Introduction to Healthcare
Learn the fundamentals of U.S. healthcare system, including key institutions, stakeholders, and challenges.
Learn the fundamentals of U.S. healthcare system, including key institutions, stakeholders, and challenges.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI in Healthcare Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand major U.S. healthcare system challenges
Identify key healthcare stakeholders and their roles
Analyze healthcare delivery improvement opportunities
Explore healthcare financing and insurance systems
Evaluate quality measurement in healthcare
Skills you'll gain
This course includes:
4.67 Hours PreRecorded video
20 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course explores the U.S. healthcare system's fundamentals, including physician practices, hospitals, pharmaceuticals, and insurance arrangements. Students learn about healthcare cost management, quality of care, and access challenges. The curriculum covers major stakeholders, payment systems, and ethical considerations in healthcare delivery, with additional focus on potential AI applications in healthcare settings.
Overview of Health Care Systems and Key Challenges They Face
Module 1 · 1 Hours to complete
Physicians, Physician Practices, and Physician Payment
Module 2 · 1 Hours to complete
Hospitals, Other Provider Organizations, and Related Payment Systems
Module 3 · 1 Hours to complete
Intermediaries, Health Insurance Plans, and Health Care Financing
Module 4 · 1 Hours to complete
Health Care Products and Prescription Drugs, and Quality Measurement and Improvement
Module 5 · 1 Hours to complete
Ethics
Module 6 · 1 Hours to complete
Course Wrap Up
Module 7 · 1 Hours to complete
Fee Structure
Instructors
Leading Health Economist and Professor at Stanford University
Laurence Baker, Ph.D., is the Bing Professor of Human Biology and a distinguished member of the Health Policy group at Stanford University, where he applies his expertise in economic and statistical analysis to tackle pressing challenges within the healthcare system. As an accomplished health economist, Professor Baker teaches both undergraduate and graduate courses and has published extensively on various healthcare financing and system issues. His research delves into the impacts of financial incentives, technological advancements in medicine, competition in healthcare markets, and the dynamics of managed care and insurance plans. In addition to his primary role at Stanford, he is a Professor of Economics (by courtesy), a Senior Fellow at the Stanford Institute for Economic Policy Research, and a Research Associate at the National Bureau of Economic Research. A former Chair of the Department of Health Research and Policy at Stanford, Professor Baker has received numerous accolades, including the ASHE Medal from the American Society of Health Economists and the Alice S. Hersh Young Investigator Award from AcademyHealth. He holds a Ph.D. in Economics from Princeton University and a B.A. in Economics and Mathematics from Calvin College.
Academic Director, AI in Healthcare Specialization; Associate Professor
Dr. Nigam Shah is an esteemed Associate Professor of Medicine specializing in Biomedical Informatics at Stanford University, where he also serves as the Associate Chief Information Officer for Data Science at Stanford Health Care. His research is centered on integrating machine learning with medical ontologies to enhance the learning health system, enabling better healthcare delivery and clinical decision-making. Dr. Shah has made significant contributions to the field, including being elected to the American College of Medical Informatics in 2015 and inducted into the American Society for Clinical Investigation in 2016. He holds an MBBS from Baroda Medical College, India, and a PhD from Penn State University, complemented by postdoctoral training at Stanford.In addition to his academic roles, Dr. Shah leads various initiatives in artificial intelligence and data science aimed at improving patient care through innovative technologies. He has authored over 200 scientific publications and holds eight patents related to his research. His expertise extends to analyzing diverse health data types, including electronic health records and wearable device data, to generate insights and predictive models that address pressing clinical questions. Through his work, Dr. Shah aims to bring AI into clinical practice safely and effectively, ensuring that these advancements are ethically applied in healthcare settings.
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4.8 course rating
981 ratings
Frequently asked questions
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