PTTP ALGORITHM AND ITS BENEFITS IN HOSPITAL QUEUING RECOMMENDATION SYSTEM

Abstract: - Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for long periods result in substantial human resource and time wastage and increase the frustration endured by patients. For each patient in the queue, the total treatment time of all the patients before him is the time that he must wait. It would be convenient and preferable if the patients could receive the most efficient treatment plan and know the predicted waiting time through a mobile application that updates in real time. Therefore, propose an Effective Patient Treatment and Waiting Time Prediction (EPTWTP) algorithm to predict the waiting time for each treatment task for a patient. Realistic patient data from various hospitals to obtain a patient treatment time model for each task is used. Based on this large-scale, realistic dataset, the treatment time for each patient in the current queue of each task is predicted. Based on the predicted waiting time, a Hospital Queuing-Recommendation (HQR) system is developed. HQR calculates and predicts an efficient and convenient treatment plan recommended for the patient. Because of the large-scale, realistic dataset and the requirement for real-time response, the PTTP algorithm and HQR system mandate efficiency and low-latency response. Keywords: HQR, PTTP, EPTWTP, RF, SVM, HDFS, PACS, YARN, OLAP, JDBC, ODBC.