Spend :01 of your time each Monday morning as Twelve:01 delivers timely tools, trends, strategies, and/or compliance insights for the CME/CE enterprise.
MACg (Medical Affairs Content Generator) is an AI-powered platform that integrates PubMed literature search, AI-assisted drafting, editing, and automated citation management to streamline evidence-based content creation. MACg helps medical students and professionals generate summaries, clinical insights, and scientific documents faster while maintaining accuracy and reference integrity. It supports creation of accredited CME/CE content, abstracts, slide decks, and training materials within a single workspace, reducing the time from research to draft. With direct PubMed access and a built-in editor, users can efficiently synthesize complex medical data into clear educational outputs. For lifelong learners and future clinicians alike, MACg offers an engaging, time-saving tool to elevate scholarly productivity and ongoing medical education.
Penn Medicine’s new CRISP (Clinical Reasoning Insights for Shaping Performance) initiative uses AI-enabled systems to capture and analyze clinical encounters, delivering robust, data-driven feedback to medical students and postgraduate trainees to strengthen clinical reasoning skills. A four-year grant from the American Medical Association supports this precision education project, which moves beyond traditional “one size fits all” training to tailor learning to individual clinician needs. CRISP aims to accelerate the growth of expert clinical decision-making. Enhanced clinical reasoning is directly tied to improved patient care and outcomes, addressing a training challenge that has been difficult to assess objectively. This initiative exemplifies how AI can be applied thoughtfully in medical education to support both learners across the continuum of clinical training.
As we recognize Women’s History Month, it’s a timely reminder that clinical trials – the foundation for diagnosis, treatment, and dosing – have historically underrepresented women, particularly those who are pregnant, postpartum, or in midlife. Because biological sex, hormones, and life stage influence disease risk and treatment response, gaps in representation translate directly into gaps in evidence, and ultimately into inequities in care. Although NIH and FDA policies now require greater inclusion and sex-based analysis, many life stages and disease areas remain understudied. For the CME/CE enterprise, this means critically assessing whether educational content reflects sex- and gender-based evidence, highlights data gaps, and equips clinicians to individualize care when research is incomplete.
