Ease of adoption of clinical natural language processing software: An evaluation of five systems-Reference-Cited by-同舟云学术

Ease of adoption of clinical natural language processing software: An evaluation of five systems

Published:2015-12 Issue: Volume:58 Page:S189-S196
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Zheng Kai,Vydiswaran V.G. Vinod,Liu Yang,Wang Yue,Stubbs Amber,Uzuner Özlem,Gururaj Anupama E.,Bayer Samuel,Aberdeen John,Rumshisky Anna,Pakhomov Serguei,Liu Hongfang,Xu Hua

Funder

National Institute of General Medical Sciences

U.S. National Library of Medicine

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference23 articles.

1. Comparability and reproducibility of biomedical data;Huang;Brief Bioinform.,2013

2. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions;Boonstra;BMC Health Serv Res.,2010

3. Launching HITECH;Blumenthal;N. Engl. J. Med.,2010

4. National Research Council. Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions. Washington, DC, USA: National Academies Press; 2009.

5. American Medical Informatics Association. Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA;Middleton;J. Am. Med. Inform. Assoc.,2013

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Additional Value From Free-Text Diagnoses in Electronic Health Records: Hybrid Dictionary and Machine Learning Classification Study;JMIR Medical Informatics;2024-01-17

2. Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records;BMC Medical Informatics and Decision Making;2023-09-18

3. Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review;International Journal of Medical Informatics;2023-09

4. Additional Value From Free-Text Diagnoses in Electronic Health Records: Hybrid Dictionary and Machine Learning Classification Study (Preprint);2023-05-15

5. A Comparison of Automated Named Entity Recognition Tools Applied to Clinical Text;2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS);2022-11-24