What is it about?
The clinical research staff has to successfully manage multiple studies with varying complexities, timelines, and workloads while protecting subject safety and data integrity. Failure may occur when a staff member's workload is too low or excessive. Finding the optimal workload requires metrics that display the percentage of time spent on paid and uncompensated work efforts. This article reveals a novel and simple approach that does not place an additional workload on the staff under review. It also uses an algorithm to determine which coordinator is best suited to take on a new research study.
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Why is it important?
Measuring the productivity of research staff with concomitant workloads is essential to running a successful study and site. The traditional methods do not consider the hard or soft skill sets of research staff, the environment within which they work, or their concomitant studies' impact. Failing to optimize workload over time will lead to regulatory non-compliance, subject safety or data issues, or staff burnout. This article provides site managers with the tools they need to perform resource management and capacity planning efficiently.
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This page is a summary of: Harmonizing Protocol Complexity with Resource Management and Capacity Planning at Clinical Research Sites, Therapeutic Innovation & Regulatory Science, January 2020, Springer Science + Business Media, DOI: 10.1007/s43441-020-00120-8.
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