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 Article
Patterns of usage for a Web-based clinical information system.
TL;DR: This work has analyzed the log files of the Web-based clinical information system (WebCIS) to obtain various usage statistics including which WebCIS features are frequently being used and also identified usage patterns, which convey how the user is traversing the system.
Journal Article
Scenario-based assessment of physicians' information needs.
TL;DR: An analysis of clinical questions collected when physicians were engaged in reviewing clinical cases to provide insight into the development of a conceptual guidance approach in information retrieval showed that physicians' information needs exhibited distinct characteristics according to the scenarios, and that their needs could be expressed with a relatively small number of question patterns.
Journal ArticleDOI
Don't take your EHR to heaven, donate it to science: legal and research policies for EHR post mortem
Vojtech Huser,James J. Cimino +1 more
TL;DR: This perspective paper looks at legal and regulatory policies for EHR data post mortem, and proposes creation of a deceased subject integrated data repository (dsIDR) as an effective tool for piloting certain types of research projects.
Characterization of the Biomedical Query Mediation Process
Gregory W. Hruby,Mary Regina Boland,James J. Cimino,Junfeng Gao,Adam B. Wilcox,Julia Hirschberg,Chunhua Weng +6 more
TL;DR: It is concluded that research data query formulation is not a straightforward translation from researcher data needs to database queries, but rather iterative, process-oriented needs assessment and refinement.
Journal ArticleDOI
Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations
Tian Ge,Marguerite R. Irvin,Amit Patki,Vinodh Srinivasasainagendra,Yen-Feng Lin,Hemant K. Tiwari,N. Armstrong,Barbara Benoit,Chia-Yen Chen,Karmel W. Choi,James J. Cimino,Brittney H. Davis,Ozan Dikilitas,Bethany Etheridge,Yen-Chen Anne Feng,Vivian S. Gainer,Hailiang Huang,Gail P. Jarvik,C. Kachulis,Eimear E. Kenny,Atlas Khan,Krzysztof Kiryluk,Leah C. Kottyan,Iftikhar J. Kullo,Christoph Lange,Niall Lennon,Aaron Leong,Edyta Małolepsza,Ayme D. Miles,Shawn N. Murphy,Bahram Namjou,Renuka Narayan,Mark J O'Connor,Jennifer A. Pacheco,Emma F. Perez,Laura J. Rasmussen-Torvik,Elisabeth A. Rosenthal,D S Schaid,Marianna Stamou,Miriam S. Udler,Wei Wei,Scott T. Weiss,Maggie C.Y. Ng,Jordan W. Smoller,Matthew S. Lebo,James B. Meigs,Nita A. Limdi,Elizabeth W. Karlson +47 more
TL;DR: In this paper , a trans-ancestry polygenic risk score (PRS) was proposed for Type 2 diabetes (T2D) using a newly developed Bayesian polygenic modeling method.