MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System

Osmita Monzur Subonty; Md Mahfuzur Rahman; Md Abdur Rahman; Maher Ali Rusho; Ahmed Faizul Haque Dhrubo; Md Khurshid Jahan; Farhana Sharmin; Mohammad Abdul Qayum

doi:10.1109/SATC65530.2025.11136859

MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System

Osmita Monzur Subonty
, Md Mahfuzur Rahman
, Md Abdur Rahman
, Maher Ali Rusho^*
, Ahmed Faizul Haque Dhrubo
, Md Khurshid Jahan
, Farhana Sharmin
, Mohammad Abdul Qayum

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Medication nonadherence is one of the severe and challenging issues in global healthcare systems, resulting in poor health outcomes, increased number of hospitalizations, and economic burdens. This paper describes MedDose, a smart and user-friendly application that improves medication adherence using Artificial Intelligence (AI) and Internet-of-Things (IoT) technologies. The main features of this application include prescription scanning using Optical Character Recognition (OCR), personalized medication notifications, inventory tracking, and a doctor locator feature. The OCR, a major component of this application, achieves over $97 \%$ accuracy for typed prescriptions and more than $78 \%$ for handwritten ones, improves prescription management by reducing human errors. Further, the IoT components allow real-time adherence tracking to provide convenience. Moreover, MedDose is designed to be inclusive, servicing to diverse user groups, including the elderly and patients with cognitive impairments. This research addresses the challenges related to ensuring data privacy through automation and improving the accuracy of handwritten prescriptions. MedDose is made as an open-source, and scalable application system designed to promote compliance with medication therapy leveraging the trans-formative impact of AI and IoT on healthcare.

Original language	English
Title of host publication	2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings
Editors	Fathi Amsaad, Ahmed Abdelgawad, Alaa Ali Hameed, Akhtar Jamil
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331514204
DOIs	https://doi.org/10.1109/SATC65530.2025.11136859
State	Published - 2025
Externally published	Yes
Event	1st IEEE Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Dayton, United States Duration: 25 Feb 2025 → 27 Feb 2025

Publication series

Name	2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings

Conference

Conference	1st IEEE Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025
Country/Territory	United States
City	Dayton
Period	25/02/25 → 27/02/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

Artificial Intelligence
Healthcare innovation
Internet of Things
IoT-enabled systems
Medication adherence
Optical Character Recognition
Prescription management
patient compliance

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Electrical and Electronic Engineering
Control and Systems Engineering

Access to Document

10.1109/SATC65530.2025.11136859

Cite this

Subonty, O. M., Rahman, M. M., Rahman, M. A., Rusho, M. A., Dhrubo, A. F. H., Jahan, M. K., Sharmin, F., & Qayum, M. A. (2025). MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System. In F. Amsaad, A. Abdelgawad, A. A. Hameed, & A. Jamil (Eds.), 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings (2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SATC65530.2025.11136859

Subonty, Osmita Monzur ; Rahman, Md Mahfuzur ; Rahman, Md Abdur et al. / MedDose : Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System. 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings. editor / Fathi Amsaad ; Ahmed Abdelgawad ; Alaa Ali Hameed ; Akhtar Jamil. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings).

@inproceedings{0e11fee1164f43a68ab590510341f367,

title = "MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System",

abstract = "Medication nonadherence is one of the severe and challenging issues in global healthcare systems, resulting in poor health outcomes, increased number of hospitalizations, and economic burdens. This paper describes MedDose, a smart and user-friendly application that improves medication adherence using Artificial Intelligence (AI) and Internet-of-Things (IoT) technologies. The main features of this application include prescription scanning using Optical Character Recognition (OCR), personalized medication notifications, inventory tracking, and a doctor locator feature. The OCR, a major component of this application, achieves over \$97 \textbackslash{}\%\$ accuracy for typed prescriptions and more than \$78 \textbackslash{}\%\$ for handwritten ones, improves prescription management by reducing human errors. Further, the IoT components allow real-time adherence tracking to provide convenience. Moreover, MedDose is designed to be inclusive, servicing to diverse user groups, including the elderly and patients with cognitive impairments. This research addresses the challenges related to ensuring data privacy through automation and improving the accuracy of handwritten prescriptions. MedDose is made as an open-source, and scalable application system designed to promote compliance with medication therapy leveraging the trans-formative impact of AI and IoT on healthcare.",

keywords = "Artificial Intelligence, Healthcare innovation, Internet of Things, IoT-enabled systems, Medication adherence, Optical Character Recognition, Prescription management, patient compliance",

author = "Subonty, \{Osmita Monzur\} and Rahman, \{Md Mahfuzur\} and Rahman, \{Md Abdur\} and Rusho, \{Maher Ali\} and Dhrubo, \{Ahmed Faizul Haque\} and Jahan, \{Md Khurshid\} and Farhana Sharmin and Qayum, \{Mohammad Abdul\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 1st IEEE Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 ; Conference date: 25-02-2025 Through 27-02-2025",

year = "2025",

doi = "10.1109/SATC65530.2025.11136859",

language = "English",

series = "2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Fathi Amsaad and Ahmed Abdelgawad and Hameed, \{Alaa Ali\} and Akhtar Jamil",

booktitle = "2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings",

address = "United States",

}

Subonty, OM, Rahman, MM, Rahman, MA, Rusho, MA, Dhrubo, AFH, Jahan, MK, Sharmin, F & Qayum, MA 2025, MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System. in F Amsaad, A Abdelgawad, AA Hameed & A Jamil (eds), 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings. 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 1st IEEE Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025, Dayton, United States, 25/02/25. https://doi.org/10.1109/SATC65530.2025.11136859

MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System. / Subonty, Osmita Monzur; Rahman, Md Mahfuzur; Rahman, Md Abdur et al.
2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings. ed. / Fathi Amsaad; Ahmed Abdelgawad; Alaa Ali Hameed; Akhtar Jamil. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MedDose

T2 - 1st IEEE Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025

AU - Subonty, Osmita Monzur

AU - Rahman, Md Mahfuzur

AU - Rahman, Md Abdur

AU - Rusho, Maher Ali

AU - Dhrubo, Ahmed Faizul Haque

AU - Jahan, Md Khurshid

AU - Sharmin, Farhana

AU - Qayum, Mohammad Abdul

PY - 2025

Y1 - 2025

N2 - Medication nonadherence is one of the severe and challenging issues in global healthcare systems, resulting in poor health outcomes, increased number of hospitalizations, and economic burdens. This paper describes MedDose, a smart and user-friendly application that improves medication adherence using Artificial Intelligence (AI) and Internet-of-Things (IoT) technologies. The main features of this application include prescription scanning using Optical Character Recognition (OCR), personalized medication notifications, inventory tracking, and a doctor locator feature. The OCR, a major component of this application, achieves over $97 \%$ accuracy for typed prescriptions and more than $78 \%$ for handwritten ones, improves prescription management by reducing human errors. Further, the IoT components allow real-time adherence tracking to provide convenience. Moreover, MedDose is designed to be inclusive, servicing to diverse user groups, including the elderly and patients with cognitive impairments. This research addresses the challenges related to ensuring data privacy through automation and improving the accuracy of handwritten prescriptions. MedDose is made as an open-source, and scalable application system designed to promote compliance with medication therapy leveraging the trans-formative impact of AI and IoT on healthcare.

AB - Medication nonadherence is one of the severe and challenging issues in global healthcare systems, resulting in poor health outcomes, increased number of hospitalizations, and economic burdens. This paper describes MedDose, a smart and user-friendly application that improves medication adherence using Artificial Intelligence (AI) and Internet-of-Things (IoT) technologies. The main features of this application include prescription scanning using Optical Character Recognition (OCR), personalized medication notifications, inventory tracking, and a doctor locator feature. The OCR, a major component of this application, achieves over $97 \%$ accuracy for typed prescriptions and more than $78 \%$ for handwritten ones, improves prescription management by reducing human errors. Further, the IoT components allow real-time adherence tracking to provide convenience. Moreover, MedDose is designed to be inclusive, servicing to diverse user groups, including the elderly and patients with cognitive impairments. This research addresses the challenges related to ensuring data privacy through automation and improving the accuracy of handwritten prescriptions. MedDose is made as an open-source, and scalable application system designed to promote compliance with medication therapy leveraging the trans-formative impact of AI and IoT on healthcare.

KW - Artificial Intelligence

KW - Healthcare innovation

KW - Internet of Things

KW - IoT-enabled systems

KW - Medication adherence

KW - Optical Character Recognition

KW - Prescription management

KW - patient compliance

UR - https://www.scopus.com/pages/publications/105017968763

U2 - 10.1109/SATC65530.2025.11136859

DO - 10.1109/SATC65530.2025.11136859

M3 - Conference contribution

AN - SCOPUS:105017968763

T3 - 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings

BT - 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings

A2 - Amsaad, Fathi

A2 - Abdelgawad, Ahmed

A2 - Hameed, Alaa Ali

A2 - Jamil, Akhtar

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 February 2025 through 27 February 2025

ER -

Subonty OM, Rahman MM, Rahman MA, Rusho MA, Dhrubo AFH, Jahan MK et al. MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System. In Amsaad F, Abdelgawad A, Hameed AA, Jamil A, editors, 2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. (2025 IEEE 1st Secure and Trustworthy Cyberinfrastructure for IoT and Microelectronics, SATC 2025 - Conference Proceedings). doi: 10.1109/SATC65530.2025.11136859

MedDose: Redefining Medication Compliance Through an Intelligent AI and IoT-Driven System

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this