The Data Science of Health Informatics
This course is part of Health Informatics Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Health Informatics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand different forms of clinical and population health data
Learn to define and analyze healthcare information problems
Master data querying techniques for healthcare databases
Develop skills in health data interpretation and analysis
Skills you'll gain
This course includes:
5 Hours PreRecorded video
4 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course explores the complexities of health data types, sources, and analytical challenges in healthcare settings. Students learn to work with clinical and population-level data, understand database fundamentals, and formulate effective data queries. The curriculum covers data quality issues, system architectures, and real-world applications of health informatics through expert interviews and practical examples.
Introduction to Databases and Data Types
Module 1 · 2 Hours to complete
Data Sources and Data Challenges
Module 2 · 1 Hours to complete
Formulating Data Questions
Module 3 · 1 Hours to complete
Real World Applications of Data Science in Health Informatics
Module 4 · 4 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Health Informatics Specialization
Instructors
Assistant Professor and Health Informatics Expert at Johns Hopkins University
Dr. Hadi H. K. Kharrazi is an Assistant Professor at Johns Hopkins University, where he specializes in health informatics and population health management. He serves as the co-director of the Center for Population Health IT (CPHIT), focusing on leveraging data science and informatics to improve healthcare utilization and outcomes. His research interests include risk stratification, predictive modeling, and the impact of data quality on health analytics. Dr. Kharrazi has been instrumental in developing innovative informatics solutions that address population health challenges and enhance clinical decision-making.In addition to his research, Dr. Kharrazi teaches the course "The Data Science of Health Informatics" on Coursera, where he shares his expertise with students and professionals seeking to understand the intersection of data science and healthcare. His contributions to education and research have earned him recognition as a Fellow of both the American College of Medical Informatics (FACMI) and the American Medical Informatics Association (FAMIA), highlighting his significant impact on the field of health informatics.
Senior Software Engineer and Health Informatics Educator at Johns Hopkins University
Sam Meiselman is a Senior Software Engineer at Johns Hopkins University, where he specializes in health informatics and data science. He plays a pivotal role in developing and teaching courses that bridge the gap between technology and healthcare, notably the course "The Data Science of Health Informatics" on Coursera. His expertise lies in leveraging data analytics to address complex health informatics challenges, enabling healthcare professionals to make informed decisions based on robust data analysis. Sam's work emphasizes the importance of understanding various health data types and their applications in improving patient care and outcomes.In addition to his teaching responsibilities, Meiselman is involved in collaborative projects that enhance the integration of IT solutions within healthcare settings. His commitment to advancing health informatics education and practice positions him as a key contributor to the field, helping to shape the future of healthcare through innovative technology solutions.
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