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Über den Kurs

Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success. At the end of this course, students will be able to make a quick assessment of a health informatics problem—or a proposed solution—and to determine what is missing and what more needs to be learned. Who Is This Class For? Physicians, nurses, pharmacists, social workers, and other allied health professionals interested in expanding their understanding of digital health, big data, health information systems, and the unintended consequences of disruptive innovation in the healthcare system. The course is also aimed at those with technical, engineering, or analytics backgrounds who want to understand the nuances of those topics when it comes to healthcare....

Top-Bewertungen

SI

13. Juli 2019

Very good information and the teaching material is easy to process and understand. I think the stack is a brilliant method to assess and to learn it is one of the important aspects of informatics.

MS

7. Juli 2019

This course is great for beginners in the field of Health Informatics. I really enjoyed it and learnt some new fundamentals concepts and models. Thanks for the effort put in this course

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