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Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices
BACKGROUND: Services for the preclinical development and evaluation of cardiovascular implant devices (CVIDs) is a new industry. However, there is still no indicator system for quality evaluation. Our aim is to construct a service for quality evaluation system for the preclinical research and develo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396521/ https://www.ncbi.nlm.nih.gov/pubmed/30819177 http://dx.doi.org/10.1186/s12911-019-0773-4 |
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author | Cui, Yongchun Luo, Fuliang Yang, Boqing Li, Bin Zhang, Qi Das, Gopika Yue, Guangxin Li, Jiajie Tang, Yue Wang, Xin |
author_facet | Cui, Yongchun Luo, Fuliang Yang, Boqing Li, Bin Zhang, Qi Das, Gopika Yue, Guangxin Li, Jiajie Tang, Yue Wang, Xin |
author_sort | Cui, Yongchun |
collection | PubMed |
description | BACKGROUND: Services for the preclinical development and evaluation of cardiovascular implant devices (CVIDs) is a new industry. However, there is still no indicator system for quality evaluation. Our aim is to construct a service for quality evaluation system for the preclinical research and development of CVIDs based on Fuzzy Analytical Hierarchy Process (FAHP). METHODS: First, we reviewed the related literature to identify and select possible factors. Second, we developed an analytic hierarchy process framework. Third, we developed a questionnaire based on pairwise comparisons and invited 10 experienced specialists to rate these factors. We then used FAHP to compute the weights of these factors and prioritize them. Finally, to demonstrate the effectiveness of the proposed indicator system, a case study was performed as a practical example. RESULTS: Four main indicators (professionalism, functionality, stability and security) and 15 subindicators were selected to form the service evaluation system based on literature review and expert’s proposals. According to the weight calculation data, the order of primary indicators by importance, is professionalism (0.6457), security (0.1193), functionality (0.0958) and stability (0.0596) in sequence. Top five secondary indices are personnel’s technical ability, facility and equipment attractiveness, data auditability, confidentiality capability and professional service procedures. In the case study, FW’s final actual effectiveness value was 0.9076, which is the same as the actual situation. CONCLUSION: The indicator system established in this study is comprehensive, reasonable, reliable and with strong practicality. It is worth popularizing and applying. The implementation of this evaluation system can provide measurable evidence for service demander and a way to improve service quality for suppliers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-019-0773-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6396521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63965212019-03-13 Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices Cui, Yongchun Luo, Fuliang Yang, Boqing Li, Bin Zhang, Qi Das, Gopika Yue, Guangxin Li, Jiajie Tang, Yue Wang, Xin BMC Med Inform Decis Mak Research Article BACKGROUND: Services for the preclinical development and evaluation of cardiovascular implant devices (CVIDs) is a new industry. However, there is still no indicator system for quality evaluation. Our aim is to construct a service for quality evaluation system for the preclinical research and development of CVIDs based on Fuzzy Analytical Hierarchy Process (FAHP). METHODS: First, we reviewed the related literature to identify and select possible factors. Second, we developed an analytic hierarchy process framework. Third, we developed a questionnaire based on pairwise comparisons and invited 10 experienced specialists to rate these factors. We then used FAHP to compute the weights of these factors and prioritize them. Finally, to demonstrate the effectiveness of the proposed indicator system, a case study was performed as a practical example. RESULTS: Four main indicators (professionalism, functionality, stability and security) and 15 subindicators were selected to form the service evaluation system based on literature review and expert’s proposals. According to the weight calculation data, the order of primary indicators by importance, is professionalism (0.6457), security (0.1193), functionality (0.0958) and stability (0.0596) in sequence. Top five secondary indices are personnel’s technical ability, facility and equipment attractiveness, data auditability, confidentiality capability and professional service procedures. In the case study, FW’s final actual effectiveness value was 0.9076, which is the same as the actual situation. CONCLUSION: The indicator system established in this study is comprehensive, reasonable, reliable and with strong practicality. It is worth popularizing and applying. The implementation of this evaluation system can provide measurable evidence for service demander and a way to improve service quality for suppliers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-019-0773-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-28 /pmc/articles/PMC6396521/ /pubmed/30819177 http://dx.doi.org/10.1186/s12911-019-0773-4 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Cui, Yongchun Luo, Fuliang Yang, Boqing Li, Bin Zhang, Qi Das, Gopika Yue, Guangxin Li, Jiajie Tang, Yue Wang, Xin Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
title | Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
title_full | Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
title_fullStr | Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
title_full_unstemmed | Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
title_short | Construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
title_sort | construction and application of service quality evaluation system in the preclinical research on cardiovascular implant devices |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396521/ https://www.ncbi.nlm.nih.gov/pubmed/30819177 http://dx.doi.org/10.1186/s12911-019-0773-4 |
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