The Health Foundation of South Florida, the region’s...Read More ➔
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A growing Management Services Organization (MSO) spent countless resources continuously and manually evaluating new markets in which to establish primary care clinics. Spatially Health built a customized dashboard and map interface for the MSO by targeting specific ages of the MSO’s desired patient populations, information about prevalent chronic conditions, PCP accessibility within a radius of 20 minutes of drive time and other variables of interest to automatically calculate a Spatial Risk Score for each market it wants to evaluate. This risk score is responsive to any address. With this calculation, the MSO can easily make informed decisions about where opportunities exist for at markets need its services.
A national health plan administrator sought an analytical tool for mapping locations and relationships between primary care physicians and specialists and between specialists and hospitals. Using its understanding and indices of the Spatial Determinants of Health that affect referrals, Spatially Health developed a customized tool that identifies, graphs and maps referrals patterns and their associated costs. This tool helped the health plan administrator design a high-quality, high-performance and expanded provider network that controls costs and improves the member experience.
A nationwide health plan administrator wanted to evaluate growth opportunities for its services in different markets and have the ability to compare key data points across markets. Spatially Health provided a solution by creating an instrument that enriches client data with county-level data to focus on Medicare and age-in populations. The tool also uses data and spatial analysis to identify the number of and locations of primary care physician practices, targeted population segments, member-to-population ratios and other valuable information to assign a weighted score to prioritize those areas being considered for new business.
A Management Services Organization and health plan administrator anecdotally recognized geographic areas that had high utilization rates for healthcare services that were resulting in high costs. Spatially Health used these clients’ claims data and its proprietary understanding of the Spatial Determinants of Health to create maps and indices showing that the high costs and high utilization rates were linked to certain providers. The insights gained from these tools helped drive the development of an alternative care delivery model to lower costs and utilization rates.
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