MRN Merge Automation: Transforming Healthcare Data Management

Managing patient records accurately is critical in the healthcare industry, where duplicate or outdated Medical Record Numbers (MRNs) can lead to inefficiencies, misidentifications, and compliance risks.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.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-20
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.42330
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

MRN Merge Automation: Transforming Healthcare Data Management

K. Gopalan
International Journal For Multidisciplinary Research
Artificial Intelligence in Healthcare
article

MRN Merge Automation: Transforming Healthcare Data Management

K. Gopalan
article en

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Managing patient records accurately is critical in the healthcare industry, where duplicate or outdated Medical Record Numbers (MRNs) can lead to inefficiencies, misidentifications, and compliance risks.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.

International Journal For Multidisciplinary ResearchVol. 7(2)
Ministry of Infrastructure (RW)
Openalex Percentile: Top 91%
Artificial Intelligence in Healthcare
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MRN Merge Automation: Transforming Healthcare Data Management — K. Gopalan · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS