AI in Healthcare - Balancing Risk and Opportunity
Class Experience Level
Beginner, Intermediate

This class is no longer accepting registrations

Technology is advancing at a rapid pace in what can feel like every sector of our lives, and healthcare is not exempt. In healthcare settings, AI assists in detecting, predicting, and monitoring health status, conditions, and behavior and assists in processes related to direct healthcare delivery. Amidst excitement, there is also growing concern around how AI can pose significant potential risk and harm across healthcare systems. How ought organizations, regulators, software vendors, and individual practitioners respond to these risks while still utilizing and appreciating the benefits of these technologies? A comprehensive solution is urgently needed in the AI space because practitioners and healthcare leaders are determined to realize the benefits and efficiencies of these technologies right now. Yet, standard processes that ensure human touchpoints, thoughtful consideration, and application of ethical principles to algorithm utilization are often underutilized or completely absent. Due to the lack of these processes and limited regulatory guidance, healthcare organizations are now working to fill the gap so they can use these tools responsibly. This talk provides practical guidance on how to start creating a system for the ethical use of AI so healthcare organizations can mitigate risks of AI and leverage it as a beneficial tool. 

Speaker

Dr. Lindsey Jarrett is the Vice President of Ethical AI Services at The Center for Practical Bioethics. Her team focuses on ethical decision making in technology development and how it impacts healthcare organizations, those they serve, and society at large. Dr. Jarrett has extensive experience in program management, research, and executive consultation across the non-profit, academic, for-profit, and government sectors. As a social scientist she has worked to provide evidence-based interventions, practices, and processes to underserved communities as they interact with the numerous systems (e.g., healthcare, education, community programs) across their life span. Her work as a clinical researcher has also improved clinical decision making for providers in the areas of opioid safety, infection control, readmission prevention, maternal mortality, social determinants of health, and post-acute care. Her work across various sectors has created several collaborative initiatives and projects to positively impact the field of clinical research and assist stakeholders in implementing evidence-based practices across healthcare, education, and program development. Dr. Jarrett holds a PhD in Therapeutic Science from the University of Kansas and currently resides in Kansas City, Missouri.

This presentation addresses increasing health information access and use and the NLM initiative of supporting the public's health: clinical systems, public health systems and services and personal health by discussing ethical considerations when using AI in healthcare.

This class is for educational and informational purposes in alignment with NNLM goals and does not offer medical advice.

 By registering for this class, you are agreeing to the NNLM Code of Conduct

Objectives:

1. Identify the types of AI use cases in healthcare.

2.  Evaluate the risks associated with the use of AI in healthcare.

3. Apply ethical principles to the development and use of AI in healthcare.


 

Class Details

Date(s): July 10, 2024
Time: 11:00 AM - 12:00 PM EDT
Platform: Zoom
CE Credits: 1.00
CE Categories: CHIS Level 2
Class Experience Level: Beginner, Intermediate
This class is sponsored by Region 3.
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Class Contacts

Host/Instructor: Katie Pierce Farrier
Technical Assistance: Brandon Kennedy

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