Literature DB >> 8183655

Nurse-computer interaction: staff performance outcomes.

N Staggers1, M E Mills.   

Abstract

The purpose of this study was to examine the relationship of nurses' cognitive and demographic characteristics to their information retrieval speed, accuracy, and subjective screen satisfaction during on-line interactions with three different computer screens. One hundred ten randomly selected female clinical nurses interacted with computer screens of varying information densities. Age, spatial memory, and spatial visualization were significant predictors for nurses' practiced and overall performance speeds. Age was an important variable across screens; the cognitive variables, however, differed according to screen types. Age was a predictor of nurses' practiced accuracy, while both age and spatial visualization predicted overall accuracy scores. Perceptual speed was not a significant predictor in any equations, and none of the nurse characteristics predicted subjective screen satisfaction.

Mesh:

Year:  1994        PMID: 8183655

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  8 in total

1.  Factors associated with successful answering of clinical questions using an information retrieval system.

Authors:  W R Hersh; M K Crabtree; D H Hickam; L Sacherek; L Rose; C P Friedman
Journal:  Bull Med Libr Assoc       Date:  2000-10

2.  Factors associated with success in searching MEDLINE and applying evidence to answer clinical questions.

Authors:  William R Hersh; M Katherine Crabtree; David H Hickam; Lynetta Sacherek; Charles P Friedman; Patricia Tidmarsh; Craig Mosbaek; Dale Kraemer
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

3.  Usability testing of digital pen and paper system in nursing documentation.

Authors:  Po-Yin Yen; Paul Gorman
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Comprehensive breast cancer adjuvant digital summary.

Authors:  Jacqueline Ming Liu; Hsiao Wei Wu; Chui Mei Tiu; Ling Ming Tseng; Sang Hue Yen; Cheng Ying Shiau; Chieh Lan; Anna Fen Yau Li
Journal:  J Digit Imaging       Date:  2006-09       Impact factor: 4.056

5.  Integration of computer-assembled digital images and text data as evidence for the oncological record.

Authors:  J M Liu; H W Wu; W S Chen; W C Lin; Y Chao; W Y Lui; J Whang-Peng
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

Review 6.  A systematic review of the designs of clinical technology: findings and recommendations for future research.

Authors:  Greg Alexander; Nancy Staggers
Journal:  ANS Adv Nurs Sci       Date:  2009 Jul-Sep       Impact factor: 1.824

7.  The clinician in the Driver's Seat: part 1 - a drag/drop user-composable electronic health record platform.

Authors:  Yalini Senathirajah; Suzanne Bakken; David Kaufman
Journal:  J Biomed Inform       Date:  2014-09-18       Impact factor: 6.317

8.  User-composable Electronic Health Record Improves Efficiency of Clinician Data Viewing for Patient Case Appraisal: A Mixed-Methods Study.

Authors:  Yalini Senathirajah; David Kaufman; Suzanne Bakken
Journal:  EGEMS (Wash DC)       Date:  2016-05-02
  8 in total

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