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Essay on Case 6-Columbia Memorial Hospital

Satisfactory Essays

Case Study #6
Managerial Accounting

#1 With no change in volume (utilization), is the clinic projected to make a profit?
Currently the clinic sees about 45 patients per day and they have capacity to handle 85. If they continue how they are operating the clinic is looking at a loss of $3,173. At this rate the clinic will not be able to make a profit in spite of inflation over the next couple years.
#2 How many additional daily visits must be generated to break even?
There is an average of 1,230 visits a month, bringing in 47,037 a month in net revenue. Figure one tells us that in order to breakeven without the new marketing program the clinic will need to see 22 more patients per day, which brings it to a grand total of 67 …show more content…

The most difficult items to project were patient visits because they are vital to the entire process since they dictate the electricity, salaries and wages, malpractice insurance, water, and supplies. It is not an easy task to guess how many patients will need to be seen since we do not know what the geographical location is of the clinic or what the year will bring in outbreaks or illnesses. How sick a patient is or what illnesses are prevalent during that time period is not something that the clinic can control. Also the clinic has been very understaffed the past couple years so with the hopefully influx in patients there would need to be an increase in administrative and medical staff. The items that would cause the most risk if mis-estimated would be malpractice insurance, salaries and wages, and number of visits. If they miscalculate the number of visits then this could hinder the other categories which would result in a possible shut down of clinic if not enough malpractice insurance is counted for and staff and personnel would leave if they were not being paid appropriately due to the miscalculation of patient visits.
#6 What could Brent do to minimize the uncertainties/risk inherent in the estimates?
Brent is going to need to be as thorough as possible in analyzing the historical data in order to project the possible

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