Literature DB >> 12463806

Test of the technology acceptance model for the internet in pediatrics.

William G Chismar1, Sonja Wiley-Patton.   

Abstract

There is growing recognition of the importance of the Internet and, more generally, information technology to pediatric care. However, acceptance of these technologies has been low. Attitudes of physicians can play a pivotal role in the adoption session. This study tests the extension to a widely used model in the information systems literature: the Technology Acceptance Model (TAM). Data were collected in a survey of pediatricians to see how well the extended model, TAM2, fits in the medical arena. Our results partially confirm the model; significant parts of the model were not confirmed. The primary factors in pediatricians' acceptance of technology applications relate to their usefulness and job relevance. Little weight is given to ease of use and social factors. We discuss possible explanations for the discrepancies and suggest future research.

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Mesh:

Year:  2002        PMID: 12463806      PMCID: PMC2244480     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  1 in total

1.  Information technology for children's health and health care: report on the Information Technology in Children's Health Care Expert Meeting, September 21-22, 2000.

Authors:  R N Shiffman; S A Spooner; K Kwiatkowski; P F Brennan
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

  1 in total
  22 in total

1.  Organisational culture matters for system integration in health care.

Authors:  Samina K Munir; Stephen Kay
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Medication safety and knowledge-based functions: a stepwise approach against information overload.

Authors:  Andrius Patapovas; Harald Dormann; Brita Sedlmayr; Melanie Kirchner; Anja Sonst; Fabian Müller; Barbara Pfistermeister; Bettina Plank-Kiegele; Renate Vogler; Renke Maas; Manfred Criegee-Rieck; Hans-Ulrich Prokosch; Thomas Bürkle
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

3.  Evaluation of a flowchart-based EHR query system: a case study of RetroGuide.

Authors:  Vojtech Huser; Scott P Narus; Roberto A Rocha
Journal:  J Biomed Inform       Date:  2009-06-26       Impact factor: 6.317

4.  Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users.

Authors:  Jaebeom Lee; Mi Jung Rho
Journal:  Healthc Inform Res       Date:  2013-09-30

5.  External factors in hospital information system (HIS) adoption model: a case on Malaysia.

Authors:  Heng Wei Lee; Thurasamy Ramayah; Nasriah Zakaria
Journal:  J Med Syst       Date:  2011-03-08       Impact factor: 4.460

6.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

7.  Social networks and physician adoption of electronic health records: insights from an empirical study.

Authors:  Kai Zheng; Rema Padman; David Krackhardt; Michael P Johnson; Herbert S Diamond
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

8.  Comparison of two user interfaces for accessing context-specific information resources related to hazards and near misses.

Authors:  Po-Yin Yen; Haomiao Jia; Leanne M Currie; Suzanne Bakken
Journal:  Comput Inform Nurs       Date:  2009 Mar-Apr       Impact factor: 1.985

Review 9.  A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review.

Authors:  Víctor H Castillo; Ana I Martínez-García; J R G Pulido
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-15       Impact factor: 2.796

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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