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Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress
INTRODUCTION: Cancer is a primary public concern in the European continent. Due to the large case numbers and survival rates, a significant population is living with cancer needs. Consequently, health professionals must deal with complex treatment decision-making processes. In this context, a large...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869047/ https://www.ncbi.nlm.nih.gov/pubmed/36698423 http://dx.doi.org/10.3389/fonc.2022.1043411 |
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author | Valero-Ramon, Zoe Fernandez-Llatas, Carlos Collantes, Gonzalo Valdivieso, Bernardo Billis, Antonis Bamidis, Panagiotis Traver, Vicente |
author_facet | Valero-Ramon, Zoe Fernandez-Llatas, Carlos Collantes, Gonzalo Valdivieso, Bernardo Billis, Antonis Bamidis, Panagiotis Traver, Vicente |
author_sort | Valero-Ramon, Zoe |
collection | PubMed |
description | INTRODUCTION: Cancer is a primary public concern in the European continent. Due to the large case numbers and survival rates, a significant population is living with cancer needs. Consequently, health professionals must deal with complex treatment decision-making processes. In this context, a large quantity of data is collected during cancer care delivery. Once collected, these data are complex for health professionals to access to support clinical decision-making and performance review. There is a need for innovative tools that make clinical data more accessible to support cancer health professionals in these activities. METHODS: Following a co-creation, an interactive approach thanks to the Interactive Process Mining paradigm, and data from a tertiary hospital, we developed an exploratory tool to present cancer patients' progress over time. RESULTS: This work aims to collect and report the process of developing an exploratory analytical Interactive Process Mining tool with clinical relevance for healthcare professionals for monitoring cancer patients' care processes in the context of the LifeChamps project together with a graphical and navigable Process Indicator in the context of prostate cancer patients. DISCUSSION: The tool presented includes Process Mining techniques to infer actual processes and present understandable results visually and navigable, looking for different types of patients, trajectories, and behaviors. |
format | Online Article Text |
id | pubmed-9869047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98690472023-01-24 Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress Valero-Ramon, Zoe Fernandez-Llatas, Carlos Collantes, Gonzalo Valdivieso, Bernardo Billis, Antonis Bamidis, Panagiotis Traver, Vicente Front Oncol Oncology INTRODUCTION: Cancer is a primary public concern in the European continent. Due to the large case numbers and survival rates, a significant population is living with cancer needs. Consequently, health professionals must deal with complex treatment decision-making processes. In this context, a large quantity of data is collected during cancer care delivery. Once collected, these data are complex for health professionals to access to support clinical decision-making and performance review. There is a need for innovative tools that make clinical data more accessible to support cancer health professionals in these activities. METHODS: Following a co-creation, an interactive approach thanks to the Interactive Process Mining paradigm, and data from a tertiary hospital, we developed an exploratory tool to present cancer patients' progress over time. RESULTS: This work aims to collect and report the process of developing an exploratory analytical Interactive Process Mining tool with clinical relevance for healthcare professionals for monitoring cancer patients' care processes in the context of the LifeChamps project together with a graphical and navigable Process Indicator in the context of prostate cancer patients. DISCUSSION: The tool presented includes Process Mining techniques to infer actual processes and present understandable results visually and navigable, looking for different types of patients, trajectories, and behaviors. Frontiers Media S.A. 2023-01-09 /pmc/articles/PMC9869047/ /pubmed/36698423 http://dx.doi.org/10.3389/fonc.2022.1043411 Text en Copyright © 2023 Valero-Ramon, Fernandez-Llatas, Collantes, Valdivieso, Billis, Bamidis and Traver https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Valero-Ramon, Zoe Fernandez-Llatas, Carlos Collantes, Gonzalo Valdivieso, Bernardo Billis, Antonis Bamidis, Panagiotis Traver, Vicente Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
title | Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
title_full | Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
title_fullStr | Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
title_full_unstemmed | Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
title_short | Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
title_sort | analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869047/ https://www.ncbi.nlm.nih.gov/pubmed/36698423 http://dx.doi.org/10.3389/fonc.2022.1043411 |
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