Cargando…

Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software

OBJECTIVES: To analyze the response in the management of both radiological emergencies and continuity of care in oncologic/fragile patients of a radiology department of Sant’Andrea Academic Hospital in Rome supported by a dedicated business analytics software during the COVID-19 pandemic. METHODS: I...

Descripción completa

Detalles Bibliográficos
Autores principales: Laghi, Andrea, Tamburi, Virginia, Polici, Michela, Anibaldi, Paolo, Marcolongo, Adriano, Caruso, Damiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981182/
https://www.ncbi.nlm.nih.gov/pubmed/35380224
http://dx.doi.org/10.1007/s00330-022-08709-3
_version_ 1784681549231292416
author Laghi, Andrea
Tamburi, Virginia
Polici, Michela
Anibaldi, Paolo
Marcolongo, Adriano
Caruso, Damiano
author_facet Laghi, Andrea
Tamburi, Virginia
Polici, Michela
Anibaldi, Paolo
Marcolongo, Adriano
Caruso, Damiano
author_sort Laghi, Andrea
collection PubMed
description OBJECTIVES: To analyze the response in the management of both radiological emergencies and continuity of care in oncologic/fragile patients of a radiology department of Sant’Andrea Academic Hospital in Rome supported by a dedicated business analytics software during the COVID-19 pandemic. METHODS: Imaging volumes and workflows for 2019 and 2020 were analyzed. Information was collected from the hospital data warehouse and evaluated using a business analytics software, aggregated both per week and per quarter, stratified by patient service location (emergency department, inpatients, outpatients) and imaging modality. For emergency radiology subunit, radiologist workload, machine workload, and turnaround times (TATs) were also analyzed. RESULTS: Total imaging volume in 2020 decreased by 21.5% compared to that in 2019 (p < .001); CT in outpatients increased by 11.7% (p < .005). Median global TAT and median code-blue global TAT were not statistically significantly different between 2019 and 2020 and between the first and the second pandemic waves in 2020 (all p > .09). Radiologist workload decreased by 24.7% (p < .001) during the first pandemic wave in 2020 compared with the same weeks of 2019 and showed no statistically significant difference during the second pandemic wave, compared with the same weeks of 2019 (p = 0.19). CONCLUSIONS: Despite the reduction of total imaging volume due to the COVID-19 pandemic in 2020 compared to 2019, management decisions supported by a dedicated business analytics software allowed to increase the number of CT in fragile/oncologic outpatients without significantly affecting emergency radiology TATs, and emergency radiologist workload. KEY POINTS: • During the COVID-19 pandemic, management decisions supported by business analytics software guaranteed efficiency of emergency and preservation of fragile/oncologic patient continuity of care. • Real-time data monitoring using business analytics software is essential for appropriate management decisions in a department of radiology. • Business analytics should be gradually introduced in all healthcare institutions to identify strong and weak points in workflow taking correct decisions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08709-3.
format Online
Article
Text
id pubmed-8981182
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-89811822022-04-05 Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software Laghi, Andrea Tamburi, Virginia Polici, Michela Anibaldi, Paolo Marcolongo, Adriano Caruso, Damiano Eur Radiol Health Economy OBJECTIVES: To analyze the response in the management of both radiological emergencies and continuity of care in oncologic/fragile patients of a radiology department of Sant’Andrea Academic Hospital in Rome supported by a dedicated business analytics software during the COVID-19 pandemic. METHODS: Imaging volumes and workflows for 2019 and 2020 were analyzed. Information was collected from the hospital data warehouse and evaluated using a business analytics software, aggregated both per week and per quarter, stratified by patient service location (emergency department, inpatients, outpatients) and imaging modality. For emergency radiology subunit, radiologist workload, machine workload, and turnaround times (TATs) were also analyzed. RESULTS: Total imaging volume in 2020 decreased by 21.5% compared to that in 2019 (p < .001); CT in outpatients increased by 11.7% (p < .005). Median global TAT and median code-blue global TAT were not statistically significantly different between 2019 and 2020 and between the first and the second pandemic waves in 2020 (all p > .09). Radiologist workload decreased by 24.7% (p < .001) during the first pandemic wave in 2020 compared with the same weeks of 2019 and showed no statistically significant difference during the second pandemic wave, compared with the same weeks of 2019 (p = 0.19). CONCLUSIONS: Despite the reduction of total imaging volume due to the COVID-19 pandemic in 2020 compared to 2019, management decisions supported by a dedicated business analytics software allowed to increase the number of CT in fragile/oncologic outpatients without significantly affecting emergency radiology TATs, and emergency radiologist workload. KEY POINTS: • During the COVID-19 pandemic, management decisions supported by business analytics software guaranteed efficiency of emergency and preservation of fragile/oncologic patient continuity of care. • Real-time data monitoring using business analytics software is essential for appropriate management decisions in a department of radiology. • Business analytics should be gradually introduced in all healthcare institutions to identify strong and weak points in workflow taking correct decisions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08709-3. Springer Berlin Heidelberg 2022-04-05 2022 /pmc/articles/PMC8981182/ /pubmed/35380224 http://dx.doi.org/10.1007/s00330-022-08709-3 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Health Economy
Laghi, Andrea
Tamburi, Virginia
Polici, Michela
Anibaldi, Paolo
Marcolongo, Adriano
Caruso, Damiano
Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
title Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
title_full Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
title_fullStr Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
title_full_unstemmed Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
title_short Management decisions of an Academic Radiology Department during COVID-19 pandemic: the important support of a business analytics software
title_sort management decisions of an academic radiology department during covid-19 pandemic: the important support of a business analytics software
topic Health Economy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981182/
https://www.ncbi.nlm.nih.gov/pubmed/35380224
http://dx.doi.org/10.1007/s00330-022-08709-3
work_keys_str_mv AT laghiandrea managementdecisionsofanacademicradiologydepartmentduringcovid19pandemictheimportantsupportofabusinessanalyticssoftware
AT tamburivirginia managementdecisionsofanacademicradiologydepartmentduringcovid19pandemictheimportantsupportofabusinessanalyticssoftware
AT policimichela managementdecisionsofanacademicradiologydepartmentduringcovid19pandemictheimportantsupportofabusinessanalyticssoftware
AT anibaldipaolo managementdecisionsofanacademicradiologydepartmentduringcovid19pandemictheimportantsupportofabusinessanalyticssoftware
AT marcolongoadriano managementdecisionsofanacademicradiologydepartmentduringcovid19pandemictheimportantsupportofabusinessanalyticssoftware
AT carusodamiano managementdecisionsofanacademicradiologydepartmentduringcovid19pandemictheimportantsupportofabusinessanalyticssoftware