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 challenges implementing the HL7 context-aware knowledge retrieval ('Infobutton') standard.
TL;DR: Some of the challenges faced by knowledge resources in trying to locate the most relevant content based on the attribute values for a given Infobutton request are described.
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Clinical Knowledge and Practice in the Information Age: A Handbook for Health Professionals
TL;DR: This slim little book seemed to be a shortcut for every practitioner who wanted to access information speedily and accurately without going down endless blind alleys during a library and/or internet search.
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A comparison of clinicians' access to online knowledge resources using two types of information retrieval applications in an academic hospital setting
TL;DR: The information-seeking behavior of clinicians may vary in relation to their role and the way in which the information is presented, and Studying these behaviors can provide valuable insights to those tasked with maintaining information retrieval systems' links to appropriate online knowledge resources.
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Saying what you mean and meaning what you say: coupling biomedical terminology and knowledge.
TL;DR: In this article, the authors propose a method to solve the problem of homonymity of homophily in the context of homomorphic data, and no abstracts are available.
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Clinicians' evaluation of computer-assisted medication summarization of electronic medical records
Xinxin Zhu,James J. Cimino +1 more
TL;DR: Clinicians' feedback indicated the feasibility of integrating such a medication summarization tool into clinical practice workflow as a complementary addition to existing electronic health record systems and potential to improve efficiency and reduce inaccuracy in clinician performance of medications summarization.