Medical directors face unique operational challenges when planning coverage schedules and resources. They have to take into account considerable variability in patient volumes on an hourly, weekly or annual basis. Tool for Optimizing Provider Schedules, or TOPS, employs the principal of granular data, statistical modeling and user-friendly visuals to provide medical directors with a solution tailored to meet their needs.
Changing patterns in patient arrivals are intuitively displayed on the TOPS dashboard by hour, week or year. Multiple scenario views allow medical directors to determine the possible outcomes of different situations and their effect on capacity, patient flow and financial viability.
The solution’s auto optimizer accepts input directly from the medical director in order to reflect the unique coverage parameters of an organization. TOPS then performs complex analytics functions for the user, seamlessly creating shift models that optimally align with historical demand.
Learn more about how data can be leverage to ensure adequate staff coverage and decrease patient wait times. Download Whitepaper
Shift productivity profiles are sculpted by real-world processes, rather than unrealistic averages that do not accurately capture the true hour-to-hour variability of shifts. Using this data, TOPS aligns provider capacity with patient demand. For instance, patients that can be seen by mid-level practitioners are put in one category and those who require physician care are placed in another. This ensures that the most suited provider is available to meet a specific patient’s needs.
Demand within the various departments of a busy hospital is measured using details drilled down to the smallest available data set for improved accuracy and precision. By focusing on narrowed data sets, we can more accurately represent variations in patient acuity levels, patient age and types of visits to identify trends that help determine optimal staffing for a specific timeframe.