• PREMKUMAR KATHULA
• MD FAHAD ANSARI
• ABU HAMZA KHAN
• ER.FARIDA ATTAR

Inefficient management of the patients‟ queues are one of the major issues faced in medical institutions like clinics and hospitals which end up in creating large crowds at the hospital lobbies and an extended waiting time in the patients‟ treatments. Waiting unnecessarily for a long period of time, ends only in loss or wastage of time, human life, and hospital resources. It also increases the number or frustrated patients that are waiting to get treatment required. Every single patient must undergo a diagnosis and then be forwarded to other departments or medical personnel for further procedures. Therefore, each patient’s waiting time is the time taken by the system to diagnose all the patients before him/her in the queue. In such a condition, the most practical decision would be to give out an efficient treatment plan to each patient. This can be implemented as a mobile application, wherein a predictable waiting time according to the diagnosis of the patient is uploaded, which then updates itself in real-time. Taking this into consideration, this paper proposes a Patient Treatment Time Prediction (PTTP) algorithm that can predict the time taken by a procedure for a particular patient. This algorithm can be applied to real world scenarios and can be implemented in a large-scale environment. After predicting a treatment time necessary, the Hospital Queuing Recommendation (HQR) system can be developed. The necessary input data for this is taken from a real-world scenario like an actual doctor estimating time for a procedure at a particular hospital.

hospital,queue,wait time,predict

"PREDICT QUEUE WAIT TIME IN A HOSPITAL ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f152-f156, May-2021, Available :http://www.jetir.org/papers/JETIR2105684.pdf

"PREDICT QUEUE WAIT TIME IN A HOSPITAL ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf152-f156, May-2021, Available at : http://www.jetir.org/papers/JETIR2105684.pdf