Smart Monitoring System for Temperature and Relative Humidity Adapted to the Specific Needs of the Colombian Pharmaceutical Service

Patient safety (PS) is essential in medical care, and preventing medication errors (MEs) is key to guaranteeing it. In Colombia, pharmaceutical services must comply with regulations that require adequate environmental monitoring to ensure medication quality. This study aims to propose an IoT-based smart system that automatizes temperature and relative humidity monitoring in the Colombian pharmaceutical service (CPS). Using the model for IoT platform design as a methodology, an efficient and flexible architecture that integrates data quality management (DQM) dimensions to improve the accuracy and reliability of the system was designed. In addition, tests based on the agile quadrant methodology demonstrate, as a result, its effectiveness, highlighting its ability to optimize environmental monitoring, prevent MEs, and improve PS. The successful implementation of this IoT-based smart system shows its potential in the pharmaceutical sector, offering an innovative solution that reduces risks and improves the quality of drug storage.

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Publication Details

Journal
IoT
Published
2025-02-13
DOI
https://doi.org/10.3390/iot6010015
Citations
2
Primary Topic
Data Stream Mining Techniques
Type
article
Field-Weighted Citation Impact
4.96

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article

Smart Monitoring System for Temperature and Relative Humidity Adapted to the Specific Needs of the Colombian Pharmaceutical Service

Diego M. López, Fulvio Yesid Vivas, Johanna Elizabeth Escobar Carvajal, Maria Paula Cabezas
2 citations
IoT
Data Stream Mining Techniques
4.96
article

Smart Monitoring System for Temperature and Relative Humidity Adapted to the Specific Needs of the Colombian Pharmaceutical Service

Diego M. López, Fulvio Yesid Vivas, Johanna Elizabeth Escobar Carvajal, Maria Paula Cabezas
article en
2 citations

Abstract

Patient safety (PS) is essential in medical care, and preventing medication errors (MEs) is key to guaranteeing it. In Colombia, pharmaceutical services must comply with regulations that require adequate environmental monitoring to ensure medication quality. This study aims to propose an IoT-based smart system that automatizes temperature and relative humidity monitoring in the Colombian pharmaceutical service (CPS). Using the model for IoT platform design as a methodology, an efficient and flexible architecture that integrates data quality management (DQM) dimensions to improve the accuracy and reliability of the system was designed. In addition, tests based on the agile quadrant methodology demonstrate, as a result, its effectiveness, highlighting its ability to optimize environmental monitoring, prevent MEs, and improve PS. The successful implementation of this IoT-based smart system shows its potential in the pharmaceutical sector, offering an innovative solution that reduces risks and improves the quality of drug storage.

IoTVol. 6(1)
University of Cauca (CO)
Universidad del Cauca
Openalex Percentile: Top 6%
Data Stream Mining Techniques
4.96
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