International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-March 2025 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 1
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Transforming Healthcare Supply Chains: AI for Efficient Drug Distribution and Inventory Management

Author(s) Arunkumar Paramasivan
Country India
Abstract Medical supply chain networks are important for providing the proper consumer with medicine and other related products. But frequent problems such as inadequate distribution channels and stock management lead to the following: always consumers experiencing stock out higher costs expended on the same stock since most will go to waste due to expiry. This paper explores how Artificial Intelligence (AI) has been used in healthcare supply chains especially drug distribution and inventory management. These include areas like Artificial intelligence in demand forecasting, Artificial intelligence in predictive analytics, and Artificial intelligence in inventory tracking, among others. A literature review captures AI development in the context of healthcare logistics, while a coherent approach assesses deployable interventions. The results have highlighted direct gains of AI implementation including increased productivity, reduced cost, and quality improvement of patient service. Future direction and prospects are also considered, as well as longer limitations and concerns such as the need for intelligent, scalable and ethically sound models.
Keywords Healthcare Supply Chain, Artificial Intelligence, Drug Distribution, Inventory Management, Predictive Analytics, Demand Forecasting.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 14, Issue 3, July-September 2023
Published On 2023-09-06
Cite This Transforming Healthcare Supply Chains: AI for Efficient Drug Distribution and Inventory Management - Arunkumar Paramasivan - IJSAT Volume 14, Issue 3, July-September 2023. DOI 10.5281/zenodo.14551612
DOI https://doi.org/10.5281/zenodo.14551612
Short DOI https://doi.org/g8wtdh
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org