With the help of power query and DAX functions, I have
managed to clean the data and create useful measures to
get some useful insights about Hospital wait time such as:
⁃ How many patients are coming per hour every day?
⁃ Average wait minutes per hour every day.
- Average of consulting and processing period.
- Average wait minutes and count patients by hours.
- Average of consulting period by Doctor type.
- Count of patients by financial.
Based on these insights, here are some decisions that can
help the Hospital to decrease waiting time:
⁃ Should increase Doctors from 8 am:10 am especially Anchor's doctors.
⁃ prefer to increase Doctors on Monday.
⁃ Attention that the HMO class is 12% so we could make offers to this financial class to increase our segments.