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.
New England Applied Research Group, Boston, MA.
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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