Intelligent HealthCare for Efficient Bed Occupancy

Simple item page
dc.contributor.authorAkoto, Ohemaa Akua Afriyie
dc.date.accessioned2021-05-04T09:49:51Z
dc.date.available2021-05-04T09:49:51Z
dc.date.issued2020-05
dc.descriptionUndergraduate thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020en_US
dc.description.abstractHospital 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.sponsorshipAshesi Universityen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11988/665
dc.language.isoen_USen_US
dc.publisherAshesi Universityen_US
dc.subjectHospitalen_US
dc.subjectHospital occupancyen_US
dc.subjecthospital bedsen_US
dc.subjectpatient careen_US
dc.subjectIoT sensorsen_US
dc.subjecttriage frameworken_US
dc.titleIntelligent HealthCare for Efficient Bed Occupancyen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Akoto_Ohemaa_2020_CS_Thesis.pdf
Size:
1.66 MB
Format:
Adobe Portable Document Format
Description:
Capstone project
Download

Collections

Senior Theses and Projects