Citation

Muthu Arumugam, Ganes Raj (2025) Optimisation of Patient's Turnaround Time (PTAT) using Bluetooth Low Energy based IOT solutions. PhD thesis, Multimedia University.

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Abstract

This study aims to address challenges faced by Malaysian public hospitals in optimizing Patient Turnaround Time (PTAT) by implementing a Real Time Patient Location Monitoring and Tracking System. The PTAT is the amount of time it takes to process a patient from the moment they arrive at the hospital until they leave the hospital. According to a 2019 statement from Malaysia's Ministry of Health (MOH), government hospitals' healthcare systems still struggle to give patients high-quality care. Objectives include improving patient tracking to reduce delays and procedural inefficiencies, thus enhancing overall service quality and staff productivity. Methods and analysis involve designing a Proof of Concept (POC) based on Internet of Things (IoT) technology, specifically utilizing Bluetooth Low Energy (BLE) and Received Signal Strength Indicator (RSSI) values to estimate patient proximity to strategically positioned Access Points (APs) within hospital facilities. Through pilot tests, this system allows healthcare providers to monitor and locate patients in real time, facilitating timely service delivery. Findings indicate that the BLE-based location tracking system significantly reduces PTAT, minimizes patient movement delays, and boosts staff efficiency in handling patient flow. Novelty and improvement lies in leveraging BLE’s low power, cost effective nature, offering a practical solution for Real Time tracking that aligns with the unique operational needs of Malaysian hospitals. This IoT-based approach is a promising development for healthcare settings striving to enhance patient care standards through efficient resource and time management. The primary objective is to reduce overall waiting times by 35%, aiming for a target PTAT of less than one hour, which will minimize missed appointments and enhance patient care efficiency.

Item Type:	Thesis (PhD)
Additional Information:	Call No.: R859.7.I59 G36 2025
Uncontrolled Keywords:	Internet of things—Medical applications
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	15 Apr 2026 08:35
Last Modified:	15 Apr 2026 08:35
URII:	http://shdl.mmu.edu.my/id/eprint/15705

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