This course is part of the Health Informatics Specialization

4.6
stars
178 ratings

Hadi H. K. Kharrazi, MD, Ph.D +1 more instructor

14,974 already enrolled

Offered By

Health Informatics SpecializationJohns Hopkins University

About this Course

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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.

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Earn a Certificate upon completion

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Course 4 of 5 in the

Health Informatics Specialization

Beginner Level

While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.

Approx. 10 hours to complete

English

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What you will 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 will gain

Data Science
Database (DBMS)
Data Analysis
Health Informatics
data querying

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 5 in the

Health Informatics Specialization

Beginner Level

While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.85/5 (36 Ratings)

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

Assistant Professor

Bloomberg School of Public Health

14,974 Learners

1 Course

Sam Meiselman

Senior Software Engineer

Enterprise Data Warehouse

14,974 Learners

1 Course

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Introduction to Databases and Data Types

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.

2 hours to complete

6 videos (Total 95 min)

Week2

Week 2

2 hours to complete

Data Sources and Data Challenges

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.

2 hours to complete

5 videos (Total 88 min)

Week3

Week 3

1 hour to complete

Formulating Data Questions

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.

1 hour to complete

6 videos (Total 46 min)

Week4

Week 4

5 hours to complete

Real World Applications of Data Science in Health Informatics

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).

5 hours to complete

8 videos (Total 77 min)

Reviews

4.6

35 reviews

5 stars
73.03%
4 stars
20.78%
3 stars
2.80%
2 stars
1.12%
1 star
2.24%

TOP REVIEWS FROM THE DATA SCIENCE OF HEALTH INFORMATICS

by FISep 7, 2022

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

by IINov 18, 2020

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

by RBJun 16, 2020

It's a good course overall. However, more practical assignments can be offered to develop marketable skills.

by PSAug 3, 2020

The data query or fetching information from sources can be explored more.

View all reviews

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?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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