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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 11, ISSUE 3, MARCH 2024

Pathology Lab Management System Using ML

Ritika Murkute, Sakshi Padwal, Samarth Varvatkar, Susmita Mangle

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Abstract: The "Pathology Lab Management" project introduces an advanced web-based solution aimed at streamlining pathology laboratory operations. It utilizes React for the front-end, Flask for the back-end, and MySQL for the database. The project focuses on optimizing processes like patient information management, test requests, results, and reporting. Crucial features include robust user authentication, patient record management, and test request initiation and tracking. Result entry and reporting are seamlessly integrated, while inventory management ensures the availability of essential supplies. The project also handles billing and invoicing transparently. Timely notifications keep stakeholders informed about test progress. Overall, it offers a comprehensive solution for efficient pathology lab management.

Keywords: digital pathology, change management, user authentication, patient records, medical records

How to Cite:

[1] Ritika Murkute, Sakshi Padwal, Samarth Varvatkar, Susmita Mangle, “Pathology Lab Management System Using ML,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11356

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.