Resource Optimization Through Data-Driven Capacity Planning

Table of Contents

    Today’s healthcare staffing challenges are immense and complex, to say the least. In the absence of quick and effective solutions, organizations risk revenue loss, unnecessary expenditures, provider burnout, staffing turnover, and quality of care.

    Measuring physician productivity and optimizing productivity of all existing resources is critical towards solving the problem, however, this is only one piece of the puzzle. It takes a multifaceted approach Visibility into supply (resources) vs demand (volumes), which is essential for your organization to understand the full picture of overall capacity and make better data-driven decisions in healthcare. Capturing the necessary information for capacity analysis can be a labor-intensive process when the data resides in multiple disparate systems (such as EHR’s, dictation systems, scheduling software, etc). 

    Centralized data and real-time dashboards enable reliable forecasting and predictive analytics, which leads to proactive scheduling, and effective capacity management. With the data analytics tools, healthcare practice leaders can analyze a variety of data as it relates to capacity planning, including:

    • Provider
    • Site
    • Exam/Procedure/Encounter Type
    • Room/Machine Utilization
    • Turnaround Times

    Armed with powerful insights, practice leaders can:  

    • Schedule providers based on forecasted capacity
    • Predict future hiring needs
    • Identify inefficiencies and implement workflow improvements
    • Plan capital expenditures for new equipment
    • Respond proactively to equipment downtime and maintenance
    • Support overall revenue projections
    • Establish capacity benchmarks and expectations

    Capacity Planning in Action

    An urban based practice of 30 physicians partnered with Quinsite to gain deeper, more actionable insights utilizing our Comprehensive Healthcare Analytics Platform™. Practice leadership expressed concerns regarding evening shift overstaffing but lacked visibility into hourly volumes, making it difficult to verify supply (physician resources) vs demand (patient volume) assumptions. Utilizing Quinsite’s Capacity Planning tool coupled with our Physician Productivity tool, the practice ultimately saved $250K by substituting one underutilized full-time evening shift physician with supplemental resources. You can read that full case study here.

    Stay on top of staffing and budget!

    With access to data-driven insights, help your organization make the most of existing resources, avoid unnecessary hires and capital expenditures, and proactively prepare for the future.

    If you are ready to make data-driven capacity planning part of your practice management strategy, Quinsite can help.


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