GeoChat AI Learn: Mapping Healthcare Access
Practical guides, tool comparisons and definitions for mapping healthcare access gaps in community health needs assessments, health department assessments and aging-services planning.
Data briefs
- Healthcare Access in 10 California Counties (2026 Data)
Older adults, uninsured rates, primary care supply and shortage-area coverage for 10 California counties, from ACS, NPPES and HRSA data.
Guides
- How to Map Healthcare Access Gaps for a CHNA
Map access gaps for a 501(r) CHNA: define the community, layer ACS need over NPPES and HRSA supply, measure ratios and drive time, and document sources.
- Community Health Assessment Mapping for Health Departments
How health departments map a community health assessment: PHAB 2026 measures, MAPP 2.0, geographies, PLACES and ACS data, access, and margins of error.
Tool roundups
- Free Tools for Mapping Healthcare Access Gaps (2026)
Free tools to map healthcare access gaps for a CHNA: HRSA HPSA Find, CDC PLACES, SparkMap, County Health Rankings, AccessMod and more, compared.
Comparisons
- GeoChat AI vs Esri ArcGIS: Which Fits Your Health Mapping?
ArcGIS is a full professional GIS for any analysis you can design; GeoChat AI is a free chat tool for healthcare supply-demand gaps. Compare fit and cost.
- GeoChat AI vs PolicyMap: Which Fits Your Access Analysis?
PolicyMap is a broad subscription data platform; GeoChat AI is a free, chat-based tool for healthcare supply-demand gaps. Compare data, cost and fit.
- GeoChat AI vs SparkMap: Which Fits Your Needs Assessment?
SparkMap builds indicator reports from menus; GeoChat AI answers healthcare access-gap questions in chat. Compare data, geography, cost and fit.
Glossary
- ACS 5-Year vs 1-Year Estimates: Which to Use
ACS 5-year estimates pool 60 months of data for every area, including tracts and ZCTAs. How they differ from 1-year data, MOEs and release dates.
- CHNA: Community Health Needs Assessment Rules
A CHNA is the assessment 501(c)(3) hospitals must do at least every three years under IRC 501(r)(3). Who must, what it contains, and how a CHA differs.
- Drive-Time Access: Isochrones, Distance and 2SFCA
Drive-time access measures travel time to care: nearest-provider distance, isochrones and 2SFCA, plus HRSA and CMS time and distance thresholds.
- HPSA: Health Professional Shortage Area Defined
A HPSA is a HRSA designation for an area, population or facility short of primary care, dental or mental health providers. Types, scoring and lookup.
- MUA/MUP: Medically Underserved Areas and Populations
MUAs and MUPs are HRSA designations for areas or groups lacking primary care, scored with the Index of Medical Underservice. How they differ from HPSAs.
- NPI and Provider Taxonomy Codes: NPPES Explained
What NPIs, entity types and NUCC taxonomy codes in NPPES mean, how to filter them, and why raw NPI counts overstate active clinicians.
- Provider-to-Population Ratio: Calculation and Benchmarks
How to calculate a provider-to-population ratio, the HRSA shortage thresholds in 42 CFR Part 5, and the counting errors that distort access-gap maps.
- ZCTA vs ZIP Code: Why They Differ and How to Map
ZIP Codes are USPS delivery routes; ZCTAs are Census areas built from blocks. Why they differ, which crosswalks to use, and common ZIP mapping errors.
About these pages
- GeoChat AI: Frequently Asked Questions
Answers about GeoChat AI: cost, data sources, provider counts, who it is for, requesting new maps and expert validation.
- GeoChat AI Data Sources and Methods
How GeoChat AI builds its maps: ACS 2020-2024 estimates, NPPES provider records, HUD and Census crosswalks, data versions in use, and known limits.