Literature DB >> 16621682

Championing telemedicine adoption and utilization in healthcare organizations in New Zealand.

Nabeel Al-Qirim1.   

Abstract

BACKGROUND/
OBJECTIVES: This research explored the adoption and the utilisation of telemedicine (TM) in two healthcare organizations (HCOs) in New Zealand (NZ). The research utilised the technological innovation theories, as a guiding theoretical framework, to develop a set of potential determinants which could assist in understanding the adoption and the depth of the TM phenomenon in the two HCOs. METHODOLOGY AND
RESULTS: Using case studies design, the findings across the two cases revealed that TM was adopted according to its cost-benefit analysis. Although this approach was found to be important in assessing the adoption of TM, not considering the importance of other factors, highlighted in this research, such as the compatibility and the trialability aspects of the TM technology had a detrimental impact on the success of TM in both cases.
CONCLUSION: This research stressed the need for the tight coupling between the roles of both the administrative and the clinical managers in HCOs in order to champion TM adoption and diffusion and to overcome many of the barriers that could hinder telemedicine success in HCOs in NZ. The research points to other implications with respect to the literature and highlights further research in this important area.

Entities:  

Mesh:

Year:  2006        PMID: 16621682     DOI: 10.1016/j.ijmedinf.2006.02.001

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


  11 in total

1.  Understanding the need of health care providers for teleconsultation and technological attributes in relation to the acceptance of teleconsultation in Malaysia: a mixed methods study.

Authors:  Nurazean Maarop; Khin Than Win
Journal:  J Med Syst       Date:  2011-08-09       Impact factor: 4.460

2.  Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective.

Authors:  Suhaiza Zailani; Mina Sayyah Gilani; Davoud Nikbin; Mohammad Iranmanesh
Journal:  J Med Syst       Date:  2014-07-20       Impact factor: 4.460

3.  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

4.  The Current Status of Telehealth and Distance Learning in Palau.

Authors:  Tyler Thorne; Maiya Smith; Gregory Dever
Journal:  Hawaii J Health Soc Welf       Date:  2022-04

5.  Innovation Network Development Model in Telemedicine: A Change in Participation.

Authors:  Maryam Goodarzi; Mashallah Torabi; Reza Safdari; Hossein Dargahi; Sara Naeimi
Journal:  Healthc Inform Res       Date:  2015-10-31

Review 6.  What is the extent of research on the characteristics, behaviors, and impacts of health information technology champions? A scoping review.

Authors:  Christopher Michael Shea; Charles M Belden
Journal:  BMC Med Inform Decis Mak       Date:  2016-01-12       Impact factor: 2.796

7.  A study of urgent and emergency referrals from NHS Direct within England.

Authors:  E J Cook; G Randhawa; A Guppy; S Large
Journal:  BMJ Open       Date:  2015-05-11       Impact factor: 2.692

8.  The individual and contextual determinants of the use of telemedicine: A descriptive study of the perceptions of Senegal's physicians and telemedicine projects managers.

Authors:  Birama Apho Ly; Ronald Labonté; Ivy Lynn Bourgeault; Mbayang Ndiaye Niang
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

9.  Clinical Telemedicine Utilization in Ontario over the Ontario Telemedicine Network.

Authors:  Laurel D O'Gorman; John C Hogenbirk; Wayne Warry
Journal:  Telemed J E Health       Date:  2015-11-06       Impact factor: 3.536

10.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

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