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Courses
Explore the courses offered by this organization.
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The Clinical Informatics Management (MCiM) program at the Stanford University School of Medicine is a premier graduate program designed to train future leaders at the intersection of clinical care, technology, and business administration. Operating in the heart of Silicon Valley, MCiM addresses the rapid digitalization of healthcare by equipping working professionals with the specialized tools needed to lead digital health transformations, implement artificial intelligence in clinical workflows, and optimize healthcare delivery.
The program is uniquely tailored for working professionals, including physicians, nurses, healthcare IT specialists, pharmaceutical executives, and healthcare administrators. By bridging scientific advancement with business strategy and clinical operations, MCiM graduates are prepared to champion high-impact, scalable informatics solutions that improve patient outcomes, enhance clinician workflows, and reduce the cost of care.
To accommodate the schedules of active, working professionals, the MCiM curriculum is delivered in a highly structured, accelerated format:
Master of Science (M.S.) in Clinical Informatics Management: A rigorous, but achievable and rewarding, 12-month professional master's degree.
Executive Format: The program is taught entirely in person, with classes held on the Stanford campus every other weekend. This schedule lets students complete a Stanford master’s degree in one year while continuing in their full-time roles. Courses are taught by faculty from Stanford Medicine, the Stanford Graduate School of Business, and Stanford Health Care, along with industry leaders who bring hands-on experience in health care and technology.
The MCiM curriculum is highly interdisciplinary, integrating quantitative data science with business operations and clinical strategy across four core areas:
Clinical Informatics and Digital Health: Exploring electronic health records (EHRs), clinical decision support systems, telemedicine, mobile health technologies, and data standards (such as FHIR) to optimize patient care and clinical workflows.
Healthcare Data Science and AI: Mastering the fundamentals of biostatistics, predictive modeling, machine learning, and artificial intelligence, with a focus on how to govern, validate, and ethically deploy algorithmic tools in clinical settings.
Business, Operations, and Health Policy: Studying health economics, financial accounting, strategic management, corporate governance, and the regulatory policies shaping healthcare reimbursement and delivery.
Leadership and Change Management: Developing critical skills in leading multi-disciplinary teams, managing complex organizational change, applying implementation science, and negotiating across stakeholders in highly volatile healthcare environments.
A defining element of the MCiM program is the Practicum Project. Throughout the academic year, students work individually or in teams under the mentorship of faculty and industry advisors to design, implement, and evaluate a solution to a real-world clinical informatics challenge. Projects typically follow one of four tracks: an experiential placement at an established organization, original research or a review of existing literature, an academic case study or landscape analysis intended for publication, or a business plan for a new product or company with clear social value. The Practicum gives students a structured way to apply what they learn in the program to an unmet need in healthcare.
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