Predicting the number of IT staff needed in hospitals of Isfahan University of Medical Sciences based on modeling in 2023: A descriptive-analytical study.
Majid JangiAzadeh Shayan BabokaniMohsen RezaeiShokouh Kamali NasabMorteza MirzaeiMozhgan KazemzadehPublished in: Health science reports (2024)
This study provided a predictive model for required IT staff in hospitals using MCDM through ExPERT which can be used in cases where the use of workload-based methods such as Workload Indicators of Staffing Need is complex or time-consuming.