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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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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Build your subject-matter expertise

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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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

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

9 videosTotal 70 minutes

Knowledge and Decision Support2 minutes
Expert Knowledge13 minutes
Decision Support Committee3 minutes
Eliciting Expert Knowledge12 minutes
The Literature13 minutes
Data -- Knowledge7 minutes
Statistical Methods11 minutes
AI Dangers6 minutes
Summary2 minutes

1 assignmentTotal 35 minutes

Module 4 Quiz35 minutes

1 peer reviewTotal 60 minutes

Decision Support System Report60 minutes

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Instructors

Harold P. Lehmann, MD, Ph.D.

Johns Hopkins University

3 Courses54,843 learners

Offered by

Johns Hopkins University

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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