Patient Data Management In A Commercial Clinic: Audit, Segmentation, And Data Strategy

Abstract

This article examines data management methods in a commercial medical organization. Based on an audit of the information infrastructure of a multidisciplinary clinic, the study describes procedures for patient data profiling and deduplication, develops a KPI system using the Balanced Scorecard methodology, constructs an RFM segmentation model to identify patients at high risk of churn, and proposes a phased data strategy for transitioning toward data-driven management. The paper also provides a systematic review of Data Governance frameworks and digital transformation practices in healthcare, contextualizing the clinic-level findings within broader trends in health data management.