The GeoHealth Platform
Our work in medical transportation led to our building a strong capability in Geographic Information Systems (GIS) and the development of a GIS platform with a data analytic engine. That platform has grown overtime into a fully featured Spatial Data Infrastructure (SDI) with a focus on health.
The Global Health SDI, which we call the GeoHealth Platform, can be best understood as a catalogued library that brings together all data related to health at global, national, and local levels. The GeoHealth Platform also features development, analytics, and visualization tools on which applications leveraging the data and tools can be built, hosted, and shared. With this GeoHealth Platform, HSR.health is able to support the harvesting, curating, storing, and sharing of data related to health outcomes and costs as well as the social and environmental determinants of health.
HSR.health leverages this innovative Cloud-based analytic and visualization platform to identify and address social determinants that impact health outcomes and costs.
|The GeoHealth Platform Provides:||Accessibility|
|Health, Social, & Environmental data sets with Local, National, & Global focus||Supports online, web browser, & mobile devices|
|Detailed Metadata of all data sets||Open to public and/or licenses to specific audiences|
|Powerful and flexible Data Analytic and Visualization tools||Data sets available through APIs, WMS, WFS, and direct download|
|Built on the world’s leading Cloud provider (public, private, or hybrid) & with Open Source software||Friendly user interface to visualize and query data|
|Data storage and application development environment secured by world leading cloud security platform||Can be replicated in a local environment for additional privacy and security|
The GeoHealth Platform will enable the building of innovative applications to address broad as well as specific challenges. Additionally, research, data, and possible solutions for current medical issues are streamlined onto the Platform to leverage the trends in data on healthcare costs and outcomes, as well as social determinants for health and wellness across multiple demographics, such as varying income levels, geographical areas, and cultural differences.
A number of applications are available through the GeoHealth Platform out-of-the-box:
- Health Risk Index
- Quarterly Medicare Cost Report
- Social Determinant of Health Analysis Report
- Identification of Drivers of Poor Health Outcomes and High Costs
Health Risk Index – providing a priori health data of disaster impacted populations
SDoH Tool – Identifying the social & community-based factors impacting health outcomes & costs.
HSR.health has designed numerous “Healthy Smart City” solutions that combine Internet-of-Things (IoT) and Internet-of-Medical-Things (IoMT) sensors with information from our GeoHealth Platform to produce new insights to advance healthcare and improve everyday life.
Real-time, local level conditions can be analyzed in tandem with health information, social data, environmental features, and more to offer solutions that protect citizens and reduce burdens on local resources.
The GeoHealth Platform running on a Smart City Saves Lives.
For additional information on our Healthy Smart Cities solution, please see our Health Access Blog or contact us at +1.240.731.0756.
Addressing Health Equity
The GeoHealth Platform can assess health outcomes and costs against social determinants of health (SDoH) and population demographic factors (partially listed below) to highlight health inequity in our communities.
For example, the left image below shows a high degree of correlation between Infant Mortality in Montgomery County, MD by Census tract and Educational Attainment levels in the County. The right image shows a greater correlation at the Census tract level between Infant Mortality and Majority-Minority population demographics.
HSR.health can identify and analyze the underlying factors associated with such inequity at the overall population level, or by specific subpopulation, e.g., Medicare beneficiaries. Additionally, we can track and trend changes in health data and social factors over time.
The images below show trends and estimates regarding the growth of SDoH factors (right image) within an individual hospital catchment area (e.g., Shady Grove Medical Center, left image). These can be used to identify the additional resources and service delivery capabilities required to meet anticipated healthcare needs. This will also allow for better allocation of both health and social resources to disadvantaged and at-risk communities to help mitigate and address health inequity.
As communities grow and change, it is important to identify and understand how specific risk factors have the ability to influence various health outcomes (e.g., growth in maternal health risk factors, Prince George’s County, right image). This insight allows health care systems, legislators, and community members to empower themselves and advocate for the resources needed to meet the holistic needs of the population – and therefore work towards health equity.
For additional information on our solution to address health inequity solution, please contact us at +1.240.731.0756.
Through our GeoHealth Dashboard, we have developed a dynamic routing solutions that helps hospital systems optimize mobile van solutions designed to engage their communities and reduce hospital readmissions.
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