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The Data Science of Health Informatics

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The Data Science of Health Informatics

This course is part of Health Informatics Specialization

Instructors: Hadi H. K. Kharrazi, MD, Ph.D

24,061 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

234 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

234 reviews

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Articulate different forms of clinical and population level data.
Describe the data required to answer a healthcare information problem.
Distinguish between data questions and data queries when dealing with a healthcare information problem.

Skills you'll gain

Tools you'll learn

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.

Learn new concepts from industry experts
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

Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.

Module details

In this module, we will begin by introducing and defining databases, and placing the role of databases within the context of clinical informatics. We will continue by introducing the common health data types such as demographics, diagnosis, medications, procedures, and utilization data. We will finish this module by reviewing the emerging health data such as lab orders/results, vital signs, social data, and patient-generated data.

What's included

6 videos1 assignment

In this module, we review the data specifications extracted from insurance claims and electronic health records. We will then discuss the common challenges in using health data, specifically issues with data quality, data interoperability, and data system architectures. Finally, we will describe the “Big Data” challenges of health data and explain some of the data problems that may hinder analytical efforts.

What's included

5 videos1 assignment

With this understanding of the data available, it’s time to see how to turn questions you and your colleagues will have into queries the database can understand. Besides getting rules of thumb for doing this translation, you will also be introduced to three online tools available to test some of these skills. You will also watch an interview with Sam Meiselman, course instructor and the data manager in charge of the Johns Hopkins Enterprise Data Warehouse, who has to use these skills on a daily basis.

What's included

6 videos1 assignment

To send home the recurring message on the challenges and art of translating questions into queries, you will see interviews with two professionals: One who comes from the data management side of the equation, and one who comes from the domain. They will give you perspectives that are both similar (the need to understand the problem for which the data are being retrieved) and different (the multiplicity of data available vs the richness of the domain problem).

What's included

8 videos1 assignment1 peer review

8 videosTotal 77 minutes

Introduction1 minute
Interview with Sam Meiselman16 minutes
Interview with Sam Meiselman, Part II12 minutes
Interview with Bonnie Woods18 minutes
Interview with Brandyn Lau, Part I8 minutes
Interview with Brandyn Lau, Part II12 minutes
Interview with Brandyn Lau, Part III8 minutes
Wrap Up2 minutes

1 assignmentTotal 30 minutes

Module 4 Quiz30 minutes

1 peer reviewTotal 180 minutes

Responding to a Data Request180 minutes

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Instructors

Instructor ratings

(47 ratings)

Hadi H. K. Kharrazi, MD, Ph.D

Johns Hopkins University

1 Course24,061 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
72.22%
4 stars
20.08%
3 stars
3.41%
2 stars
1.28%
1 star
2.99%

Showing 3 of 234

Reviewed on Sep 7, 2022

this was exhirilating and intence..its worth going for...

Reviewed on Jun 9, 2020

It gave me a very in dept understanding of different DataBases and how they are being used in the modern health care space. I would recommend it to someone who has some experience in health care.

Reviewed on Nov 18, 2020

Very Good. I Enjoy So much this course. It is really easy to understand and the presenter are excellent. Very recommended.

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