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<br /> The Hills Tandem, LLC | May 18, 2025 <br /> Staffing and Efficiency Analysis | Solution <br /> <br />Confidential and Proprietary: This proposal is intended solely for the use of the recipient organization. 17 <br /> <br />3. TECHNICAL APPROACH NARRATIVE <br />3.1. Introduction <br />The Hills Tandem presents a structured, phased, and highly collaborative approach to <br />conducting the Staffing and Efficiency Analysis for the Orange County Health <br />Department’s (OCHD) Medical and Dental Clinics. Our methodology is purpose -built for <br />public health environments and leverages the combined power of data analytics, <br />stakeholder engagement, and implementation foresight. <br />Our goal is not only to deliver a comprehensive analysis, but to provide the County with <br />an actionable roadmap for optimization, backed by data, national best practices, and <br />realistic local implementation strategies. We understand the operational complexities, <br />regulatory environment, and staffing challenges faced by health departments, particularly <br />in the wake of the COVID-19 pandemic and ongoing workforce shortages. <br /> <br />3.2. Guiding Principles <br />We approach this engagement with a commitment to delivering value that is sustainable, <br />actionable, and responsive to the realities of public health operations. Our technical <br />approach is anchored in six guiding principles that ensure the effectiveness, integr ity, and <br />relevance of every component of the staffing and efficiency analysis. <br />• Stakeholder-Informed Decision-Making : We believe that lasting solutions are built <br />through collaboration and listening. Our process will engage Health Department <br />leadership, frontline staff, administrative personnel, and relevant community <br />stakeholders to ensure the final recommendations are grounded in operational <br />reality and aligned with local priorities. From initial discovery to final presentation, <br />our approach includes mechanisms for collecting input, validating findings, and <br />ensuring shared ownership of solutions. <br /> <br />• Data-Driven Analysis: We apply both quantitative rigor & qualitative insight to <br />drive every recommendation. Using a blend of real-time operational data, staffing <br />patterns, service demand, and financial metrics, our team will identify patterns, test <br />hypotheses, and develop optimization strategies that are informed by evidence not <br />assumptions. Where possible, we integrate benchmark comparisons and predictive <br />modeling to deepen analysis. <br />Docusign Envelope ID: 698F2B7F-27BB-45C9-9CCE-04BCCB3FB4C9