Exhaustive Measurement on Patients Portable Churn Dissection

Abstract

Patient portable churn dissection and prediction plays an important role to decide a suitable hospital for predicted diseases, patient’s age group and health sustainability. Existing patients are grouped together based on various attributes such as admission details, cost for treatment, type of treatment, feedback given by the hospital and the patient for analysis and prediction. The prediction is based on identification of patients who are about to churn that can be analysed using Clustering algorithm. Healthcare centre will improve the quality of service and treatment methods which are based on prediction obtained from the clustering by using existing patient history. This will give confidence to the patient. As Healthcare centre may not know the exact reasons for patient churn, the patient retention is an important factor that boosts engagement, revenue and thereby decreases the churn rate. It will increase reputation of the hospital and surveillance of the patient.  Patient satisfaction surveys are useful to listen patient’s needs, provide regular meetings and check-ups to improve patient engagement with hospital that would certainly reduce churn rate.