Literature DB >> 30082135

Improving the mortality index by capturing patient acuity through interprofessional real-time documentation improvement in a single hospital system.

Chelsea R Horwood1, Tina Latimer1, Ciarán J Powers1, Susan D Moffatt-Bruce1, G D Rushing1, Daniel S Eiferman2.   

Abstract

BACKGROUND: The observed to expected mortality ratio is a standardized way for reporting inpatient mortality and is used as a measure for hospital quality rankings and Centers for Medicare & Medicaid Services value-based payments. The goal of this study is to describe a single institution's mortality index improvement initiative through improved documentation of patient severity.
METHODS: Data were prospectively collected October 2016 through May 2017 on patients discharged from the acute care surgery, open heart surgery, neurosurgery, and University Hospital East. Mortalities were reviewed by a multidisciplinary committee for missed coding opportunities. These captured codes were adjusted based on the Vizient risk-adjustment model for mortality and the observed to expected mortality ratio was calculated.
RESULTS: Every service reviewed showed improvement in the expected mortality rate. Additional coding opportunities were present in 55.6% of acute care surgery, 24.3% of neurosurgery, 18.3% of open heart surgery, and 35.3% of University Hospital East cases. A total of 70 codes were improved during the 8-month period. The acute care surgery service showed the most improvement, with a 0.45 improvement in the observed to expected mortality ratio, followed by neurosurgery, with 0.43 improvement.
CONCLUSION: Institutional observed to expected mortality ratio can be improved by targeting high-acuity services and capturing coding opportunities, leading to improvement in value-based payments and rankings.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30082135     DOI: 10.1016/j.surg.2018.04.045

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  1 in total

1.  MedCDI: A technology-based documentation and quality improvement initiative in neurosurgery.

Authors:  Mokshal H Porwal; Christina N Feller; Devesh Kumar; Julie Kolinski; Grant P Sinson
Journal:  Surg Neurol Int       Date:  2022-06-23
  1 in total

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