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Med Intel: An AI-Based Healthcare Pharmacy Management System with Intelligent Prescription Recognition and Drug Safety Verification
Authors
1 Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India. 2 3 4 5 Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India.
Article Information
- Published In
- Volume 6, Issue 6 (2026)
- Published Online
- November-December 2026
- Pages
- 01-05
- Article Type
- Original Article
- Check for updates
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References
1. A. S. Arora, S. K. Bhatia, and R. Kaur, "Automated prescription reader: A review," *Int. J. Comput. Appl.*, vol. 175, no. 8, pp. 9-14, 2020.
2. D. K. Jain, P. K. Singh, and A. Khanna, "A comprehensive survey on OCR research," *J. King Saud Univ.-Comput. Inf. Sci.*, vol. 34, no. 6, pp. 2943-2963, 2022.
3. F. Cheng, L. Zhao, and W. Zhang, "Deep learning-based drug-drug interaction prediction: A comprehensive review," *Brief. Bioinform.*, vol. 24, no. 2, p. bbac540, 2023.
4. S. K. Sahoo, S. B. Pradhan, and A. K. Behera, "Handwritten prescription recognition using deep learning," *Proc. IEEE Int. Conf. Signal Process. Commun. (SPCOM)*, pp. 1-5, 2020.
5. M. R. Yousefi, M. T. Manzuri, and H. R. Pourreza, "A hybrid approach for Persian handwritten prescription recognition," *Proc. IEEE Int. Conf. Doc. Anal. Recognit. (ICDAR)*, pp. 1216-1220, 2021.
6. R. Smith, "An overview of the Tesseract OCR engine," *Proc. IEEE Int. Conf. Doc. Anal. Recognit. (ICDAR)*, vol. 2, pp. 629-633, 2007.
7. J. Jaeger, S. M. R. Islam, and A. K. M. M. Rahman, "EasyOCR: A readable and scalable OCR library," *Proc. IEEE Int. Conf. Pattern Recognit. (ICPR)*, pp. 1-8, 2021.
8. L. Peng, X. Chen, and Z. Wang, "Multi-engine OCR combination for handwritten document recognition," *Proc. IEEE Int. Conf. Multimodal Inf. Process. (MIP)*, pp. 112-118, 2022.
9. K. Niyaz, T. R. Gadekallu, and R. K. Arora, "Image preprocessing techniques for OCR: A survey," *J. King Saud Univ.-Comput. Inf. Sci.*, vol. 35, no. 8, pp. 1067-1081, 2023.
10. D. S. B. D. L. P. Perera, M. T. I. C. Perera, and G. D. C. D. Silva, "Drug interaction detection systems: A systematic review," *BMC Med. Inform. Decis. Mak.*, vol. 23, no. 1, pp. 1-15, 2023.
2. D. K. Jain, P. K. Singh, and A. Khanna, "A comprehensive survey on OCR research," *J. King Saud Univ.-Comput. Inf. Sci.*, vol. 34, no. 6, pp. 2943-2963, 2022.
3. F. Cheng, L. Zhao, and W. Zhang, "Deep learning-based drug-drug interaction prediction: A comprehensive review," *Brief. Bioinform.*, vol. 24, no. 2, p. bbac540, 2023.
4. S. K. Sahoo, S. B. Pradhan, and A. K. Behera, "Handwritten prescription recognition using deep learning," *Proc. IEEE Int. Conf. Signal Process. Commun. (SPCOM)*, pp. 1-5, 2020.
5. M. R. Yousefi, M. T. Manzuri, and H. R. Pourreza, "A hybrid approach for Persian handwritten prescription recognition," *Proc. IEEE Int. Conf. Doc. Anal. Recognit. (ICDAR)*, pp. 1216-1220, 2021.
6. R. Smith, "An overview of the Tesseract OCR engine," *Proc. IEEE Int. Conf. Doc. Anal. Recognit. (ICDAR)*, vol. 2, pp. 629-633, 2007.
7. J. Jaeger, S. M. R. Islam, and A. K. M. M. Rahman, "EasyOCR: A readable and scalable OCR library," *Proc. IEEE Int. Conf. Pattern Recognit. (ICPR)*, pp. 1-8, 2021.
8. L. Peng, X. Chen, and Z. Wang, "Multi-engine OCR combination for handwritten document recognition," *Proc. IEEE Int. Conf. Multimodal Inf. Process. (MIP)*, pp. 112-118, 2022.
9. K. Niyaz, T. R. Gadekallu, and R. K. Arora, "Image preprocessing techniques for OCR: A survey," *J. King Saud Univ.-Comput. Inf. Sci.*, vol. 35, no. 8, pp. 1067-1081, 2023.
10. D. S. B. D. L. P. Perera, M. T. I. C. Perera, and G. D. C. D. Silva, "Drug interaction detection systems: A systematic review," *BMC Med. Inform. Decis. Mak.*, vol. 23, no. 1, pp. 1-15, 2023.
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