The Impact of Scaling Generative AI: Real Data and Unfiltered Perspectives

The Impact of Scaling Generative AI: Real Data and Unfiltered Perspectives

Tuesday, March 4, 2025 12:45 PM to 1:45 PM · 1 hr. (US/Pacific)
Venetian | Level 2 | Venetian F
Views From the Top
Data and Information

Information

By 2030, the U.S. will have a shortage of nearly 100,000 doctors, according to the Association of American Medical Colleges. Clinicians leaving the profession early is a key factor: half report symptoms of burnout and one-third report feeling so burnt out that they are considering quitting. Each year, this costs the U.S. healthcare system $4.6 billion, according to JAMA. In Medscape’s 2024 Physician Burnout and Depression report, 62% of physicians cite clerical tasks like charting and paperwork as the leading cause. Industry studies have shown that generative AI clinical documentation technologies can reduce the amount of time clinicians spend on clerical work as well as have a direct effect on burnout—up to 55% reduction, according to one recent report. These tools can reduce cognitive load during visits and improve patient experiences. Join us for this lively discussion among diversified healthcare system leaders who have deployed generative AI and hear how they addressed the challenges of implementing the new technology enterprise-wide. Panelists will share whether these new technologies work as their proponents claim: by reducing administrative burden, improving clinician wellbeing, tackling burnout, and enhancing patient experiences.

Sub-Topic Category
Artificial Intelligence/Machine Learning
Target Audience
CEO/COOCIO/CTO/CTIO/Senior ITCMIO/CMO
Level
Intermediate
CEU Type
ACHEACPECAHIMSCMECNECPDHTSCPHIMSPMI/PDU
Format
60-Minute Panel Discussion
Learning Objective #1
Describe how generative AI can address clinician burnout by streamlining administrative tasks and improving overall workforce satisfaction, while also identifying the associated benefits and challenges of implementation within healthcare systems
Learning Objective #2
Outline effective frameworks for assessing the efficacy of generative AI tools, enabling informed decision-making on their adoption and integration into clinical workflows
Learning Objective #3
Evaluate the measurable improvements in time-savings, clinician wellbeing, and professional fulfilment resulting from the deployment of generative AI, drawing from real-world case studies presented during the session
Session #
22