Pump Monitoring System Research Articles

Centralized Pump Monitoring System: Perception on Utility and Workflows by Nurses in a Tertiary Hospital.

Nurses play a key role in providing in-hospital care to patients. Worldwide, there has been a shortage of nursing staff, putting enormous strain on the existing nursing workforce physically and mentally. A vicious cycle of demanding workplaces exacerbated by perennial shortages leads to attrition and high staff turnover. A centralized, automated infusion pump monitoring system optimizes and augments nurses' performance in the hospital by cutting down on nurse visits to the patient's bedside for every matter, whether significant or insignificant. This viewpoint intends to highlight that by filtering out the noise effectively, nurses can focus on improving patient outcome-led interventions and enhancing the quality of care.

Factor of Technology Acceptance of Clinicians in Central Infusion Pump Monitoring System: A Case Study at Ruamjairak Hospital in Thailand

This study investigates into the Central Infusion Pump Monitoring System, utilizing technology to oversee Infusion Pump operations and proactively prevent adverse drug events. The purpose of this study was to find the factors affecting the acceptance of technology in the use Central Infusion Pump Monitoring System by medical personnel at Ruamjairak Hospital in Thailand. It would be beneficial in terms of management and the decision to use a Central Infusion Pump Monitoring System. The sample consisted of 69 individuals that use infusion pump and working in Ruamjairak hospital for not less than 6 months. An online questionnaire was used to collect data by studying personnel factors, technological factors. brand factors, organizational factors, and price factors. The statistics used in this study were Spearman’s Rank Correlation Coefficient and the influence on the adoption Central Infusion Pump Monitoring System technology was determined using Stepwise Multiple Regression Analysis. The results find that technological factors, brand factors, price factors, and organizational factors exhibit a significant relationship with the adoption of technology for Central Infusion Pump Monitoring System. The regression coefficients, ordered by influence from most to least, are as follows: technology factor 0.545, brand factor 0.182, price factor 0.137, and organizational factor 0.136. Importantly, personnel factors were found to have no impact on the adoption of technology for Central Infusion Pump Monitoring System. The technological factors, brand factors, price factors, and organizational factors affect with statistical significance at the 0.05 level.

Analysis of Drop Sensor Accuracy in Central Infusion Peristaltic Monitoring Based on Computer Using Wireless Communication HC-11

In some hospitals, the infusion is still done manually, where medical personnel observe the liquid droplets directly and then control the rate using a mechanical resistor (clamp). This method is certainly far from accurate. An infusion pump is a medical aid that functions to control and ensure the correct dose of infusion fluid given to patients treated. The purpose of this study was to analyze the accuracy of the infrared photodiode as a drop sensor based on the readings of the infusion pump monitoring system. This module consists of a photodiode infrared drop sensor module, a comparator circuit, a monostable circuit, a stepper motor, an L298N motor driver, and an ATmega328 microcontroller. The droplets were detected by an infrared photodiode sensor, then compared with a comparator and monostable circuit as an oscillator developer, and then the flow rate and residual volume readings were generated by the ATmega328 microcontroller. Next, this data has sent to the computer via the HC-11 wireless. The results of the flowrate module measurement show the highest error value of 3% at the 30 ml/hour setting and the lowest error value of 2.5% at the 60 ml/hour setting. Meanwhile, the results of the flow rate measurement using an infusion device analyzer obtained the highest error value of 4% at the setting of 30 ml/hour and 60 ml/hour, and the lowest error value of 0.8% at the setting of 100 ml/hour. Monitoring the infusion pump was designed centrally to facilitate the nurse's task in monitoring the infusion dose given to the patient accurately. Based on this research, the accuracy of the infrared sensor and photodiode is very good by looking at the existing error rate.

Monitoring and Predictive Maintenance of Centrifugal Pumps Based on Smart Sensors.

Centrifugal pumps have a wide range of applications in industrial and municipal water affairs. During the use of centrifugal pumps, failures such as bearing wear, blade damage, impeller imbalance, shaft misalignment, cavitation, water hammer, etc., often occur. It is of great importance to use smart sensors and digital Internet of Things (IoT) systems to monitor the real-time operating status of pumps and predict potential failures for achieving predictive maintenance of pumps and improving the intelligence level of machine health management. Firstly, the common fault forms of centrifugal pumps and the characteristics of vibration signals when a fault occurs are introduced. Secondly, the centrifugal pump monitoring IoT system is designed. The system is mainly composed of wireless sensors, wired sensors, data collectors, and cloud servers. Then, the microelectromechanical system (MEMS) chip is used to design a wireless vibration temperature integrated sensor, a wired vibration temperature integrated sensor, and a data collector to monitor the running state of the pump. The designed wireless sensor communicates with the server through Narrow Band Internet of Things (NB-IoT). The output of the wired sensor is connected to the data collector, and the designed collector can communicate with the server through 4G communication. Through cloud-side collaboration, real-time monitoring of the running status of centrifugal pumps and intelligent diagnosis of centrifugal pump faults are realized. Finally, on-site testing and application verification of the system was conducted. The test results show that the designed sensors and sensor application system can make good use of the centrifugal pump failure mechanism to automatically diagnose equipment failures. Moreover, the diagnostic accuracy rate is above 85% by using the method of wired sensor and collector. As a low-cost and easy-to-implement solution, wireless sensors can also monitor gradual failures well. The research on the sensors and pump monitoring system provides feasible methods and an effective means for the application of centrifugal pump health management and predictive maintenance.

Analysis of the Drop Sensors Accuracy in Central Peristaltic Infusion Monitoring Displayed on PC Based Wireless (TCRT5000 Drop Sensor)

In some hospitals the infusion is still done manually, medical staff observes fluid drip directly and then controls its rate using a mechanical resistor (clamp), this method is certainly far from the level of accuracy. Infusion pump is a medical aid that has functions to control and ensure the correct dose of infusion fluid that is given to patients under treatment. The purpose of this study is to analyze the accuracy of the TCRT5000 as a drop sensor, based on readings of the infusion pump monitoring system. This module consists of a TCRT5000 drop sensor module, comparator circuit, monostable circuit, stepper motor, L298N motor driver, and ATmega328 microcontroller. The droplets are detected by the TCRT 5000 sensor, then amplified by a comparator and monostable circuit, then the flow rate and remaining volume readings are generated by the ATmega328 microcontroller. Furthermore, this data is sent to the Personal Computer (PC) via wireless HC-11. The results of the flow rate module measurement show that the highest error value is 4% at the 30 ml/hour setting, and the lowest error value is 1% at the 60 ml/hour setting. While the results of the flow rate measurement using an Infuse Device Analyzer, the highest error value is 2,2% at the 30 ml/hour setting, and the lowest error value is 0,58% at the 100 ml/hour setting. This infusion pump monitoring is designed centrally to facilitate the nurse's task in monitoring the infusion dose accurately that is given to the patient.

ANALISIS PEMELIHARAAN SYRINGE PUMP DI.LAB TERPADU UNIVERSITAS SARI MUTIARA INDONESIA

Medical devices are divices that are always in a ready to use condition and can function properly. This requires the Sari Mutiara University Integrated Laboratory to assist and medical equipment as effectively and efficiently as possible. This study aims to look at the syringe pump monitoring system in the USM-Indonesia Integrated Lab.Descriptive research method. Syringe pump tools and materials, questionnaire instruments used to conduct direct interviews with officers in the integrated laboratory, observation and documents.The results of this study indicate that all medical equipment including the syringe pump in the USM-Indonesia integrated Lab has never been maintained because there has not been a maintenance program for the medical equipment in the Lab. Integrated suggestions for syringe pump equipment and other health equipment to be maintained in the form of heating the appliance twice a week so that the tool is always in a condition that can function properly and has a longer service life, it is necessary to make SOP for operating the syringe pump tool and other tools.

Design of Remote Infusion Pump Monitoring System Using Wireless Network and RFID Technology

병원에서 Infusion Pump를 사용하여 환자에게 자동적으로 지속적이고 정밀하게 약물을 투여하는 것이 가능해졌다. 그러나 Infusion Pump를 부착한 환자가 이동하는 도중 응급 상황이 발생할 경우, 이에 대한 대처가 신속 정확하게 이루어지지 않고 있는 실정이다. 이러한 문제로 인하여 Infusion Pump를 통해 정맥 내로 투여되는 약물 양에 약간의 오차라도 생기면 환자에게 치명적일 수 있다. 따라서 본 연구에서는 무선 네트워크와 RFID 기술을 이용한 원격 Infusion Pump 모니터링 시스템을 제안하였다. 제안한 시스템은 Infusion Pump에 이상이 발생한 경우 Infusion Pump에 대한 상태 정보(고장 종류)와 환자의 위치 정보를 간호사 station에 자동으로 알려줌으로써 Infusion Pump를 사용하는 환자들에게 신속하고 정확한 의료 서비스를 제공할 수 있을 뿐만 아니라 Infusion Pump로 인한 의료사고를 사전에 예방할 수 있다. 【Development of infusion pumps enabled injecting medical substances continuously and automatically to patients in hospitals. However, in cases when patients encountered emergent situations when moving to other areas, no clear measures were taken. The problem is that even the lightest error in injecting medical substances could be critical to the patient. That is why we proposes a remote infusion monitoring system using wireless network and RFID technology in this paper. When a problem occurs in the infusion pump, the medical personnel are informed of their patients' emergent situation and location information via wireless network so not only can they swiftly and accurately provide medical services but also can prevent safety accidents due to infusion pumps.】

Research on centrifugal pump monitoring system based on virtualization technology

Centrifugal pump's state monitoring and analysis system is a comprehensive system built upon centrifugal pump's performance parameter and historical background. Real-time monitoring and analysis on the running state of marine centrifugal pump can be achieved by the system. Taking virtual instrument technology as development platform, the hardware design of monitoring and analysis system is implemented with the help of computer-aided test technology. LabVIEW programming software from American NI Corporation is used to make the monitoring software proportion in this system. A lot of testing experiments have been conducted. It is proved that the system can acquire the performance parameters, analyze these data, draw the conclusion, and help engineer manage the pumps.

Effect of Carelink, an internet-based insulin pump monitoring system, on glycemic control in rural and urban children with type 1 diabetes mellitus

To determine whether use of the internet-based insulin pump monitoring system, Carelink, improved glycemic control in rural and urban children treated with insulin pump therapy. We reviewed records of 94 children treated with insulin pump therapy between the years 2004 and 2007 and compared glycemic control, diabetes self-care measures, frequency of clinic visits, and geographic location associated with Carelink use. Carelink users showed improvement in hemoglobin A1c (HbA1c) levels [8.0 +/- 0.1 (SE) vs. 7.7 +/- 0.1 (SE), p = 0.002]. Carelink users uploaded pump and glucometer data 2.2 +/- 1.8 (SD) times per month over 0.8 +/- 0.4 (SD) yr. Patients who had no access to carelink software and were followed in a conventional manner showed no change in HbA1c levels [8.0 +/- 0.2 (SE) vs. 8.1 +/- 0.2 (SE), p = 0.17] during the study period. Carelink non-users, defined as patients who had Carelink access but did not use it, had a higher HbA1c level at the start of the study and did not change over the study period [8.9 +/- 0.2 (SE) vs. 9.0 +/- 0.3 (SE), p = 0.82]. Rural Carelink users showed improvement in HbA1c levels following Carelink use [7.9 +/- 0.2 (SE) vs. 7.4 +/- 0.2 (SE), p = 0.001], yet had significantly fewer clinic visits per year compared with urban patients [2.8 +/- 0.2 (SE) vs. 3.5 +/- 0.1 (SE), p = 0.001]. Use of the Carelink system was associated with improved glycemic control in children with type 1 diabetes on insulin pump therapy.