This course by Johns Hopkins faculty members provides a comprehensive foundation for anyone wanting to become a leader in the field of Health Informatics. Learn how to harness the power of big data in healthcare, improve EHR adoption, and separate out the hope vs hype when it comes to digital medicine. Understand the current state, future state, and unintended consequences of interventions. Develop the skills to assess an organization's readiness for change, plan strategically, and manage financial considerations. Gain the tools to optimize your chances for successfully leading change in your organization.
Health Informatics on FHIR
2.0
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This course is designed to help even non-technical students gain basic proficiency in health informatics. It covers the the course healthcare delivery system's unique structural, economic and policy issues, and the strategic role for health informatics. It also looks at the federal programs to encourage adoption of electronic record systems, and provides a high level overview of some key health standards with a particular emphasis on the new Fast Healthcare Interoperability Resource (FHIR) standard. Students will explore how these technologies are being deployed and some of their current limitations, as well as examples of cutting edge research using "big data" and how analytic based tools are helping overcome some of the challenges. Optionally, students can read the instructor’s book, Practitioner's Guide to Health Informatics. This course is perfect for those looking to gain a basic understanding of health informatics and the the course healthcare delivery system.
Population Health: Predictive Analytics
2.0
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This course, Population Health: Predictive Analytics, provides an in-depth look at the role of predictive analytics in medicine. Learn how to develop accurate prediction models, assess their validity, and understand the importance of the bias-variance tradeoff. Through lectures and practice quiz questions, you will gain a comprehensive understanding of the concepts and tools needed to make informed decisions on preventive measures and individualized treatments. Access R and example datasets within the Coursera environment, and explore further packages to use for certain types of analyses. This course is part of a Master's program in Population Health Management at Leiden University.
So You Want to Become a Biomedical Engineer
5.0
Edx741 learners
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This course is perfect for anyone interested in exploring the world of biomedical engineering. You'll get an overview of this vast field, learn about more than two dozen areas of focus, and meet more than three dozen biomedical engineers. Through exercises, you'll get to think like a BME and experience the various areas to see which fits your interests and talents. Plus, you'll get educational and career advice to help you get there. Along the way, you'll get a peek at some of the cool and exciting advances going on at top institutions, from the thinking processes of pilots and baseball batters to an inside view of a beating heart to developments in bionics, exoskeletons, and nanotechnology. Verified students are eligible to earn Continuing Education Units (CEUs) and Professional Development Hours (PDHs). So join the course on this journey and become a biomedical engineer!
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