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A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
BACKGROUND: Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk. OBJECTIVE: The aim of this study was...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260527/ https://www.ncbi.nlm.nih.gov/pubmed/35731549 http://dx.doi.org/10.2196/34753 |
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author | Chekin, Nasrin Ayatollahi, Haleh Karimi Zarchi, Mojgan |
author_facet | Chekin, Nasrin Ayatollahi, Haleh Karimi Zarchi, Mojgan |
author_sort | Chekin, Nasrin |
collection | PubMed |
description | BACKGROUND: Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk. OBJECTIVE: The aim of this study was to develop a clinical decision support system to assess the risk of cervical cancer. METHODS: This study was conducted in 2 phases in 2021. In the first phase of the study, 20 gynecologists completed a questionnaire to determine the essential parameters for assessing the risk of cervical cancer, and the data were analyzed using descriptive statistics. In the second phase of the study, the prototype of the clinical decision support system was developed and evaluated. RESULTS: The findings revealed that the most important parameters for assessing the risk of cervical cancer consisted of general and specific parameters. In total, the 8 parameters that had the greatest impact on the risk of cervical cancer were selected. After developing the clinical decision support system, it was evaluated and the mean values of sensitivity, specificity, and accuracy were 85.81%, 93.82%, and 91.39%, respectively. CONCLUSIONS: The clinical decision support system developed in this study can facilitate the process of identifying people who are at risk of developing cervical cancer. In addition, it can help to increase the quality of health care and reduce the costs associated with the treatment of cervical cancer. |
format | Online Article Text |
id | pubmed-9260527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92605272022-07-08 A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study Chekin, Nasrin Ayatollahi, Haleh Karimi Zarchi, Mojgan JMIR Med Inform Original Paper BACKGROUND: Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk. OBJECTIVE: The aim of this study was to develop a clinical decision support system to assess the risk of cervical cancer. METHODS: This study was conducted in 2 phases in 2021. In the first phase of the study, 20 gynecologists completed a questionnaire to determine the essential parameters for assessing the risk of cervical cancer, and the data were analyzed using descriptive statistics. In the second phase of the study, the prototype of the clinical decision support system was developed and evaluated. RESULTS: The findings revealed that the most important parameters for assessing the risk of cervical cancer consisted of general and specific parameters. In total, the 8 parameters that had the greatest impact on the risk of cervical cancer were selected. After developing the clinical decision support system, it was evaluated and the mean values of sensitivity, specificity, and accuracy were 85.81%, 93.82%, and 91.39%, respectively. CONCLUSIONS: The clinical decision support system developed in this study can facilitate the process of identifying people who are at risk of developing cervical cancer. In addition, it can help to increase the quality of health care and reduce the costs associated with the treatment of cervical cancer. JMIR Publications 2022-06-22 /pmc/articles/PMC9260527/ /pubmed/35731549 http://dx.doi.org/10.2196/34753 Text en ©Nasrin Chekin, Haleh Ayatollahi, Mojgan Karimi Zarchi. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.06.2022. 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 work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Chekin, Nasrin Ayatollahi, Haleh Karimi Zarchi, Mojgan A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study |
title | A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study |
title_full | A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study |
title_fullStr | A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study |
title_full_unstemmed | A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study |
title_short | A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study |
title_sort | clinical decision support system for assessing the risk of cervical cancer: development and evaluation study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260527/ https://www.ncbi.nlm.nih.gov/pubmed/35731549 http://dx.doi.org/10.2196/34753 |
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