Social Determinants of Health: Health Care Systems
Explore social determinants of health in healthcare systems, focusing on health literacy, mental health, and trauma. Perfect for healthcare professionals.
Explore social determinants of health in healthcare systems, focusing on health literacy, mental health, and trauma. Perfect for healthcare professionals.
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 Social Determinants of Health: Data to Action 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
Analyze health literacy impacts on healthcare outcomes
Evaluate mental health and substance abuse in context of social determinants
Assess violence, conflict, and trauma effects on health
Apply ethical frameworks to health systems and data use
Create and interpret health data visualizations
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the intricate relationship between social determinants of health and healthcare systems. The curriculum covers crucial topics including health literacy, mental health, substance abuse, and trauma. Students learn about ethical considerations in health systems, data analysis techniques, and practical applications through correlation analysis and heat map visualization. The course emphasizes understanding healthcare disparities and implementing data-driven solutions to improve health outcomes.
Introduction to Planetary Health
Module 1 · 2 Hours to complete
Values and Sources of Knowledge
Module 2 · 2 Hours to complete
Action and Movement Building
Module 3 · 4 Hours to complete
Foresight
Module 4 · 3 Hours to complete
Data Applications: Regression Analysis and Scatter Plot Visualization
Module 5 · 3 Hours to complete
Fee Structure
Instructors
Nursing Leadership Expert and Clinical Reasoning Pioneer
Dr. Daniel J. Pesut serves as Emeritus Professor and Past Director of the Katharine J. Densford International Center for Nursing Leadership at the University of Minnesota School of Nursing. His academic credentials include a Ph.D. in Nursing from the University of Michigan, an MS in psychiatric mental health nursing from the University of Texas Health Science Center, and a BS in nursing from Northern Illinois University. His pioneering work includes the development of the Outcome-Present State-Test (OPT) model of reflective clinical reasoning, which has transformed nursing education. Through his Coursera courses in Social Determinants of Health and Nursing Informatics Leadership, he helps healthcare professionals understand complex healthcare systems and leadership principles. As the Emeritus Katherine R. and C. Walton Lillehei Nursing Leadership Chair, he has influenced nursing education through creative teaching strategies and innovative solutions. His contributions have earned numerous accolades, including the Army Commendation Award, the Edith Moore Copeland Founder's Award for Creativity, and the Luther Christman Award. The Daniel J. Pesut Spirit of Renewal Award, established in 2005, honors his lasting impact on the nursing profession
Professor
Dr. Karen A. Monsen is a Professor Emeritus in the School of Nursing at the University of Minnesota and a prominent figure in the field of nursing informatics. With a career spanning over two decades, she has been a pioneer in integrating health information technology to enhance practice quality and population health outcomes. Dr. Monsen's journey began as a nurse manager when she implemented a computerized documentation system in a public health department in 1999, which sparked her interest in data-driven healthcare improvement. Since 2007, she has focused on informatics research using large datasets to develop methodologies that link nursing interventions to client outcomes. Her contributions have earned her numerous accolades, including the Dobzhansky Award for lifetime achievements in behavioral genetics and recognition as a Fellow of the American Academy of Nursing.In addition to her research, Dr. Monsen teaches several courses aimed at advancing nursing informatics, including Interprofessional Healthcare Informatics, Leadership in Interprofessional Informatics, and Nursing Informatics Training and Education. She leads the Omaha System Partnership for Knowledge Discovery and Health Care Quality, collaborating with international affiliates to promote evidence-based practices in nursing. Dr. Monsen's work emphasizes the importance of giving healthcare professionals a data-based voice to advocate for improved care outcomes. Through her innovative teaching and research initiatives, she continues to transform nursing education and practice, ensuring that nurses are equipped to leverage informatics for better patient care
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Frequently asked questions
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