scispace - formally typeset
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
More filters
Proceedings Article

The contribution of observational studies and clinical context information for guiding the integration of infobuttons into clinical information systems.

TL;DR: Knowledge of observed information needs and of context attributes is useful for guiding automated selection of resource links by an Infobutton Manager.
Journal ArticleDOI

Returning integrated genomic risk and clinical recommendations: the eMERGE study.

Jodell E Linder, +105 more
- 01 Jan 2023 - 
TL;DR: The eMERGE (electronic MEdical Records and GEnomics) network is enrolling 25,000 diverse individuals in a prospective cohort study across 10 sites and developed methods to return cross-ancestry polygenic risk scores, monogenic risks, family history, and clinical risk assessments via a genome-informed risk assessment (GIRA) report and will assess uptake of care recommendations after return of results as mentioned in this paper .
Proceedings Article

Using narrative reports to support a digital library.

TL;DR: The hypothesis is that clinical data that occur often in narrative reports are less important to clinicians than findings that occur rarely, which shows that information retrieval measures with natural language processor output can be used for filtering critical information from reports.

Toward a cognitive task analysis for biomedical query mediation.

TL;DR: This study performs the initial steps of a cognitive task analysis using 31 BQM instances conducted between one analyst and 22 researchers in one academic department to contribute initial knowledge towards the development of a generalizable cognitive task representation for BZM.