What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
This course is part of Health Informatics Specialization
Instructor: Harold P. Lehmann, MD, Ph.D.
37,899 already enrolled
Included with
(503 reviews)
Recommended experience
Beginner level
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
(503 reviews)
Recommended experience
Beginner level
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Articulate a coherent problem definition of, and a plan for addressing, a healthcare informatics problem.
Create an Informatics Stack analysis of an informatics problem.
Describe eleven socio-technical aspects of a health informatics problem or solution.
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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.
Who Is This Class For? Physicians, nurses, pharmacists, social workers, and other allied health professionals interested in expanding their understanding of digital health, big data, health information systems, and the unintended consequences of disruptive innovation in the healthcare system. The course is also aimed at those with technical, engineering, or analytics backgrounds who want to understand the nuances of those topics when it comes to healthcare.
In this module, you will be given an introduction to the course and its foundational concepts. After providing examples of health IT in the contexts of patients, providers, and populations—the three contexts we always return to—we articulate the drivers that motivate developments in health IT and informatics. We then provide the core definitions of key terms (like “health IT” and “informatics”) and introduce the core framework for your work in this course, the Informatics Stack.
11 videos1 reading1 assignment
In this module, we start our journey down the Stack to explain the world of informatics and health IT. We explore the top four levels of the Stack (World, Organization, Roles, and Functions), and then proceed to discuss new US medical-care (“World”) policies that drive health care Organizations to change practice, so they can accomplish their core Functions. We also discuss the history of health IT in relation to such policies in the past. We begin a course-long discussion of interoperability (which occurs at each level of the Stack), and privacy/confidentiality/security. We end with an explication of methods used to Evaluate whether an IT project has achieved the Organizational goals set for that project.
6 videos1 assignment
In this module, we continue the journey, starting with the role of needs, requirements, and specifications. We then turn to how workflow issues are turned into requirements and how information systems, built to satisfy those requirements, are assembled. We close with the cautionary notes of how poorly built systems harm the very workflows they were designed to improve.
6 videos1 assignment
This module concludes our journey with discussions of Data, Information, Knowledge, and Technology. Regarding data, we discuss their sources and types and provide examples. We go on to explain differences between information and data, and between knowledge and information. Standards are most important at this level, and we discuss the exchange of text and imaging data. Regarding technology, we use the Hype Cycle as a way for you to keep track of what new technologies are doing what and when. We close with a framework for thinking about careers in health IT and informatics.
11 videos1 assignment1 peer review
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
University of Minnesota
Specialization
Northeastern University
Course
University of Minnesota
Course
503 reviews
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Reviewed on Jul 7, 2019
This course is great for beginners in the field of Health Informatics. I really enjoyed it and learnt some new fundamentals concepts and models. Thanks for the effort put in this course
Reviewed on Jun 13, 2020
Content and delivery are very clear and concise, would appreciate some more reading material or reference list for each module but otherwise a wonderful learning resource.
Reviewed on Sep 24, 2023
This was a great foundational course for Healthcare IT and introduction to the Electronic Healthcare System
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