Literature DB >> 10659940

The behavioral side of information technology.

D R Dixon1.   

Abstract

Exposure to technologies is becoming more prevalent in healthcare technologies. Few strategies have been developed that work reliably to successfully implement information technologies. Information technology enables, but does not guarantee organizational change. A theoretical model has been developed identifying several areas that have been found important in information technology implementation. The information technology adoption model is described, and provides a framework for implementors of information technologies. It provides a structure to categorize areas that may benefit from the development of implementation strategies and the development of evaluation techniques. Implementation and evaluation strategies are discussed as they pertain to end-user fit, user perceptions of innovation usefulness and ease of use, and adoption and utilization.

Mesh:

Year:  1999        PMID: 10659940     DOI: 10.1016/s1386-5056(99)00037-4

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  15 in total

1.  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

2.  Informatics technology mimics ecology: dense, mutualistic collaboration networks are associated with higher publication rates.

Authors:  Marco D Sorani
Journal:  PLoS One       Date:  2012-01-18       Impact factor: 3.240

3.  Are health centers in Thailand ready for health information technology? : a national survey.

Authors:  Boonchai Kijsanayotin; Stuart Speedie
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  Contextual implementation model: a framework for assisting clinical information system implementations.

Authors:  Joanne L Callen; Jeffrey Braithwaite; Johanna I Westbrook
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

5.  The role of patients in designing health information systems: the case of applying simulation techniques to design an electronic patient record (EPR) interface.

Authors:  Kevin J Leonard
Journal:  Health Care Manag Sci       Date:  2004-11

6.  An intervention fidelity framework for technology-based behavioral interventions.

Authors:  Annette Devito Dabbs; Mi-Kyung Song; Robert Hawkins; Jill Aubrecht; Karen Kovach; Lauren Terhorst; Mary Connolly; Mary McNulty; Judith Callan
Journal:  Nurs Res       Date:  2011 Sep-Oct       Impact factor: 2.381

7.  Determining patient preferences for remote monitoring.

Authors:  Nuri Basoglu; Tugrul U Daim; Umit Topacan
Journal:  J Med Syst       Date:  2010-10-13       Impact factor: 4.460

8.  Employing the FITT framework to explore HIV case managers' perceptions of two electronic clinical data (ECD) summary systems.

Authors:  Rebecca Schnall; Ann B Smith; Manik Sikka; Peter Gordon; Eli Camhi; Timothy Kanter; Suzanne Bakken
Journal:  Int J Med Inform       Date:  2012-07-28       Impact factor: 4.046

Review 9.  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

10.  Prescriber and staff perceptions of an electronic prescribing system in primary care: a qualitative assessment.

Authors:  Emily Beth Devine; Emily C Williams; Diane P Martin; Dean F Sittig; Peter Tarczy-Hornoch; Thomas H Payne; Sean D Sullivan
Journal:  BMC Med Inform Decis Mak       Date:  2010-11-19       Impact factor: 2.796

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