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Journal of the American Medical Informatics Association is a peer-reviewed journal published by Oxford University Press, covering Electronic Health Records Systems, Biomedical Text Mining and Ontologies, Machine Learning in Healthcare.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Journal of the American Medical Informatics Association, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — Journal of the American Medical Informatics Association has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Electronic Health Records Systems Biomedical Text Mining and Ontologies Machine Learning in Healthcare Mobile Health and mHealth Applications Artificial Intelligence in Healthcare and Education |
| ISSN | 1067-5027 |
| Citation impact (2-yr) | 10.6 |
| h-index | 236 |
| i10-index | 3,710 |
| Total citations | 312,263 |
| Article processing charge | $3,967 |
| Top institutions publishing here | Harvard University |
| Journal website | www.jamia.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We aim to build and evaluate an open-source natural language processing system for information extraction from electronic medical record clinical free-text. We describe and evaluate our system, the clinical Text Analysis and Knowledge Extraction System (cTAKES), released open-source at http://www.ohnlp.org. The cTAKES builds on existing open-source technologies-the Unstructured Information Management Architecture framework and OpenNLP natural…
OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. SCOPE: We describe the historical evolution of NLP, and summarize common…
Medical error reduction is an international issue, as is the implementation of patient care information systems (PCISs) as a potential means to achieving it. As researchers conducting separate studies in the United States, The Netherlands, and Australia, using similar qualitative methods to investigate implementing PCISs, the authors have encountered many instances in which PCIS applications…
The novel coronavirus disease-19 (COVID-19) pandemic has altered our economy, society, and healthcare system. While this crisis has presented the U.S. healthcare delivery system with unprecedented challenges, the pandemic has catalyzed rapid adoption of telehealth, or the entire spectrum of activities used to deliver care at a distance. Using examples reported by U.S. healthcare organizations,…
MetaMap is a widely available program providing access to the concepts in the unified medical language system (UMLS) Metathesaurus from biomedical text. This study reports on MetaMap's evolution over more than a decade, concentrating on those features arising out of the research needs of the biomedical informatics community both within and outside of the National…
