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.
This course is part of the Health Informatics Specialization
The Outcomes and Interventions of Health Informatics
Offered By
About this Course
What you will 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 will gain
Knowledge AcquisitionData AnalysisDecision Support System
Syllabus - What you will learn from this course
Week
11 hour to complete
Knowing Where to Intervene
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.
5 videos (Total 61 min), 1 quiz
5 videos
Should You?11m
Should You? II: HIMSS Framework13m
Does It Work?: Testing8m
Is It Used? Does It Accomplish Goals?7m
1 practice exercise
Module 1 Quiz
Week
21 hour to complete
Defining Decision Support
In this module, we will focus on issues of design, both for decision support and as they apply more broadly across multiple environments.
8 videos (Total 47 min), 1 quiz
8 videos
Types of Clinical Decision Support7m
Design Phase9m
Define Phase7m
Ideate Phase2m
Prototype Phase2m
Test Phase3m
Deploy Phase9m
1 practice exercise
Module 2 Quiz30m
Week
32 hours to complete
Using Transactional and Summative Data and Knowledge for Decision Support
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.
7 videos (Total 84 min), 1 quiz
7 videos
What's in a Rule? Part II10m
The Language of Rules5m
Data Dictionary and Taxonomy14m
Value Sets11m
Semantic Networks14m
Ontology15m
1 practice exercise
Module 3 Quiz30m
Week
44 hours to complete
Eliciting and Creating Knowledge for Decision Support
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.
9 videos (Total 70 min), 2 quizzes
9 videos
Expert Knowledge13m
Decision Support Committee3m
Eliciting Expert Knowledge11m
The Literature13m
Data -- Knowledge7m
Statistical Methods11m
AI Dangers6m
Summary2m
1 practice exercise
Module 4 Quiz35m
Instructors
Harold P. Lehmann, MD, Ph.D.
Professor and DirectorDivision of Health Sciences Informatics
Paul Nagy, PhD, FSIIM
Associate Professor of RadiologyDivision of Health Sciences Informatics
About Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
About the Health Informatics Specialization
This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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