Leverage machine learning to identify key measures in hospital operations management: a retrospective study to explore feasibility and performance of four common algorithms

Table 1 Hospital operations management measures selected for data mining: financial balance and quality of care (N = 43)

Revenue (n = 21)		Service (n = 8)	Cost (n = 9)	Quality (n = 5)
Outpatient registration	Inpatient bed	Discharged patients	Administrative	Nursing quality score
Outpatient laboratory	Inpatient nursing	Registered patients	Medical materials	Grade A medical record rate
Outpatient examination	Inpatient laboratory	Actual bed occupancy days	Pharmacy	Outpatient AUD exceedance rate
Outpatient surgery	Inpatient examination	Day surgery cases	Equipment depreciation	Inpatient AUD exceedance rate
Outpatient medical supplies	Inpatient surgery	Admitted patients	Building depreciation	Commendation & complaint cases
Outpatient pharmaceutical	Inpatient medical supplies	Level III & IV surgeries	Utilities & maintenance expenses
Outpatient treatment	Inpatient pharmaceutical	Surgeries	Official expenses
Other outpatient revenue	Inpatient treatment		Labor costs
Outpatient revenue	Other inpatient revenue		Other operating costs
	Inpatient revenue

ISSN: 1472-6947