Authors :
Shrikant A. Shinde; Akanksha Tilekar; Shrutika Raikwad; Sanika Bishnoi; Yashaswini Mahajan
Volume/Issue :
Volume 8 - 2023, Issue 3 - March
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/414Nwum
DOI :
https://doi.org/10.5281/zenodo.7825123
Abstract :
The pharmacy management system, also known
as the pharmacy information system, is a system that
stores data and enables functionality that organizes and
maintains the medication used within pharmacies. The
purpose of Medical Store Management System is to
automate the existing manual system by the help of
computerized equipment’s and full-fledged computer
software, fulfilling their requirements, so that their
valuable data/information can be stored for a longer
period with easy accessing and manipulation of the same.
Currently, machine- learning (ML) algorithms are
valuable for pharmacy management system. This provides
the local entrepreneurs with a complete tech suite to run
and automate their business operations. Pharmacy
management system includes features like Web-based
ordering systems, Stock organization and counting,
Medication ordering, Reporting, E-prescribing, Automatic
compound pricing and billing. The paper reviews the
existing literature on the topic and provides insights into
the future of machine learning in pharma management
stores. Overall, the survey paper aims to provide a
comprehensive overview of the current state of machine
learning- based pharma management stores and highlight
their potential impact on the pharmaceutical industry.
Keywords :
Machine-Learning Algorithms, Automatic Compound Pricing,Pharmacy Management System.
The pharmacy management system, also known
as the pharmacy information system, is a system that
stores data and enables functionality that organizes and
maintains the medication used within pharmacies. The
purpose of Medical Store Management System is to
automate the existing manual system by the help of
computerized equipment’s and full-fledged computer
software, fulfilling their requirements, so that their
valuable data/information can be stored for a longer
period with easy accessing and manipulation of the same.
Currently, machine- learning (ML) algorithms are
valuable for pharmacy management system. This provides
the local entrepreneurs with a complete tech suite to run
and automate their business operations. Pharmacy
management system includes features like Web-based
ordering systems, Stock organization and counting,
Medication ordering, Reporting, E-prescribing, Automatic
compound pricing and billing. The paper reviews the
existing literature on the topic and provides insights into
the future of machine learning in pharma management
stores. Overall, the survey paper aims to provide a
comprehensive overview of the current state of machine
learning- based pharma management stores and highlight
their potential impact on the pharmaceutical industry.
Keywords :
Machine-Learning Algorithms, Automatic Compound Pricing,Pharmacy Management System.
