Web GIS Application Design

You have a wealth of data and need to unlock its potential.

HealthLandscape’s expertise in developing award-winning

web-based applications can help.

Local Area Needs Analysis Tools allow you to explore multiple indicators to identify areas of need

The Population Indicators Tool allows users to set thresholds and overlay multiple indicators to identify areas of need or bright spots. Examples of HealthLandscape Population Indicators Tools include the Children’s Health and Education Mapping Tool and the Population Health Mapper.

Community Data Portals

Promote collective action through shared outcomes

Community Data Portals allow users to visualize data using charts, graphs, and maps across a variety of topics. Examples of HealthLandscape Community Data Portals include the Our Kids Network Data Portal, the Medicare Data Portal, and the Appalachia Data Portal.

Site Explorers

Focus on key metrics with an interactive dashboard

Built for comparison of sites, the HealthLandscape Site Explorer tool allows clients to compare performance of sites based on multiple metrics. Users can quickly pinpoint high-performing or low-performing sites, and hone in on the areas that need improvement at each site. Examples of HealthLandscape Site Explorers include the ACO Quality Explorer, the Hospital Readmissions Explorer, and the Nursing Home Star Ratings Explorer.

UDS Mapper

Analyzing geographic reach and impact of the federal Health Center Program

Launched in 2010, the UDS Mapper helps to highlight potential need for investment in community-level provision of primary medical, dental and behavioral health services. By combining patient data with relevant social determinants of health information, users can not only understand where patients currently come from to receive services at a health center, but also the community need based on population health and demographic measures. All data in the UDS Mapper are provided at a small-area to facilitate identification of areas of need masked at higher levels of data aggregation.