For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.
The Outcomes and Interventions of Health Informatics
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The Outcomes and Interventions of Health Informatics
This course is part of Health Informatics Specialization
Instructors: Harold P. Lehmann, MD, Ph.D.
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109 reviews
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Identify opportunities for healthcare informatics interventions.
Apply a structured framework for articulating the components of decision support.
Design knowledge acquisition for decision support.
Outline a health informatics solution for decision support
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Taught in English
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This course is part of the Health Informatics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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(17 ratings)Offered by
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Showing 3 of 109
L
Reviewed on Oct 13, 2019
Learned that there are different ways to input and access information through a system. Also the types of thought processes on how to achieve the outcome.
EJ
Reviewed on Jun 27, 2019
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
DG
Reviewed on Jul 12, 2020
Wonderful content delivery and appropriate academic level for people new to informatics delivery.
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