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Prospect of Artificial Intelligence Based on Electronic Medical Record
With the advent of the big data era, the interest of the international community is focusing on increasing the utilization of medical big data. Many hospitals are attempting to increase the efficiency of their operations and patient management by adopting artificial intelligence (AI) technology that...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Lipidology and Atherosclerosis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473961/ https://www.ncbi.nlm.nih.gov/pubmed/34621699 http://dx.doi.org/10.12997/jla.2021.10.3.282 |
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author | Lee, Suehyun Kim, Hun-Sung |
author_facet | Lee, Suehyun Kim, Hun-Sung |
author_sort | Lee, Suehyun |
collection | PubMed |
description | With the advent of the big data era, the interest of the international community is focusing on increasing the utilization of medical big data. Many hospitals are attempting to increase the efficiency of their operations and patient management by adopting artificial intelligence (AI) technology that enables the use of electronic medical record (EMR) data. EMR includes information about a patient's health history, such as diagnoses, medicines, tests, allergies, immunizations, treatment plans, personalized medical care, and improvement of medical quality and safety. EMR data can also be used for AI-based new drug development. In particular, it is effective to develop AI that can predict the occurrence of specific diseases or provide individualized customized treatments by classifying the individualized characteristics of patients. In order to improve performance of artificial intelligence research using EMR data, standardization and refinement of data are essential. In addition, since EMR data deal with sensitive personal information of patients, it is also vital to protect the patient's privacy. There are already various supports for the use of EMR data in the Korean government, and researchers are encouraged to be proactive. |
format | Online Article Text |
id | pubmed-8473961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Society of Lipidology and Atherosclerosis |
record_format | MEDLINE/PubMed |
spelling | pubmed-84739612021-10-06 Prospect of Artificial Intelligence Based on Electronic Medical Record Lee, Suehyun Kim, Hun-Sung J Lipid Atheroscler Review With the advent of the big data era, the interest of the international community is focusing on increasing the utilization of medical big data. Many hospitals are attempting to increase the efficiency of their operations and patient management by adopting artificial intelligence (AI) technology that enables the use of electronic medical record (EMR) data. EMR includes information about a patient's health history, such as diagnoses, medicines, tests, allergies, immunizations, treatment plans, personalized medical care, and improvement of medical quality and safety. EMR data can also be used for AI-based new drug development. In particular, it is effective to develop AI that can predict the occurrence of specific diseases or provide individualized customized treatments by classifying the individualized characteristics of patients. In order to improve performance of artificial intelligence research using EMR data, standardization and refinement of data are essential. In addition, since EMR data deal with sensitive personal information of patients, it is also vital to protect the patient's privacy. There are already various supports for the use of EMR data in the Korean government, and researchers are encouraged to be proactive. Korean Society of Lipidology and Atherosclerosis 2021-09 2021-07-13 /pmc/articles/PMC8473961/ /pubmed/34621699 http://dx.doi.org/10.12997/jla.2021.10.3.282 Text en Copyright © 2021 The Korean Society of Lipid and Atherosclerosis. 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 Lee, Suehyun Kim, Hun-Sung Prospect of Artificial Intelligence Based on Electronic Medical Record |
title | Prospect of Artificial Intelligence Based on Electronic Medical Record |
title_full | Prospect of Artificial Intelligence Based on Electronic Medical Record |
title_fullStr | Prospect of Artificial Intelligence Based on Electronic Medical Record |
title_full_unstemmed | Prospect of Artificial Intelligence Based on Electronic Medical Record |
title_short | Prospect of Artificial Intelligence Based on Electronic Medical Record |
title_sort | prospect of artificial intelligence based on electronic medical record |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473961/ https://www.ncbi.nlm.nih.gov/pubmed/34621699 http://dx.doi.org/10.12997/jla.2021.10.3.282 |
work_keys_str_mv | AT leesuehyun prospectofartificialintelligencebasedonelectronicmedicalrecord AT kimhunsung prospectofartificialintelligencebasedonelectronicmedicalrecord |