Eliminating Duplicate Medical Records: How Modern Solutions are Revolutionizing Healthcare Data Management

The healthcare industry faces persistent challenges with duplicate patient records, a critical issue that compromises care quality, patient safety, and operational efficiency. This article examines how innovative technology solutions are revolutionizing healthcare data management through innovative approaches to resolving record duplication. It explores the limitations of traditional probabilistic matching algorithms and presents the evolution toward deterministic solutions that actively engage patients in the identity verification process. Through verification features and groundbreaking decentralized identity management systems, modern solutions are transforming how healthcare organizations manage patient identities. Cloud infrastructure provides the essential foundation for these solutions, offering security, compliance, availability, and scalability crucial for healthcare applications. A real-world case study demonstrates significant improvements in record accuracy, registration efficiency, reduced redundant testing, decreased claim denials, and enhanced patient portal engagement. These innovations represent a paradigm shift in healthcare data management, moving from retrospective duplicate resolution to preventative approaches that address the root causes of record fragmentation.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-25
DOI
https://doi.org/10.32996/jcsts.2025.7.2.52
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eliminating Duplicate Medical Records: How Modern Solutions are Revolutionizing Healthcare Data Management

Chandra Sekhara Reddy Adapa -
Journal of Computer Science and Technology Studies
Ethics in Clinical Research
article

Eliminating Duplicate Medical Records: How Modern Solutions are Revolutionizing Healthcare Data Management

Chandra Sekhara Reddy Adapa -
article en

Abstract

The healthcare industry faces persistent challenges with duplicate patient records, a critical issue that compromises care quality, patient safety, and operational efficiency. This article examines how innovative technology solutions are revolutionizing healthcare data management through innovative approaches to resolving record duplication. It explores the limitations of traditional probabilistic matching algorithms and presents the evolution toward deterministic solutions that actively engage patients in the identity verification process. Through verification features and groundbreaking decentralized identity management systems, modern solutions are transforming how healthcare organizations manage patient identities. Cloud infrastructure provides the essential foundation for these solutions, offering security, compliance, availability, and scalability crucial for healthcare applications. A real-world case study demonstrates significant improvements in record accuracy, registration efficiency, reduced redundant testing, decreased claim denials, and enhanced patient portal engagement. These innovations represent a paradigm shift in healthcare data management, moving from retrospective duplicate resolution to preventative approaches that address the root causes of record fragmentation.

Journal of Computer Science and Technology StudiesVol. 7(2)
Openalex Percentile: Top 88%
Ethics in Clinical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Eliminating Duplicate Medical Records: How Modern Solutions are Revolutionizing Healthcare Data Management — Chandra Sekhara Reddy Adapa - · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS