Mhealth-Based Electronic Medical Record Platform for ASHA Field Workers

K, Dharanidharan N, Nantheeswaran

doi:https://doi.org/10.55041/ijsmt.v2i3.099

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MHEALTH-BASED ELECTRONIC MEDICAL RECORD PLATFORM FOR ASHA FIELD WORKERS

AUTHORS:

Dharanidharan N, Nantheeswaran K

Mentor

Dr.P. Elamurugan

Affiliation

Dept. of BME, Kongunadu College of Engg. & Tech., Trichy, Tamil Nadu, India

DOI: 10.55041/ijsmt.v2i3.099

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

Digital technology is becoming more common in healthcare, especially when it comes to raising awareness about cancer and helping people learn about the disease. Special chatbots have been made to give information on cancer symptoms, what increases the risk, ways to detect it early, how it's diagnosed, available treatments, and care after treatment. These chatbots help users get clear and correct medical info fast, in easy-to-understand words, which makes it easier for them to learn and stay informed. They are always available, day or night, which takes some pressure off healthcare centers by handling simple questions. This support helps patients and their families make better choices about their health. These chatbots are built using different methods like rule-based systems, natural language processing, and machine learning. Rule-based systems give clear answers, while NLP helps chatbots understand what people are asking. But there are still issues to deal with, such as making sure the information is right, keeping personal data safe, dealing with ethical issues, and building trust with users. Overall, these cancer chatbots can be really useful in helping traditional healthcare services, especially if they are made with accurate medical knowledge and with the needs of users in mind.

Keywords

EHR ASHA Workers mHealth Rural Healthcare Cloud Synchronization Smart Card.

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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