2 research outputs found
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Critical Success Factors for Adopting Telemedicine Applications
The use of IT within healthcare is increasing, but at a slow rate. In complex projects like the implementation of a telemedicine application within the context of physiotherapy processes where both practitioners and patients use the application, it is still unclear what factors should be taken into consideration for a successful adoption. Therefore, the research question for this study is: ‘what are the critical success factors for adopting a telemedicine application for primary physiotherapists and their patients within the Netherlands?’ A literature study is performed followed by a thematic analysis to determine the factors that are relevant for adoption of a telemedicine application. To validate these factors, two validation sessions with four experts on innovative business models for e-health applications were organised. Furthermore, child physiotherapists and parents of children under the age of five have ranked the success factors via a survey to establish which factors are critical. The results show that factors considering Security, Cross Platform and User Friendliness are the critical success factors for adopting a telemedicine application by Dutch primary physiotherapists and their clients
Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco
Soil erosion is an increasingly issue worldwide, due to several factors including climate variations and humans’ activities, especially in Mediterranean ecosystems. Therefore, the aim of this paper is: (i) to quantify and to predict soil erosion rate for the baseline period (2000–2013) and a future period (2014–2027), using the Revised Universal Soil Loss Equation (RUSLE) and the Soil and Water Assessment Tool (SWAT) model in the R’Dom watershed in Morocco, based on the opportunities of Remote Sensing (RS) techniques and Geographical Information System (GIS) geospatial tools. (ii) we based on classical statistical downscaling model (SDSM) for rainfall prediction. Due to the lack of field data, the model results are validated by expert knowledge. As a result of this study, it is found that both agricultural lands and bare lands are most affected by soil erosion. Moreover, it is showed that soil erosion in the watershed was dominated by very low and low erosion. Although the area of very low erosion and low erosion continued to decrease. Hence, we hereby envisage that our contribution will provide a more complete understanding of the soil degradation in this study area and the results of this research could be a crucial reference in soil erosion studies and also may serve as a valuable guidance for watershed management strategies