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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 />H. 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 />