HealthLandscape.org - is an interactive web atlas that brings together various sources of health, socio-economic and environmental information in a convenient, central location to help answer questions about and improve health and healthcare. HealthLandscape.org serves as the platform for all of HealthLandscape's mapping tools, which are listed below.
Med School Mapper - The Med School Mapper allows for the understanding of the local and regional impact of medical schools using geographic and policy analyses of individual medical schools' graduates.
Residency Footprinting Mapper depicts the historical relationship between a program and its community, state, and region. The areas incorporated in the 70% threshold footprint have most consistently attracted program graduates and may not have had as many family physicians if the program had not existed. In this regard, the footprint may indicate an area's measure of dependence on the program for its family physicians. Areas with graduates that are outside the footprint are not unimportant, as many may be underserved areas. Residency programs can use these maps for internal reflection about whether they are fulfilling their missions, and to demonstrate their value to hospital and community leaders.
Health Workforce Mapper - This tool illustrates the distribution of healthcare workforce and allos for comparisons of physicians and non-physicians.
GME Outcomes Mapper allows you to explore graduate medical education (GME) outcomes for sponsoring institutions and primary teaching sites. Select your state, search for your program, or filter by a variety of variables in the right-hand column, and then download the data you need.
The Accountable Care Organization (ACO) Quality Explorer is an interactive mapping tool that presents data for 211 ACOs taking part in the Medicare Shared Savings Program (MSSP). The ACO Explorer allows users to visualize 33 quality metrics across five domains, which are compared against benchmarks set by the Centers for Medicare and Medicaid (CMS). Users immediately see whether an ACO is above, within range, or below quality benchmarks, designated by green (above), yellow (within range), or red (below) circles displayed on a map. When users click on a specific site, fly-out menus appear that give more detail about the measures that make up each of the five domains, allowing easy comparison of quality measures across ACOs. In addition, the ACO Quality Explorer allows for statistical analyses that enable users to explore the relationships between ACO quality metrics and population health indicators at the county level.
The Hospital Readmissions Explorer is an interactive mapping tool that allows users to quickly compare readmissions for U.S. hospitals. Hospitals are colored red, yellow, or green â€“ based on whether hospitals have readmissions worse, no different, or better than national average for all-cause readmissions and for the individual diagnosis of Heart Failure, Heart Attack (AMI), Pneumonia, COPD, Stroke, and Hip/Knee Replacements. Mortality data have also been added which allows users to explore readmissions and mortality rates. Users can also filter by whether a hospital was fined for excess readmissions in 2015, received a penalty as part of the Hospital Value-Based Purchasing (HVBP) Program, and by State. In addition, users can use the Stats tool to perform statistical analyses to explore relationships between hospital readmissions and mortality rates and population health indicators for the county in which the hospital is located.
The Hospital Value Based Purchasing (HVBP) Explorer is an interactive mapping tool that presents data from the Hospital Value-Based Purchasing (HVBP) Program. The HVBP Program adjusts hospital payments for Medicare based on hospital performance across four domains of quality: clinical processes of care, patient experience of care, outcomes (includes mortality rates and patient safety indicators), and efficiency (Medicare spending per beneficiary). HealthLandscape created the Hospital Value-Based Performance (HVBP) Explorer as an interactive mapping tool that allows users to visualize the geographic variation of the four quality domain scores, spending scores, and total performance score for U.S. hospitals. Hospitals are displayed as points colored red (lowest quartile of hospitals), yellow (second and third quartile of hospitals), or green (fourth quartile of hospitals), allowing users to quickly compare performance across hospitals. Users can also filter the data displayed on the map based on whether hospitals received a penalty for having a low total performance score or excess readmissions. In addition, users can use the Stats tool to perform statistical analyses to explore relationships between hospital performance scores and population health indicators for the county in which the hospital is located.
The Nursing Home Star Ratings Explorer is a user-friendly spatial visualization tool for Nursing Home Compare data for U.S. nursing homes. Each nursing home is displayed as a red, yellow, or green point on the map based on its overall quality star-rating, allowing users to quickly compare the quality of neighboring nursing homes. When a user moves their mouse over a point, the nursing home name, address, and the star-ratings for the nursing homeâ€™s staffing, health inspections, quality measures, and overall ratings are displayed in windows on the screen. Users are able to filter the selection of nursing homes displayed on the map by ownership, provider type, or state, and have the option to view the data displayed on the map in a table format. In the Stats tab, users can examine the correlation between nursing home characteristics and community demographic and health data for the county in which the nursing home is located. The Nursing Home Compare Explorer is a very useful tool for quickly comparing multiple nursing homes and provides an important spatial visualization component for the Nursing Home Compare data.
The Children's Health and Education Mapping Tool allows users to harness the power of geographic information systems (GIS) for data-driven decision-making. County-level data can be searched, mapped, downloaded, and compared, and high need areas can be identified. Schools and school-based health centers (SBHCs) can be mapped, filtered, and key characteristics can be displayed. This tool is the result of a collaboration between the School-Based Health Alliance and HealthLandscape.
The Population Health Mapper The Centers for Disease Control and Prevention (CDC) created a resource guide of the most frequently recommended health outcomes and determinants, the Community Health Assessment for Population Health Improvement. Using this guide as a framework, HealthLandscape created the Population Health Mapper, which includes the majority of the Health Outcome and Health Determinant Metrics identified in the report at the county level. The Mapper allows users to select metrics from seven categories (Mortality, Morbidity, Health Care, Health Behaviors, Demographics, Social Environment, and Physical Activity) and use a slider bar to set thresholds. By default, thresholds are set at values that represent national benchmarks. The tool will highlight those counties that are outside of the national benchmark, or will incrementally shade or remove counties depending on how the user modifies the thresholds for selected indicators. Darker gradations of color will indicate which counties are outside of the established thresholds for multiple indicators. Users can also view a histogram that shows the number of counties outside of thresholds by the number of indicators, allowing users to quickly filter by the number of indicators that are outside of the established thresholds.
The Social Determinants of Health (SDOH) Mapper is a cold-spotting tool that can assist in identifying these areas of need. The Mapper contains several census tract-level social determinants of health indicators, which are grouped into four main categories (Education, Demographics, Language Use & Linguistic Isolation, and Income & Poverty), that can be layered based on thresholds set by the user. After selecting a county from the dropdown list, users select their desired indicators and use a slider bar to set thresholds that will highlight those census tracts that are outside selected thresholds, or will incrementally shade or remove census tracts depending on how the user modifies the thresholds for selected indicators. Darker gradations of color will indicate which census tracts are outside of the established thresholds for multiple indicators. Users can also view a histogram that shows the number of census tracts outside of thresholds by the number of indicators, allowing users to quickly filter by the number of indicators that are outside of the established thresholds. Users also have the option of using Metro version of the Social Determinants of Health Mapper, which maps census tracts for Metropolitan regions (click on Tools, turn off Social Determinants (County), and turn on Social Determinants (Metro).
Facts Matter (Greater Cincinnati Data Portal) is an online gateway to information about the Greater Cincinnati/Northern Kentucky region. Facts Matter provides users with specific data about how the regional community is doing in the critical areas of population, the status of children of youth, educational attainment, health, the economy, and social relations. The tool is designed to expand the Greater Cincinnati community's access to data related to ongoing activities of regional collective impact efforts. The tool is a result of the collaborative effort between the United Way of Greater Cincinnati, the Greater Cincinnati Foundation, Interact for Health (formerly the Health Foundation of Greater Cincinnati), the U.S. Bank Haile Foundation, Agenda 360, Vision 2015, Northern Kentucky University, the STRIVE Partnership,the University of Cincinnati's Institute for Policy Research, and HealthLandscape.
North Carolina Health Information Portal (NC-HIP) is a web-based application designed to provide new insights from large public and private databases. The site allows users to geo-locate information from health and demographic databases along with their own uploaded data. The tool includes data on numerous topics from a wide variety of sources, including Medicaid data from the Community Care of North Carolina, Medicare data from the Centers for Medicare and Medicaid, and social determinants of health data from the U.S. Census Bureau, the Robert Wood Johnson County Health Rankings, and the NC State Center for Health Statistics. The tool is a result of the collaborative effort between CCNC, the NC Institute for Public Health, HealthLandscape, and the Robert Graham Center.
The Medicare Data Portal is a powerful tool for visualizing and understanding Medicare data, giving users easy access to an array of hospital referral region (HRR) and county-level Medicare indicators that can be displayed as maps, tables, bar charts, or trend graphs. Users can also examine the relationship between two health indicators by creating side-by-side and comparison maps. The Medicare Data Portal contains a wide variety of Medicare data, including multiple years of indicators from the Geographic Variation in Medicare Spending and Utilization database and the Chronic Conditions Warehouse from the Centers for Medicare and Medicaid Services. These data have been supplemented with Medicare indicators from the Dartmouth Atlas, including data related to Medicare Reimbursements, Primary Care Access & Quality, Post-Discharge Events, Hospital Discharges, Prescription Drug Use, and End of Life Care.
The Appalachia Data Portal is an online data visualization tool for exploring demographic, education, income, and health disparities for the 420 counties in the Appalachian region. The data included in the Appalachia Data Portal come from a variety of sources, including the American Community Survey, the Appalachian Regional Commission, the Robert Wood Johnson County Health Rankings, and the Centers for Medicare & Medicaid. The tool allows users to visualize economic, demographic, and other types of data for the Appalachian region using maps, graphs, and trend charts. Users also have the ability to examine the relationship between two indicators (for example, Diabetes and Poverty) with side-by-side maps and a comparison tool that uses percentiles to visualize the relationship between variables. The Appalachia Data Portal provides an array of tools for exploring population health throughout the Appalachian region, and can be useful for identifying health disparities and bright spots within the region.
World Health Data Portal is a novel tool that provides easy access to an array of country-level Global Health data for those interested in global health and understanding better the world around them. AAFP members interested or involved in expanding the model of Family Medicine will be particularly interested in data recently gathered by Graham Center Fellow John Parks and others on the status of Family Medicine in each of the world's nations. These data have been paired with population health indicators from the World Bank's World Development Indicators Catalog and OECD Health Database to provide context for understanding Family Medicine's growth worldwide.
HealthLandscape Australia displays a range of data relating to measures of health outcomes, healthcare workforce, sociodemographics, administrative boundaries and places of interest.
Our Kids Network (OKN) Data Portal is a doorway to information about Halton children, youth, and families. Users will find community and neighborhood-level information, demographics, OKN research data on health, safety, education, developmental assets, Census data, and more.
Hamilton County AHEAD is an effort to share public health data with the community. The goal of the program is to use available data to improve the understanding of the health issues that affect local communities. The first step in advancing the health status is to understand local trends associated with disease and injury. Users are able to view charts, maps, and tables for select health indicators from four categories (Maternal and Infant Health, Mortality, Communicable Disease, Injury) within Hamilton County communities.