By understanding how measurements will be used, it becomes easier to understand what measures to have. Measures are needed to test various cause and effect relationships at every stage in the organizational processes. The first cause and effect situation must test an organizations strategic plan. A healthcare setting, such as a laboratory, must figure out how a specific level of clinical quality will be achieved. Areas of the laboratory that need to be included in this cause and effect relationship not only included the clinical technologists, but the information systems being used, the management processes and the leadership system. Another cause and effect situation involved to determine quality improvement with cutting costs is achieved at the process lever. This level explains how processes affect specific outcomes. Managers should continually increase their understanding of how processes affect outcomes. That understanding comes from establishing relationships between process measures and outcome measures. Too often, process improvement teams fail to establish that relationship because they focus only on process measures or only on outcome measures. Their resulting control system then becomes a barrier to effective continuous improvement.
Methodologies of