Healthcare Data Security, Privacy, and Compliance
Gain expertise in vital healthcare data protection principles, focusing on HIPAA compliance, data security measures, and privacy regulations
Gain expertise in vital healthcare data protection principles, focusing on HIPAA compliance, data security measures, and privacy regulations
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 Healthcare IT Support 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 healthcare data types and privacy regulations
Implement HIPAA compliance measures
Manage data security and encryption protocols
Ensure regulatory compliance in healthcare IT
Apply quality measures and reporting standards
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers fundamental aspects of healthcare data security, privacy, and compliance. Students learn about different types of healthcare data, HIPAA regulations, security measures, and compliance requirements. The curriculum includes practical knowledge about encryption, cloud computing, fraud prevention, and quality measures reporting, essential for healthcare IT support roles.
Healthcare Data
Module 1 · 56 Minutes to complete
Healthcare Data Security and Privacy
Module 2 · 1 Hours to complete
Encryption and Cloud Computing
Module 3 · 1 Hours to complete
Healthcare Laws and Compliance
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Associate Professor of Radiology and Health Informatics Expert at Johns Hopkins University
Dr. Paul Nagy is an Associate Professor of Radiology at Johns Hopkins University, where he also holds joint appointments in the Departments of Medicine, Biomedical Engineering, and Health Policy Management. With a BS from Carnegie Mellon University and a PhD from the Medical College of Wisconsin, Dr. Nagy specializes in health informatics and the development of biomarkers from medical imaging to support reproducible evidence in observational research. He leads the Observational Health and Data Science Informatics (OHDSI) efforts at Johns Hopkins as part of the Precision Medicine initiative and has published over 150 research papers.In addition to his research, Dr. Nagy serves as the Deputy Director of the Johns Hopkins Medicine Technology Innovation Center, where he collaborates with clinical inventors to create innovative IT solutions that enhance patient care. He is also the Director of Education for the Biomedical Informatics and Data Science graduate training programs, teaching courses on healthcare data security, privacy, and compliance. His contributions to the field have earned him recognition as a Fellow of the Society of Imaging Informatics in Medicine (FSIIM).
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Frequently asked questions
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