The accuracy of real-time procedure coding by theatre nurses: a comparison with the central national system

Real-Time Operative Coding for Endoscopic Sinonasal Procedures: Quality Improvement in Practice

Objective: investigate the impact of an intraoperative coding sticker (ICS) on the accuracy of coding in endoscopic sinonasal procedures. Methods: this was a two-cycle audit evaluating the accuracy (and financial impact) of intraoperative coding of sinonasal procedures at a single tertiary centre. An ICS was introduced following consultation with the coding department. The accuracy of coding was measured before (cycle 1) and after (cycle 2) the ICS was introduced to a pilot firm and compared to a control firm. The ICS was used in 35% of the pilot firm cases. Results: the accuracy of clinical coding for endoscopic sinus surgery was 60% in the first cycle. Switching to the ICS has improved the accuracy in that firm from 50% in first cycle to 70% in the second cycle (p = 0.936; Chi-squared test). The median reimbursement for endoscopic sinus surgery was equal in both cycles of £1493.00 per patient. However, inaccurate coding resulted in £109.92 excess tariff payment in first cycle and £130.96 deficiency in the second cycle. Users of ICS reported it to be easy to use for clinicians, staff and clinical coders, whilst minimizing human error. Conclusions: The integration of the ICS improves the coding in sinonasal procedures and offers low-fidelity option alternative to live coding on the computer. The accuracy was not statistically significant in the study possibly due to the low number of observations. This can allow a precise coding standard with reliable service remuneration.

A Three-Phase Decision Model of Computer-Aided Coding for the Iranian Classification of Health Interventions (IRCHI)

Introduction:

Accurate coded data in the healthcare are critical. Computer-Assisted Coding (CAC) is an effective tool to improve clinical coding in particular when a new classification will be developed and implemented. But determine the appropriate method for development need to consider the specifications of existing CAC systems, requirements for each type, our infrastructure and also, the classification scheme.

Aim:

The aim of the study was the development of a decision model for determining accurate code of each medical intervention in Iranian Classification of Health Interventions (IRCHI) that can be implemented as a suitable CAC system.

Methods:

first, a sample of existing CAC systems was reviewed. Then feasibility of each one of CAC types was examined with regard to their prerequisites for their implementation. The next step, proper model was proposed according to the structure of the classification scheme and was implemented as an interactive system.

Results:

There is a significant relationship between the level of assistance of a CAC system and integration of it with electronic medical documents. Implementation of fully automated CAC systems is impossible due to immature development of electronic medical record and problems in using language for medical documenting. So, a model was proposed to develop semi-automated CAC system based on hierarchical relationships between entities in the classification scheme and also the logic of decision making to specify the characters of code step by step through a web-based interactive user interface for CAC. It was composed of three phases to select Target, Action and Means respectively for an intervention.

Conclusion:

The proposed model was suitable the current status of clinical documentation and coding in Iran and also, the structure of new classification scheme. Our results show it was practical. However, the model needs to be evaluated in the next stage of the research.