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Exploring the science, practice, and business of medicine.
Exploring the science, practice, and business of medicine.
Showing 10 out of 508 Insights
Strategic AI adoption in health care depends less on the technology itself and more on evidence-based decision-making, thoughtful leadership, and cultures that align innovation with real clinical workflows.
By applying behavioral science, data, and emerging AI tools, clinicians and researchers can bridge the gap between medical innovation and real-world use—designing personalized, scalable interventions that improve adherence, outcomes, and population health.
MedEdPearls January 2026: Intentional Identity, Community, and Growth in Medical Education
A new educational initiative at the Universidad Tecnológica del Perú is addressing critical physician shortages in Peru through advanced biomedical coursework, immersive clinical training, and faculty development.
In this Harvard Macy Institute blog post, the vital role of mentorship in medical training is discussed.
As health care grows more complex, clinician-leaders must go beyond clinical expertise to cultivate purpose-driven, data-informed, and collaborative leadership that advances quality, safety, and trust across their organizations.
MedEdPearls December 2025: Human-Centered Guidance for AI Integration
In this Harvard Macy Institute blog post, the impact of artificial intelligence on reimagining medical school prerequisites, shifting emphasis from rote memorization toward data literacy, ethical reasoning, and human-centered competencies, is discussed.
MedEdPearls November 2025: Bridging Silos in Health Care Education
Mastering the basics of data analysis empowers early-career researchers to turn uncertainty into confidence and strengthen the quality of their scientific work.