J
James J. Cimino
Researcher at University of Alabama at Birmingham
Publications - 390
Citations - 14092
James J. Cimino is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Unified Medical Language System & Information needs. The author has an hindex of 58, co-authored 367 publications receiving 12899 citations. Previous affiliations of James J. Cimino include Duke University & Rutgers University.
Papers
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Journal ArticleDOI
Terminology model discovery using natural language processing and visualization techniques
Li Zhou,Ying Tao,James J. Cimino,Elizabeth S. Chen,Hongfang Liu,Yves A. Lussier,George Hripcsak,Carol Friedman +7 more
TL;DR: An automated method for developing medical terminology models based on natural language processing (NLP) and information visualization techniques and the use of a general NLP processor for the medical domain, MedLEE, is presented.
Journal ArticleDOI
User-centered design of multi-gene sequencing panel reports for clinicians
Elizabeth M. Cutting,Meghan Banchero,Amber L. Beitelshees,James J. Cimino,Guilherme Del Fiol,Ayse P. Gurses,Mark A. Hoffman,Linda J. B. Jeng,Kensaku Kawamoto,Mark D. Kelemen,Harold Alan Pincus,Alan R. Shuldiner,Marc S. Williams,Toni I. Pollin,Casey Lynnette Overby +14 more
TL;DR: A user-centered software design approach in a focus group setting is employed in order to facilitate gathering rich contextual information from a diverse group of stakeholders potentially impacted by the delivery of GS reports relevant to two precision medicine programs at the University of Maryland Medical Center.
Proceedings Article
Using Logical Observation Identifier Names and Codes (LOINC) to exchange laboratory data among three academic hospitals.
TL;DR: The Logical Observation Identifier Names and Codes database has tremendous potential to eliminate the needing for detailed human inspection during the pooling of laboratory data from diverse sites, and perhaps even a built-in capability to adjust matching stringency by selecting subsets of LOINC fields required to match.
Proceedings Article
Integrating existing drug formulation terminologies into an HL7 standard classification using OpenGALEN.
TL;DR: An ontological approach, based on techniques developed by OpenGALEN, has been used to build a drug form terminology for HL7 version 3.7, which integrates existing terminologies from commercial drug information vendors and regulatory authorities, and provides a framework for translating between them.