Why MCiM

MCiM is an intense – but achievable and rewarding – academic experience for working professionals. Because the program combines flexible online learning with on-campus classes every other week, it can be completed alongside a demanding work schedule in only 12 months. MCiM is the only interdisciplinary management program of its kind on the West Coast, bringing together leaders in the fields of medicine, business, and technology. MCiM faculty are world-renowned Stanford scholars committed to innovating health care through the power of digital technology and to working closely with a cohort aligned with that mission. The founder and director of MCiM, Kevin Schulman, Stanford professor of medicine and economics, built the first US clinical informatics management program at Duke University in 2011.

MCiM directly addresses the health care and public health challenges of our time. MCiM students will learn to develop and apply business models, clinical informatics tools, and ethics insights. They will acquire the skills and knowledge to successfully design, implement, and manage digital innovations in health systems, life sciences businesses, health care-focused technology organizations, or start-ups. Because this is a management program with a combined focus on technology and health care, MCiM differs from other management degree programs. 

Read More About MCiM Curriculum 

The business and technology competencies you gain are highly relevant and immediately applicable, making MCiM an excellent pathway to strengthen career options, pivot to new roles, and move into leadership positions - from Data Architect and Physician Informatics Director to CMIO and CIO. MCiM students will acquire the management skills to lead multidisciplinary teams in data analytics and data science, medicine, and business and to strategically optimize the promise of digital technology. They will be in a strong position to advance their careers in clinical medicine, health system leadership, healthcare consulting, bioinformatics, data analysis, and entrepreneurship.

Digital technology including AI and LLMs are reshaping the field of medicine. Today’s leaders must bridge medicine, business, and technology to guide the digital transformation of a $5.6 trillion healthcare market. AI-enabled clinical decision support, predictive analytics for population health, and digital-first care models are becoming essential strategies in the drive to addressing challenges in cost, quality, and clinical outcomes. 

This is a unique moment where technology is increasing capacity while public and private market forces are creating an opportunity for innovation within existing paradigms and creating opportunities for innovative models of care delivery.

The MCiM program is designed to develop leaders who can integrate these technologies into the clinical and business enterprise in bold new ways, transforming healthcare delivery in the US and globally.

MCiM students will join a community of proven leaders and emerging leaders working in settings ranging from start-ups to health systems in the Bay Area and beyond. This accomplished cohort, coupled with MCiM’s acclaimed faculty and career-support services from the BioSci Career Center, represents a valuable professional network across medicine, business, technology and other complementary areas of expertise that can be tapped and cultivated well beyond the program’s duration. MCiM students will also bring with them a variety of experiences that will add to a rich, career-transforming learning experience, a reflection of Stanford’s commitment to developing a cadre of health professionals with a commitment to inclusivity and greater diversity in leadership roles.

Graduates of the MCiM program are eligible to apply for board certification in Clinical Informatics through the American Board of Preventive Medicine. To date, all MCiM graduates who applied have earned their certification in Clinical Informatics. For more information please visit the ABPM website: https://www.theabpm.org/become-certified/subspecialties/clinical-informatics/