Predictive Tools in Charity Care—Revenue vs Access-Reference-Cited by-同舟云学术

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Predictive Tools in Charity Care—Revenue vs Access

Published:2024-09-03 Issue: Volume: Page:
ISSN:2168-6106
Container-title:JAMA Internal Medicine
language:en
Short-container-title:JAMA Intern Med

Author:

Goodman Christopher W.¹,Chalmers Kelsey²

Affiliation:

1. Department of Medicine, University of South Carolina School of Medicine, Columbia

2. Lown Institute, Needham, Massachusetts

Abstract

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

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jamainternalmedicine/articlepdf/2823081/jamainternal_goodman_2024_vp_240025_1724698369.74107.pdf

Reference6 articles.

1. Artificial intelligence and machine learning in clinical medicine, 2023.;Haug;N Engl J Med,2023

2. Artificial intelligence in US health care delivery.;Sahni;N Engl J Med,2023

3. Charity care characteristics and expenditures among US tax-exempt hospitals in 2016.;Goodman;Am J Public Health,2020

4. Guiding principles to address the impact of algorithm bias on racial and ethnic disparities in health and health care.;Chin;JAMA Netw Open,2023

5. Waystar. Leveraging a propensity-to-pay solution to drive collections. Published December 3, 2020. Accessed February 5, 2024. https://www.waystar.com/blog-leveraging-a-propensity-to-pay-solution-to-drive-collections/

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