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Physician Knowledge Base: Clinical Decision Support Systems
With the introduction of electronic medical records (EMRs), it has become possible to accumulate massive amounts of qualitative medical data. As such, EMRs have become increasingly used in clinical decision support systems (CDSSs). While CDSSs aim to reduce medical errors normally occurring in the p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688369/ https://www.ncbi.nlm.nih.gov/pubmed/34913279 http://dx.doi.org/10.3349/ymj.2022.63.1.8 |
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author | Kim, Sira Kim, Eung-Hee Kim, Hun-Sung |
author_facet | Kim, Sira Kim, Eung-Hee Kim, Hun-Sung |
author_sort | Kim, Sira |
collection | PubMed |
description | With the introduction of electronic medical records (EMRs), it has become possible to accumulate massive amounts of qualitative medical data. As such, EMRs have become increasingly used in clinical decision support systems (CDSSs). While CDSSs aim to reduce medical errors normally occurring in the process of treating patients by physicians, technical maturity and the completeness of CDSSs do not meet standards for medical use yet. As data further accumulates, CDSS algorithms must be continuously updated to allow CDSSs to perform their core functions. Doing so, however, requires extensive time and manpower investments. In current practice, computational systems already perform a wide variety of functions in medical settings to allow medical staff to focus on other tasks. However, no prior research has evaluated the potential effectiveness of future CDSSs nor analyzed possibilities for their further development. In this article, we evaluate CDSS technology with the consideration that medical staff also understand the core functions of such systems. |
format | Online Article Text |
id | pubmed-8688369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Yonsei University College of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-86883692022-01-05 Physician Knowledge Base: Clinical Decision Support Systems Kim, Sira Kim, Eung-Hee Kim, Hun-Sung Yonsei Med J Review Article With the introduction of electronic medical records (EMRs), it has become possible to accumulate massive amounts of qualitative medical data. As such, EMRs have become increasingly used in clinical decision support systems (CDSSs). While CDSSs aim to reduce medical errors normally occurring in the process of treating patients by physicians, technical maturity and the completeness of CDSSs do not meet standards for medical use yet. As data further accumulates, CDSS algorithms must be continuously updated to allow CDSSs to perform their core functions. Doing so, however, requires extensive time and manpower investments. In current practice, computational systems already perform a wide variety of functions in medical settings to allow medical staff to focus on other tasks. However, no prior research has evaluated the potential effectiveness of future CDSSs nor analyzed possibilities for their further development. In this article, we evaluate CDSS technology with the consideration that medical staff also understand the core functions of such systems. Yonsei University College of Medicine 2022-01 2021-12-09 /pmc/articles/PMC8688369/ /pubmed/34913279 http://dx.doi.org/10.3349/ymj.2022.63.1.8 Text en © Copyright: Yonsei University College of Medicine 2022 https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Kim, Sira Kim, Eung-Hee Kim, Hun-Sung Physician Knowledge Base: Clinical Decision Support Systems |
title | Physician Knowledge Base: Clinical Decision Support Systems |
title_full | Physician Knowledge Base: Clinical Decision Support Systems |
title_fullStr | Physician Knowledge Base: Clinical Decision Support Systems |
title_full_unstemmed | Physician Knowledge Base: Clinical Decision Support Systems |
title_short | Physician Knowledge Base: Clinical Decision Support Systems |
title_sort | physician knowledge base: clinical decision support systems |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688369/ https://www.ncbi.nlm.nih.gov/pubmed/34913279 http://dx.doi.org/10.3349/ymj.2022.63.1.8 |
work_keys_str_mv | AT kimsira physicianknowledgebaseclinicaldecisionsupportsystems AT kimeunghee physicianknowledgebaseclinicaldecisionsupportsystems AT kimhunsung physicianknowledgebaseclinicaldecisionsupportsystems |