Parallel Patient Treatment Time Prediction with Hospital Queuing Recommendation System
| Author(s) | : | Prof.Minal Zope, Rohan Kalyankar, Pradnya Gaikwad, Prajakta Khedekar |
| Institution | : | Computer Engineering, AISSMS’s Institute of information Technology, Pune (India) |
| Published In | : | Vol. 4, Issue 16 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Nowadays, in every hospital, we see a large amount of people waiting in queue to take treatment fromdoctors for different types of illness. In this scenario people get fed up to stand in queue for a long time waiting fortheir turn for treatment, leaving all their usual important work and job. To help them out and to avoid their stress tostand in the queue and wastage of their important time, we have developeda system that gives queue waiting time topatients through the web application which update in real time. We developed a Parallel Patient Time PredictionAlgorithm which will give the patient waiting time for their treatment.So that they can attain the hospital accordingto the time predicted to them.Also we developed the Hospital Queuing Recommendation (HQR) System,whichsuggests the treatment to the patient according to waiting time of treatment. The treatment with less queue amongother is first recommended to the patient.
Prof.Minal Zope, Rohan Kalyankar, Pradnya Gaikwad, Prajakta Khedekar, “Parallel Patient Treatment Time Prediction with Hospital Queuing Recommendation System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.
