Predictive Tools in Charity Care—Revenue vs Access

This Viewpoint discusses possible outcomes of predictive analytic tool use in charity care determinations: hospital revenue and patient debt.

Authors

Christopher W. Goodman (ORCID: https://orcid.org/0000-0003-4863-6342)
Kelsey Chalmers (ORCID: https://orcid.org/0000-0001-7291-8898)

Institutions

University of South Carolina (US)
Lown Institute (US)

Publication Details

Journal: JAMA Internal Medicine
Published: 2024-09-03
DOI: https://doi.org/10.1001/jamainternmed.2024.3564
Citations: 2
Primary Topic: Healthcare Policy and Management
Type: article
Field-Weighted Citation Impact: 2.26

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article

Predictive Tools in Charity Care—Revenue vs Access

Christopher W. Goodman, Kelsey Chalmers

Sep 3, 2024

2 citations

JAMA Internal Medicine

Healthcare Policy and Management

2.26

article

Predictive Tools in Charity Care—Revenue vs Access

Christopher W. Goodman, Kelsey Chalmers

September 3, 2024article en

2 citations

Abstract

This Viewpoint discusses possible outcomes of predictive analytic tool use in charity care determinations: hospital revenue and patient debt.

JAMA Internal MedicineVol. 184(10)

University of South Carolina (US), Lown Institute (US)

Openalex Percentile: Top 8%

Healthcare Policy and Management

2.26

DOI Source OpenAlex

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Predictive Tools in Charity Care—Revenue vs Access — Christopher W. Goodman, Kelsey Chalmers · JAMA Internal Medicine (2024) | TGRS Research Map | TGRS