BUAP018 ASSIGNMENT 2: Option appraisal for enhancing covid-20 care Spring 20201 Submission: Tues 27th April 2021, 2pm Introduction GCC commissioned an analysis of the care flow process and a simulation of the operation of the hospital working when it was working at full capacity (with 250 patients arriving every week). The care process is shown in Figure 1. The simulation of hospital activities is in the file covid20.s8. Seventy new beds have been made available to the hospital, and they can be shared between the “recovery ward”, “high dependency unit” and “intensive care unit”. You have been given two key tasks: to describe the logic of the model, particularly in the areas of resources available to the recovery ward and the HDU and the ICU;To advise management on the best way to distribute the 70 new beds across the three wards so as to minimize transfers to other hospitals and to maximize successful discharges through the hospital. The care process Assignment 1 described the basic care process; note that this is a simplification of actual care where it is possible for some patients to take more complex routs through the hospital system. Further data describing the durations and capacities of key activities are noted below. When no the covid-20 wards are full, patients are placed on another ward; from that ward they might be discharged or transferred to the HDU if their condition deteriorates. If the HDU is full, the patient could be place in the ICU if there is a spare bed. When the ICU is full, patients requiring this level of care have to be transferred to another hospital in a different region. An early study suggested that 35% of referrals result in admissions; about 55% of hospital admissions require a stay on the HDU and 40% will need some time on the HDU and also ICU; 15% of the patients admitted died. Before any patient is discharged they spend a few days on the recovery ward with an emphasis on occupational therapy and physiotherapy. Figure 2 The care process1 Scenarios Describe the logical flow of the simul8 model provided, with a special emphasis on the resources available in the recovery ward, the HDU and the ICU.Use the simul8 model provided to change the level of Bedding at the recovery ward, HDU and ICU at appropriate levels in order to use up the 70 bed capacity. By performing a series of experiments with bed allocation, justify a redistribution of the 70 beds in such a way that it will reduce the treatment burden on the GCC. Are all 70 beds required or can the hospital run almost as smoothly smoothly with less than 70 extra beds? If so, estimate how many beds would be required to make the most impact. Tasks Enhance the Simul8 model (covid20.s8) as it has been provided, with a special emphasis on how transfers arise and the resources available in the recovery ward, the HDU and the ICU.Adapt the Simul8 model that has been provided to cope with the provision of 70 new beds, as described in this project brief so as to reduce the number of transfers from the hospital and increase the number of patients successfully discharged.Advise the management on whether or not the same results could be achieved with fewer than 70 beds, or whether more might be needed to deal with the maximum flow rate of 250 patients arriving per week.Write a 1500 word report a report containing: summary: very briefly stating the key objectives, methods results and recommendationscontents pageDescribe your adapted model covid20 highlighting the key improvements in the areas of recovery ward, HDU and ICU.Analyse whether the same results could be provided with less than 70 extra beds, or whether better results could be achieved with more than 70 beds.recommendations: interpreting the results of the analyses and the consequent suggestions for management action Submit a copy of your adapted Simul8 model covid20.S8 along with your report 1 The patient pathways have been simplified. For example, in practice a few patients may move backwards and forwards between the wards but in this exercise you should ignore the possibility of patients following different, more complex sequences of activity.
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