
๐ฌ Viewpoint by Nina Singh, MD, and Michelle Mello, JD, PhD: The rapid adoption of AI-powered clinical decision support (#CDS) tools in medicine brings new challenges, particularly when these platforms are supported by advertising revenue. Targeted advertisements within CDS interfaces can influence clinician behavior, especially when exposure is high and ads appear adjacent to clinically relevant queries.
While subscription models could mitigate some risks, advertising facilitates broader access for clinicians not affiliated with subscribing institutions. Policies are needed for a clear separation of ads from clinical answers, transparent labeling, strict limits on targeting ads based on specific queries, and ongoing oversight from health systems and professional organizations to ensure ethical standards and avoid bias in clinical decision-making.
https://ja.ma/3RCyDQc
While subscription models could mitigate some risks, advertising facilitates broader access for clinicians not affiliated with subscribing institutions. Policies are needed for a clear separation of ads from clinical answers, transparent labeling, strict limits on targeting ads based on specific queries, and ongoing oversight from health systems and professional organizations to ensure ethical standards and avoid bias in clinical decision-making.
https://ja.ma/3RCyDQc
Shared byAlex Silva - 2 days ago
Log in to comment
Loading ..
Related Articles
Combined Helicobacter pylori and FIT Screening: Cost-Effective Colorectal Cancer Prevention
2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for Acute Coronary Syndrome Management
Cost-Effective Gastric Cancer Prevention with Co-Testing in Taiwan: A JAMA Analysis
Growth of Provider-Sponsored Health Plans: Trends and Implications from 2018 to 2023
Comprehensive Network Meta-Analysis on Blood Pressure Drug Discontinuation Rates
Breast Cancer Gene Study Reveals Gaps in High-Risk Screening Recommendations
5
0/100