Improving accuracy of clinical coding in surgery: collaboration is key.

Area of Science:

• Healthcare Management
• Medical Informatics
• Surgical Outcomes

Background:

• Clinical coding data are foundational for Hospital Episode Statistics and Healthcare Resource Group codes.
• Accurate clinical coding is essential for financial reimbursement, resource allocation, and public health planning.
• This study assessed the accuracy of clinical coding in general surgical admissions within Northwest England hospitals.

Purpose of the Study:

• To determine the accuracy level of clinical coding for general surgical admissions.
• To identify the types and frequency of coding errors.
• To understand the implications of coding errors on healthcare data and resource allocation.

Main Methods:

• A total of 208 emergency general surgical patients were identified from seven hospital trusts.
• Blinded re-coding was conducted by a senior clinical coder and clinician.
• Original and re-coded data were compared, using OPCS-4 and ICD-10 codes.

Main Results:

• A high rate of coding errors was observed, with 93.3% of cases having at least one error.
• Errors in primary diagnosis codes occurred in 30.8% of cases, and primary procedure codes in 21.9%.
• The most common reasons for errors were 'coder error' and the need for 'clinical interpretation of notes'.

Conclusions:

• Clinical coding errors are multifactorial and significantly impact primary diagnosis accuracy.
• These inaccuracies can affect Hospital Episode Statistics, healthcare resource allocation, and public health planning.
• Enhanced collaboration between surgeons and coding departments is recommended to improve system robustness.