Literature DB >> 10123345

The use of control charts to improve healthcare quality.

L J Finison1, K S Finison, C M Bliersbach.   

Abstract

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.

Mesh:

Year:  1993        PMID: 10123345     DOI: 10.1111/j.1945-1474.1993.tb00073.x

Source DB:  PubMed          Journal:  J Healthc Qual        ISSN: 1062-2551            Impact factor:   1.095


  3 in total

1.  Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems.

Authors:  Michael P Friebe; Joseph R LeGrand; Bryan E Shepherd; Elizabeth A Breeden; Scott D Nelson
Journal:  Appl Clin Inform       Date:  2020-12-30       Impact factor: 2.342

2.  Using the Laney p' Control Chart for Monitoring COVID-19 Cases in Jordan.

Authors:  Mazen Arafah
Journal:  J Healthc Eng       Date:  2022-09-19       Impact factor: 3.822

3.  Effects of increasing compliance with minimal sedation on duration of mechanical ventilation: a quality improvement intervention.

Authors:  Andre C K B Amaral; Lars Kure; Angie Jeffs
Journal:  Crit Care       Date:  2012-05-08       Impact factor: 9.097

  3 in total

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