Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF)
ObjectivesThe purpose of this study was to develop clinical decision support systems (CDSS) that are integrated with hospital information systems for the differential diagnosis of idiopathic pulmonary fibrosis (IPF).MethodsThe integrated CDSS were validated and evaluated by physicians. Knowledge mod...
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Format: | Article |
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The Korean Society of Medical Informatics
2010-12-01
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Series: | Healthcare Informatics Research |
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Online Access: | http://e-hir.org/upload/pdf/hir-16-260.pdf |
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author | Yunhee Lee Youngmoon Chae Sungwan Jeon |
author_facet | Yunhee Lee Youngmoon Chae Sungwan Jeon |
author_sort | Yunhee Lee |
collection | DOAJ |
description | ObjectivesThe purpose of this study was to develop clinical decision support systems (CDSS) that are integrated with hospital information systems for the differential diagnosis of idiopathic pulmonary fibrosis (IPF).MethodsThe integrated CDSS were validated and evaluated by physicians. Knowledge modeling for diagnosing IPF was performed by knowledge working groups, composed of radiologists and respiratory specialists. In order to develop the model for CDSS diagnosis, the clinical cases were collected from 290 cases from Seoul National University Hospital and Sevrance Hospital of Yonsei University. For the evaluation of integrated CDSS, interviews were conducted with respiratory specialists and radiologist 2 weeks after applying CDSSs in clinical settings. The CDSS was integrated with the computer vision system (CVS) and diffuse parenchymal lung diseases (DPLD), CDSS developed in our previous project.ResultsEighteen cases diagnosed as IPF were applied to the collection of diagnostic knowledge and the refined knowledge, the former diagnosed 1 case (6%) and the latter diagnosed 14 cases (78%). Therefore, the refined knowledge performed better than collected knowledge. The validation results of integrated CDSSs showed that 81 cases (74.3%) were diagnosed correctly.ConclusionsThere were 109 cases of IPF diagnosed and initiated on treatment. The significance of this study is in developing integrated CDSS with PACS by acquiring and redefining the knowledge needed for IPF diagnosis. In addition, it is significant for the integration of CDSS to verification and clinical evaluation. |
first_indexed | 2024-04-11T14:52:24Z |
format | Article |
id | doaj.art-07d759874d7a4aacab518a3903453ee5 |
institution | Directory Open Access Journal |
issn | 2093-3681 2093-369X |
language | English |
last_indexed | 2024-04-11T14:52:24Z |
publishDate | 2010-12-01 |
publisher | The Korean Society of Medical Informatics |
record_format | Article |
series | Healthcare Informatics Research |
spelling | doaj.art-07d759874d7a4aacab518a3903453ee52022-12-22T04:17:23ZengThe Korean Society of Medical InformaticsHealthcare Informatics Research2093-36812093-369X2010-12-0116426027210.4258/hir.2010.16.4.260562Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF)Yunhee Lee0Youngmoon Chae1Sungwan Jeon2Graduate School of Information, Yonsei University, Seoul, Kore.Graduate School of Public Health, Yonsei University, Seoul, Kore.Division of Pulmonology , Severance Hospital, Yonsei University College of Medicine, Seoul, Kore.ObjectivesThe purpose of this study was to develop clinical decision support systems (CDSS) that are integrated with hospital information systems for the differential diagnosis of idiopathic pulmonary fibrosis (IPF).MethodsThe integrated CDSS were validated and evaluated by physicians. Knowledge modeling for diagnosing IPF was performed by knowledge working groups, composed of radiologists and respiratory specialists. In order to develop the model for CDSS diagnosis, the clinical cases were collected from 290 cases from Seoul National University Hospital and Sevrance Hospital of Yonsei University. For the evaluation of integrated CDSS, interviews were conducted with respiratory specialists and radiologist 2 weeks after applying CDSSs in clinical settings. The CDSS was integrated with the computer vision system (CVS) and diffuse parenchymal lung diseases (DPLD), CDSS developed in our previous project.ResultsEighteen cases diagnosed as IPF were applied to the collection of diagnostic knowledge and the refined knowledge, the former diagnosed 1 case (6%) and the latter diagnosed 14 cases (78%). Therefore, the refined knowledge performed better than collected knowledge. The validation results of integrated CDSSs showed that 81 cases (74.3%) were diagnosed correctly.ConclusionsThere were 109 cases of IPF diagnosed and initiated on treatment. The significance of this study is in developing integrated CDSS with PACS by acquiring and redefining the knowledge needed for IPF diagnosis. In addition, it is significant for the integration of CDSS to verification and clinical evaluation.http://e-hir.org/upload/pdf/hir-16-260.pdfclinical decision support systemsidiopathic pulmonary fibrosiscomputer vision systemradiology information systems |
spellingShingle | Yunhee Lee Youngmoon Chae Sungwan Jeon Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF) Healthcare Informatics Research clinical decision support systems idiopathic pulmonary fibrosis computer vision system radiology information systems |
title | Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF) |
title_full | Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF) |
title_fullStr | Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF) |
title_full_unstemmed | Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF) |
title_short | Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF) |
title_sort | integration and evaluation of clinical decision support systems for diagnosis idopathics pulmonary fibrosis ipf |
topic | clinical decision support systems idiopathic pulmonary fibrosis computer vision system radiology information systems |
url | http://e-hir.org/upload/pdf/hir-16-260.pdf |
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