Key result
Real-time remote monitoring systems improve timely interventions for abnormal vital signs.
Why the study?
Monitoring vital signs plays a critical role in healthcare, prompting the proposal of real-time remote monitoring and early warning systems to assist healthcare professionals.
The proposed low-cost real-time remote monitoring systems successfully maintained data transmission integrity for vital signs, providing a foundation for future clinical decision support systems.
May support earlier interventions for vital sign abnormalities; leaves open need for randomized validation before clinical adoption.
Monitoring patients' vital signs such as pulse, body temperature, systolic-diastolic blood pressure, and SpO₂ plays a significant role in healthcare systems for post-operative patients, emergencies, infants, individuals with heart failure, pandemics, and similar situations. In this study, two different real-time remote monitoring and early warning systems (RTMEWS) are proposed to assist healthcare professionals and physicians in measuring and monitoring patients' vital signs. In the first proposed RTMEWS, SpO₂, pulse, and body temperature can be measured using a pulse oximeter developed with an ATMEGA328P microcontroller and MAX30100 sensor, and monitored via wireless transmission from the OLED GLCD screen on the prototype through an interface developed with the MIT2 application on a smartphone. In the second proposed system, when the measured pulse rate, body temperature, and systolic-diastolic blood pressure findings exceed the threshold range determined by the physician, a warning message can be sent to the mobile phone of the healthcare worker, doctor, or desired recipient via an MC35i terminal (GSM/GPRS modem) controlled by an AT command set connected to the computer where the data is stored. In conclusion, many factors influence the determination of normal and abnormal ranges of vital signs and intervention priorities. When unforeseen situations arise in clinical care processes, RTMEWS has been shown to assist professional interventions by generating timely alarms. The system provides a foundation for clinical decision support systems by offering real-time remote monitoring and autonomous threshold-based alerts.
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Baloglu et al. (2025) studied this question. Real-time remote monitoring and alert systems improve timely interventions for abnormal vital signs in clinical settings.
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