Ontology highlight
ABSTRACT: Background
Big health data is a large and complex dataset that the health sector has collected and stored continuously to generate healthcare evidence for intervening the future healthcare uncertainty. However, data use for decision-making practices has been significantly low in developing countries, especially in Ethiopia. Hence, it is critical to ascertain which elements influence the health sector's decision to adopt big health data analytics in health sectors. The aim of this study was to identify the level of readiness for big health data analytics and its associated factors in healthcare sectors.Methods
A cross-sectional study design was conducted among 845 target employees using the structural equation modeling approach by using technological, organizational, and env
SUBMITTER: Assaye BT
PROVIDER: S-EPMC11470786 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature