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The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data

Billing issues are more commonplace than most healthcare professionals, including pharmacists, even realize. Undercoding—or billing outpatient visits for a lower level of service than may be justified—leads to decreased reimbursement, but almost no data captures what is being sacrificed, especially...

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Detalles Bibliográficos
Autores principales: Tenpas, Andrew, Dietrich, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026023/
https://www.ncbi.nlm.nih.gov/pubmed/36950456
http://dx.doi.org/10.1016/j.rcsop.2023.100238
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author Tenpas, Andrew
Dietrich, Eric
author_facet Tenpas, Andrew
Dietrich, Eric
author_sort Tenpas, Andrew
collection PubMed
description Billing issues are more commonplace than most healthcare professionals, including pharmacists, even realize. Undercoding—or billing outpatient visits for a lower level of service than may be justified—leads to decreased reimbursement, but almost no data captures what is being sacrificed, especially at the state level. Using publicly available data from the National Ambulatory Medical Care Survey and Centers for Medicare and Medicaid Services, we attempt to approximate just how much Medicare reimbursement is lost annually to undercoding in Florida. We also discuss the hidden dangers of undercoding, including how it could hinder the ability of clinical pharmacists to build sustainable clinical services and contribute to the broader healthcare team.
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spelling pubmed-100260232023-03-21 The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data Tenpas, Andrew Dietrich, Eric Explor Res Clin Soc Pharm Article Billing issues are more commonplace than most healthcare professionals, including pharmacists, even realize. Undercoding—or billing outpatient visits for a lower level of service than may be justified—leads to decreased reimbursement, but almost no data captures what is being sacrificed, especially at the state level. Using publicly available data from the National Ambulatory Medical Care Survey and Centers for Medicare and Medicaid Services, we attempt to approximate just how much Medicare reimbursement is lost annually to undercoding in Florida. We also discuss the hidden dangers of undercoding, including how it could hinder the ability of clinical pharmacists to build sustainable clinical services and contribute to the broader healthcare team. Elsevier 2023-03-06 /pmc/articles/PMC10026023/ /pubmed/36950456 http://dx.doi.org/10.1016/j.rcsop.2023.100238 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tenpas, Andrew
Dietrich, Eric
The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data
title The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data
title_full The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data
title_fullStr The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data
title_full_unstemmed The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data
title_short The Fermi problem: Estimation of potential Billing losses due to Undercoding of Florida Medicare data
title_sort fermi problem: estimation of potential billing losses due to undercoding of florida medicare data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026023/
https://www.ncbi.nlm.nih.gov/pubmed/36950456
http://dx.doi.org/10.1016/j.rcsop.2023.100238
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