Having completed my undergraduate studies in Biomedical Engineering, I have honed a sharp focus on healthcare innovation. Leveraging my interdisciplinary background, I've developed a strong interest in Medical Data Science, Computational Modeling, and Digital Signal Processing. With equal dedication, I've refined my skills in signal acquisition and processing through hands-on hardware experience. Furthermore, I've developed expertise in designing competitive models and mastering dataset processing and creation for system building, ensuring a balanced and comprehensive approach to engineering innovation. I am committed to continuous learning and growth, driven by a passion to advance engineering through impactful research endeavors.

AI Based Prescription Audit System:

Prescription auditing is a vital aspect of healthcare management, ensuring medication prescriptions meet established guidelines and patient requirements. Prescription errors can lead to adverse effects and increased healthcare expenses. Our AI-driven prescription audit system presents a groundbreaking solution. It surpasses the traditional manual audits, which are often laborious, slow, and error-prone, by employing sophisticated machine learning algorithms to automate the process. The system swiftly and accurately analyzes extensive datasets, pinpointing prescription inconsistencies, confirming drug dosages, detecting potential drug interactions, and maintaining compliance with clinical protocols. This automation not only bolsters patient safety but also enhances workflow efficiency, freeing healthcare providers to concentrate on quality care. Designed to serve healthcare professionals, patients, and organizations, our system aims to minimize medication errors, enhance patient outcomes, and improve resource management. Our AI-based prescription audit system is setting new standards in prescription auditing, leading to a more secure and efficient healthcare environment.

View here - https://dosage.iriic.uiu.ac.bd/