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Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans

BACKGROUND: The management of the use of iodinated contrast agents (ICA) in the computed tomography (CT) has clinical and financial impacts; however, the approaches in the current research setting have limitations with regard to their exploration of the theme. This work describes the application of...

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Autores principales: Andrade, José Rodrigo M., Blomberg, Luciano Costa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957133/
https://www.ncbi.nlm.nih.gov/pubmed/35337316
http://dx.doi.org/10.1186/s12911-022-01814-9
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author Andrade, José Rodrigo M.
Blomberg, Luciano Costa
author_facet Andrade, José Rodrigo M.
Blomberg, Luciano Costa
author_sort Andrade, José Rodrigo M.
collection PubMed
description BACKGROUND: The management of the use of iodinated contrast agents (ICA) in the computed tomography (CT) has clinical and financial impacts; however, the approaches in the current research setting have limitations with regard to their exploration of the theme. This work describes the application of the stages of a process of business intelligence (BI), from the formulation of business questions, the building of a research database, and the adaptation of a multidimensional model, to the creation of dashboards to give support to the decision-making process in a hospital. This research aims to apply and document a BI process that provides support to the decision making of managers, so the use of ICA can be better managed, allowing for the identification of situations in which the material was wasted using a study applied to the hospital field. METHODS: An applied exploratory research with a quantitative approach in a database made up by 24 variables and 35,388 records extracted from the RIS (Radiology Information System) that is used by the General Hospital of Porto Alegre—HCPA. The software used, supplied by AGFA Healthcare, were the Qdoc system (version 6.2.0) and the Impax BI (Version 11.1.1) for, respectively, data entry and data exploration. At the end of the process, a total of 48 variables was considered. RESULTS: The BI process applied allowed for the identification of situations in which ICA was being wasted during the operationalization of the volume/mass ratio of the agent injected in the patient. It also offered the necessary substantiation for the managers to formulate plans, actions, and controls associated to the use of the material. This work made it possible to diminish in 15.65% the total consumption of ICA injected in the patients who underwent the CTAB1 exam (full CT scan of the abdomen), with a projected economy of US$ 10,039.95, for the performance of this exam from 2020 on. The measuring of the impact and the relevance of the process was 99.6% positive, according to the evaluation of the managers. CONCLUSIONS: This research generated clinical and financial benefits for the HCPA, a positive evaluation by the managers and the generation of new knowledge, which can be shared with other public or private health organizations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01814-9.
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spelling pubmed-89571332022-03-27 Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans Andrade, José Rodrigo M. Blomberg, Luciano Costa BMC Med Inform Decis Mak Research BACKGROUND: The management of the use of iodinated contrast agents (ICA) in the computed tomography (CT) has clinical and financial impacts; however, the approaches in the current research setting have limitations with regard to their exploration of the theme. This work describes the application of the stages of a process of business intelligence (BI), from the formulation of business questions, the building of a research database, and the adaptation of a multidimensional model, to the creation of dashboards to give support to the decision-making process in a hospital. This research aims to apply and document a BI process that provides support to the decision making of managers, so the use of ICA can be better managed, allowing for the identification of situations in which the material was wasted using a study applied to the hospital field. METHODS: An applied exploratory research with a quantitative approach in a database made up by 24 variables and 35,388 records extracted from the RIS (Radiology Information System) that is used by the General Hospital of Porto Alegre—HCPA. The software used, supplied by AGFA Healthcare, were the Qdoc system (version 6.2.0) and the Impax BI (Version 11.1.1) for, respectively, data entry and data exploration. At the end of the process, a total of 48 variables was considered. RESULTS: The BI process applied allowed for the identification of situations in which ICA was being wasted during the operationalization of the volume/mass ratio of the agent injected in the patient. It also offered the necessary substantiation for the managers to formulate plans, actions, and controls associated to the use of the material. This work made it possible to diminish in 15.65% the total consumption of ICA injected in the patients who underwent the CTAB1 exam (full CT scan of the abdomen), with a projected economy of US$ 10,039.95, for the performance of this exam from 2020 on. The measuring of the impact and the relevance of the process was 99.6% positive, according to the evaluation of the managers. CONCLUSIONS: This research generated clinical and financial benefits for the HCPA, a positive evaluation by the managers and the generation of new knowledge, which can be shared with other public or private health organizations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01814-9. BioMed Central 2022-03-25 /pmc/articles/PMC8957133/ /pubmed/35337316 http://dx.doi.org/10.1186/s12911-022-01814-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Andrade, José Rodrigo M.
Blomberg, Luciano Costa
Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
title Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
title_full Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
title_fullStr Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
title_full_unstemmed Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
title_short Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
title_sort business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957133/
https://www.ncbi.nlm.nih.gov/pubmed/35337316
http://dx.doi.org/10.1186/s12911-022-01814-9
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