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Intelligent HealthCare for Efficient Bed Occupancy

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dc.contributor.author Akoto, Ohemaa Akua Afriyie
dc.date.accessioned 2021-05-04T09:49:51Z
dc.date.available 2021-05-04T09:49:51Z
dc.date.issued 2020-05
dc.identifier.uri http://hdl.handle.net/20.500.11988/665
dc.description Undergraduate thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020 en_US
dc.description.abstract 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. en_US
dc.description.sponsorship Ashesi University en_US
dc.language.iso en_US en_US
dc.publisher Ashesi University en_US
dc.subject Hospital en_US
dc.subject Hospital occupancy en_US
dc.subject hospital beds en_US
dc.subject patient care en_US
dc.subject IoT sensors en_US
dc.subject triage framework en_US
dc.title Intelligent HealthCare for Efficient Bed Occupancy en_US
dc.type Thesis en_US


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