Literature DB >> 9611866

Perceived ease of use and usefulness of bedside-computer systems.

T W Dillon1, D McDowell, F Salimian, D Conklin.   

Abstract

Many new technologies are being developed to improve the efficiency and productivity of nursing staff. A key to the success of these technologies is acceptance by nurses. Davis' constructs of perceived ease of use and perceived usefulness were developed to measure the acceptance of computer systems. This article presents a discussion on nursing acceptance of computer systems, reviews the development of the perceived ease of use and perceived usefulness measures, and reports findings of a study based on these constructs along with attitude of bedside-computer systems. Results of the study showed that nurses in general are accepting of bedside-computer technology.

Mesh:

Year:  1998        PMID: 9611866

Source DB:  PubMed          Journal:  Comput Nurs        ISSN: 0736-8593


  14 in total

1.  Comparing user acceptance of a computer system in two pediatric offices: a qualitative study.

Authors:  D A Travers; S M Downs
Journal:  Proc AMIA Symp       Date:  2000

2.  Evaluation of clinician response to wireless technology.

Authors:  C A Seckman; C A Romano; S Marden
Journal:  Proc AMIA Symp       Date:  2001

3.  Development and comparison of user acceptance of advanced comprehensive triage PDA support system with a traditional terminal alternative system.

Authors:  Polun Chang; Yuann-Meei Tzeng; Shiao-Chi Wu; Ying-Yang Sang; Shih-Shin Chen
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Factors affecting and affected by user acceptance of computer-based nursing documentation: results of a two-year study.

Authors:  Elske Ammenwerth; Ulrich Mansmann; Carola Iller; Ronald Eichstädter
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

5.  Reasons for declining computerized insulin protocol recommendations: application of a framework.

Authors:  K Sward; J Orme; D Sorenson; L Baumann; A H Morris
Journal:  J Biomed Inform       Date:  2008-04-11       Impact factor: 6.317

6.  Perceptions of factors influencing use of an electronic record for case management of persons living with HIV.

Authors:  Rebecca Schnall; Peter Gordon; Eli Camhi; Suzanne Bakken
Journal:  AIDS Care       Date:  2011-03

7.  Nurses' acceptance of Smart IV pump technology.

Authors:  Pascale Carayon; Ann Schoofs Hundt; Tosha B Wetterneck
Journal:  Int J Med Inform       Date:  2010-03-12       Impact factor: 4.046

8.  Testing the Technology Acceptance Model: HIV case managers' intention to use a continuity of care record with context-specific links.

Authors:  Rebecca Schnall; Suzanne Bakken
Journal:  Inform Health Soc Care       Date:  2011-09       Impact factor: 2.439

9.  mHealth self-care interventions: managing symptoms following breast cancer treatment.

Authors:  Mei R Fu; Deborah Axelrod; Amber A Guth; Kavita Rampertaap; Nardin El-Shammaa; Karen Hiotis; Joan Scagliola; Gary Yu; Yao Wang
Journal:  Mhealth       Date:  2016-07-22

Review 10.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317

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