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Are Health Systems Built for Today’s Patients?
HealthSpark Episode 1: Rifat Atun, Professor of Global Health Systems at Harvard University, discusses how data, digital tools, and AI could support more integrated, personalized care models in health systems facing rapid demographic and epidemiological change.
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Digital Health Content That Meets People Where They Are
In an era of rampant online misinformation, improving health literacy and access to credible digital health content is critical.
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HealthSpark: Ignite Your Health Care Leadership
Quick, relevant insights for business professionals, clinicians, scientists, and health care professionals who want to lead change—no matter their role.
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Precision Medicine: From Population Averages to Individual Insight
As data, omics, and AI converge, precision medicine is enabling clinicians to predict disease earlier and deliver truly individualized, preventive, and more effective care.
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The Human Side of AI Innovation in Health Care
Effective AI leadership in health care centers on people, trust, and systems—requiring leaders who pair clinical insight and ethical judgment with the ability to integrate technology thoughtfully into real-world workflows.
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Making AI Matter: A Leadership Playbook for Health Care Organizations
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.
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How Three Harvard Medical School Experts See AI Reshaping Health Care Delivery
AI is reshaping medicine by enhancing care, safety, and education. Experts stress thoughtful use, equity, and human judgment to ensure technology augments, not replaces, clinicians.
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Why Custom Learning Programs are Essential for Health Care Organizations
Custom corporate learning programs are becoming essential for health care organizations, offering education that aligns with strategic priorities, clinical realities, and cultural nuances while directly impacting patient outcomes and system-wide efficiency.
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AI in Clinical Research: Opportunities, Limitations, and What Comes Next
Jamie Roberston says it is critical for people who are interacting with AI as part of clinical studies to be knowledgeable about the right and wrong applications.
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Three Trends Shaping Clinical Research
"People’s priorities have changed. I think a lot of people are no longer willing to go to the doctor and just accept a lower quality of care."
