MediBot: Healthcare Assistant

Healthcare systems over the world are facing a lot of pressure. This is because there are many patients and not enough healthcare professionals. Also, some people do not have access to medical advice when they need it. The MediBot is a computer program that uses intelligence to talk to people about their medical symptoms. People can tell MediBot what is wrong with them in their words. Then MediBot tries to figure out what might be wrong. Suggests some over-thecounter medicines that people can buy without a prescription. MediBot uses a special language system called BioMistral-7B (ResearchGate, n.d.). It also uses information from the RxNorm and FDA to ensure the medicine suggestions are safe and correct. The program has a user-interface that people can interact with. It also has a backend system that interprets symptoms checks for safety and validates medicines. In a test MediBot was able to correctly identify some common medical conditions. It also suggested some over-the-counter medicines that are normally recommended for those conditions. These early results show that MediBot can be a tool for people to get some basic medical help. This is especially true in places where people do not have access to healthcare professionals. However people should still go see a doctor for a medical consultation. MediBot is not a replacement for a doctor (*ScienceDirect). Mediterr. Bot*. system is a starting point for people who need medical help. *Mediterr. Bot*. can help people with medical conditions and suggest some, over-the-counter medicines.

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Publication Details

Journal
Journal of Pharmacy Practice and Community Medicine
Published
2026-11-02
DOI
https://doi.org/10.5530/jppcm.20270036
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

MediBot: Healthcare Assistant

Kavita Namdev, Kuldeep Vishwakarma, Malay Choudhary, Lavesh Vyas et al.
1 links
Journal of Pharmacy Practice and Community Medicine
Artificial Intelligence in Healthcare and Education
article

MediBot: Healthcare Assistant

Kavita Namdev, Kuldeep Vishwakarma, Malay Choudhary, Lavesh Vyas, Mahendra Kumar Tamrakar, Lavish Verma
article en

Abstract

Healthcare systems over the world are facing a lot of pressure. This is because there are many patients and not enough healthcare professionals. Also, some people do not have access to medical advice when they need it. The MediBot is a computer program that uses intelligence to talk to people about their medical symptoms. People can tell MediBot what is wrong with them in their words. Then MediBot tries to figure out what might be wrong. Suggests some over-thecounter medicines that people can buy without a prescription. MediBot uses a special language system called BioMistral-7B (ResearchGate, n.d.). It also uses information from the RxNorm and FDA to ensure the medicine suggestions are safe and correct. The program has a user-interface that people can interact with. It also has a backend system that interprets symptoms checks for safety and validates medicines. In a test MediBot was able to correctly identify some common medical conditions. It also suggested some over-the-counter medicines that are normally recommended for those conditions. These early results show that MediBot can be a tool for people to get some basic medical help. This is especially true in places where people do not have access to healthcare professionals. However people should still go see a doctor for a medical consultation. MediBot is not a replacement for a doctor (*ScienceDirect). Mediterr. Bot*. system is a starting point for people who need medical help. *Mediterr. Bot*. can help people with medical conditions and suggest some, over-the-counter medicines.

Journal of Pharmacy Practice and Community MedicineVol. 13(1)
Good health and well-being
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
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MediBot: Healthcare Assistant — Kavita Namdev, Kuldeep Vishwakarma, et al. · Journal of Pharmacy Practice and Community Medicine (2026) | TGRS Research Map | TGRS