Literature DB >> 28643856

Coding in surgery: impact of a specialized coding proforma in hepato-pancreato-biliary surgery.

Jennifer Murphy1, Charlotte May1, Sara Di Carlo1, Ian Beckingham1, Iain C Cameron1, Dhanny Gomez2.   

Abstract

BACKGROUND: Coding inaccuracies in surgery misrepresent the productivity of hospitals and outcome data of surgeons. The aim of this study was to audit the extent of coding inaccuracies in hepato-pancreato-biliary (HPB) surgery and assess the financial impact of introducing a coding proforma.
METHODS: Coding of patients who underwent elective HPB surgery over a 3-month period was audited. Codes were based on International Classification of Diseases 10 and Office of Population and Census Surveys-4 codes. A coding proforma was introduced and assessed. New human resource group codes were re-assigned and new tariffs calculated. A cost analysis was also performed.
RESULTS: Prior to the introduction of the coding proforma, 42.0% of patients had the incorrect diagnosis and 48.5% had missing co-morbidities. In addition, 14.5% of primary procedures were incorrect and 37.6% had additional procedures that were not coded for at all. Following the introduction of the coding proforma, there was a 27.5% improvement in the accuracy of primary diagnosis (P < 0.001) and 21% improvement in co-morbidities (P = 0.002). There was a 7.2% improvement in the accuracy of coding primary procedures (P = not significant) and a 21% improvement in the accuracy of coding of additional procedures (P < 0.001). Financial loss as a result of coding inaccuracy over our 3-month study period was £56 073 with an estimated annual loss of £228 292.
CONCLUSION: Coding in HPB surgery is prone to coding inaccuracies due to the complex nature of HPB surgery and the patient case-mix. A specialized coding proforma completed 'in theatre' significantly improves the accuracy of coding and prevents loss of income.
© 2017 Royal Australasian College of Surgeons.

Entities:  

Keywords:  coding; liver; pancreas; surgery

Mesh:

Year:  2017        PMID: 28643856     DOI: 10.1111/ans.14076

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  3 in total

1.  Clinical coding and data quality in oculoplastic procedures.

Authors:  Valerie Juniat; Sarju Athwal; Mona Khandwala
Journal:  Eye (Lond)       Date:  2019-06-03       Impact factor: 3.775

2.  Surgeon involvement in clinical coding to improve data accuracy and remuneration in a shoulder and elbow unit.

Authors:  Steven Kyriacou; David Butt; Will Rudge; Deborah Higgs; Mark Falworth; Addie Majed
Journal:  Shoulder Elbow       Date:  2021-02-08

3.  Modeling Coding Intensity of Procedures in a U.S. Population-Based Hip/Knee Arthroplasty Inpatient Cohort Adjusting for Patient- and Facility-Level Characteristics.

Authors:  Nancy G Rios; Paige E Oldiges; Marcela S Lizano; Danielle S Doucet Wadford; David L Quick; John Martin; Michael Korvink; Laura H Gunn
Journal:  Healthcare (Basel)       Date:  2022-07-23
  3 in total

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