Understanding the Appointment Durations Dashboard
Analyze appointment duration patterns to optimize scheduling, reduce delays, and improve operational efficiency.
Overview
The Appointment Durations Dashboard in DOCPACE® Insights provides a detailed view of appointment durations, encounter state durations, and trends over time. Users can analyze hourly, daily, and monthly data while applying filters for a more refined view.
Please Note: This dashboard has been renamed since the making of this video. The Delivery Analytics are now the Appointment Durations Dashboard.
Setting Date Ranges and Comparing Data
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Use the Month-to-Date filter to analyze trends within the current month.
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Set an Anchor Date (e.g., March 31st) to compare full months and observe changes over time.
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Adjust views to compare data by day, week, month, or year.
Workflow and Timestamp Filters
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Choose between:
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Clean Durations (filters out missing timestamps and duration outliers)
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Actual Durations (displays all collected data without filtering)
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Switching between these views helps identify outliers that may impact reported data.
Encounter State Breakdown
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Apply quick filters to analyze specific encounter states, including:
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Total Visit Duration
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Checkout Excluded (DOCPACE® Default)
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Exam Room Time
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Waiting Room Time
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Waiting for Provider Time
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Selecting a specific state (e.g., Exam Room Time) changes reported metrics and trend analysis.
Summary of Trends
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Analyze department, provider, and appointment type trends to identify:
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The biggest increases and decreases in duration
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The highest and lowest reported times
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Prior period comparisons (e.g., February vs. March trends)
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Example: A provider with a 174% increase in exam room time compared to the prior month may require attention.
Visit Duration Breakdown
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Provides insights into:
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Date-based trends (e.g., weekday vs. weekend performance)
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Hourly variations (e.g., peak appointment times)
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Customize data display by adjusting filters and viewing wait times or total visit duration.
Wait Time Comparison
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Compare individual days against historical data to detect scheduling inefficiencies.
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Example: If April 16th’s total visit duration is higher than average, users can compare it to other similar days.
Hourly Visit Analysis
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Displays total visits per hour, including:
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Patient volume at each hour of the day
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Total visit duration comparisons
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Performance against typical averages (e.g., comparing an average Tuesday to past Tuesdays in April)
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Key Takeaways
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Use filters and anchor dates to compare trends over time.
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Leverage clean vs. actual durations to refine analysis.
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Utilize encounter state filters to focus on key metrics.
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Review hourly and daily data to optimize scheduling efficiency.
Support
For questions or further assistance, contact insights@docpace.com. Our team is happy to help!