About this Course

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Start instantly and learn at your own schedule.

Flexible deadlines

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Approx. 15 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

What you will learn

  • Check

    Articulate different forms of clinical and population level data.

  • Check

    Describe the data required to answer a healthcare information problem.

  • Check

    Distinguish between data questions and data queries when dealing with a healthcare information problem.

Skills you will gain

Data ScienceData Analysisdata querying

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

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....
6 videos (Total 95 min), 1 quiz
6 videos
Databases in Clinical Informatics19m
Common Data Types I8m
Common Data Types II14m
Common Data Types III11m
Emerging Data Types18m
1 practice exercise
Module 1 Quiz30m
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....
5 videos (Total 88 min), 1 quiz
5 videos
Population-Level Data Sources19m
Data Challenges I17m
Data Challenges II15m
Data Challenges III18m
1 practice exercise
Module 2 Quiz30m
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. ...
6 videos (Total 46 min), 1 quiz
6 videos
Formulating a Data Query II6m
Real World Data Questions7m
i2b2 Demo15m
HealthData.Gov Demo6m
HCUPNet Demo6m
1 practice exercise
Module 3 Quiz30m
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). ...
8 videos (Total 77 min), 2 quizzes
8 videos
Interview with Sam Meiselman15m
Interview with Sam Meiselman, Part II12m
Interview with Bonnie Woods18m
Interview with Brandyn Lau, Part I7m
Interview with Brandyn Lau, Part II12m
Interview with Brandyn Lau, Part III8m
Wrap Up1m
1 practice exercise
Module 4 Quiz30m

Instructors

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

Assistant Professor
Bloomberg School of Public Health
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Sam Meiselman

Senior Software Engineer
Enterprise Data Warehouse

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....
Health Informatics

Frequently Asked Questions

  • 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.

  • 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.

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