Research Study2022

Using Public Data to Predict Demand for Mobile Health Clinics

Chen, Haipeng; Ghosh, Susobhan; Fan, Gregory; et al.

Primary Care
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Why this matters

Programs deciding where to deploy would rather predict demand than guess at it. The paper describes using publicly available data to forecast demand for mobile health clinics and guide deployment, though the abstract does not report how accurate those predictions were.

Authors
Chen, Haipeng; Ghosh, Susobhan; Fan, Gregory; et al.
Journal
Proceedings AAAI Conference on AI
Year
2022
Study design
Cross-Sectional
Setting
Multiple/Unspecified
Population
General/Unspecified
Outcome domain
Implementation/Operations
Type of organization
Academic

Abstract

This article describes using public data to predict demand for mobile health clinics, informing resource allocation and deployment decisions.

Cite this study:Chen, Haipeng; Ghosh, Susobhan; Fan, Gregory; et al. (2022). Using Public Data to Predict Demand for Mobile Health Clinics. Proceedings AAAI Conference on AI. https://doi.org/10.1609/aaai.v36i11.21513
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Metadata curated by Mission Mobile Medical. Full text is available from the publisher via the DOI link above.