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Identifying the Uncertainty in Physician Practice Location through Spatial Analytics and Text Mining.

Xuan Shi1, Bowei Xue2, Imam M Xierali3

  • 1Department of Geoscience, University of Arkansas, Fayetteville, AR 72701, USA. xuanshi@uark.edu.

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Summary
This summary is machine-generated.

Accurately identifying physicians' practice locations is crucial for healthcare access. This study introduces methods using spatial analytics, text mining, and visual examination to resolve address uncertainties, improving health workforce distribution analysis.

Keywords:
physician distributionspatial analyticsspatial uncertaintytext miningvisual examination

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Area of Science:

  • Health Services Research
  • Geographic Information Systems (GIS)
  • Data Science

Background:

  • Healthcare workforce distribution and access are significant public health concerns.
  • Accurate physician practice location data is essential for policy development and resource allocation.
  • Existing methods lack robust approaches to differentiate between physician practice and residential addresses, leading to data uncertainty.

Purpose of the Study:

  • To develop and evaluate methods for identifying and resolving uncertainty in physician practice locations.
  • To improve the accuracy of healthcare workforce distribution data.
  • To support initiatives aimed at addressing healthcare workforce shortages and maldistribution.

Main Methods:

  • Spatial analytics to compare physician addresses with parcel data.
  • Text mining to process and match address string components.
  • Land use and zoning code analysis to differentiate residential and commercial areas.
  • Visual analytics for pattern identification and data validation.

Main Results:

  • The proposed methods effectively identify and reduce uncertainty in physician practice location data.
  • Integration of spatial, textual, and visual analysis provides a more reliable method for address disambiguation.
  • Improved accuracy in practice location data enhances the understanding of healthcare workforce distribution.

Conclusions:

  • Accurate physician location identification is critical for understanding and improving healthcare access.
  • The combined approach of spatial analytics, text mining, and visual examination offers a robust solution for address uncertainty.
  • This research provides a foundation for more effective health workforce policies and interventions.