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The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example

INTRODUCTION: Intensive Care Unit (ICU) length of stay is a strong indicator of severity of illness and cost in the care of sepsis patients. In this case study, we examine the difference between an electronic health record (EHR) based submissions with Centers for Medicare and Medicaid Services (CMS)...

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Autores principales: von Recklinghausen, Friedrich Maximilian, Taenzer, Andreas, Gorman, Chrissie, Knowlton, Jay, Kinslow, Allison, Russell, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982996/
https://www.ncbi.nlm.nih.gov/pubmed/29881754
http://dx.doi.org/10.5334/egems.194
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author von Recklinghausen, Friedrich Maximilian
Taenzer, Andreas
Gorman, Chrissie
Knowlton, Jay
Kinslow, Allison
Russell, Ron
author_facet von Recklinghausen, Friedrich Maximilian
Taenzer, Andreas
Gorman, Chrissie
Knowlton, Jay
Kinslow, Allison
Russell, Ron
author_sort von Recklinghausen, Friedrich Maximilian
collection PubMed
description INTRODUCTION: Intensive Care Unit (ICU) length of stay is a strong indicator of severity of illness and cost in the care of sepsis patients. In this case study, we examine the difference between an electronic health record (EHR) based submissions with Centers for Medicare and Medicaid Services (CMS) payment data. METHODS: Member submitted EHR data contained 26,733 unique patient’s records. The CMS data contained demographics, diagnosis, and revenue codes. After linking EHR data to CMS data, we found a discrepancy in ICU days from CMS claims vs. EHR data. Our hypothesis was that removing intermediate ICU LOS would result in a closer match from CMS claims with EHR data. We suspected the use of Intermediate ICU stays in our CMS ICU definition contaminated our ICU LOS data. This resulted in a review of the sepsis specification, further investigation of the data, and follow up conversations with the Member organizations. RESULTS: Agreement between EHR and CMS data improved from 73 percent to 86 percent once the Intermediate ICU time had been removed. DISCUSSION AND CONCLUSIONS: The inclusion of Intermediate ICU in the analysis of severely ill sepsis patients from CMS data diluted the importance of using an ICU LOS for estimating the severity of illness and the cost to the healthcare system. We must ensure that clinical definitions are consistent between data sources that were built for different purposes. Additionally, we learned that engaging with clinicians, analysts, and clinical coders early in the process is required to fully understand the complexities from different sources.
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spelling pubmed-59829962018-06-07 The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example von Recklinghausen, Friedrich Maximilian Taenzer, Andreas Gorman, Chrissie Knowlton, Jay Kinslow, Allison Russell, Ron EGEMS (Wash DC) Comparative Case Study INTRODUCTION: Intensive Care Unit (ICU) length of stay is a strong indicator of severity of illness and cost in the care of sepsis patients. In this case study, we examine the difference between an electronic health record (EHR) based submissions with Centers for Medicare and Medicaid Services (CMS) payment data. METHODS: Member submitted EHR data contained 26,733 unique patient’s records. The CMS data contained demographics, diagnosis, and revenue codes. After linking EHR data to CMS data, we found a discrepancy in ICU days from CMS claims vs. EHR data. Our hypothesis was that removing intermediate ICU LOS would result in a closer match from CMS claims with EHR data. We suspected the use of Intermediate ICU stays in our CMS ICU definition contaminated our ICU LOS data. This resulted in a review of the sepsis specification, further investigation of the data, and follow up conversations with the Member organizations. RESULTS: Agreement between EHR and CMS data improved from 73 percent to 86 percent once the Intermediate ICU time had been removed. DISCUSSION AND CONCLUSIONS: The inclusion of Intermediate ICU in the analysis of severely ill sepsis patients from CMS data diluted the importance of using an ICU LOS for estimating the severity of illness and the cost to the healthcare system. We must ensure that clinical definitions are consistent between data sources that were built for different purposes. Additionally, we learned that engaging with clinicians, analysts, and clinical coders early in the process is required to fully understand the complexities from different sources. Ubiquity Press 2017-12-15 /pmc/articles/PMC5982996/ /pubmed/29881754 http://dx.doi.org/10.5334/egems.194 Text en Copyright: © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comparative Case Study
von Recklinghausen, Friedrich Maximilian
Taenzer, Andreas
Gorman, Chrissie
Knowlton, Jay
Kinslow, Allison
Russell, Ron
The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example
title The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example
title_full The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example
title_fullStr The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example
title_full_unstemmed The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example
title_short The Truth is in the Data – Differences in the Same Measure Based on Different Sources among HVHC Members Using ICU Length of Stay as an Example
title_sort truth is in the data – differences in the same measure based on different sources among hvhc members using icu length of stay as an example
topic Comparative Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982996/
https://www.ncbi.nlm.nih.gov/pubmed/29881754
http://dx.doi.org/10.5334/egems.194
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