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Patient Appointment Access Optimization

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Databricks2025-07-01 收录
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https://marketplace.databricks.com/details/42508b42-e374-4e54-b8d8-e236fa311b6d/Health-Catalyst_Patient-Appointment-Access-Optimization
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**Overview** Healthcare organizations face ongoing challenges in balancing patient access with operational efficiency. By leveraging third next available appointment (TNAA) metrics and comprehensive access analytics, organizations can identify bottlenecks, optimize scheduling templates, and improve patient satisfaction while maintaining provider productivity. **Objective**: This analysis demonstrates how ambulatory access data enables healthcare administrators to measure and improve patient access across specialties and regions. Using TNAA as the gold standard metric, we identify patterns in appointment availability, capacity utilization, and access scores to guide strategic improvements in ambulatory operations. **Key Focus Areas**: - Specialty-level TNA performance benchmarking and access score analysis - Regional performance comparison to identify geographic access disparities - Appointment type demand patterns (urgent vs. routine vs. follow-up) - Provider efficiency analysis comparing full-time and part-time performance - Overbooking impact on access metrics and patient wait times - Temporal access patterns across days of week and months - Access score driver analysis and correlation insights - Optimization opportunity identification for clinics with poor access despite low utilization - Capacity planning recommendations based on utilization and wait time analysis **Product details** - **Schema**: `access_metrics` - **Table**: `ambulatory_access_dataset` **Key Performance Metrics**: - `third_next_available_days`: Core TNAA measurement (industry standard) - `slot_fill_rate`: Provider utilization efficiency - `access_score`: Composite patient access rating (1-10 scale) - `patients_waiting_count`: Demand pressure indicator **Organizational Dimensions**: - `clinic_region`: Geographic performance comparison - `specialty_code`: Service line analysis - `provider_key`: Individual provider performance For more details, refer to the embedded notebook.
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Health Catalyst
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