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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2008
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| Online Access: | https://www.redalyc.org/articulo.oa?id=42210513 |
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| _version_ | 1866811708864987136 |
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| author | Antonio M. Cruz |
| author_facet | Antonio M. Cruz |
| contents | Building a New Predictor for Multiple Linear Regression Technique-based Corrective Maintenance Turnaround Time Antonio M. Cruz Cameron Barr Elsa Puñales-Pozo Salud management Maintenance regression analysis biomedical technology decision support system Objectives This research's main goals were to build a predictor for a turnaround time (TAT) indicator for estimating its values and use a numerical clustering technique for finding possible causes of undesirable TAT values. Materials and methods The following stages were used: domain understanding, data characterisation and sample reduction and insight characterisation. Building the TAT indicator multiple linear regression predictor and clustering techniques were used for improving corrective maintenance task efficiency in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT). Results Multiple linear regression was used for building a predictive TAT value model. The variables contributing to such model were clinical engineering department response time (CErt, 0.415 positive coefficient), stock service response time (Stockrt, 0.734 positive coefficient), priority level (0.21 positive coefficient) and service time (0.06 positive coefficient). The regression process showed heavy reliance on Stockrt, CErt and priority, in that order. Clustering techniques revealed the main causes of high TAT values. Conclusions This examination has provided a means for analysing current technical service quality and effectiveness. In doing so, it has demonstrated a process for identifying areas and methods of improvement and a model against which to analyse these methods' effectiveness. 2008 artículo científico 0124-0064 https://www.redalyc.org/articulo.oa?id=42210513 en http://www.redalyc.org/revista.oa?id=422 Revista de Salud Pública application/pdf Universidad Nacional de Colombia Revista de Salud Pública (Colombia) Num.5 Vol.10 |
| format | Artículo científico |
| id | redalyc_42210513 |
| language | en |
| publishDate | 2008 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Building a New Predictor for Multiple Linear Regression Technique-based Corrective Maintenance Turnaround Time Antonio M. Cruz Salud management Maintenance regression analysis biomedical technology decision support system Building a New Predictor for Multiple Linear Regression Technique-based Corrective Maintenance Turnaround Time Antonio M. Cruz Cameron Barr Elsa Puñales-Pozo Salud management Maintenance regression analysis biomedical technology decision support system Objectives This research's main goals were to build a predictor for a turnaround time (TAT) indicator for estimating its values and use a numerical clustering technique for finding possible causes of undesirable TAT values. Materials and methods The following stages were used: domain understanding, data characterisation and sample reduction and insight characterisation. Building the TAT indicator multiple linear regression predictor and clustering techniques were used for improving corrective maintenance task efficiency in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT). Results Multiple linear regression was used for building a predictive TAT value model. The variables contributing to such model were clinical engineering department response time (CErt, 0.415 positive coefficient), stock service response time (Stockrt, 0.734 positive coefficient), priority level (0.21 positive coefficient) and service time (0.06 positive coefficient). The regression process showed heavy reliance on Stockrt, CErt and priority, in that order. Clustering techniques revealed the main causes of high TAT values. Conclusions This examination has provided a means for analysing current technical service quality and effectiveness. In doing so, it has demonstrated a process for identifying areas and methods of improvement and a model against which to analyse these methods' effectiveness. 2008 artículo científico 0124-0064 https://www.redalyc.org/articulo.oa?id=42210513 en http://www.redalyc.org/revista.oa?id=422 Revista de Salud Pública application/pdf Universidad Nacional de Colombia Revista de Salud Pública (Colombia) Num.5 Vol.10 |
| title | Building a New Predictor for Multiple Linear Regression Technique-based Corrective Maintenance Turnaround Time |
| topic | Salud management Maintenance regression analysis biomedical technology decision support system |
| url | https://www.redalyc.org/articulo.oa?id=42210513 |