Repository of Research and Investigative Information

Repository of Research and Investigative Information

Zabol University of Medical Sciences

Identification of root causes of clinical coding problems in Iranian hospitals

(UNSPECIFIED) Identification of root causes of clinical coding problems in Iranian hospitals. Health Information Management Journal. p. 7. ISSN 1833-3583

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Abstract

Background Improving the quality of coded data requires the identification and evaluation of the root causes of clinical coding problems to inform appropriate solutions. Objective The objective of this study was to identify the root causes of clinical coding problems. Method Twenty-one clinical coders from three cities in Iran were interviewed. The five formal categories in Ishikawa's cause-and-effect diagram were applied as pre-determined themes for the data analysis. Results The study indicated 16 root causes of clinical coding problems in the five main themes: (i) policies, protocols, and processes (lack of clinical documentation guidelines; lack of audit of clinical coding and feedback to clinical coders; the long interval between documentation and clinical coding; and not using coded data for reimbursement; (ii) individual factors (shortage of clinical coders; low-skilled clinical coders; clinical coders' insufficient communication with physicians; and the lack of continuing education; (iii) equipment and materials (incomplete medical records; lack of access to electronic medical records and electronic coding support tools; (iv) working environment (lack of an appropriate, dynamic, and motivational workspace; and (v) management factors (mangers' inattention to the importance of coding and clinical documentation; and to providing the required staff support. Conclusion The study identified 16 root causes of clinical coding problems that stand in the way of clinical coding quality improvement. Implications The quality of clinical coding could be improved by hospital managers and health policymakers taking these problems into account to develop strategies and implement solutions that target the root causes of clinical coding problems.

Item Type: Article
Keywords: clinical coding medical record health information management data quality health classification quality improvement cause-and-effect diagram clinical documentation integrity root cause analysis quality Health Care Sciences & Services Medical Informatics
Divisions:
Page Range: p. 7
Journal or Publication Title: Health Information Management Journal
Identification Number: 10.1177/18333583211060480
ISSN: 1833-3583
Depositing User: مهندس مهدی شریفی
URI: http://eprints.zbmu.ac.ir/id/eprint/4217

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