies to discloseNo

David Kunstman, MD

Planner/PresenterNo relevant relationships with ineligible companies to discloseNo

Frank Liao, PhD

PlannerNo relevant relationships with ineligible companies to discloseNo

Neil Munjal, MD, MS

PlannerNo relevant relationships with ineligible companies to discloseNo

Peter Kleinschmidt, MD, FACP

Planner/PresenterNo relevant relationships with ineligible companies to discloseNo
Matthew Churpek, MD, PhD, MPHPresenterNo relevant relationships with ineligible companies to discloseYes
Marianna Shershneva, MD, PhDPlannerNo relevant relationships with ineligible companies to discloseNo

Richard Bruce, MD

PresenterConsultant: Canon Medical Systems USA, Inc.No

John W. Garrett, PhD, DABR

PresenterShareholder: NvidiaNo

Yonatan Mintz, PhD

PresenterNo relevant relationships with ineligible companies to discloseNo

Anoop Mayampurath, PhD

PresenterNo relevant relationships with ineligible companies to discloseNo
Becky Kohler, MPH, RN-BCPresenterNo relevant relationships with ineligible companies to discloseNo

 

 

Discloser List CME Internal Report

Accreditation Statement

Jointly Accredited Provider with CommendationIn support of improving patient care, the University of Wisconsin–Madison ICEP is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC) to provide continuing education for the healthcare team.

Credit Designation Statements

American Medical Association (AMA)

The University of Wisconsin–Madison ICEP designates this live activity for a maximum of 3.75 AMA PRA Category 1 Credits™.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

American Nurses Credentialing Center (ANCC)

The University of Wisconsin–Madison ICEP designates this live activity for a maximum of 3.75 ANCC contact hours.

American Academy of PAs (AAPA)

The University of Wisconsin–Madison ICEP has been authorized by the American Academy of PAs (AAPA) to award AAPA Category 1 CME credit for activities planned in accordance with AAPA CME Criteria. This activity is designated for 3.75 AAPA Category 1 CME credits. PAs should only claim credit commensurate with the extent of their participation.  

American Board of Internal Medicine (ABIM) MOC

ABIM MOC logo

 

American Board of Internal Medicine: Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 3.75 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.

American Board of Surgery (ABS) MOC

ABS MOC logoSuccessful completion of this CME activity, which includes participation in the evaluation component, enables the learner to earn credit toward the CME with self-assessment requirements of the American Board of Surgery’s Continuous Certification program. It is the CME activity provider's responsibility to submit learner completion information to ACCME for the purpose of granting ABS credit.

Continuing Education Units

The University of Wisconsin–Madison, as a member of the University Continuing Education Association (UCEA), authorizes this program for 0.375 continuing education units (CEUs) or 3.75 hours.

 

Available Credit

  • 3.75 AAPA Category 1 CME
  • 3.75 MOC: ABIM Medical Knowledge Points (Part II)
  • 3.75 ABS Accredited CME
    • 3.75 ABS Self-Assessment
  • 3.75 AMA PRA Category 1 Credit
  • 3.75 ANCC Contact Hours
  • 3.75 University of Wisconsin–Madison Continuing Education Hours
    • 3.75 Approved for AMA PRA Category 1 Credit™

Cost:
$100.00
Please login or register to take this course.

$195 ($100 - UW & Affiliates Reduced Fee)

Registration for this activity can only be completed through the ICEP Learning Portal. Attendee registrations made through any other sites cannot be honored. UW-Madison ICEP is not able to refund fees paid through unaffiliated registration sites, such as eMedEvents.com, MedConfWorld.com, EventEgg.com, and 10times.com. Please report any unauthorized websites or solicitations for registrations to help@icep.wisc.edu.

Cancellation and Refund Policy

Requests for cancellation must be submitted in writing to help@icep.wisc.edu. Cancellation requests received at least 120 hours prior to the conference will allow a full refund except for the nonrefundable processing fee of $50. No refunds will be made for cancellations received less than 5 days prior to the activity start date.

Accessibility

The University of Wisconsin provides equal opportunities in employment and programming, including Title IX requirements. The University of Wisconsin fully complies with the legal requirements of the ADA and the rules and regulations thereof. If any participant in this educational activity is in need of accommodations, please notify us at help@icep.wisc.edu

Required Hardware/software

Laptop or smartphone with access to OpenAI. Instructions to follow.