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
The Outcomes and Interventions of Health Informatics
This course is part of Health Informatics Specialization
Instructors: Harold P. Lehmann, MD, Ph.D.
Sponsored by Louisiana Workforce Commission
7,842 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(95 reviews)
Beginner level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
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
In this module, you will be introduced to the course through a range of decision support interventions used in health care. We will examine the Five Rights of decision support and go on to discuss the basics for deciding whether to build an intervention and, having done so, how to evaluate it.
What's included
5 videos1 assignment
In this module, we will focus on issues of design, both for decision support and as they apply more broadly across multiple environments.
What's included
8 videos1 assignment
In this module, we return to decision support, focusing on rules-- the key structure in most decision support. We'll provide a key framework for making sure you have all the minimum components for ensuring a successful implementation. We'll also address issues of languages used by rules and how to keep rules consistent within and between institutions.
What's included
7 videos1 assignment
In this module, we will go behind the scenes of decision support, examining where and how we get the knowledge that drives decision support --including data science-- for generating knowledge from data.
What's included
9 videos1 assignment1 peer review
Instructors
Instructor ratings
4.8 (14 ratings)Offered by
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4.5
95 reviews
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Showing 3 of 95
L
5
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.
R
5
Reviewed on Jan 4, 2021
This was a great course. It was indepth and very thorough for my beginner skillset. I have enjoyed Dr. Lehmann's courses a great deal.
EJ
5
Reviewed on Jun 27, 2019
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
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