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@article{172018,
        author = {Hitesh D and Sushmitha V M and Shamitha R and Dr Pallavi R},
        title = {Med Pad-Revolutionizing Medical Representatives’ Efficiency in Pharmaceutical Sales},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1645-1648},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172018},
        abstract = {Medical Representatives' (MRs') operational inefficiencies are a major factor in pharmaceutical companies' low sales numbers. MRs are vital to the pharmaceutical industry, yet they frequently need to perform better. In order to empower MRs, improve processes, and eventually increase prescription numbers, this article presents Med Pad, a cutting-edge application that makes use of contemporary technologies. A variety of special features in Med Pad are designed to maximize the MRs' everyday tasks and raise their general level of productivity. Despite being essential to the pharmaceutical sector, medical representatives' (MRs') inefficiencies frequently result in subpar sales results. Med Pad is a complete, technologically advanced tool made to boost MR productivity and increase prescription volume by ten times. Features including a centralized repository for marketing materials, a machine learning-powered recommendation engine to advise MRs on the best outreach areas, and a review system for collecting sentiment analysis-based doctor feedback are all included in this all-in-one application. Furthermore, Med Pad has a video conference function that allows MRs to communicate with physicians in far-flung locations, extending their reach into underprivileged areas. To make sure MRs are knowledgeable about their products, the platform also includes a knowledge monitoring system with recurring online tests, with extra features like survey forms and instant access on mobile devices.},
        keywords = {Medical Representatives (MRs), Pharmaceutical Industry, Sentiment Analysis, Recommendation System, Survey Forms, Material Repository.},
        month = {January},
        }