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Paper Title: Hospital Queueing Management System with Automatic Appointment Generation
Authors Name: Likhith S , A V Krishna Mohan
Unique Id: IJSDR1804037
Published In: Volume 3 Issue 4, April-2018
Abstract: Healthcare is a delicate sector and the service they provide is more significant and even life-saving. One of the major problems faced by the today’s hospital is the lack of effective technique to manage the patient queue. The long waiting problem led to the patient overcrowding thereby increases patient frustration. The queue management system is the automated process of handling queue. We collect the patient data from various hospitals to calculate the waiting time for every treatment tasks. We design an online appointment system to reduce the entry fluctuation. The appointment system encourages Hospitals to efficiently achieve their registration procedure and to monitor the patient's flow. The proposed algorithm elevates the process by considering direct patient feedback combine that with detailed analytics, the effective treatment plan is recommended that helps to discern total waiting time in the hospital in advance. Patient Treatment Time Prediction (PTTP) is proposed to estimate the waiting time of the patient for each of the treatments. On the basis of the waiting time calculated by the PTTP, a system called Hospital Queuing-Recommendation (HQR) is deployed whose task is to mention an efficient treatment scheme for every patient in the queue, thereby minimizing the patient waiting time delays.
Keywords: PTTP, HQR, RF, Hadoop.
Cite Article: "Hospital Queueing Management System with Automatic Appointment Generation", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 4, page no.230 - 235, April-2018, Available :http://www.ijsdr.org/papers/IJSDR1804037.pdf
Downloads: 000251438
Publication Details: Published Paper ID: IJSDR1804037
Registration ID:180161
Published In: Volume 3 Issue 4, April-2018
DOI (Digital Object Identifier):
Page No: 230 - 235
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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