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.
- 5 stars57.50%
- 4 stars23.25%
- 3 stars8.75%
- 2 stars3.50%
- 1 star7%
來自THE SOCIAL AND TECHNICAL CONTEXT OF HEALTH INFORMATICS的熱門評論
New to this field yet inspired and motivated to learn and pursue a career in health informatics. Excellent presentation with clarity and knowlwdge -based information.
The course was well insightful and thought challenging. I hope to complete the whole specialization. Thanks for the certificate.
Quiz answers may be too specific to what was said or written. Answers could be confusing.
The final peer review project helped make sense of the preceding 4 weeks. That was the bit I enjoyed the most.