Research Methodology for Improving the Quality of Medical Record Data

Abstract

Medical record data quality is a critical component in healthcare systems, as it directly influences clinical decision-making, patient safety, and healthcare management. However, data input errors, incomplete records, and inconsistencies remain significant challenges in many healthcare institutions. This study aims to develop a structured research methodology framework to improve the quality of medical record data. The proposed methodology integrates data quality assessment dimensions, error identification techniques, and evaluation of contributing factors, including human, system, and organizational aspects. A descriptive quantitative approach is applied through observation, documentation review, and interviews. This manuscript provides a structured reporting framework without presenting unsupported empirical results, ensuring scientific validity. The proposed methodology can support healthcare institutions in implementing systematic data quality improvement strategies.