ANALYTICS MODEL FOR PATIENT FORECASTING

Healthcare services quality provided by Hospital are impacted by the number of patients visit to the hospital. Due to a high number of patients visit, there are occurrences where the number of staff allocated is insufficient to manage and serve the high volume of patient visits. With the emerg...

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Bibliographic Details
Main Author: Osman, Muhammad Yasin
Format: Final Year Project
Language:English
Published: IRC 2020
Subjects:
Online Access:http://utpedia.utp.edu.my/21735/1/24664_Muhammad%20Yasin%20bin%20Osman.pdf
http://utpedia.utp.edu.my/21735/
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Institution: Universiti Teknologi Petronas
Language: English
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Summary:Healthcare services quality provided by Hospital are impacted by the number of patients visit to the hospital. Due to a high number of patients visit, there are occurrences where the number of staff allocated is insufficient to manage and serve the high volume of patient visits. With the emergence of data analytics, data forecasting was possible to be implemented into healthcare services. However, the forecasting practices has been focusing on the prediction for certain type of disease growth rate. This research paper will be working on studies to forecast number of patient visit. The contribution of this research paper is (1) The advantage of data analytics for resource management, and (2) Discussion on the analytics model and proposal to import the machine learning model into web interface.