Identifying factors affecting the adoption of big data analytics in South African rural-based hospitals to improve service delivery
DOI:
https://doi.org/10.18489/sacjv37i1/17830Keywords:
big data analytics, rural-based hospitals, healthcare, decision-making, service deliveryAbstract
The healthcare sector is progressively recognising the potential of big data analytics to revolutionise patient care, operational efficiency and decision-making processes. However, rural-based hospitals face challenges in embracing big data analytical tools to improve their service delivery to their patients. The adoption of big data analytics will assist rural-based hospitals in predicting and making informed decisions to manage the limited resources that they have and allocate them appropriately. However, there is a lack of literature that explores and identifies the factors that affect the adoption of big data analytics in rural-based hospitals to improve service delivery. This research employs a quantitative research methodology using surveys to identify the factors that affect the adoption of big data analytics in rural-based hospitals. This study found that rural-based hospitals prefer a hybrid method to collect data and it impedes the adoption of big data analytics in rural-based hospitals. Therefore, there is a need to implement modern infrastructure to integrate various data collection methods to promote the adoption of big data analytics in rural-based hospitals.
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Copyright (c) 2025 Thifhindulwi Maxwell Rambau, Willard Munyoka, Nkhangweni Lawrence Mashau

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