MedAssist: An AI-Powered Mobile Solution for Enhanced Emergency Response and Prescription Management

Authors

  • Brahmtej Mohanty Department of CSE, School of Computing Science and Engineering, Sharda University, Gr. Noida, Uttar Pradesh –201306 Author
  • Anshuman Singh Department of CSE, School of Computing Science and Engineering, Sharda University, Gr. Noida, Uttar Pradesh –201306 Author
  • Shiva Srivastava Department of CSE, School of Computing Science and Engineering, Sharda University, Gr. Noida, Uttar Pradesh –201306 Author
  • Krishan Kumar Department of CSE, School of Computing Science and Engineering, Sharda University, Gr. Noida, Uttar Pradesh –201306 Author

Keywords:

Artificial Intelligence in Healthcare, Emergency Response Systems, Prescription Management, OCR, Predictive Analytics

Abstract

MedAssist has a mobile-based AI technology capable of dramatically increasing emergency response and enhancing prescription management in healthcare. This is often the result of overcrowding, critical time- critical decisions, or the risk of errors in medications by illegible handwritten prescriptions. The system utilizes advanced machine learning, deep learning, natural language processing and optical character recognition to address these pressing challenges. MedAssist better handles patient triage, predicts patient deterioration, and enhances the clinical decision-making and resource allocation through real-time data analysis to increase response times and increase patient flow, for emergency medical services. In prescription management, it carefully transposes handwritten medical instructions into digital text, retrieves vital information such as drug names and dosage and minimizes medication errors. Through integration of these important functions into one, user-friendly mobile platform, MedAssist has attempted to improve operational efficiency, patient safety, and providing more precise, timely and personalized healthcare services while reducing the overall burden on healthcare systems by leveraging proactive and data-driven insights.

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Published

13-03-2026

Conference Proceedings Volume

Section

Articles

How to Cite

Mohanty, B. ., Singh, A. ., Srivastava, S. ., & Kumar, K. . (2026). MedAssist: An AI-Powered Mobile Solution for Enhanced Emergency Response and Prescription Management. DMPedia Lecture Notes in Computer Science & Engineering, IMPACT26, 131-145. https://digitalmanuscriptpedia.com/conferences/index.php/DMP-LNCSE/article/view/127