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    Area of Science:

    • Oncology
    • Healthcare Operations
    • Health Informatics

    Background:

    • Clinical schedules significantly impact healthcare resource utilization, patient wait times, and costs.
    • Accurate appointment duration allocation is essential for optimal staffing and resource management in cancer centers.
    • Dana-Farber Cancer Institute (DFCI) currently uses a consensus-based method for adjusting infusion appointment durations by regimen.

    Purpose of the Study:

    • To evaluate the accuracy of scheduled infusion appointment durations against observed durations using real-time location systems (RTLS).
    • To identify discrepancies between scheduled and actual patient appointment times in an infusion clinic setting.

    Main Methods:

    • Observed appointment durations were calculated using RTLS data at DFCI from August 1 to September 30, 2013.
    • The study focused on the top 10 administered infusion regimens, encompassing 805 patient appointments.
    • Duration was defined as the total time a patient occupied an infusion chair.

    Main Results:

    • Median observed appointment durations were statistically different from scheduled durations.
    • Observed durations were shorter than scheduled for 98% (Regimen C), 95% (Regimen I), and 75% (Regimen F) of appointments.
    • Observed durations were longer than scheduled for 77% (Regimen A) and 76% (Regimen G) of appointments, with 56% of longer (Regimen A) appointments exceeding the scheduled time by at least 30 minutes.

    Conclusions:

    • RTLS offers reliable, unbiased data for enhancing the accuracy of clinical scheduling.
    • Transitioning from consensus-based estimates to system-generated data can potentially improve clinic flow, reduce staff stress, and increase patient satisfaction.
    • Further research is necessary to understand the factors contributing to variations in infusion appointment durations.