Compléter Six Principles of Improvement Science ReviewVersion en ligne To identify core components of each learning to improve principle. par Stacey Wilson 1 The first principle is anchored in a deceptively simple question , what is the problem or problems we are trying to solve ? And the keyword here is ( p 12 ) . We know that change ideas will work for some places , but not ALL places , so we identify places with major differences in outcomes . After finding these undesirable outcomes , we make changes in our work processes to reduce that variation in performance ( p 13 ) . But how do we figure out what to change about our processes ? We can make improvements to work processes only when we clearly see the system that produces the current outcomes . We develop a by examining locally how work is actually done . We visit the places and talk to the people closest to the problem , then we make a about what we can change about the work process to get a different outcome . ( p 14 ) Once we make a change , how do we find out how it is working ? The forth improvement principle , we cannot improve at scale what we cannot measure , means our aims must be measurable . Because we use a systems perspective , measuring change means we must gather data about specific processes we have changed in . of students and educators ( in addition to outcomes that initially showed variation in performance ( p . 14 ) . The next principle , use disciplined inquiry to drive improvement , might seem time and labor intensive at first glance , but improvement science methods are designed to learn quickly and cheaply with minimal intrusion into everyday work . The Plan , Do , Study , Act ( PDSA ) cycle drives us so we can ( p . 16 ) .
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