Evidence map›Paper›PMID 40979284›Full record

SynthesisF1000Research2025

An IoT BLE based system literature review of real time location monitoring and tracking to shorten patient wait times in Malaysian public hospitals.

Ganes Raj Muthu Arumugam, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah

Abstract readSystematic Review
In one paragraph

Synthesis in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ganes Raj Muthu ArumugamFaculty of Management, Multimedia University, Persiaran Multimedia,, Cyberjaya, Selangor, 63100, Malaysia.ORCID https://orcid.org/0000-0003-0496-3341
Kalaiarasi Sonai Muthu AnbananthenFaculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, Melaka, 75450, Malaysia.ORCID https://orcid.org/0000-0002-0540-2872
Saravanan MuthaiyahSchool of Business and Technology, International Medical University, 126, Jln Jalil Perkasa 19, Bukit Jalil, Kuala Lumpur, 57000, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One important performance metric in healthcare, particularly in Malaysia's public hospitals, is patient turnaround time (PTAT). It describes the time that passes between receiving a patient's request or sample and making a diagnosis or treatment decision. To guarantee prompt patient care, efficient treatment planning, and general healthcare quality, PTAT optimization is essential. Delays in public hospitals are often caused by complex procedures and inefficiencies in patient flow, particularly the lack of tracking when patients leave waiting areas. This study conducts a systematic literature review (SLR) using the PRISMA methodology to examine existing research on PTAT in healthcare. The findings highlight critical factors affecting PTAT in Malaysian hospitals, emphasizing the need for improved patient tracking systems to enhance operational efficiency and healthcare service delivery. It pinpoints recurring themes, knowledge gaps, and possible improvement opportunities. By knowing the elements driving PTAT, administrators, policymakers, and healthcare professionals can be better equipped to adopt measures for improvement. To overcome PTAT difficulties, our study emphasizes the significance of a real-time patient localization system utilizing Bluetooth Low Energy (BLE). This internet of things (IoT) based solution provides a unified strategy for enhancing turnaround times by enabling the real-time tracking of patient movements. The proposed method aims to achieve a PTAT of less than an hour by reducing waiting times by 35% through the integration of current technologies into a unified system. Achieving this objective would enhance the overall effectiveness of patient treatment and drastically reduce missed visits.

Indexed as

Hospitals, PublicWaiting ListsWireless TechnologyHumansInternetMalaysiaTime FactorsBLEIoTPatients Turnaround Time (PTAT)Public Hospital; Real Time Monitoring

Identifiers

PMID40979284
PMCPMC12449682

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.