Unveiling Efficiency: A Research Inquiry into Technical Staff Utilization in South Indian Clinical Laboratory using Workload Indicators Staffing Need (WSN) Analysis. [version 1; peer review: awaiting peer review]

Background Effective clinical laboratories are the need of the hour, they play a significant role in healthcare, providing tests for diagnosis, treatment monitoring. Having skilled and adequate staffing is crucial for clinical laboratories to operate efficiently, manage their workload effectively, and deliver test results in a timely manner. Despite being critical for healthcare delivery, ensuring adequate staffing levels in clinical laboratories remains a complex challenge for healthcare providers worldwide due to resource constraints and workforce shortages. Methods This study evaluates the effectiveness of clinical laboratory staff utilization by considering workload, work pressure, and staffing requirements. We utilized the Workload Indicators of Staffing Need (WISN) method to assess the staffing in the clinical laboratory of a tertiary care hospital. Annual hospital statistics were collected for two years from June 2021 to May 2023 to calculate the average number of days (234) worked annually, percentage of workload, distribution of activity time measurement units, and the ratio of needed, surplus, and existing staff. The findings aim to provide valuable insights for optimizing staffing levels and ensuring an efficient laboratory environment. Result The analysis found a significant workforce gap in the laboratory between the current staff numbers and the calculated staffing needs. The WISN ratios ranged from 0.2 to 0.7, indicating the existing 33 staff members face a high workload burden. The calculated ideal staffing level was 46.33 personnel. These results demonstrate staff shortage and excess workload pressure on the current laboratory employees. Conclusion The results highlight the importance of optimizing staffing levels in clinical laboratories to ensure quality service delivery. The WISN methodology can be a useful tool in healthcare facilities for making evidence -based decisions for staff allocation, maximizing the utilization of employee skill sets, and establishing standard staffing benchmarks tailored to the needs of clinical laboratories.