Year: 2025
Type: article
Abstract: Background Emergency laparotomy is a high-cost, high-tariff procedure where accurate documentation and clinical coding are essential for appropriate NHS reimbursement. Coding inaccuracies risk substantial financial loss, particularly in resource-constrained Trusts. Aim: This audit aimed to assess the accuracy of coding in laparotomy cases and the financial impact of discrepancies. Method: A retrospective review of 30 emergency laparotomy cases over a 1-month period at a district general hospital was conducted. Operative notes and discharge documentation were cross-referenced with coding outputs to identify discrepancies. The associated revenue impact was calculated using national tariff data. Following the initial audit, an educational intervention was introduced—this included multidisciplinary discussions, posters in clinical areas, and informal teaching to raise awareness of documentation standards. A re-audit was undertaken to assess for improvement. Results Across the 30 cases, 52 distinct procedures were identified, with over 210 different codes applied. Coding discrepancies were found in a significant proportion of cases, with misrepresentation or omission of key surgical steps. The estimated monthly loss was £15,000, extrapolating to over £100,000 annually. The post-intervention audit showed improved engagement between surgical teams and coders, with early signs of progress in documentation quality and coding accuracy. Conclusions Clinical documentation has a direct and often under-recognised impact on hospital income. Even simple educational measures can support improved coding accuracy. Greater collaboration between surgical teams and coders is essential to ensure that the complexity of operative work is reflected accurately—and reimbursed fairly.
Source: British journal of surgery
Authors: Hamza Shahbaz, Suyash Acharya, Imran Alam
Institution: Wrightington, Wigan and Leigh NHS Foundation Trust
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W7117475878
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