Predicting the number of IT staff needed in hospitals of Isfahan University of Medical Sciences based on modeling in 2023: A descriptive‐analytical study

Author:

Jangi Majid1ORCID,Shayan Babokani Azadeh2ORCID,Rezaei Mohsen2ORCID,Kamali Nasab Shokouh2ORCID,Mirzaei Morteza2ORCID,Kazemzadeh Mozhgan2ORCID

Affiliation:

1. Health Information Technology Research Center Isfahan University of Medical Sciences Isfahan Iran

2. Department of Statistics and Information Technology Isfahan University of Medical Sciences Isfahan Iran

Abstract

AbstractBackground and AimsConsidering the increasing use of information technology (IT) and the need of the implementation of related projects, the lack of IT specialists in the health system is one of the major challenges that require planning and foreseeing. This study was conducted with the aim of predicting the number of required IT personnel in hospitals of Isfahan University of Medical Sciences based on the modeling of identified and weighed influential factors in 2023.MethodFirst, Delphi method and multi‐criteria decision‐making (MCDM) using the Expository Posthaste Effective Resemblant Tool (ExPERT) were conducted to identify and weigh the components that affect IT staff's workload in hospitals. Then, the model for predicting the required number of IT personnel for the involved hospitals was developed. In all stages, the obtained information and results were checked and confirmed using experts' opinions in Focus Group Discussions.ResultsTwenty‐one hospitals (57%) out of 37 hospitals are facing a shortage of IT personnel. This varies from 0.5 to 1.6 personnel in different hospitals. Thirteen hospitals (35%) were reported to have adequate IT staffing and three hospitals (8%) had excess IT staffing.ConclusionThis 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.

Publisher

Wiley

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