AMIA 2020 Virtual Clinical Informatics Conference CME/CNE Information

Target Audience

Clinicians, informatics professionals, and other stakeholders committed to improving healthcare processes, outcomes, satisfaction and efficiency through health IT innovations

Learning Objectives

After participating in the AMIA 2020 Virtual Clinical Informatics Conference, the learner should be better able to:

  • Apply evidence- or experience- based models of informatics practices to improve healthcare
  • Leverage informatics tools to better engage in team-based care
  • Connect emerging trends in health and health IT policy and regulatory efforts that impact care delivery
  • Identify relevant public and population health informatics strategies for prevalent health issues
  • Develop leadership skills and opportunities unique to health informatics professionals
  • Assess and improve the application of health IT infrastructure best practices

This live activity is being planned as a CME and nurse CE activity.

Accreditation Statement

The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Credit Designation Statement

The American Medical Informatics Association designates this live activity for a maximum of 15 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Continuing Education for Nurses

This activity has been submitted to the Maryland Nurses Association for approval to award contact hours. The Maryland Nurses Association is accredited as an approver of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation.

Activity Approval Code: (to come)
Approved Contact Hours: 70 total /15 maximum
Deadline for claiming credit: June 12, 2020, 8:00 a.m. EDT.

Nurse Planner (ANCC-criteria compliance): Juliana J. Brixey, PhD, MPH, MSN, RN

Nurse Planner (Content): Susan C. Hull, MSN, RN-BC, NEA-BC, FAMIA, Chief Health Information Officer, CareLoop, Inc., AMIA 2020 Virtual Clinical Informatics Conference Program Co-Chair 

Juliana J. Brixey and Susan C. Hull disclose that neither they nor their life partners have relevant financial relationships with ACCME-defined commercial interests.

Criteria for Successful Completion
Completion of this live activity is demonstrated by attendance at accredited sessions, completion of the evaluation survey made available post-meeting, with credit claim and certificate download available after submitting the evaluation.

Commercial Support

No commercial support was received for this activity.

Instructions for Claiming CME/CE Credit

  • After the meeting you will receive an email reminder about how to claim credit.
  • Physicians claiming CME and nurses claiming CNE will be able to download a certificate directly from AMIA’s online system.
  • Claim credit by June 12, 2020, 8:00 a.m. EDT.

Other attendees: if you require a certificate of participation, please contact pesha@amia.org

Disclosure Policy

As a provider accredited by the ACCME, AMIA requires that everyone who is in a position to control the content of an educational activity disclose all relevant financial relationships with any commercial interest prior to the educational activity.

The ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.

Faculty and planners who refuse to disclose relevant financial relationships will be disqualified from participating in the CME activity. For an individual with no relevant financial relationship(s), the participants must be informed that no conflicts of interest or financial relationship(s) exist.

AMIA uses a number of methods to resolve potential conflicts of interest, including: limiting content of the presentation to that which has been reviewed by one or more peer reviewers; ensuring that all scientific research referred to conforms to generally accepted standards of experimental design, data collection, and analysis; undertaking review of the educational activity by a content reviewer to evaluate for potential bias, balance in presentation, evidence-based content or other indicators of integrity and absence of bias; monitoring the educational activity to evaluate for commercial bias in the presentation; and/or reviewing participant feedback to evaluate for commercial bias in the activity.

Disclosures here.