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
Identify opportunities for healthcare informatics interventions
Design effective clinical decision support systems
Implement knowledge acquisition strategies
Evaluate and monitor intervention outcomes
Skills you'll gain
This course includes:
4.3 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 comprehensive course focuses on implementing effective health informatics interventions and decision support systems in healthcare settings. Students learn to identify opportunities, design appropriate solutions, and evaluate outcomes. The curriculum covers decision support frameworks, knowledge acquisition methods, and system implementation strategies to improve healthcare delivery and patient outcomes.
Knowing Where to Intervene
Module 1 · 1 Hours to complete
Defining Decision Support
Module 2 · 1 Hours to complete
Using Transactional and Summative Data and Knowledge for Decision Support
Module 3 · 1 Hours to complete
Eliciting and Creating Knowledge for Decision Support
Module 4 · 2 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
Professor and Director of Health Sciences Informatics at Johns Hopkins University
Dr. Harold P. Lehmann is a Professor and Director at Johns Hopkins University, specializing in health sciences informatics and pediatrics. He holds joint appointments in health policy and management and international health at the Johns Hopkins Bloomberg School of Public Health. With a medical degree from Columbia University and a Ph.D. from Stanford University, Dr. Lehmann has dedicated his career to integrating clinical concerns with informatics, focusing on evidence-based medicine, decision analysis, and the application of Bayesian statistical methods in healthcare. He is recognized as a fellow of the American College of Medical Informatics and has contributed significantly to the field through his research and leadership roles.In addition to his research, Dr. Lehmann teaches several courses on Coursera, including "The Social and Technical Context of Health Informatics" and "The Outcomes and Interventions of Health Informatics." His work emphasizes the importance of informatics in improving healthcare delivery and outcomes, making him a key figure in the advancement of health informatics education and practice.
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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