Hospital based emergency care


After studying the data in the spreadsheet, I have found out that theincrease of the number of servers in the emergency department from 5to 7 in non-emergency 6 months while operating in normal capacity andfrom 6 to 8 while operating under optimum capacity. Has an effect onthe number of customers waiting for service in that during thenon-emergency current period the average time of people waiting inline to be served is 0.7625 and drops to 0.3069 when the serversaren’t operating at maximum capacity, this is also evident when theemergency departments are operating under maximum capacity becausethe numbers drop to 0.1406 to 0.0892 respectively.

Some of the specific operational issues that the manager will need toaddress will be issues such as service time and system utilization.The service time during both two periods of 6 months is the same at0.5000 this should be reduced by the fact that the numbers ofservers are increased from 6 in the current 6 months to 8 in theother 6 months period. System utilization is not optimized duringthis despite the servers being added hence the static nature, itremains at 0.7500 when operating under optimum capacity during boththese two periods.

The implications for the manager and staff after the anticipatedchanges in capacity requirement in servers operating in the emergencydepartment is that the average number of customers being served,average number of customers in the system and average time ofcustomers spend in the system was expected to come down because ofthe addition of servers from 5 to 7 in normal periods and 6 to 8under optimum capacity.


Hospital-Based Emergency Care excerpt (pages 1–4),