Johns Hopkins University
The Data Science of Health Informatics
Johns Hopkins University

The Data Science of Health Informatics

This course is part of Health Informatics Specialization

Taught in English

Some content may not be translated

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

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

17,752 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(193 reviews)

Beginner level

Recommended experience

10 hours (approximately)
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.

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(193 reviews)

Beginner level

Recommended experience

10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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
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There are 4 modules in this course

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 quiz

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 quiz

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 quiz

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 quiz1 peer review

Instructors

Instructor ratings
4.8 (40 ratings)
Hadi H. K. Kharrazi, MD, Ph.D
Johns Hopkins University
1 Course17,752 learners

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4.6

193 reviews

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NB
5

Reviewed on May 10, 2020

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5

Reviewed on Feb 7, 2024

AB
5

Reviewed on Jul 1, 2020

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