Browsing by Author "Akoto, Ohemaa Akua Afriyie"

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    Intelligent HealthCare for Efficient Bed Occupancy
    (Ashesi University, 2020-05) Akoto, Ohemaa Akua Afriyie
    Hospital occupancy describes the number of hospital beds engaged by inpatients as compared to the total number of beds in the hospital. Knowledge of accurate occupancy is essential to very hospital in determining whether the hospital is under-occupied and wasting resources or over occupied such as that they may not be providing proper patient care. It is also very imperative especially in emergency situations that the current bed occupancy is known such that incoming patients experience reduced wait times which lead to improved patient outcomes. This thesis explores a model which uses IoT sensors and a triage framework to actively calculate the number of occupied as against the number of beds available and efficiently schedule waiting patients unto these beds according to the severity of their cases.