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.
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
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来自THE SOCIAL AND TECHNICAL CONTEXT OF HEALTH INFORMATICS的热门评论
Good start to the specialization, very comprehensive, slides are informative, quizzes are challenging.
I want a career in Informatics and to work at John Hopkins!! Here I come!!
Content and delivery are very clear and concise, would appreciate some more reading material or reference list for each module but otherwise a wonderful learning resource.
The final peer review project helped make sense of the preceding 4 weeks. That was the bit I enjoyed the most.