Laboratories are managed to specific KPIs, and the most successful labs regularly share KPIs across the organization to ensure optimized productivity and accountability. As clinical laboratories and pathology groups prepare for the increasing demands of the healthcare system, they will rely on the power of their clinical and operational data to optimize employee productivity and accountability. However, ongoing KPI monitoring has always been challenging due to the lack of interoperability between IT systems. Advanced analytics solutions now provide healthcare leaders access to data analyses which enable a successful performance and productivity improvement program.
Staffing Productivity, Accountability, and Motivation
To support the transition towards value-based care, healthcare organizations must increase employee productivity, set accountability standards and motivate their personnel. Productivity analyses can be used not only to identify efficiency issues and provide immediate feedback concerning training, but to also recognize, encourage, and reward employees for their accomplishments. Actively managing personnel using metric-driven performance indicators enables an objective evaluation of the organization’s overall productivity. Rewarding specific behaviors that drive the organization’s performance aid in making these behaviors permanent.
Due to data mining challenges, healthcare organizations often make anecdotal decisions. Having access to productivity data enables management to identify and remove workflow barriers for their teams – such as training issues or effective flex resource allocation. These performance reports create an active dialogue for management to answer the challenges their employees face.
Staffing Optimization and Utilization
According to the College of American Pathologists, laboratory staffing accounts for 50 – 70% of direct lab costs. Therefore, the ability to accurately identify patterns within your lab’s workflow is critical to optimizing resource allocation.
Identifying workload patterns and volumes allows managers to predict and adjust staffing levels based on the trends they see within the laboratory. Laboratory leaders can use predictive staffing analyses to identify when they should be utilizing full-time vs. part-time resources for more effective resource utilization. Quick access to workloads by hour, month, and season are needed to accurately respond to these fluctuations, which directly impact staffing requirements and bottom line.
Reduce TAT Variation To Ensure Consistency
Turnaround time (TAT) is often used as a KPI for laboratory performance and one of the most evident signs of quality service. Clinicians desire reproducible and reliable test results. These results depend on the laboratory’s ability to minimize TAT. Laboratories may reduce variation and downstream errors by actively monitoring their turnaround times. Responding to TAT outliers help identify HR training opportunities, which ultimately improve future performance and better address future TAT fluctuations.
Clients have many options for diagnostic testing, and therefore labs cannot afford to have unsatisfied clients. TAT monitoring can illustrate the laboratory’s commitment to providing a high quality service. TAT variation analyses illustrate the lab’s clinical and operational data and clearly identify any TAT outliers. This type of analysis may provide leaders access to data needed to effectively monitor and manage their client’s expectations while ensuring consistency among lab resources.
Advanced analytics solutions empower employees and management, accurately predict staffing requirements and deliver higher quality in a sustainable manner. To learn more about how Viewics can help, download our eBook, Strategic Planning for Laboratories.