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A Conceptual Model of an Oncology Information System

INTRODUCTION: Oncologists are usually faced with a huge amount of diagnostic and therapeutic data in the process of cancer care. However, they do not have access to the integrated data. This research aimed to present a conceptual model of an oncology information system based on the users’ requiremen...

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Autores principales: Yazdanian, Azadeh, Ayatollahi, Haleh, Nahvijou, Azin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419618/
https://www.ncbi.nlm.nih.gov/pubmed/32821154
http://dx.doi.org/10.2147/CMAR.S259013
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author Yazdanian, Azadeh
Ayatollahi, Haleh
Nahvijou, Azin
author_facet Yazdanian, Azadeh
Ayatollahi, Haleh
Nahvijou, Azin
author_sort Yazdanian, Azadeh
collection PubMed
description INTRODUCTION: Oncologists are usually faced with a huge amount of diagnostic and therapeutic data in the process of cancer care. However, they do not have access to the integrated data. This research aimed to present a conceptual model of an oncology information system based on the users’ requirements. METHODS: This study was conducted in 2019 and composed of two phases. Initially, a questionnaire was designed, and clinical experts (n=34) were asked to identify the most important data elements and functional requirements in an oncology information system. In the second phase, conceptual, structural and behavioral diagrams of the system were drawn based on the results of the first phase. These diagrams were also reviewed and validated by five experts. RESULTS: Most of the data elements and all functional requirements were found important by the experts. The data elements were related to different phases of cancer care including screening, prevention, diagnosis, treatment, mental care and pain relief, and end-of-life care. Then, conceptual, structural and behavioral diagrams of the system were designed and approved by the experts or revised based on their comments. CONCLUSION: The conceptual model and the diagrams presented in the current study can be used for developing an oncology information system. This system will be able to manage patients’ cancer data from screening to the end-of-life care. However, the system needs to be designed and implemented in a real healthcare setting to see how it can meet users’ requirements.
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spelling pubmed-74196182020-08-19 A Conceptual Model of an Oncology Information System Yazdanian, Azadeh Ayatollahi, Haleh Nahvijou, Azin Cancer Manag Res Original Research INTRODUCTION: Oncologists are usually faced with a huge amount of diagnostic and therapeutic data in the process of cancer care. However, they do not have access to the integrated data. This research aimed to present a conceptual model of an oncology information system based on the users’ requirements. METHODS: This study was conducted in 2019 and composed of two phases. Initially, a questionnaire was designed, and clinical experts (n=34) were asked to identify the most important data elements and functional requirements in an oncology information system. In the second phase, conceptual, structural and behavioral diagrams of the system were drawn based on the results of the first phase. These diagrams were also reviewed and validated by five experts. RESULTS: Most of the data elements and all functional requirements were found important by the experts. The data elements were related to different phases of cancer care including screening, prevention, diagnosis, treatment, mental care and pain relief, and end-of-life care. Then, conceptual, structural and behavioral diagrams of the system were designed and approved by the experts or revised based on their comments. CONCLUSION: The conceptual model and the diagrams presented in the current study can be used for developing an oncology information system. This system will be able to manage patients’ cancer data from screening to the end-of-life care. However, the system needs to be designed and implemented in a real healthcare setting to see how it can meet users’ requirements. Dove 2020-07-27 /pmc/articles/PMC7419618/ /pubmed/32821154 http://dx.doi.org/10.2147/CMAR.S259013 Text en © 2020 Yazdanian et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Yazdanian, Azadeh
Ayatollahi, Haleh
Nahvijou, Azin
A Conceptual Model of an Oncology Information System
title A Conceptual Model of an Oncology Information System
title_full A Conceptual Model of an Oncology Information System
title_fullStr A Conceptual Model of an Oncology Information System
title_full_unstemmed A Conceptual Model of an Oncology Information System
title_short A Conceptual Model of an Oncology Information System
title_sort conceptual model of an oncology information system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419618/
https://www.ncbi.nlm.nih.gov/pubmed/32821154
http://dx.doi.org/10.2147/CMAR.S259013
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