Cargando…

Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards

Certified Cancer Centers must present all patients in multidisciplinary tumor boards (MTB), including standard cases with well-established treatment strategies. Too many standard cases can absorb much of the available time, which can be unfavorable for the discussion of complex cases. In any case, t...

Descripción completa

Detalles Bibliográficos
Autores principales: Ural, Yasemin, Elter, Thomas, Yilmaz, Yasemin, Hallek, Michael, Datta, Rabi Raj, Kleinert, Robert, Heidenreich, Axel, Pfister, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246794/
https://www.ncbi.nlm.nih.gov/pubmed/37285355
http://dx.doi.org/10.1371/journal.pdig.0000054
_version_ 1785055103389007872
author Ural, Yasemin
Elter, Thomas
Yilmaz, Yasemin
Hallek, Michael
Datta, Rabi Raj
Kleinert, Robert
Heidenreich, Axel
Pfister, David
author_facet Ural, Yasemin
Elter, Thomas
Yilmaz, Yasemin
Hallek, Michael
Datta, Rabi Raj
Kleinert, Robert
Heidenreich, Axel
Pfister, David
author_sort Ural, Yasemin
collection PubMed
description Certified Cancer Centers must present all patients in multidisciplinary tumor boards (MTB), including standard cases with well-established treatment strategies. Too many standard cases can absorb much of the available time, which can be unfavorable for the discussion of complex cases. In any case, this leads to a high quantity, but not necessarily a high quality of tumor boards. Our aim was to develop a partially algorithm-driven decision support system (DSS) for smart phones to provide evidence-based recommendations for first-line therapy of common urological cancers. To assure quality, we compared each single digital decision with recommendations of an experienced MTB and obtained the concordance.1873 prostate cancer patients presented in the MTB of the urological department of the University Hospital of Cologne from 2014 to 2018 have been evaluated. Patient characteristics included age, disease stage, Gleason Score, PSA and previous therapies. The questions addressed to MTB were again answered using DSS. All blinded pairs of answers were assessed for discrepancies by independent reviewers. Overall concordance rate was 99.1% (1856/1873). Stage specific concordance rates were 97.4% (stage I), 99.2% (stage II), 100% (stage III), and 99.2% (stage IV). Quality of concordance were independent of age and risk profile. The reliability of any DSS is the key feature before implementation in clinical routine. Although our system appears to provide this safety, we are now performing cross-validation with several clinics to further increase decision quality and avoid potential clinic bias.
format Online
Article
Text
id pubmed-10246794
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-102467942023-06-08 Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards Ural, Yasemin Elter, Thomas Yilmaz, Yasemin Hallek, Michael Datta, Rabi Raj Kleinert, Robert Heidenreich, Axel Pfister, David PLOS Digit Health Research Article Certified Cancer Centers must present all patients in multidisciplinary tumor boards (MTB), including standard cases with well-established treatment strategies. Too many standard cases can absorb much of the available time, which can be unfavorable for the discussion of complex cases. In any case, this leads to a high quantity, but not necessarily a high quality of tumor boards. Our aim was to develop a partially algorithm-driven decision support system (DSS) for smart phones to provide evidence-based recommendations for first-line therapy of common urological cancers. To assure quality, we compared each single digital decision with recommendations of an experienced MTB and obtained the concordance.1873 prostate cancer patients presented in the MTB of the urological department of the University Hospital of Cologne from 2014 to 2018 have been evaluated. Patient characteristics included age, disease stage, Gleason Score, PSA and previous therapies. The questions addressed to MTB were again answered using DSS. All blinded pairs of answers were assessed for discrepancies by independent reviewers. Overall concordance rate was 99.1% (1856/1873). Stage specific concordance rates were 97.4% (stage I), 99.2% (stage II), 100% (stage III), and 99.2% (stage IV). Quality of concordance were independent of age and risk profile. The reliability of any DSS is the key feature before implementation in clinical routine. Although our system appears to provide this safety, we are now performing cross-validation with several clinics to further increase decision quality and avoid potential clinic bias. Public Library of Science 2023-06-07 /pmc/articles/PMC10246794/ /pubmed/37285355 http://dx.doi.org/10.1371/journal.pdig.0000054 Text en © 2023 Ural et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ural, Yasemin
Elter, Thomas
Yilmaz, Yasemin
Hallek, Michael
Datta, Rabi Raj
Kleinert, Robert
Heidenreich, Axel
Pfister, David
Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
title Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
title_full Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
title_fullStr Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
title_full_unstemmed Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
title_short Validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
title_sort validation and implementation of a mobile app decision support system for prostate cancer to improve quality of tumor boards
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246794/
https://www.ncbi.nlm.nih.gov/pubmed/37285355
http://dx.doi.org/10.1371/journal.pdig.0000054
work_keys_str_mv AT uralyasemin validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT elterthomas validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT yilmazyasemin validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT hallekmichael validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT dattarabiraj validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT kleinertrobert validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT heidenreichaxel validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards
AT pfisterdavid validationandimplementationofamobileappdecisionsupportsystemforprostatecancertoimprovequalityoftumorboards