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Ethical Considerations in Automating Medical Writing Workflows
The advent of AI has brought with it many ethical concerns from medical writers and other stakeholders.

Elizabeth Patterson
Apr 8


Evaluating Your Medical Writing Department Menu of Services in the Age of AI
Instead of focusing on shrinking teams, medical writing leaders should use AI to expand their department’s scope and strategic value.

Jeanette Towles
Mar 18


Staff Retention: The Hidden KPI for Adoption of AI-Enabled Medical Writing
When implemented thoughtfully, AI can enhance job satisfaction, improve digital employee experience (DEx), and foster a great workplace culture.

Jeanette Towles
Mar 18


Unlocking the Power of Zero-Shot and Few-Shot Learning in AI-Enabled Medical Writing
Zero-shot and few-shot learning are techniques that allow AI models to interpret, categorize, and apply information with minimal or no prior examples.

Jeanette Towles
Feb 4


Good Machine Learning Practices (GMLP): Extending GxP Principles in AI-Enabled Healthcare
The integration of artificial intelligence (AI) and machine learning (ML) in healthcare has transformed how medical technology is developed, evaluated, and deployed. This innovation calls for adherence to rigorous quality standards to ensure safety, efficacy, and compliance. While traditional Good Practice (GxP) guidelines—such as Good Manufacturing Practice (GMP), Good Clinical Practice (GCP), and Good Laboratory Practice.

Jeanette Towles
Jan 21


Designing an Audit Trail for AI in Clinical Trials: Aligning with the EU AI Act
As artificial intelligence (AI) continues to transform clinical trials, ensuring transparency, accountability, and compliance has become critical. Central to achieving these goals is the implementation of a robust audit trail system.

Jeanette Towles
Jan 21
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