Application of IoT Using nodeMCU ESP8266 on the Syringe Pump Device to Increase Patient Safety

Anjani, Annisa Gallela; Grisviani, Presillia Grisviani; Royan, Royan; Wibowo, Kusnanto Mukti; Romadhona, Gema; Sapundani, Rum; Mulyanto, Arif; Setiawan, Iwan; Jumrianto, Jumrianto; Prasath, N.

doi:10.35882/ijeeemi.v4i1.4

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The research [1] discusses the implementation of Internet of Things (IoT) technology on a syringe pump device. By using the nodeMCU ESP8266 platform, the researchers aimed to enhance patient safety and improve the functionality of the device.…”

Section: Benefits Of Iot-based Syringe Injection Pumpsmentioning

confidence: 99%

Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation

Dhone,

Joshi,

Sonaskar

2024

J. Phys.: Conf. Ser.

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This presents the design, implementation, and successful validation of a cutting-edge IoT-based Syringe Injection Pump (SIP) for precision medication administration. In response to the increasing demand for enhanced healthcare automation, this system leverages technologies to address critical challenges in medication delivery. This SIP incorporates a robust Internet of Things (IoT) framework, enabling seamless communication between the device and a central healthcare management system. The automated syringe injection process is governed by a sophisticated algorithm that considers patient-specific parameters, ensuring precise dosage administration. Through extensive testing and real-world simulations, the results demonstrate a significant reduction in human error and improved medication adherence. The system’s architecture integrates secure communication protocols, ensuring data confidentiality and integrity during transmission. An innovative user interface provides healthcare professionals with real-time monitoring and control capabilities, enhancing situational awareness and responsiveness. Furthermore, the SIP’s adaptability to diverse medical environments underscores its versatility in meeting the evolving needs of healthcare institutions. To validate the system’s effectiveness, a comprehensive performance evaluations, including dosage accuracy, response time, and reliability under varying conditions was conducted. Results indicate an impressive dosage precision of 99.8%, showcasing the system’s reliability in critical healthcare scenarios. The IoT connectivity facilitates remote monitoring and control, allowing healthcare providers to intervene promptly in case of anomalies or emergencies. In addition to its technical prowess, the SIP aligns with current healthcare trends by promoting sustainability and cost-effectiveness. The automated system optimizes resource utilization, reduces medication waste, and minimizes the environmental impact associated with traditional manual injection methods. In conclusion, this IoT-based Syringe Injection Pump represents a paradigm shift in medical technology, offering a smart and results-oriented solution for precise medication administration. The successful implementation and validation of this system pave the way for improved patient outcomes, streamlined healthcare workflows, and a more sustainable approach to medication delivery. This research contributes to the ongoing discourse on advancing medical technology and underscores the potential of IoT in shaping the future of healthcare.

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Section: Benefits Of Iot-based Syringe Injection Pumpsmentioning

confidence: 99%

Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation

Dhone,

Joshi,

Sonaskar

2024

J. Phys.: Conf. Ser.

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“…Hanna Firdaus, make a central infusion monitor system with volume and droplet detection parameters per minute using the TCRT-5000 sensor with an error of 4% at a flow rate of 30 ml/s [2]. And many innovation about it, no exception telemonitoring and modified the sensors [3], [4], [7], [19], [23], [24], [26]- [32].…”

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confidence: 99%

Enhancement Drip Dose Infusion Accuracy Based on Optocoupler and Microcontroller Sensor

Puvindra

Marwanto

Budisusila³

et al. 2022

International Journal of Advanced Health Science and Technology

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Setting the speed of infusion drops in a manual manner is by adjusting the clamp on the infusion set, where the nurse must count the number of infusion drops in the chamber at the same time as looking at the time on the watch. This makes the setting is subjective and cannot be shown with numbers. In addition, nurses cannot monitor the infusion rate continuously. Therefore, it is necessary to enhancement the accuracy of giving infusion drops so that they can be objective and can be shown with numbers and monitor continuously. This enhancement in accuracy is done by making a instrument with an optocoupler to detect infusion drops. For processing uses an arduino microcontroller to be the speed and the volume of infusion and detects changes in the rate of infusion drops significantly. And for the display uses a OLED display and a buzzer as an indicator. The results of this instrument, it can be seen that the optocoupler can detect infusion drops in the infusion set properly. This good sensor reading has implications for accurate readings of the infusion drop rate and infusion drop volume. This enhancement in accuracy is not only for the macro drip (20 drops/cc) but also for the micro drip (60 drops/cc). The accuracy of volume readings ranges from 95-99% for the macro drip and 94.5-97% with the micro drip. And for speed accuracy ranges from 92.37-98.46%. Based from the results of this test, enhancement the accuracy of the infusion drip dose administration can be done by making a patient infusion drip dose calculator. This equipment uses an optocoupler sensor, arduino microcontroller, OLED display and buzzer. With the use of this instrument, nurses can be more accurate in regulating the rate of infusion drops given to patients and can monitor it continuously if there is a significant change in infusion rate.

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Design and Experiment of an Open-Source Syringe Pump for Blood Flow Applications

Abdelhamid,

AbouMeshrafa,

Rahma

2023

2023 3rd International Conference on Electronic Engineering (ICEEM)

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Application of IoT Using nodeMCU ESP8266 on the Syringe Pump Device to Increase Patient Safety

Cited by 4 publications

References 11 publications

Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation

Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation

Enhancement Drip Dose Infusion Accuracy Based on Optocoupler and Microcontroller Sensor

Design and Experiment of an Open-Source Syringe Pump for Blood Flow Applications

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