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An open-source application for self-service, Health Insurance and Portability Accountability Act-compliant geocoding.

Harpreet Gill1, Kevin Power1, Catherine Jackson1

  • 1Research Informatics, Children's Mercy Kansas City, Kansas City, MO, USA.

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Summary
This summary is machine-generated.

A new user-friendly platform simplifies place-based analysis using the DeGAUSS application, enhancing research on population health and social determinants of health. This tool provides automated geomarker generation via an API, making geographic data more accessible.

Keywords:
Geocodingsocial determinants of healthsoftwarespatial analysis

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Area of Science:

  • Geographic Information Systems (GIS)
  • Public Health Informatics
  • Health Services Research

Background:

  • Population health and social determinants of health (SDOH) research necessitate precise geographic data.
  • Existing tools like DeGAUSS offer powerful place-based analysis but have complex interfaces.
  • A need exists for simplified access to geocoding and geomarker generation for researchers.

Purpose of the Study:

  • To develop a user-friendly, DeGAUSS-based application simplifying place-based analysis.
  • To enable automated geomarker generation through an API modality.
  • To improve accessibility of geographic data for health research.

Main Methods:

  • Developed a self-service platform integrating the DeGAUSS application with user authentication.
  • Implemented an API for high-volume geocoding transactions.
  • Deployed the platform at Children's Mercy and the University of Kansas Medical Center.
  • Collected user feedback through surveys.

Main Results:

  • The platform processed over 2 million addresses via the UI and 15 million via API.
  • Users reported high satisfaction with the system.
  • Key features utilized include core geocoding, census block groups, deprivation index, and drive times.
  • Primary applications included population health (80%), SDOH (80%), and health equity (70%).

Conclusions:

  • The self-service geomarker application successfully simplifies place-based analysis for researchers.
  • The API modality facilitates high-volume geocoding, supporting large-scale health research.
  • Enhanced accessibility to geographic data empowers research in population health and SDOH.