AI in Health Care: From Strategies to Implementation
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Who Is This Program For?
The AI in Health Care: From Strategies to Implementation program is designed for leaders and innovators, including:
Medical professionals and researchers who are seeking practical knowledge of how to integrate AI technologies to transform health care processes and improve decision making in patient care.
Health care leaders and executives who are seeking a deeper understanding of how to implement AI initiatives that improve patient care, enhance operational efficiency, foster innovation and give their organizations an edge in today’s complex health care landscape.
AI technology and innovation enthusiasts who understand AI’s potential to transform health care and want to lead innovation to create cutting-edge solutions that meet the needs of today’s health care systems and patients.
Health care consultants, regulators and policymakers who are guiding organizations through the adoption of AI-driven solutions or developing policies for the use of AI in health care.
Key Takeaways
Understand the fundamentals of modern AI, including the role data and computing play in building successful applications, to improve overall patient experiences and outcomes.
Evaluate existing AI systems in health care to quantify their strengths and weaknesses.
Identify new opportunities to address modern health care needs with AI.
Assess the potential biases and ethical implications of AI technologies in health care settings to ensure that any AI solution promotes data privacy, data integrity and trust.
Learning Experience
Capstone project
Certificate of completion from Harvard Medical School Executive Education
Crowdsourcing
Guest speakers
Immersive discussions
Polls and knowledge checks
Weekly live office hours with the program facilitator
One live session with the lead faculty*
Real-world examples and case studies
Practical, scenario-based assignments
Case Studies
Leveraging the AI development pipeline to optimize health care solutions
Employing machine learning to collect real-time health data
Approaching new opportunities for AI in health care
Using generative AI for innovation in health care
Applying the principles of human-centered design to health care solutions
Leveraging AI to offset bias in health care
Capstone Project
Develop a Solution for Your Organization
The program incorporates a capstone project that requires you to ideate and pitch a new AI-first health care solution that addresses a current need. The project will prepare you to design and implement innovative, real-world solutions that elevate the level of care your organization offers to today’s health care consumers. The project will span the course of the program, enabling you to incorporate the concepts and frameworks you learn in each module to develop your pitch.
Curriculum
Through this eight-week online program, you will develop a deep understanding of real-world data, digital medicine and AI applications and learn to translate AI concepts into actionable success. The learning experience encompasses recorded and live sessions with faculty and guests, interactive discussions, weekly live office hours, scenario-based assignments, case studies, real-world examples and a capstone project.
Scenario-Based Assignments
Algorithmic Trust: Leveraging predictive models for decision - making
Model Cards: Building transparency and trust in an AI model
Machine Learning for Wearables: Designing solutions that combine machine learning and wearable data
AI Viability in Health Care: Training and developing an AI model
Faculty
Assistant Professor, Department of Epidemiology, Harvard T.H. Chan School of Public Health
Andrew Beam, PhD, conducts research focused on the development and application of machine learning methods to extract meaningful insights from clinical and biological datasets...
Featured Guest Speakers
Physician-Scientist; Deputy Editor, NEJM AI
Lily Peng, MD, PhD, is a physician-scientist and the deputy editor of NEJM AI. She is a former product manager, with a focus on data-driven health care solutions and applicati...
Product Manager, Google Health
Sunny Virmani is a product manager with Google Health. He focuses on product development and global marketing of diverse medical imaging technologies. He holds a BS in instrum...
Chief health AI officer at UC San Diego Health
Karandeep Singh, MD, MMSc, is the chief health AI officer at UC San Diego Health and the Joan and Irwin Jacobs Endowed Chair in Digital Health Innovation. He teaches a health ...
Assistant professor at MIT in electrical engineering and computer science (EECS)
Marzyeh Ghassemi, PhD, is an assistant professor at MIT in electrical engineering and computer science (EECS) and Institute for Medical Engineering and Science (IMES) and a Ve...
Principal at Flagship Pioneering and works as part of a venture-creation team
Molly Gibson, PhD, is a principal at Flagship Pioneering and works as part of a venture-creation team to find and grow organizations at the intersection of biology and machine...
Principal at Flagship Pioneering and works as part of a venture-creation team
Luca Foschini is the president and CEO of Sage Bionetworks. Over the past decade, Foschini’s research has focused on the emerging field of digital medicine, with an emphasis o...
Certificate
Upon completion of this program, you will receive a digital certificate from Harvard Medical School Executive Education.
FAQs
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Academic Advisors or call us at +1 315 284 5718 (US) / +44 204 538 5575(UK) / +65 3138 4864 (SG)
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options are available.
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