Prototyping a Smart Medication Management System with Machine Learning-based Dosage Recommendations

Medication adherence is crucial for effective treatment outcomes, yet many patients struggle to follow prescribed regimens. This research study presents a novel smart medication management system designed to address this challenge. The proposed system incorporates automated dispensing, timely reminders, and machine learning-based dosage recommendations. By tracking patient adherence data and health parameters, the system can offer personalized dosage recommendations, enhancing treatment effectiveness. This comprehensive approach not only aids patients in maintaining medication schedules but also provides healthcare providers with valuable insights into patient adherence. The integration of automated features and machine learning capabilities positions this system as a significant advancement in medication management technology.

Authors

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/icosec61587.2024.10722123
Citations
2
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
1.42
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article

Prototyping a Smart Medication Management System with Machine Learning-based Dosage Recommendations

S. Sujitha, S Kavya, Syeda Mehak Fathima
2 citations
Electronic Health Records Systems
1.42
article

Prototyping a Smart Medication Management System with Machine Learning-based Dosage Recommendations

S. Sujitha, S Kavya, Syeda Mehak Fathima
article en
2 citations

Abstract

Medication adherence is crucial for effective treatment outcomes, yet many patients struggle to follow prescribed regimens. This research study presents a novel smart medication management system designed to address this challenge. The proposed system incorporates automated dispensing, timely reminders, and machine learning-based dosage recommendations. By tracking patient adherence data and health parameters, the system can offer personalized dosage recommendations, enhancing treatment effectiveness. This comprehensive approach not only aids patients in maintaining medication schedules but also provides healthcare providers with valuable insights into patient adherence. The integration of automated features and machine learning capabilities positions this system as a significant advancement in medication management technology.

Openalex Percentile: Top 13%
Electronic Health Records Systems
1.42
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