Risk-Adjusted Control Charts: Theory, Methods, and Applications in Health
Autor: | Stelios Psarakis, Athanasios Sachlas, Sotirios Bersimis |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
Statistics and Probability medicine.medical_specialty Process (engineering) Computer science media_common.quotation_subject Public health Statistical process control 01 natural sciences Biochemistry Genetics and Molecular Biology (miscellaneous) 010104 statistics & probability 03 medical and health sciences 030104 developmental biology medicine Operations management Control chart Quality (business) Natural variability 0101 mathematics Biostatistics Risk adjusted media_common |
Zdroj: | Statistics in Biosciences. 11:630-658 |
ISSN: | 1867-1772 1867-1764 |
Popis: | Control charts, the most popular tool of statistical process control, appeared in the literature to ensure that an industrial process is operating only with natural variability, i.e., under statistical control. In the last decades, control charts have been also widely used to assess the quality of non-industrial processes, such as medicine and public health. Mainly in the last two decades, a modification of standard and advanced control charts appeared in the bibliography to improve the monitoring mainly of medical processes. This is the risk-adjusted control charts which take into consideration the varying health conditions of the patients. These charts are used to monitor certain medical processes such as surgeries, mortality, and doctors’ experience. In this paper, we have tried to present all the risk-adjusted control charts presented in the literature appropriately categorized. The risk-adjusted charts have been grouped into three categories: control charts for continuous variables, control charts for attributes (non-continuous variables), time-weighted control charts. The application of risk-adjusted control charts in practical medical processes is also discussed. This review paper highlights the value of the risk-adjusted control charts. |
Databáze: | OpenAIRE |
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