PARALLEL PATIENTS TREATMENT WITH HOSPITAL QUEUE RECOMMENDATION SYSTEM.

Authors

  • Mrs. Sarika Swapnil Kadam Dept. of Computer engineering DIT,Pimpri Pune, Maharashtra, India
  • Ankita Turuk Dept. of Computer engineering DIT,Pimpri Pune, Maharashtra, India
  • Vikas Kumar Dept. of Computer engineering DIT,Pimpri Pune, Maharashtra, India
  • Mrigakshi Devikar Dept. of Computer engineering DIT,Pimpri Pune, Maharashtra, India
  • Himanshu Bhardwaj Dept. of Computer engineering DIT,Pimpri Pune, Maharashtra

Keywords:

HQR(Hospital queue recommendation), PTTP(Patient treatment time prediction), Real time system

Abstract

Effective patient line administration to bring down patient holds up deferrals and patient congestion is one
out of all the most difficulties highlighted by healing centers. Inessential and irritating waits for long intervals and time
wastage and improve the frustration endured by patients. It would be helpful and attractive if the patients may get the
most critical proficient treatment sort out and be comfortable with expected holding up time by utilizing a portable
application that updates continuously. Perceived this expansive scale, practical informational index, the medicines time
for every last patient among the rundown of present line of each undertaking is anticipated. Perceived the normal
holding up time, a Clinic Lining Suggestion (HQR) framework is produced. HQR computes Relate in Nursing predicts a
practical and helpful treatment started proposed for the person. The PTTP algorithmic and HQR framework order
productivity and low-dormancy reaction.

Published

2018-05-25

How to Cite

Mrs. Sarika Swapnil Kadam, Ankita Turuk, Vikas Kumar, Mrigakshi Devikar, & Himanshu Bhardwaj. (2018). PARALLEL PATIENTS TREATMENT WITH HOSPITAL QUEUE RECOMMENDATION SYSTEM. International Journal of Advance Engineering and Research Development (IJAERD), 5(5), 40–47. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/3391