Abstract of Dissertation

Keyword : Patient Discharge Process; Patient Satisfaction; Discharge Process

Objective : To estimate the average discharge time To understand the process of discharge To find out the factors responsible for delay in the discharge process

Background : The discharge planning of the patient can be defined as “The function in each acute hospital will be enhanced to ensure that patients do not have to remain in hospital for any longer than necessary” The standard time of discharge for cash patient is 2-2.5 hrs and for credit patient its 3- 4 hrs but in some cases delay in process occurs, thus to identify the causes of delay in process, whole process is divided into sub processes and assumptions have been taken for them; however the whole process is complicated and time assumption for various sub processes may increase which might create chaos.

Methodology : The research project was carried out at Narayana Multispecialty hospital, Jaipur from January to April 2016. The sample was comprised of 70 patients discharged from the private ward. Discharge tracker was used in order to collect the data of discharged patients from the private ward.

Findings : The study revealed that Out of 70 discharges 39 were delayed while 31 were discharged well in time. Out of 39 delayed discharges, 10 (25.64 %) delayed by marked for discharge 13(33.33%) delayed by pharmacy clearance, 7(17.94%) delayed by billing and 9 (23.07%) were combinations of above 3 factors. Study also exhibits that more number of delayed discharges were unplanned (26) as compared to planned discharges (13)

Recommendations : Health care sector is one of the most rapidly growing sectors now days. Level of competition is increasing day by day so any corporate hospital which wants to survive and for wealth maximization has to maintain a standard quality in the organization. Quality consciousness and competitiveness must be developed in the organization by constant monitoring, counseling and training, to achieve desired result. From the above study, it can be concluded that mare number of delayed discharges were unplanned as compared to planned discharges hence we should focus and work more towards making more number of discharges as planned and minimizing the number of unplanned discharges.