@Article{M-10129,
AUTHOR = {Patel, Aditya},
TITLE = {Comprehensive Solution for Resolving Master Data Management Issues in Electronic Medical Records (EMR) Systems},
JOURNAL = {Scientific Research Journal of Medical and Health Science},
VOLUME = {2},
YEAR = {2024},
NUMBER = {1},
ARTICLE-NUMBER = {M-10129},
URL = {https://isrdo.org/journal/SRJMH/currentissue/comprehensive-solution-for-resolving-master-data-management-issues-in-electronic-medical-records-emr-systems},
ISSN = {2584-1521},
ABSTRACT = {Master Data Management (MDM) issues in Electronic Medical Records (EMR) systems, such as inconsistent drug information, pose significant challenges for healthcare providers. This paper outlines a comprehensive solution to these issues by implementing advanced data standardization, normalization, and matching techniques. The solution leverages machine learning algorithms, Natural Language Processing (NLP), and robust database management practices to ensure accurate, reliable, and consistent master drug lists.},
DOI = {}
}