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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Main Authors: Yunhee Lee, Youngmoon Chae, Sungwan Jeon
Format: Article
Language:English
Published: The Korean Society of Medical Informatics 2010-12-01
Series:Healthcare Informatics Research
Subjects:
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.
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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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AT youngmoonchae integrationandevaluationofclinicaldecisionsupportsystemsfordiagnosisidopathicspulmonaryfibrosisipf
AT sungwanjeon integrationandevaluationofclinicaldecisionsupportsystemsfordiagnosisidopathicspulmonaryfibrosisipf