Rising healthcare costs have become a preeminent topic of discussion in recent years among policy makers, researchers, and practitioners alike. Aside from the unsustainable trajectory of costs in relation to the national budget and fiscal austerity crises, the burden has dampened the reach of economic recovery efforts in distressed post-industrial cities such as Camden, New jersey. Over the years, the city’s hospital emergency departments have seen a disproportionate number of people reporting with conditions most efficiently treated and best suited to receive attention within a primary care setting. A fragmented and ill-incentivized system of care has lead to patients lost in navigating their way through what is simultaneously the most advanced and costliest healthcare system in the world. This study will attempt to analyze and evaluate a local grass-roots initiative charge lead by the Camden Coalition of Healthcare Providers (CCHP). In particular, CCHP’s Care Management Program targets the so-called “high service utilizer” population across the City of Camden. Predominantly lower income and minority, these individuals (and their families) face a variety of medical and environmental hardships each day. As a result, a relatively narrow subsection of patients account for a great proportion of the overall frequency in emergency room visits in the city, in great part due to haphazard and uncoordinated care patterns, to a substantial detriment to municipal financial resources. The initial findings show that the program has resulted in a meaningful reduction in unnecessary emergency room visits since its institution in 2007. Furthermore, the paper delves into finding a more meaningful conceptualization and measurement of a level of self-empowerment and health capital creation within selected neighborhoods targeted by the CMP program. The paper ends with policy implications for public health by elucidating some of the ways that such interventions or high-patient-impact approaches are achieving better health outcomes through better utilization of data while leading to a sustaining downward bent of the cost curve in healthcare.