IoT-Integrated Smart Pill Dispensers for Waste-Free Medication Distribution

Authors

  • T. Rama Rao Department of Pharmaceutics, CMR College of Pharmacy, Hyderabad, Telangana, India
  • G.S. Sharma Department of Pharmaceutics, CMR College of Pharmacy, Hyderabad, Telangana, India

Keywords:

Medication, healthcare system, blockchain, HIPAA, GDPR, FDA guidelines, IoT monitoring, biometric authentication, AI algorithms

Abstract

Medication non-adherence and pharmaceutical waste are currently becoming more and more common about efficiency in the healthcare system and environmental sustainability. IoT-integrated smart pill dispenser is a proposed solution that makes use of AI-driven predictive analytics to improve medication adherence and reduce drug wastage. In application to real life, the system is based on real-time IoT monitoring, biometric authentication, and blockchain-based prescription tracking are used for secure and personal medication dispensing. The patient adherence patterns can be analyzed by using AI algorithms, which adjust the refills as needed and avoid excess stockpiling of drugs. Additionally, the system speaks to healthcare providers and pharmacies to complete the prescription and make prescription checks automatic, eliminating fraudulent prescriptions to comply with global regulatory rules like HIPAA, GDPR, and FDA guidelines. Therefore, the dispenser includes an automated expired detection and return mechanism to enable legal and eco-friendly disposal of unused medications. The paper also considers the legality and ethics of AI-based handling the medication, so it would not provoke drug distribution and privacy laws infringement. The results of experiments equally demonstrate improved adherence rates, reduced pharmaceutical waste, and increased security for the prescription. It is a significant step to legal, technology-supported medication distribution and has the potential to change the landscape of how automation, sustainability, and regulatory adherence change healthcare. It will also explore future work on strengthening the policy recommendations for widespread legal adoption of AI.

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Published

2025-03-01