Development of an environmental parameter monitor for critical hospital environments

Authors

DOI:

https://doi.org/10.31637/epsir-2025-1381

Keywords:

monitoring, parameters, atmosphere, temperature, relative humidity, Internet of Things, noise levels, infections, alert, infraestructure

Abstract

Introduction: The quality of healthcare services has improved by considering factors such as technological efficiency and the quality of the care environment. This has generated the need to evaluate environmental quality in critical clinical spaces. Methodology: The article proposes a system for real-time measurement and monitoring of key environmental parameters, such as relative humidity, temperature, environmental noise and carbon dioxide, using IoT technologies and commercial sensors with wireless data transmission. Results: The system will make it possible to evaluate and improve environmental conditions in real time, acting when parameters exceed established limits. Discussion: Environmental monitoring not only complies with regulations, but also improves safety and comfort in clinical environments. Comparison of measurements with standards allows for rapid intervention, ensuring an optimal environment for patients and staff. Conclusions: Continuous monitoring of environmental components in critical clinical environments is essential to improve the quality of healthcare service, ensuring safety and comfort for all occupants.

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Author Biographies

Leopoldo Hernández Guevara, Universidad Don Bosco

Graduated as a Biomedical Engineer in 1993, with a master's degree in Computer Integrated Manufacturing and a diploma in Quality Assurance in production. More than 15 years of work experience as an advisor and consultant for biomedical technologies - equipment at the Salvadoran Social Security Institute, Ministry of Public Health of El Salvador, and the German Agency for Technical Cooperation. With more than 15 years of experience as a teacher and academic researcher at the Don Bosco University of El Salvador, teaching classes and laboratories in subjects such as Bioinstrumentation, Medical Signal and Image Processing, Medical Technology Management, among others. Participation in national and international conferences, with participation in presentations, such as CONIA, CONCAPAN, and CUICIID in 2023.

Carmen Celia Morales Samayoa, Universidad Don Bosco

Computer Science Engineer, Master in Software Architecture, currently teaching at the School of Computing of the Faculty of Engineering at Don Bosco University. Experience in systems analysis and design in the government sector of El Salvador. Researcher in projects associated with Augmented Reality at Queen's University in Ontario, Canada and in a research project on Augmented Reality and gait rehabilitation in patients with lower limb amputations.

References

Barquín, M. (2013). Dirección de Hospitales: Sistemas de Atención Médica. McGraw-Hill.

Barturen, F., Paz-Martín, D., Monedero, P., Cardona-Pereto, J., Fernández-Quero, L., Valía, J.C., Peyro, R. y Sanchez, C. (2019). Estructura de las unidades de cuidados intensivos de anestesia: recomendaciones de la Sección de Cuidados Intensivos de la Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor (SEDAR). Revista Española de Anestesiología y Reanimación, 66, 506-520. https://doi.org/10.1016/j.redar.2019.06.004 DOI: https://doi.org/10.1016/j.redar.2019.06.004

Berenguer, J. y Bernal, F. (2000). NTP 549: El dióxido de carbono en la evaluación de la calidad del aire interior. Ministerio de Trabajo y Asuntos Sociales de España.

Chakraborty, C. y Rodrigues, J. (2022). Smart Health Technologies for the COVID-19 Pandemic - Internet of Medical Things Perspectives. Institution of Engineering and Technology (IET). DOI: https://doi.org/10.1049/PBHE042E

Di Paolo, M. E. (2013). Data Acquisition Systems: From Fundamentals to Applied Design. Springer. DOI: https://doi.org/10.1007/978-1-4614-4214-1

Espressif Systems. (2024). Hoja de Datos del Procesador Embebido Programable XIAO-ESP32-C3 Mini. https://www.espressif.com/sites/default/files/documentation/esp32-c3-mini-1_datasheet_en.pdf

Mouser Electronics. (2019). Hoja de Datos del Sensor DHT11 para Medición de Temperatura y Humedad Relativa Ambientales. https://bit.ly/3S7kB6s

O'Connell, N. y Humphreys, H. (2000). Diseño de la unidad de cuidados intensivos y factores ambientales en la adquisición de infecciones. The Journal of Hospital Infection, 55, 255-262. https://doi.org/10.1053/jhin.2000.0768 DOI: https://doi.org/10.1053/jhin.2000.0768

Organización Panamericana de la Salud. (2020). Recomendaciones para calefacción, ventilación y aire acondicionado en establecimientos de salud. https://iris.paho.org/handle/10665.2/52220

Rashid, M. (2014). Two decades (1993-2012) of adult intensive care unit design: A comparative study of the physical design features of the best practice examples. Critical Care Nursing Quarterly. DOI: https://doi.org/10.1097/CNQ.0000000000000002

Sánchez, I., de la Torre, A. y Somoza, J. (2010). Unidades de cuidados intensivos: Estándares y recomendaciones. Ministerio de Sanidad de España.

Schwab, F., Gastmeier, P. y Meyer, E. (2014). The warmer the weather, the more gram-negative bacteria - impact of temperature on clinical isolates in intensive care units. PLoS One, 9, 91-105. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0091105 DOI: https://doi.org/10.1371/journal.pone.0091105

Sparkfun Electronics. (2024). Hoja de Datos del Sensor de Sonido (Ruido Ambiental) SEN-126412. https://learn.sparkfun.com/tutorials/sound-detector-hookup-guide

Teledyne Flir. (2024). Especificaciones Técnicas medidor de parámetros ambientales 5 en 1 modelo EN300. https://www.flir.com.mx/products/en300/?vertical=condition%20monitoring&segment=solutions

Teledyne Flir. (2024). Especificaciones Técnicas medidor de parámetros ambientales CO2, Temperatura y Humedad Relativa ambientales modelo CO250. https://www.flir.com.mx/products/co250/?vertical=condition%20monitoring&segment=solutions

The American Institute of Architects (2006). Guidelines for Design and Construction of Hospital and Health Care Facilities. AIA.

Welling, L. y Thomson, L. (2016). The definitive guide to building database-driven Web applications with PHP and MySQL. Addison-Wesley Professional.

Zhengzhou Winsen Electronics Technology Co., Ltd. (2019). Hoja de Datos del Sensor MH-Z19b para Medición de CO2 ambiental. https://www.winsen-sensor.com/d/files/MH-Z19B.pdf

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Published

2025-01-29

How to Cite

Hernández Guevara, L., & Morales Samayoa, C. C. (2025). Development of an environmental parameter monitor for critical hospital environments. European Public & Social Innovation Review, 10, 1–14. https://doi.org/10.31637/epsir-2025-1381

Issue

Vol. 10 (2025)

Section

MISCELLANEOUS

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Copyright (c) 2025 Leopoldo Hernández Guevara, Carmen Celia Morales Samayoa

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