A Smart Medical Box for Medical Professionals and Patients for Helping Them to Avail Timely Medication

As we are already on the precipice of the fourth industrial revolution, everything we use is technologically connected. Medicine has become easier to reach for as we can easily take tablets and antibiotics as prescribed. However, we often forget to take them at the prescribed times, especially antibiotics. As a result, a large number of people, including infants, often suffer from antibiotic resistance. To address this issue, we have developed an intelligent medical box that reminds the patient to take the antibiotic and other medications on time. Moreover, cloud-based security systems assist patients in protecting their data from unintended events. Lastly, its user-friendly interface and low cost make it a more viable option as a smart medical box. In this paper, we have discussed the specifics of how we are developing these intelligent aids for patients. The communication protocol employs encryption, HTTPS, acknowledgment, retransmission, and error-handling mechanisms to ensure reliable and secure data transfer. MySQL is used for data storage and administration, and SQL queries are utilized for data retrieval and modifications. Encryption, HTTPS connections, and user authentication are incorporated into the smart medication box system to protect sensitive data. The study also examines the system's use of artificial intelligence tools. Afterward, an attempt is made to determine the product's cost analysis using an existing product. In the entire pipeline of the instrument, optimal user efficacy has been ensured.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/wiecon-ece64149.2024.10914895
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
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article

A Smart Medical Box for Medical Professionals and Patients for Helping Them to Avail Timely Medication

Md Tanzim Reza, Masud Mohiuddin, Nazib Abdun Nasir, Md. Mizanur Rahman et al.
Pharmaceutical Practices and Patient Outcomes
article

A Smart Medical Box for Medical Professionals and Patients for Helping Them to Avail Timely Medication

Md Tanzim Reza, Masud Mohiuddin, Nazib Abdun Nasir, Md. Mizanur Rahman, Afsana Khan, Prothoma Khan Chowdhury
article en

Abstract

As we are already on the precipice of the fourth industrial revolution, everything we use is technologically connected. Medicine has become easier to reach for as we can easily take tablets and antibiotics as prescribed. However, we often forget to take them at the prescribed times, especially antibiotics. As a result, a large number of people, including infants, often suffer from antibiotic resistance. To address this issue, we have developed an intelligent medical box that reminds the patient to take the antibiotic and other medications on time. Moreover, cloud-based security systems assist patients in protecting their data from unintended events. Lastly, its user-friendly interface and low cost make it a more viable option as a smart medical box. In this paper, we have discussed the specifics of how we are developing these intelligent aids for patients. The communication protocol employs encryption, HTTPS, acknowledgment, retransmission, and error-handling mechanisms to ensure reliable and secure data transfer. MySQL is used for data storage and administration, and SQL queries are utilized for data retrieval and modifications. Encryption, HTTPS connections, and user authentication are incorporated into the smart medication box system to protect sensitive data. The study also examines the system's use of artificial intelligence tools. Afterward, an attempt is made to determine the product's cost analysis using an existing product. In the entire pipeline of the instrument, optimal user efficacy has been ensured.

Green University of Bangladesh (BD), BRAC University (BD)
Openalex Percentile: Top 66%
Pharmaceutical Practices and Patient Outcomes
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A Smart Medical Box for Medical Professionals and Patients for Helping Them to Avail Timely Medication — Md Tanzim Reza, Masud Mohiuddin, et al. · (2024) | TGRS Research Map | TGRS