Localized Insight

Turning spatial data into market-leading healthcare strategy

Optimize your current market share

Spatial analysis does much more than highlight members/patients needs or steer desired outcomes in population health — it’s also key to identifying where business opportunities exist for those needs to be met, for expansion of new service lines that correspond to local market conditions, and for initiatives or campaigns to be most effective.
optimize your current market share
network providers

Identify your high-quality network providers

Spatial intelligence facilitates in-depth analysis of providers within any geographic location. Compare and assess the member populations under their care and contrast corresponding outcomes — the quality, value, cost, and satisfaction associated with both access/referrals (for your members) and results delivered (by the providers). Determine the level of care target populations are receiving, and where improvements in delivery are possible.

Provide the services that meet your members’ needs

Spatial analytics open a comprehensive window into the needs of any local market. By integrating the unique characteristics of target populations, this helps members align with the right service providers. This connection, in turn, further drives member engagement by adding layers of convenience and understanding.

healthcare costs

Uncover clinical & non-clinical factors driving your healthcare costs

Runaway costs are a constant challenge in healthcare delivery, expenses compounded because the impact of nonclinical factors are often addressed at the “last mile” of the healthcare journey, continuing the cycle of high-priced clinical care. Employing the Spatial Determinants of Health to highlight predictable risk shifts this paradigm, effectively tying social determinants to health outcomes by contextualizing the first mile instead of the last.

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.

Location data is
healthcare data.

Learn more about the new standard in healthcare analytics