The Health Care Data Guide

Coursera MOOC / Non-credit USD 49
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The Health Care Data Guide

About this course

This Specialization provides a structured learning path for using healthcare data to improve patient care and leadership decision-making. Spanning three courses, it covers foundational methods for analyzing data variation, advanced Shewhart chart analysis, and applying insights to healthcare leadership. Learners will explore data-driven approaches to improving healthcare services and leadership practices through practical applications. The first course introduces essential data analysis techniques, focusing on improvement methodologies and understanding variation in healthcare data. Learners will use run charts to uncover patterns and anomalies, setting the stage for improvement. The second course explores advanced methods for analyzing variation using Shewhart charts, addressing common data analysis issues. Learners will refine skills in applying these charts to healthcare improvement. The final course focuses on data insights for healthcare leadership, using patient data and feedback to guide decisions and improve care delivery. Applied practice activities throughout the courses allow learners to apply key concepts in realistic healthcare contexts. Through guided analysis and skill application, participants engage with authentic challenges and develop practical competence in solving healthcare data-related problems. This Specialization is based on the book, The Health Care Data Guide, by Lloyd Provost and Sandra K. Murray

What you'll learn

  • analyze healthcare data variation
  • apply Shewhart charts for advanced analysis
  • utilize run charts to identify patterns and anomalies
  • develop data-driven leadership strategies
  • improve healthcare services through data insights

Course objectives

  • teach foundational data analysis methods related to healthcare
  • equip learners with advanced analytical tools
  • prepare students for practical healthcare leadership challenges

Skills you'll gain

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