Medicine ATM with MediCare Website using AI: Enhancing Healthcare Accessibility

Abstract

Globally, disparities in healthcare access create significant barriers to timely medical treatment, with medication unavailability being a critical issue in underserved regions. This paper presents the Medicine ATM, an innovative automated solution engineered to bridge this gap. The system integrates a network of biomedical sensors to collect essential patient vitals, including temperature, heart rate, and oxygen saturation. Concurrently, it gathers crucial patient-reported data regarding pre-existing medical conditions and known allergies. This comprehensive dataset is transmitted securely to a centralized cloud-based MediCare website. An artificial intelligence-driven algorithm then processes this information to generate a preliminary prescription, which is subsequently subjected to mandatory review by a certified healthcare professional. Upon the doctor’s approval, the system performs a final, interactive safety confirmation with the patient before dispensing the medication. The transaction is finalized seamlessly through an integrated RF-ID payment system. The platform also features personalized user accounts for both patients and doctors, enabling continuous tracking of medical history, prescription records, and overall health engagement. This project aims to create a reliable, safe, and accessible healthcare touchpoint, particularly for communities with limited medical infrastructure.