WORKFLOW OPTIMIZATION AND EFFICIENCY IN THE RADIOLOGY DEPARTMENT: A CASE STUDY AT THE UNIVERSITY OF BENIN TEACHING HOSPITAL
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Department
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Abstract
Background: Workflow efficiency is critical to the quality and timeliness of radiological services. In many healthcare institutions, inefficiencies such as staff shortages, equipment downtime, and poor coordination negatively impact productivity and patient satisfaction. Optimizing workflow ensures better service delivery, faster turnaround times, and improved staff performance.
Aim: This study aimed to evaluate workflow optimization and efficiency in the Radiology Department of the University of Benin Teaching Hospital (UBTH), identifying the major factors affecting workflow and assessing how existing work processes and staff interactions influence
efficiency.
Method: A descriptive cross-sectional survey design was adopted. Structured questionnaires
were administered to 41 respondents (radiographers and radiology staffs) at UBTH. Data were analyzed using descriptive statistics with the Statistical Package for the Social Sciences (SPSS).
Results: The findings revealed that 60% of respondents perceived the departmental workflow as moderately efficient, while 26% rated it as highly efficient and 14% considered it inefficient. Major factors affecting workflow included equipment breakdown (72%), inadequate staffing
(68%), and delayed report generation (64%). Conversely, 74% of participants agreed that teamwork and proper task coordination improved workflow, and 70% affirmed that the use of digital imaging systems enhanced overall efficiency.
Conclusion: Workflow efficiency in radiology can be enhanced through improved communication, staff training, adequate resource allocation, and the adoption of automation and digital technologies. Regular workflow evaluations and continuous quality improvement
initiatives are essential for sustaining efficiency in radiological services.
Keywords: Workflow Optimization, Efficiency, Radiology Department,
Aim: This study aimed to evaluate workflow optimization and efficiency in the Radiology Department of the University of Benin Teaching Hospital (UBTH), identifying the major factors affecting workflow and assessing how existing work processes and staff interactions influence
efficiency.
Method: A descriptive cross-sectional survey design was adopted. Structured questionnaires
were administered to 41 respondents (radiographers and radiology staffs) at UBTH. Data were analyzed using descriptive statistics with the Statistical Package for the Social Sciences (SPSS).
Results: The findings revealed that 60% of respondents perceived the departmental workflow as moderately efficient, while 26% rated it as highly efficient and 14% considered it inefficient. Major factors affecting workflow included equipment breakdown (72%), inadequate staffing
(68%), and delayed report generation (64%). Conversely, 74% of participants agreed that teamwork and proper task coordination improved workflow, and 70% affirmed that the use of digital imaging systems enhanced overall efficiency.
Conclusion: Workflow efficiency in radiology can be enhanced through improved communication, staff training, adequate resource allocation, and the adoption of automation and digital technologies. Regular workflow evaluations and continuous quality improvement
initiatives are essential for sustaining efficiency in radiological services.
Keywords: Workflow Optimization, Efficiency, Radiology Department,
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