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The case mix programme provided data on case mix, transfers, discharges, length of stay, readmissions, and unit and hospital mortality for patients admitted to critical care units.
These data were used to calculate hospitals' operational performance indices that included six operation performance indicators: number of discharges, length of stay, bed occupation rate, turnover rate, number of inpatients, and number of outpatients.
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The acquired data amount increases continuously with the discharge length.
Data collected included: demographics; referral type; and service utilization characteristics (e.g. type of discharge, length of time in treatment).
In addition, decreasing the discharge gap and the dielectric material's thickness, or enlarging the discharge length, increased both conversion of CO2 and process efficiency.
The influence of plasma processing parameters (e.g. discharge frequency, CO2 flow rate, discharge power, discharge length, discharge gap, and dielectric material's thickness) on the plasma CO2 conversion and energy efficiency of the process was investigated.
The relationships between anemia status with age at admission, gender, fracture type, residence before injury, walking ability at discharge, length of hospital stay, and survival outcome were analyzed.
The applied voltage, oxygen content, discharge length and relative humidity were optimized in this research and the byproducts of O3 and NOx were also detected and discussed.
Sliding and elimination of sand from the river bank and bar deposits is an everyday phenomenon during low-discharge length, which leads to the slumping of the upper fine-grained clay unit and resulted in lateral erosion.
The simulations of the suggested structure are generated through a combination of different values of the furrow irrigation variables (inflow discharge, length of furrow, and infiltration parameters), to compare between different models and measured data.
Information obtained from the hospital separation dataset included admission and discharge dates, injury hospitalization type (in-patient or day surgery), sex, date of birth, death flag in a given year, date of death, hospital visit type (in-patient or day surgery), dead or alive on discharge, length of stay, age, ICD-codes for falls, and most responsible diagnosis for the hospital stay.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com