How will you know if your patient safety and quality project is meeting its objectives? Peter Drucker once said “What gets measured, gets managed.” In this course, students will learn why measurement is critical to quality improvement work. Equally important, they will learn which data sources provide the most meaningful information and tools for how and where to locate them. Finally, students will learn how to interpret data from their patient safety and quality projects to guide and modify them during implementation to maximize their chances of making a difference for patients.
Über diesen Kurs
Kompetenzen, die Sie erwerben
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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Top-Bewertungen von MEASURING THE SUCCESS OF A PATIENT SAFETY OR QUALITY IMPROVEMENT PROJECT (PATIENT SAFETY VI)
measuring the success in healthcare is really challenging. This course helped me to understand the metrics used for quality improvement projects and how can we sustain such type of improvements.
Excellent. My concept of data collection, designing, analysis and interpratation has tremendously improved. Have also learned how to use different tools in Quality Improvent Projects
Finally we are here at the final stage. Interesting course content and Fantastic mentors. I am very grateful to both mentors and Coursera.
This course was really helpful for me. But it is difficult to get peer reviews for the peer-graded assignment.
Über den Spezialisierung Patientensicherheit
Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.
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