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Articles 1 - 5 of 5
Full-Text Articles in Biomedical Informatics
Accuracy And Self Correction Of Information Received From An Internet Breast Cancer List: Content Analysis, Adol Esquivel, Funda Meric-Bernstam, Elmer V Bernstam
Accuracy And Self Correction Of Information Received From An Internet Breast Cancer List: Content Analysis, Adol Esquivel, Funda Meric-Bernstam, Elmer V Bernstam
Faculty, Staff and Student Publications
OBJECTIVES: To determine the prevalence of false or misleading statements in messages posted by internet cancer support groups and whether these statements were identified as false or misleading and corrected by other participants in subsequent postings. DESIGN: Analysis of content of postings. SETTING: Internet cancer support group Breast Cancer Mailing List. MAIN OUTCOME MEASURES: Number of false or misleading statements posted from 1 January to 23 April 2005 and whether these were identified and corrected by participants in subsequent postings. RESULTS: 10 of 4600 postings (0.22%) were found to be false or misleading. Of these, seven were identified as false …
Application Of Cognitive Engineering Principles To The Redesign Of A Dichotomous Identification Key For Parasitology, Kimberly A. Smith-Akins, Sharon Mclane, Thomas M. Craig, Todd R. Johnson
Application Of Cognitive Engineering Principles To The Redesign Of A Dichotomous Identification Key For Parasitology, Kimberly A. Smith-Akins, Sharon Mclane, Thomas M. Craig, Todd R. Johnson
Faculty, Staff and Student Publications
Dichotomous identification keys are used throughout biology for identification of plants, insects, and parasites. However, correct use of identification keys can be difficult as they are not usually intended for novice users who may not be familiar with the terminology used or with the morphology of the organism being identified. Therefore, we applied cognitive engineering principles to redesign a parasitology identification key for the Internet. We addressed issues of visual clutter and spatial distance by displaying a single question couplet at a time and by switching to the appropriate next couplet after the user made a choice. Our analysis of …
A Time-Motion Study Of Registered Nurses’ Workflow In Intensive Care Unit Remote Monitoring, Zhihua Tang, Janine Mazabob, Liza Weavind, Eric Thomas, Todd R. Johnson
A Time-Motion Study Of Registered Nurses’ Workflow In Intensive Care Unit Remote Monitoring, Zhihua Tang, Janine Mazabob, Liza Weavind, Eric Thomas, Todd R. Johnson
Faculty, Staff and Student Publications
Utilizing advanced information technology, Intensive Care Unit (ICU) remote monitoring allows highly trained specialists to oversee a large number of patients at multiple sites on a continuous basis. In the current research, we conducted a time-motion study of registered nurses’ work in an ICU remote monitoring facility. Data were collected on seven nurses through 40 hours of observation. The results showed that nurses’ essential tasks were centered on three themes: monitoring patients, maintaining patients’ health records, and managing technology use. In monitoring patients, nurses spent 52% of the time assimilating information embedded in a clinical information system and 15% on …
Using Citation Data To Improve Retrieval From Medline, Elmer V Bernstam, Jorge R Herskovic, Yindalon Aphinyanaphongs, Constantin F Aliferis, Madurai G Sriram, William R Hersh
Using Citation Data To Improve Retrieval From Medline, Elmer V Bernstam, Jorge R Herskovic, Yindalon Aphinyanaphongs, Constantin F Aliferis, Madurai G Sriram, William R Hersh
Faculty, Staff and Student Publications
OBJECTIVE: To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of important literature in surgical oncology. RESULTS Citation-based algorithms were more effective than noncitation-based algorithms at identifying important articles. …
Mapping Concepts In Medical Error Taxonomies, Min Zhu, Yong Huang, Yang Gong, Juliana J. Brixey, Jiajie Zhang, James P. Turley
Mapping Concepts In Medical Error Taxonomies, Min Zhu, Yong Huang, Yang Gong, Juliana J. Brixey, Jiajie Zhang, James P. Turley
Faculty, Staff and Student Publications
No abstract provided.