Teledermatology: The Case of Telemedicine Adoption and Success in New Zealand

Using a theoretical framework extracted from thetechnological innovation theories, this research attempts to explain factors influencing the adoption and diffusion of telemedicine utilising the video conferencing technology (TMVC) for dermatology within health Waikato (HW) in New Zealand. Findings indicate weak presence of critical assessment into technological innovation factors prior to TMVC adoption. Factors such as complexity, compatibility, and trialability were not assessed extensively by HW and could have hindered its adoption. TMVC was mainly assessed according to its relative advantage and cost effectiveness. This is essential but should consider other important factors explained in this research. The successful diffusion of TMVC in the case study relied on its economical benefit and on its effectiveness as a diagnostic tool. This research highlights the importance of the product champion factor on the successful adoption and diffusion of TMVC.

[1]  M Rademaker,et al.  Patient cost-benefits of realtime teledermatology-a comparison of data from Northern Ireland and New Zealand , 2000, Journal of telemedicine and telecare.

[2]  Nasir Awill.  Information Systems Innovation and Diffusion: Issues and Directions , 1999 .

[3]  G. Premkumar,et al.  Adoption of new information technologies in rural small businesses , 1999 .

[4]  James Y. L. Thong,et al.  An Integrated Model of Information Systems Adoption in Small Businesses , 1999, J. Manag. Inf. Syst..

[5]  A M Oakley,et al.  Practising dermatology via telemedicine. , 1998, The New Zealand medical journal.

[6]  Tor J. Larsen,et al.  Information systems innovation: a framework for research and practice , 1998 .

[7]  B Grigsby,et al.  4th annual telemedicine program review. Part 2: United States. , 1997, Telemedicine today.

[8]  James G. Anderson,et al.  Clearing the way for physicians' use of clinical information systems , 1997, CACM.

[9]  Kar Yan Tam,et al.  Factors Affecting the Adoption of Open Systems: An Exploratory Study , 1997, MIS Q..

[10]  M Rademaker,et al.  Diagnostic accuracy of teledermatology: results of a preliminary study in New Zealand. , 1997, The New Zealand medical journal.

[11]  A. Hassol.  Surprises from the rural telemedicine survey. , 1996, Telemedicine today.

[12]  A. Oakley,et al.  Melanoma-diagnosis by telemedicine , 1996, Journal of telemedicine and telecare.

[13]  Izak Benbasat,et al.  Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users , 1996 .

[14]  S. Elliot,et al.  Adoption and Implementation of IT: An Evaluation of the Applicability of Western Strategic Models to Chinese Firms , 1996 .

[15]  J. Thong,et al.  CEO characteristics, organizational characteristics and information technology adoption in small businesses , 1995 .

[16]  Geoff Walsham,et al.  Interpretive case studies in IS research: nature and method , 1995 .

[17]  C J Austin,et al.  Information systems and strategic management , 1995, Health care management review.

[18]  C. James Bacon,et al.  The Use of Decision Criteria in Selecting Information Systems/Technology Investments , 1992, MIS Q..

[19]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[20]  W. J. Harvey,et al.  Information Systems for Health Services Administration , 1988 .

[21]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[22]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.