This paper is published in Volume-5, Issue-3, 2019
Area
Information Science and Engineering
Author
Mukul Kumar Majhi, Pushkar Raj, N. Akansh Sai, Raghavendra S. K., Kiran Kumar V.
Org/Univ
SJB Institute of Technology, Bengaluru, Karnataka, India
Pub. Date
27 May, 2019
Paper ID
V5I3-1604
Publisher
Keywords
Big data, Cloud computing, Hospital queuing recommendation

Citationsacebook

IEEE
Mukul Kumar Majhi, Pushkar Raj, N. Akansh Sai, Raghavendra S. K., Kiran Kumar V.. A novel algorithm to improve queuing system in hospital using big data, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mukul Kumar Majhi, Pushkar Raj, N. Akansh Sai, Raghavendra S. K., Kiran Kumar V. (2019). A novel algorithm to improve queuing system in hospital using big data. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Mukul Kumar Majhi, Pushkar Raj, N. Akansh Sai, Raghavendra S. K., Kiran Kumar V.. "A novel algorithm to improve queuing system in hospital using big data." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

In the current era, time is an important entity of our daily life. Unnecessary waiting and overcrowding are one of the major challenges faced by people in hospitals. It ultimately results in frustration among people. So, a new and efficient treatment plan needs to be implemented in Hospitals. Therefore, we propose a Patient Treatment Time Prediction (PTTP) algorithm to calculate the waiting time of each treatment task. A Hospital Queuing Recommendation (HQR) suggests a queue order of treatment tasks the patient can follow in order to have the least waiting time. We use MYSQL database to implement and achieve goals.