Open AccessMapping the Metrics of Radiology Technology Diffusion: A Case for Swazilandh
Author(s) -
Mitchel S. Danisa,
Lidion Sibanda
Publication year - 2018
Publication title -
international journal of engineering and management research
Language(s) - English
Resource type - Journals
eISSN - 2394-6962
pISSN - 2250-0758
DOI - 10.31033/ijemr.8.3.13
Subject(s) - diffusion , work (physics) , health technology , usability , health care , field (mathematics) , private sector , data collection , technology acceptance model , data science , computer science , business , marketing , medicine , engineering , statistics , economics , mathematics , economic growth , physics , thermodynamics , mechanical engineering , human–computer interaction , pure mathematics
In recent years Swaziland’s medical field has beengraced by computerised data collecting systems and theinstallation of computer work stations in most health carefacilities. This was in response to the invention of new andimproved imaging technologies in high income countries.Establishing the impact of this development requiresinvestigation of predictor variables such as perceived easeof use, perceived usefulness and the technology diffusionpattern as it varies from one country to another. In thiscomplex landscape, the objective of this study was toestablish how these predictor variables modelledtechnology diffusion in Swaziland. Data collection involvedboth passive and active data sources using questionnaires,interviews and observations in a complemental manner. An83% response rate was obtained from the study. Theresults revealed that technology diffusion in Swaziland wascurrently at its peak modelled mainly by the perceived easeof use and the perceived usefulness of the new technologies.The peak of the diffusion of technology was in the seconddecade of the 21st century with the most advancedtechnologies being in the private sector. A more extensivestudy to cover imaging centres excluded from this study isrecommended. An investigation into technology diffusionextending to interventional radiology practices, roleextension for radiographers and funding models maysupport improved technology diffusion mechanisms.