Abstract
A polyclinic hospital in K City consists of 28 medical treatment departments and keeps sickbeds of more than 800.
To cope with the inpatient and outpatients, a few thousand medical treatments are performed every day.
Some patients take several kinds of inspections and treatments, they have to endure considerable waiting time.
We have analyzed 6 million annual transaction data of patient movement, clarifying in detail the characteristics of total and individual waiting time phenomena. Then we came up with some measures to reduce physical and mental burden of the patients who experience during the waiting time both quantitatively due to the data analysis and qualitatively referencing to the advanced examples at other major hospitals or different industries.
The conclusions are the suggestions as a feasible remedy to the hospital.
