(Unmasking Subjectivity: The Complex World of AI in Pain Assessment) Round III: The Final Debate, Does AI Improve Equity Amongst
After round one and round two, we have grappled with the good, the bad, and the ugly of artificial intelligence. AI will provide new tools to improve our assessment of pain, hopefully avoiding many of the unfortunate ramifications including over and under treatment of pain. AI may also propagate human biases, so if it is used as the sole assessor, it may ensure disparities in outcomes. Where do we go from here? Artificial intelligence is here to stay but the power can be harnessed for both good and bad. During this session, we will foster an interactive conversation with you, the audience, and engage in a sporty debate to discuss both the positives and negatives of artificial intelligence. We will use audience interaction, discussion, polling, and thought-provoking questions to hear how AI has affected multiple practices and how all plan to harness the power of AI for the good of patient care in the future. We will discuss best practices for implementation of AI in the care of the acute and chronic pain patient. Lastly, we will for once and for all answer the question as a group, answer the question: “Does Artificial Intelligence Eliminate Bias and Improve Outcomes for Disadvantaged Groups in Subjective Disease States like Chronic Pain?”
Learning Objectives
- Identify potential benefits and drawbacks of artificial intelligence (AI) in pain assessment
- Explore how AI may impact equity and outcomes for disadvantaged groups in healthcare
- Discover ethical implications of AI integration in subjective disease states like chronic pain
- Discuss with peers to generate ideas on harnessing the power of AI for improving patient care while addressing biases and disparities
- Discuss strategies for leveraging AI technology ethically to promote fairness and inclusivity in healthcare practices
Available Credit
- 1.00 AANP
- 1.00 ACCME (All Other)
- 1.00 ACCME (MD/DO Only)
- 1.00 ACPE Pharmacy
- 1.00 ANCC
- 1.00 APA