Using Predictive Analytics to Drive Population Health and Equity in Radiology

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Population Health Management Recorded Webinar

Using Predictive Analytics to Drive Population Health and Equity in Radiology

Learn how tracking health patterns in discrete patient populations ensures optimal health outcomes for patients of all backgrounds during the free webinar recording.

Earn 1.0 CME and hear from population health management experts about how proactively detecting health problems before they escalate in specific patient populations is the next frontier in radiology. Speakers discuss the need to address missed care opportunities and social determinants of health to ensure the well-being of all patients.

Instructions to Receive Credit

How to Claim Credit Instructions
In order to successfully complete the activity, participants must complete an activity post-test and evaluation. Participants must receive an 80% or higher score on the post-test. The participant has three attempts to pass the post-test and claim credit commensurate with their participation in the activity.

Contact Information
For information about the accreditation of this program, please contact the 黑料网 at info@acr.org.

Accreditation Statements

Physician Accreditation Statement
The 黑料网 (黑料网) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Physician Designation Statement
The 黑料网 designates this enduring material activity for a maximum of 1.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

ABR Designation
This activity meets the American Board of Radiology's (ABR) criteria for self-assessment activity in the ABR’s Maintenance of Certification Program. Participation in this activity and successful completion of the corresponding evaluation component enables participants to earn up to a maximum of 1.0 SA-CME.

CME Released: 11/22/2021
CME Expires: 11/21/2024

Disclosure Policy
In compliance with ACCME requirements and guidelines, the 黑料网 has developed a policy for review and disclosure of potential conflicts of interest, and a method of resolution if a conflict does exist. The 黑料网 maintains a tradition of scientific integrity and objectivity in its educational activities. In order to preserve these values and ensure its educational activities are independent and free of commercial bias, all individuals, including planners, presenters, moderators and evaluators, participating in an 黑料网 educational activity, or an activity jointly provided by the 黑料网 must disclose all relevant financial relationships with any commercial interest.

Planner/Manager Disclosures
The following planners, managers, and moderators have no financial relationships to disclose:

Ryan Lee, MD, MBA; Chris Hobson, Lisa Gunderman, Nazish Khaliq, Alexis LaCount

Faculty Disclosures
The following faculty members have no financial relationships to disclose:

Arun Krishnaraj, MD, MPH; Farouk Dako, MD, MPH; Andrew Grainger, PhD

Learning Objectives

After completing this activity, the participant should be better able to:

Define the various aspects of patient health surveillance and why they are important to ensuring effective patient follow-up.
Identify opportunities to shore up missed care opportunities and incorporate predictive analytics into day-to-day workflow.
Recognize how image-based screening can be used to segment patients into distinct populations based on risk-stratification.
Describe how quality measures within advanced alternative payment models can incentivize radiologists to more proactively care for their patients.

Moderator

Ryan Lee, MD, MBA

Co-chair, 黑料网 PFCC PHM Committee
Chair, Department of Radiology
Einstein Healthcare in Philadelphia

Speakers

Farouk Dako, MD, MPH

Assistant Professor of Radiology
Perelman School of Medicine
University of Pennsylvania

Andrew Grainger, PhD

Research Associate
Radiology and Medical Imaging Department
University of Virginia

Arun Krishnaraj, MD, MPH

Chair, 黑料网 PFCC Commission
Associate Professor of Radiology
Vice Chair, Quality and Safety
Director, Division of Body Imaging
University of Virginia Health

Patient- and Family-Centered Care

Explore materials to enhance your understanding of—and participation in—new practice and payment models and help you provide more patient- and family-centered care.

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PHM in Your Practice Podcast

Join host Chris Hobson, Senior Communications Manager, Imaging 3.0 at 黑料网, as he and thought leaders from across the field of radiology explore different facets of population health management (PHM).

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