Parallel Patient Treatment Time Prediction Using Effective Queuing Recommendation System

Improving Patient Experience and Efficiency in Hospital Operations

Authors

  • Priya Ramdas Dhumal
  • Poonam Maruti Dumbare
  • Satyabhama Dnyanoba Mane
  • Trushali Pandurang Sandbhor

Keywords:

parallel, patient treatment time prediction, queuing recommendation system, hospital, patient overcrowding, patient wait, annoying waits, frustration, patients, wait in queue, mobile application, real time, disease recognition, symptoms, iterative algorithm, KNN algorithm, information, ambulance, area wise

Abstract

In hospital it is most challenges to reduce patient overcrowding and long time patient wait. Because of annoying waits for long periods ,it may increase frustration by patients .It will also be convenient for patients by this project to understand how much time they have to wait in queue, through a mobile application that updates in real time. It is also become possible to recognize the disease by selecting symptoms which display by using iterative and KNN algorithm. This project is also useful to display information of ambulance by area wise.

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Published

2018-04-27

How to Cite

[1]
“Parallel Patient Treatment Time Prediction Using Effective Queuing Recommendation System: Improving Patient Experience and Efficiency in Hospital Operations”, JASRAE, vol. 15, no. 2, pp. 726–729, Apr. 2018, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/8023

Issue

Vol. 15 No. 2 (2018): Journal of Advances and Scholarly Researches in Allied Education (JASRAE)

Section

Articles

How to Cite

[1]
“Parallel Patient Treatment Time Prediction Using Effective Queuing Recommendation System: Improving Patient Experience and Efficiency in Hospital Operations”, JASRAE, vol. 15, no. 2, pp. 726–729, Apr. 2018, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/8023