Читать книгу Improving Health Care Quality - Cecilia Fernanda Martinez - Страница 24

Examining data in subgroups, also known as “slicing” the data, or stratification can help project teams discover opportunities for process change. For example, analyzing the time required for nurses to respond to a patient call by shift may identify needed changes to staffing levels to improve patient satisfaction. JMP provides many features that facilitate data slicing, such as the Data Filter, Graph Builder, and Tabulate. Data subgrouping was crucial in the preoperative TJR process improvement effort. Even though the main steps of the preoperative TJR process are the same regardless of the type of implant, the improvement team discovered that there were some extra steps for a particular kind of knee implant. This stratification led the team to analyze these processes separately. Indeed, this data slicing allowed the improvement team to run comparative studies that facilitated the identification of the root cause of the problem as discussed in Chapters 13 and 14.