All Insights
Exploring the science, practice, and business of medicine.
Exploring the science, practice, and business of medicine.
Showing 10 out of 64 Insights
Medical educators who understand how learning works and how to design for it are better prepared to train clinicians in an increasingly complex medical field.
HealthSpark, Episode 19: Ariel Stern, Alexander von Humboldt Professor for Digital Health, Economics, and Policy at the Hasso Plattner Institute and Professor at the University of Potsdam, discusses why so many promising digital health tools fail to move beyond pilot projects and outlines the steps health systems, payers, and industry partners must take to integrate these solutions into routine care for patients and clinicians.
Health systems are embracing digital and AI innovations, but only those aligned with policy, payment, and operations will truly change how clinicians care for patients.
Informed consent is an evolving, trust-building partnership between researchers and participants—one that goes far beyond a signature to ensure true understanding, respect autonomy, and navigate the growing ethical and technological complexities of modern clinical studies.
As the latest technology transforms how care is delivered, leaders need the capabilities to navigate this moment with clarity and confidence.
Turning evidence into impact requires more than rigorous research—it demands leaders who design studies for real-world implementation, align stakeholders, and bridge the persistent gap between what works in theory and what transforms care in practice.
As research grows more collaborative and competitive, strengthening clinicians’ and scientists’ presentation skills is essential to ensure that strong data is understood, supported, and translated into real-world impact.
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.
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.
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.