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Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions
Vera Alonso1,2, João Vasco Santos3,4,5, Marta Pinto4,6,7
1Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal. vera.alonsop@gmail.com.
Clinical coding quality is crucial for hospital financing. This study identified issues like document variability and illegible handwriting, proposing solutions such as electronic coding and standardized documentation to improve data accuracy.
Area of Science:
- Health Informatics
- Medical Coding Quality Assurance
Background:
- Coded data, including administrative and clinical information, are fundamental for hospital reimbursement systems globally, often utilizing Diagnosis Related Groups (DRG).
- Ensuring the quality of coded data is essential for improving data usability, enhancing patient outcomes, and optimizing healthcare financing.
Purpose of the Study:
- To explore the challenges and barriers impacting the quality of the clinical coding process.
- To identify potential solutions for improving clinical coding accuracy and efficiency.
Main Methods:
- Qualitative study involving ten medical coders from four public hospitals in Portugal.
- Focus group sessions were conducted, audio-recorded, transcribed, and analyzed thematically.
- Problem identification was informed by existing literature and expert knowledge.
Main Results:
- Identified problems include variability in coding documents, illegible handwriting, transcription errors, diagnostic coding difficulties, and delays.
- Unavailability of adequate resources and tools for coders was also a significant barrier.
- Coders highlighted issues stemming from the manual transcription process.
Conclusions:
- Standardizing coding documents, adopting electronic coding systems, and developing supportive tools are key solutions.
- Implementing regular audits and gaining management recognition for the importance of coding are crucial for data quality improvement.
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