Pharmatrack Innovations Advanced Pharmacy App Enhancing Efficiency, Compliance, and Management with AI & ML

Pharmacies play a vital role in healthcare by managing drug storage, distribution, and administration, but operational inefficiencies hinder productivity. Manual processes, dispensing errors, outdated medications, and inventory mismanagement create significant challenges. This project leverages AI-driven tools and machine learning (ML) algorithms to modernize pharmacy operations, ensuring regulatory compliance, streamlined inventory management, and improved collaboration. The core AI-powered application predicts seasonal pharmaceutical demand using weather data and analyzes inventory patterns to prevent stock shortages and overstocking. It features automated dosage control, restricting high-dosage medication sales without a doctor's approval, and news extraction to keep pharmacists updated on medical trends. Additionally, it supports pharmacy collaboration, allowing chains to share resources and automates inventory updates, ensuring real-time availability of new drugs. Other key features include billing automation, secure client data management, and expiration tracking to prevent outdated medications from being dispensed. By integrating AI, ML, and automation, Pharmatrack enhances efficiency, patient safety, and pharmacy profitability. It transforms traditional pharmacy operations into a cost-effective, technology driven system, ensuring seamless management, regulatory adherence, and improved patient satisfaction.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11020244
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Pharmatrack Innovations Advanced Pharmacy App Enhancing Efficiency, Compliance, and Management with AI & ML

G Hema, Nandkumar Devi, Shiv Kumar, Architha Rajeswaran
Big Data and Business Intelligence
article

Pharmatrack Innovations Advanced Pharmacy App Enhancing Efficiency, Compliance, and Management with AI & ML

G Hema, Nandkumar Devi, Shiv Kumar, Architha Rajeswaran
article en

Abstract

Pharmacies play a vital role in healthcare by managing drug storage, distribution, and administration, but operational inefficiencies hinder productivity. Manual processes, dispensing errors, outdated medications, and inventory mismanagement create significant challenges. This project leverages AI-driven tools and machine learning (ML) algorithms to modernize pharmacy operations, ensuring regulatory compliance, streamlined inventory management, and improved collaboration. The core AI-powered application predicts seasonal pharmaceutical demand using weather data and analyzes inventory patterns to prevent stock shortages and overstocking. It features automated dosage control, restricting high-dosage medication sales without a doctor's approval, and news extraction to keep pharmacists updated on medical trends. Additionally, it supports pharmacy collaboration, allowing chains to share resources and automates inventory updates, ensuring real-time availability of new drugs. Other key features include billing automation, secure client data management, and expiration tracking to prevent outdated medications from being dispensed. By integrating AI, ML, and automation, Pharmatrack enhances efficiency, patient safety, and pharmacy profitability. It transforms traditional pharmacy operations into a cost-effective, technology driven system, ensuring seamless management, regulatory adherence, and improved patient satisfaction.

Intel (India) (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Big Data and Business Intelligence
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Pharmatrack Innovations Advanced Pharmacy App Enhancing Efficiency, Compliance, and Management with AI & ML — G Hema, Nandkumar Devi, et al. · (2025) | TGRS Research Map | TGRS