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3. Coverage Modeling and Geographic Analysis <br /> a. Utilize Geographic Information System (GIS) and computer-aided dispatch (CAD) data to <br /> model travel times, coverage areas, and response reliability. <br /> b. Evaluate current and projected service demand by time of day, geography, and incident type. <br /> c. Identify areas of overlapping coverage, response gaps, and potential opportunities for <br /> reallocation or realignment of units. <br /> d. Model "what-if' scenarios to assess the impact of station relocations, unit redeployments, or <br /> additional staffing. <br /> 4. Performance Metrics and Benchmarking <br /> a. Assess system performance using established time segments: <br /> i. Call processing, <br /> ii. Turnout, <br /> iii. Travel, and <br /> iv. Total response time. <br /> b. Compare system performance to recognized benchmarks such as NFPA 1710, CAAS <br /> standards, and county and state EMS regulations. <br /> c. Evaluate response reliability, unit hour utilization, and call-to-resource matching efficiency. <br /> d. Identify trends in call volume, workload distribution, and compliance with established <br /> performance objectives. <br /> 5. Oversight, Training, and Clinical Standards <br /> a. Review the structure and effectiveness of medical direction, clinical oversight, and quality <br /> assurance programs. <br /> b. Evaluate training standards, continuing education requirements, and certification compliance <br /> for all EMS personnel. <br /> c. Provide recommendations to strengthen medical oversight, training consistency, and clinical <br /> governance to ensure alignment with evidence-based care practices. <br /> 6. Unit Workload and Utilization Analysis <br /> a. Conduct a detailed workload analysis for all EMS units, assessing response frequency, unit <br /> hour utilization (UHU), and peak-demand periods. <br /> b. Identify areas of over- or under-utilization and their operational or financial impacts. <br /> c. Recommend workload balancing strategies that enhance reliability, reduce fatigue, and <br /> maintain operational readiness. <br /> 7. Clinical and Operational Performance Evaluation <br /> a. Assess patient care quality, clinical performance metrics (e.g., cardiac arrest survival, <br /> stroke/STEMI outcomes, pain management), and adherence to treatment protocols. <br /> b. Review incident data, QA/QI findings, and operational outcomes to identify areas for clinical <br /> and operational improvement. <br /> c. Incorporate performance indicators that align with community risk, population health, and <br /> patient outcomes. <br /> City Council 12 — 14 3/3/2026 <br />