6 results match your criteria: "University of Stellenbosch AND CSIR Next Generation Enterprises and Institutions[Affiliation]"
Comput Biol Med
September 2025
Department of Industrial Engineering, University of Stellenbosch AND CSIR Next Generation Enterprises and Institutions, South Africa.
Eval Program Plann
October 2025
Department of Industrial Engineering, University of Stellenbosch AND CSIR Next Generation Enterprises and Institutions, South Africa. Electronic address:
Healthcare funders and program planners are increasingly recognising that the value and impact of assistive digital health technologies (ADHT) on the traditional healthcare systems are not exclusively realised in their procurement or inhouse design and development phases. Instead, these benefits are more evident in their implementation, adoption, scaling and consistent use. However, predicting the potential for the adoption and use of future health technology such as ADHT remains a significantly challenging task.
View Article and Find Full Text PDFComput Biol Med
September 2025
Department of Industrial Engineering, University of Stellenbosch AND CSIR Next Generation Enterprises and Institutions, South Africa. Electronic address:
Objective: This study aimed to evaluate the quality, relevance and utility of a recently proposed Framework for developing adoptable and scalable Remote Patient Management Systems (FRPMS) through consensus-assessment among experts.
Method: A modified Delphi approach was used with 15 experts from diverse fields, including health promotion, behavior change, digital health technology design, implementation science, and digital health policymaking, in two rounds of evaluations. The study focused on assessing the FRPMS's principles, feasibility, and potential outcomes.
Heliyon
June 2023
Department of Industrial Engineering, University of Stellenbosch AND CSIR Next Generation Enterprises and Institutions, South Africa.
Objective: To enhance the predictive power of the Fit between Individuals, Task and Technology (FITT) framework in mobile, individual consumer settings by restructuring to prominently emphasise .
Design: A mixed study involving a quantitative survey of 679 potential patients (adopters) and a qualitative content analysis of ten semi-structured interviews with clinic assistants.
Setting: For the survey, three combined random samples of potential patients from Atteridgeville, Bapong and Garankuwa (South Africa).
Syst Rev
August 2022
Department of Industrial Engineering, Stellenbosch University and CSIR Next Generation Enterprises and Institutions, Stellenbosch, South Africa.
Background: Despite all the excitement and hype generated regarding the expected transformative impact of digital technology on the healthcare industry, traditional healthcare systems around the world have largely remained unchanged and resultant improvements in developed countries are slower than anticipated. One area which was expected to significantly improve the quality of and access to primary healthcare services in particular is remote patient monitoring and management. Based on a combination of rapid advances in body sensors and information and communication technologies (ICT), it was hoped that remote patient management tools and systems (RPMTSs) would significantly reduce the care burden on traditional healthcare systems as well as health-related costs.
View Article and Find Full Text PDFData Brief
April 2022
Voice Computing Research Group, CSIR Next Generation Enterprises and Institutions Cluster, P.O. Box 395, Pretoria 0001, South Africa.
The aim of the National Centre for Human Language Technology (NCHLT) project was to create speech and text resources that would enable Human Language Technology (HLT) development for the 11 official languages of South Africa. The speech data described in this paper was collected during the NCHLT project using a smartphone application. The official NCHLT Speech Corpus was released in 2014, but it did not include all recordings that were made during the data collection campaign.
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