The purpose of this educational activity is to provide a primer on common health disparities and challenges to make healthcare more equitable through big data machine learning artificial/augmented intelligence and big data. The presentation will also provide examples of how AI and ML can contribute or exacerbate health disparities. One key challenge is the issue of bias in AI and the presentation will highlight how these biases are engendered and offer solutions to overcoming bias in healthcare-related AI. The presentation will end with future directions to make AI fulfill its promise as a transitional tool, one that effectively translates discovery to treatments and solutions for all.
Target Audience
Everyone in the healthcare and public health ecosystems (patient provider, payer, industry, and policymakers). Due to cross-cutting nature of the presentation, it is likely that data scientists, engineers, and technologists will find this presentation informative.
Learning Objectives
After completion of this activity participants will be able to:
- Identify 3 health disparities in cardiovascular health, cancer, kidney disease, and dermatological disease.
- Describe how poor assessment, diagnostic and treatment among racial/ethnic minorities lead to health disparities.
- Discuss how Machine Learning can improve assessment, diagnosis and treatment customization and adherence.
- Recognize cautionary topics that must be taken into consideration (such as AI bias).
- Identify emerging topics in Machine Learning and how they can solve additional health disparities.
Faculty
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Azizi Seixas, PhD Associate Professor, Department of Psychiatry and Behavioral Sciences University of Miami School of Medicine |
European Accreditation Council for Continuing Medical Education (EACCME)
EACCME Accreditation has expired
American Association for Respiratory Care (AARC) Accreditation
AARC Designation Statement
This Non-traditional program has been approved for 1.0 contact hour Continuing Respiratory Care Education (CRCE) credit by the American Association for Respiratory Care; 9425 N. MacArthur Boulevard, Suite 100, Irving TX 75063 Course #189914000.
How to Obtain AARC / CRCE Credit
Attendees are expected to review all academic materials before attempting to apply for credit. Successful completion of this activity will lead to the issuance of a certificate for 1.0 contact hour of CRCE approved continuing education.
To receive credit, please follow these steps:
- Complete the online registration (registration is free).
- Review all of the academic materials provided.
- Click on the CRCE link to apply for credit.
- Complete the online test and/or evaluation. Participants must receive a test score of at least 70% and answer all evaluation questions to receive a certificate.
- Qualified applicants will be provided with an online (printable) CRCE certificate based on their attendance and satisfactory completion of this academic acitivity.
Term Offering
This activity was released on February 2, 2025 and is valid for two years. Requests for credit must be made no later than February 2, 2027.
The above term offering is for the following accreditations: AARC
