In determining the predictive relevance of developed HIT model we collected quantitative data from clinical and non-clinical (administrators) staff at Komfo Anokye Teaching Hospital (KATH), Kumasi Ghana using the traditional in-person distribution of paper-based survey, popularly known as drop and collect survey (DCS). The availability of reliable measuring tools could help improve outcomes of readiness assessments. ![]() However, there is a general lack of reliable indicators used in measuring readiness assessment factors, resulting in limited predictability. ![]() There exist a sizable body of research addressing the evaluation of eHealth/health information technology (HIT) readiness using standard readiness model in the domain of Information Systems (IS).
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