The use of control charts to improve healthcare quality.
Control charts are a basic tool for understanding variation in all healthcare processes. Control chart limits are not standards; rather, they divided variation into special and common cause, each of which requires a different management response. Each type of data--variables, count defect, or defectives data--requires a different type of chart (e.g., X bar and R, X bar and S; C or U; P or NP). Individual observations where events are infrequent can be charted on an individual's chart with moving range limits or by several alternative methods discussed in this article.
Finison
L J
LJ
New England Applied Research Group, Boston, MA.
Finison
K S
KS
Bliersbach
C M
CM
D003627:Data Interpretation, Statistical; D006739:Hospital Administration / Q000592:standards*; D015233:Models, Statistical; D010043:Outcome and Process Assessment, Health Care / Q000706:statistics & numerical data; D010934:Planning Techniques; D011785:Quality Assurance, Health Care / Q000458:organization & administration* / Q000706:statistics & numerical data; D014481:United States