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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

Do electronic health record systems "dumb down" clinicians?

TL;DR: A panel sponsored by the American College of Medical Informatics at the 2021 AMIA Symposium addressed the provocative question: "Are Electronic Health Records dumbing down clinicians?"
Journal ArticleDOI

Intranet technology in hospital information systems.

TL;DR: The clinical information system architecture at the Columbia-Presbyterian Medical Center in New York is being incorporated into an intranet using Internet and World Wide Web protocols, resulting in an Enterprise-Wide Web which provides more flexibility for access to specific patient information and general medical knowledge.
Proceedings Article

Overcoming the Barriers of Web-Based Interventions for Elder Patients: Enabling Strategies for the MI HEART Clinical Trial.

TL;DR: The proposed methodology, based on an extensive analysis of relevant literature, provides a functional and integrated approach to a mosaic of accessibility and usability solutions in conjunction with the frequent barriers to the use of IT experienced by diseased elders.
Proceedings Article

Piloting a deceased subject integrated data repository and protecting privacy of relatives.

TL;DR: This report on creation of the decease subject Integrated Data Repository at National Institutes of Health, Clinical Center and a pilot methodology to remove secondary protected health information or identifiable information (secondary PxI) from dsIDR.
Journal ArticleDOI

A network-theoretic approach for decompositional translation across Open Biological Ontologies

TL;DR: A network-theoretic approach based on the structure of the integrated OBO relationship graph is proposed that indicates that the network structure provides strong cues for decompositional ontology translation and the existing relationships can be used to identify new translations.