Year: 2025
Type: article
Abstract: Managing patient records accurately is critical in the healthcare industry, where duplicate or outdated Medical Record Numbers (MRNs) can lead to inefficiencies, misidentifications, and compliance risks. Traditional MRN merge processes involve manual intervention, complex data validation, and multi-step reconciliation, consuming significant time and resources. This paper presents an automated MRN Merge solution that streamlines the process by integrating rule-based validation, intelligent data reconciliation, and real-time reporting. The automation framework ensures seamless mapping of old MRNs to new MRNs, verifies data integrity, and minimizes discrepancies, reducing the overall process. Through this RPA-driven MRN Merge automation, healthcare organizations can enhance data integrity, improve operational efficiency, and ensure patient record accuracy—a critical step toward a fully digitized and intelligent healthcare system.
Author: Karuppusamy Gopalan
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409646601