Analyzing the waiting time of patients in hospital by applying heuristics process miner

Health care sectors are continuously research new and advanced way to improve serviceable productivities. This research study find potential efficiency gains in health care sectors by considering the factors like time, cost and resource utilization and demonstrates the applicability of process mining using a real data set of hospital with the help of enterprise resource planning (ERP) package. The precision of the calculated performance, e.g., waiting time, depends on firstly transactional information secondly the ability to differentiate between subtle controls flow aspects. The aim of the system is to propose effective process models by applying data set for each model which discovers the deviation from the actual process with the help of ProM tool. Several Magnetic Resonance Image (MRI) tests are considered as the baseline scenario wherein actual process models are produced and check for the fitness using Heuristics Miner. In this paper by applying the existing Heuristics Miner algorithm for similar operation, uncommon behavior and incompleteness. The fitness of the process model can be interpreted by utilizing event log with Petrinet called conformance checking by understanding the deviations, time intervals and propose an best fit model for the future execution in an hospital for giving best and efficient utilization of the physical resources and seek to bring down the waiting time of the patient.