Mobilizing clinical decision support to facilitate knowledge translation: A case study in China
Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yinsheng Zhang [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. |
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| Übergeordnetes Werk: |
Enthalten in: Computers in biology and medicine - New York, NY [u.a.] : Pergamon Press, 1970, 60(2015), Seite 40-50 |
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| Übergeordnetes Werk: |
volume:60 ; year:2015 ; pages:40-50 |
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| DOI / URN: |
10.1016/j.compbiomed.2015.02.013 |
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| 520 | |a Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. | ||
| 540 | |a Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. | ||
| 650 | 4 | |a Knowledge acquisition | |
| 650 | 4 | |a Medical research | |
| 650 | 4 | |a Decision support systems | |
| 650 | 4 | |a Studies | |
| 650 | 4 | |a Clinical decision support | |
| 650 | 4 | |a Clinical medicine | |
| 650 | 4 | |a Knowledge representation | |
| 650 | 4 | |a Infrastructure | |
| 650 | 4 | |a Decision making | |
| 650 | 4 | |a Knowledge management | |
| 650 | 4 | |a Context-aware knowledge retrieval | |
| 650 | 4 | |a Natural language processing | |
| 650 | 4 | |a Drug use | |
| 650 | 4 | |a Ontology | |
| 650 | 4 | |a Inference engine | |
| 650 | 4 | |a Knowledge translation | |
| 650 | 4 | |a Physicians | |
| 650 | 4 | |a Medical Informatics - methods | |
| 650 | 4 | |a Translational Medical Research - methods | |
| 700 | 0 | |a Haomin Li |4 oth | |
| 700 | 0 | |a Huilong Duan |4 oth | |
| 700 | 0 | |a Yinhong Zhao |4 oth | |
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10.1016/j.compbiomed.2015.02.013 doi PQ20160617 (DE-627)OLC1962383881 (DE-599)GBVOLC1962383881 (PRQ)c2773-76e4bf46e82d8c0a0b6681d8640071e123a3021605b32dccc2d72b3a385fbaf60 (KEY)0003445220150000060000000040mobilizingclinicaldecisionsupporttofacilitateknowl DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl Yinsheng Zhang verfasserin aut Mobilizing clinical decision support to facilitate knowledge translation: A case study in China 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. Knowledge acquisition Medical research Decision support systems Studies Clinical decision support Clinical medicine Knowledge representation Infrastructure Decision making Knowledge management Context-aware knowledge retrieval Natural language processing Drug use Ontology Inference engine Knowledge translation Physicians Medical Informatics - methods Translational Medical Research - methods Haomin Li oth Huilong Duan oth Yinhong Zhao oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 60(2015), Seite 40-50 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:60 year:2015 pages:40-50 http://dx.doi.org/10.1016/j.compbiomed.2015.02.013 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25754360 http://search.proquest.com/docview/1672295064 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 60 2015 40-50 |
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10.1016/j.compbiomed.2015.02.013 doi PQ20160617 (DE-627)OLC1962383881 (DE-599)GBVOLC1962383881 (PRQ)c2773-76e4bf46e82d8c0a0b6681d8640071e123a3021605b32dccc2d72b3a385fbaf60 (KEY)0003445220150000060000000040mobilizingclinicaldecisionsupporttofacilitateknowl DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl Yinsheng Zhang verfasserin aut Mobilizing clinical decision support to facilitate knowledge translation: A case study in China 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. Knowledge acquisition Medical research Decision support systems Studies Clinical decision support Clinical medicine Knowledge representation Infrastructure Decision making Knowledge management Context-aware knowledge retrieval Natural language processing Drug use Ontology Inference engine Knowledge translation Physicians Medical Informatics - methods Translational Medical Research - methods Haomin Li oth Huilong Duan oth Yinhong Zhao oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 60(2015), Seite 40-50 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:60 year:2015 pages:40-50 http://dx.doi.org/10.1016/j.compbiomed.2015.02.013 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25754360 http://search.proquest.com/docview/1672295064 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 60 2015 40-50 |
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10.1016/j.compbiomed.2015.02.013 doi PQ20160617 (DE-627)OLC1962383881 (DE-599)GBVOLC1962383881 (PRQ)c2773-76e4bf46e82d8c0a0b6681d8640071e123a3021605b32dccc2d72b3a385fbaf60 (KEY)0003445220150000060000000040mobilizingclinicaldecisionsupporttofacilitateknowl DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl Yinsheng Zhang verfasserin aut Mobilizing clinical decision support to facilitate knowledge translation: A case study in China 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. Knowledge acquisition Medical research Decision support systems Studies Clinical decision support Clinical medicine Knowledge representation Infrastructure Decision making Knowledge management Context-aware knowledge retrieval Natural language processing Drug use Ontology Inference engine Knowledge translation Physicians Medical Informatics - methods Translational Medical Research - methods Haomin Li oth Huilong Duan oth Yinhong Zhao oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 60(2015), Seite 40-50 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:60 year:2015 pages:40-50 http://dx.doi.org/10.1016/j.compbiomed.2015.02.013 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25754360 http://search.proquest.com/docview/1672295064 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 60 2015 40-50 |
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10.1016/j.compbiomed.2015.02.013 doi PQ20160617 (DE-627)OLC1962383881 (DE-599)GBVOLC1962383881 (PRQ)c2773-76e4bf46e82d8c0a0b6681d8640071e123a3021605b32dccc2d72b3a385fbaf60 (KEY)0003445220150000060000000040mobilizingclinicaldecisionsupporttofacilitateknowl DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl Yinsheng Zhang verfasserin aut Mobilizing clinical decision support to facilitate knowledge translation: A case study in China 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. Knowledge acquisition Medical research Decision support systems Studies Clinical decision support Clinical medicine Knowledge representation Infrastructure Decision making Knowledge management Context-aware knowledge retrieval Natural language processing Drug use Ontology Inference engine Knowledge translation Physicians Medical Informatics - methods Translational Medical Research - methods Haomin Li oth Huilong Duan oth Yinhong Zhao oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 60(2015), Seite 40-50 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:60 year:2015 pages:40-50 http://dx.doi.org/10.1016/j.compbiomed.2015.02.013 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25754360 http://search.proquest.com/docview/1672295064 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 60 2015 40-50 |
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10.1016/j.compbiomed.2015.02.013 doi PQ20160617 (DE-627)OLC1962383881 (DE-599)GBVOLC1962383881 (PRQ)c2773-76e4bf46e82d8c0a0b6681d8640071e123a3021605b32dccc2d72b3a385fbaf60 (KEY)0003445220150000060000000040mobilizingclinicaldecisionsupporttofacilitateknowl DE-627 ger DE-627 rakwb eng 610 570 DNB 44.00 bkl 42.00 bkl Yinsheng Zhang verfasserin aut Mobilizing clinical decision support to facilitate knowledge translation: A case study in China 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. Nutzungsrecht: Copyright © 2015 Elsevier Ltd. All rights reserved. Knowledge acquisition Medical research Decision support systems Studies Clinical decision support Clinical medicine Knowledge representation Infrastructure Decision making Knowledge management Context-aware knowledge retrieval Natural language processing Drug use Ontology Inference engine Knowledge translation Physicians Medical Informatics - methods Translational Medical Research - methods Haomin Li oth Huilong Duan oth Yinhong Zhao oth Enthalten in Computers in biology and medicine New York, NY [u.a.] : Pergamon Press, 1970 60(2015), Seite 40-50 (DE-627)129312789 (DE-600)127557-4 (DE-576)014525828 0010-4825 nnns volume:60 year:2015 pages:40-50 http://dx.doi.org/10.1016/j.compbiomed.2015.02.013 Volltext http://www.ncbi.nlm.nih.gov/pubmed/25754360 http://search.proquest.com/docview/1672295064 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 44.00 AVZ 42.00 AVZ AR 60 2015 40-50 |
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Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: Copyright © 2015 Elsevier Ltd. 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Yinsheng Zhang ddc 610 bkl 44.00 bkl 42.00 misc Knowledge acquisition misc Medical research misc Decision support systems misc Studies misc Clinical decision support misc Clinical medicine misc Knowledge representation misc Infrastructure misc Decision making misc Knowledge management misc Context-aware knowledge retrieval misc Natural language processing misc Drug use misc Ontology misc Inference engine misc Knowledge translation misc Physicians misc Medical Informatics - methods misc Translational Medical Research - methods Mobilizing clinical decision support to facilitate knowledge translation: A case study in China |
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610 570 DNB 44.00 bkl 42.00 bkl Mobilizing clinical decision support to facilitate knowledge translation: A case study in China Knowledge acquisition Medical research Decision support systems Studies Clinical decision support Clinical medicine Knowledge representation Infrastructure Decision making Knowledge management Context-aware knowledge retrieval Natural language processing Drug use Ontology Inference engine Knowledge translation Physicians Medical Informatics - methods Translational Medical Research - methods |
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ddc 610 bkl 44.00 bkl 42.00 misc Knowledge acquisition misc Medical research misc Decision support systems misc Studies misc Clinical decision support misc Clinical medicine misc Knowledge representation misc Infrastructure misc Decision making misc Knowledge management misc Context-aware knowledge retrieval misc Natural language processing misc Drug use misc Ontology misc Inference engine misc Knowledge translation misc Physicians misc Medical Informatics - methods misc Translational Medical Research - methods |
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mobilizing clinical decision support to facilitate knowledge translation: a case study in china |
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Mobilizing clinical decision support to facilitate knowledge translation: A case study in China |
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Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. |
| abstractGer |
Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. |
| abstract_unstemmed |
Background A wide gulf remains between knowledge and clinical practice. Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. Finally, a batch of fundamental services, such as data acquisition and inference engine, are designed to actuate the acquired knowledge content. These services can be used as building blocks for various evidence-based decision support applications. Results Based on the above method, a computer-aided knowledge translation platform was constructed as a CDS infrastructure. Based on this platform, typical CDS applications were developed. A case study of drug use check demonstrates that the CDS intervention delivered by the platform has produced observable behavior changes (89.7% of alerted medical orders were revised by physicians). Discussion Computer-aided knowledge translation via a CDS infrastructure can be effective in facilitating knowledge translation in clinical settings. |
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Mobilizing clinical decision support to facilitate knowledge translation: A case study in China |
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http://dx.doi.org/10.1016/j.compbiomed.2015.02.013 http://www.ncbi.nlm.nih.gov/pubmed/25754360 http://search.proquest.com/docview/1672295064 |
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Clinical decision support has been demonstrated to be an effective knowledge tool that healthcare organizations can employ to deliver the "right knowledge to the right people in the right form at the right time". How to adopt various clinical decision support (CDS) systems efficiently to facilitate evidence-based practice is one challenge faced by knowledge translation research. Method A computer-aided knowledge translation method that mobilizes evidence-based decision supports is proposed. The foundation of the method is a knowledge representation model that is able to cover, coordinate and synergize various types of medical knowledge to achieve centralized and effective knowledge management. Next, web-based knowledge-authoring and natural language processing based knowledge acquisition tools are designed to accelerate the transformation of the latest clinical evidence into computerized knowledge content. 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