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Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment
BACKGROUND: A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multipl...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068074/ https://www.ncbi.nlm.nih.gov/pubmed/21385459 http://dx.doi.org/10.1186/1472-6947-11-16 |
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author | Lin, Hsueh-Chun Wu, Hsi-Chin Chang, Chih-Hung Li, Tsai-Chung Liang, Wen-Miin Wang, Jong-Yi Wang |
author_facet | Lin, Hsueh-Chun Wu, Hsi-Chin Chang, Chih-Hung Li, Tsai-Chung Liang, Wen-Miin Wang, Jong-Yi Wang |
author_sort | Lin, Hsueh-Chun |
collection | PubMed |
description | BACKGROUND: A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. METHODS: We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. RESULTS: The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. CONCLUSIONS: Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases. |
format | Text |
id | pubmed-3068074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30680742011-03-31 Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment Lin, Hsueh-Chun Wu, Hsi-Chin Chang, Chih-Hung Li, Tsai-Chung Liang, Wen-Miin Wang, Jong-Yi Wang BMC Med Inform Decis Mak Research Article BACKGROUND: A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. METHODS: We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. RESULTS: The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. CONCLUSIONS: Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases. BioMed Central 2011-03-08 /pmc/articles/PMC3068074/ /pubmed/21385459 http://dx.doi.org/10.1186/1472-6947-11-16 Text en Copyright ©2011 Lin et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lin, Hsueh-Chun Wu, Hsi-Chin Chang, Chih-Hung Li, Tsai-Chung Liang, Wen-Miin Wang, Jong-Yi Wang Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
title | Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
title_full | Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
title_fullStr | Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
title_full_unstemmed | Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
title_short | Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
title_sort | development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068074/ https://www.ncbi.nlm.nih.gov/pubmed/21385459 http://dx.doi.org/10.1186/1472-6947-11-16 |
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