Randomised crossover trial comparing the performance of Clinical Terms Version 3 and Read Codes 5 byte set coding schemes in general practice
- 22 May 2003
- Vol. 326 (7399) , 1127
- https://doi.org/10.1136/bmj.326.7399.1127
Abstract
Objective To determine whether Clinical Terms Version 3 provides greater accuracy and consistency in coding electronic patient records than the Read Codes 5 byte set. Design Randomised crossover trial. Clinicians coded patient records using both schemes after being randomised in pairs to use one scheme before the other. Setting 10 general practices in urban, suburban, and rural environments in Norfolk. Participants 10 general practitioners. Source of data Concepts were collected from records of 100 patient encounters. Main outcome measures Percentage of coded choices ranked as being exact representations of the original terms; percentage of cases where coding choice of paired general practitioners was identical; length of time taken to find a code. Results A total of 995 unique concepts were collected. Exact matches were more common with Clinical Terms (70% (95% confidence interval 67% to 73%)) than with Read Codes (50% (47% to 53%)) (P < 0.001), and this difference was significant for each of the 10 participants individually. The pooled proportion with exact and identical matches by paired participants was greater for Clinical Terms (0.58 (0.55 to 0.61)) than Read Codes (0.36 (0.33 to 0.39)) (P < 0.001). The time taken to code with Clinical Terms (30 seconds per term) was not significantly longer than that for Read Codes. Conclusions Clinical Terms Version 3 performed significantly better than Read Codes 5 byte set in capturing the meaning of concepts. These findings suggest that improved coding accuracy in primary care electronic patient records can be achieved with the use of such a clinical terminology.Keywords
This publication has 13 references indexed in Scilit:
- Studying the Human--Computer--Terminology InterfaceJournal of the American Medical Informatics Association, 2001
- Does size matter?--Evaluation of value added content of two decades of successive coding schemes in secondary care.2001
- SNOMED clinical terms: overview of the development process and project status.2001
- Evaluation of the Quality of Information Retrieval of Clinical Findings from a Computerized Patient Database Using a Semantic Terminological ModelJournal of the American Medical Informatics Association, 2000
- Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticiansStatistics in Medicine, 2000
- Evaluating the Coverage of Controlled Health Data Terminologies: Report on the Results of the NLM/AHCPR Large Scale Vocabulary TestJournal of the American Medical Informatics Association, 1997
- Phase II Evaluation of Clinical Coding Schemes: Completeness, Taxonomy, Mapping, Definitions, and ClarityJournal of the American Medical Informatics Association, 1997
- The Content Coverage of Clinical ClassificationsJournal of the American Medical Informatics Association, 1996
- Toward a Medical-concept Representation LanguageJournal of the American Medical Informatics Association, 1994
- Better Bootstrap Confidence IntervalsJournal of the American Statistical Association, 1987