Exploring the full potential of the electronic health record: the application of natural language processing for clinical practice

被引：3
作者：
Van Bulck, Liesbet [1 ]
Turchioe, Meghan Reading [2 ]
Topaz, Maxim [2 ]
Song, Jiyoun [3 ]
机构：
[1] Univ Leuven, KU Leuven, Dept Publ Hlth & Primary Care, Kapucijnenvoer 7 PB7001, B-3000 Leuven, Belgium
[2] Columbia Univ, Sch Nursing, 560 West 168th St, New York, NY 10032 USA
[3] Univ Penn, Dept Biobehav Hlth Sci, Sch Nursing, 418 Curie Blvd, Philadelphia, PA 19104 USA
来源：
EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING | 2024年 / 24卷 / 02期
关键词：
Artificial intelligence; Clinical practice; Natural language processing;
D O I：
10.1093/eurjcn/zvae091
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
The electronic health record (EHR) contains valuable patient data and offers opportunities to administer and analyse patients' individual needs longitudinally. However, most information in the EHR is currently stored in unstructured text notations. Natural language processing (NLP), a branch of artificial intelligence that enables computers to understand, interpret, and generate human language, can be used to delve into unstructured text data to uncover valuable insights and knowledge. This article discusses different types of NLP, the potential of NLP for cardiovascular nursing, and how to get started with NLP as a clinician.
引用
收藏
页码：332 / 337
页数：6
相关论文
共 24 条
[1]   A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare [J].
Ahmed, Molla Imaduddin ;
Spooner, Brendan ;
Isherwood, John ;
Lane, Mark ;
Orrock, Emma ;
Dennison, Ashley .
CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (10)
[2]  
CARENINI G, 1994, J AM MED INFORM ASSN, P5
[3]   Development of a keyword library for capturing PRO-CTCAE-focused "symptom talk" in oncology conversations [J].
Durieux, Brigitte N. ;
Zverev, Samuel R. ;
Tarbi, Elise C. ;
Kwok, Anne ;
Sciacca, Kate ;
Pollak, Kathryn, I ;
Tulsky, James A. ;
Lindvall, Charlotta .
JAMIA OPEN, 2023, 6 (01)
[4]   Opportunities for computational tools in palliative care: Supporting patient needs and lowering burden [J].
Durieux, Brigitte N. ;
Tarbi, Elise C. ;
Lindvall, Charlotta .
PALLIATIVE MEDICINE, 2022, 36 (08) :1168-1170
[5]   From hype to reality: data science enabling personalized medicine [J].
Froehlich, Holger ;
Balling, Rudi ;
Beerenwinkel, Niko ;
Kohlbacher, Oliver ;
Kumar, Santosh ;
Lengauer, Thomas ;
Maathuis, Marloes H. ;
Moreau, Yves ;
Murphy, Susan A. ;
Przytycka, Teresa M. ;
Rebhan, Michael ;
Rost, Hannes ;
Schuppert, Andreas ;
Schwab, Matthias ;
Spang, Rainer ;
Stekhoven, Daniel ;
Sun, Jimeng ;
Weber, Andreas ;
Ziemek, Daniel ;
Zupan, Blaz .
BMC MEDICINE, 2018, 16
[6]   Characterising symptom clusters in patients with atrial fibrillation undergoing catheter ablation [J].
Hobensack, Mollie ;
Zhao, Yihong ;
Scharp, Danielle ;
Volodarskiy, Alexander ;
Slotwiner, David ;
Turchioe, Meghan Reading .
OPEN HEART, 2023, 10 (02)
[7]   The Utility of Nursing Notes Among Medicare Patients With Heart Failure to Predict 30-Day Rehospitalization A Pilot Study [J].
Kang, Youjeong ;
Topaz, Maxim ;
Dunbar, Sandra B. ;
Stehlik, Josef ;
Hurdle, John .
JOURNAL OF CARDIOVASCULAR NURSING, 2022, 37 (06) :E181-E186
[8]   Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review [J].
Koleck, Theresa A. ;
Dreisbach, Caitlin ;
Bourne, Philip E. ;
Bakken, Suzanne .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (04) :364-379
[9]   Natural Language Processing of Nursing Notes An Integrative Review [J].
Mitha, Shazia ;
Schwartz, Jessica ;
Hobensack, Mollie ;
Cato, Kenrick ;
Woo, Kyungmi ;
Smaldone, Arlene ;
Topaz, Maxim .
CIN-COMPUTERS INFORMATICS NURSING, 2023, 41 (06) :377-384
[10]   Using ChatGPT and Google Bard to improve the readability of written patient information: a proof of concept [J].
Moons, Philip ;
Van Buick, Liesbet .
EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING, 2024, 23 (02) :122-126
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