PREDICTION OF DISEASE BURDEN AND HEALTHCARE RESOURCE UTILIZATION THROUGH SIMPLE PREDICTIVE ANALYTICS USING MATHEMATICAL APPROACHES, AN EXPERIENCE FROM UNIVERSITY OF MALAYA MEDICAL CENTRE

Main Article Content

Amirah binti Azzeri
Nur Farhan Abdul Hakim
Mohd Hafiz Jaafar
Maznah Dahlui
Sajaratulnisah Othman
Tunku Kamarul Zaman Tunku Zainol Abidin

Abstract

The sudden surge in the number of healthcare utilizations compels the hospital to plan for its future needs. Several time-series projections of Covid-19 were conducted to forecast the disease burden and resources utilization through simple predictive analytics. The projections revealed a rapid increase in the number of cases and patient in care at the hospital. It was estimated that the number of patients in care to range from 62 to 81 and 89 to 121 patients daily in the second and third phase of movement control order respectively. It was estimated that more than 100,000 plastic aprons, 80,000 sterile and non-sterile isolation gowns, 40,000 masks N95 and face shields, 30,000 gloves and nearly 17,000 bottles of hand sanitizers are needed until late May. Hence, a simple mathematical algorithm is a helpful tool to manage hospital resources during the pandemic.

Downloads

Download data is not yet available.

Article Details

Section
Research article

Most read articles by the same author(s)