A Trusted Ubiquitous Healthcare Monitoring System for Hospital Environment

Author(s):  
Durga Prasad ◽  
Niranjan N. Chiplunkar ◽  
K. Prabhakar Nayak

Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of the network is Ubiquitous health monitoring system. The technology has brought Internet of Things into this system making it to get connected to the cloud based internet. This has made the retrieval of information to the expert and thus improving the happiness of elderly people and patients suffering from chronic diseases. This paper focuses on creating an android based application for monitoring patients in hospital environment. The necessity of sharing hospital data to the experts around the globe has brought the necessity of trust in Health care systems. The data sharing in the IOT environment is secured. The environment is tested in real-time cloud environment. The proposed android application serves to be better architecture for hospital monitoring.

2020 ◽  
pp. 579-592
Author(s):  
Durga Prasad ◽  
Niranjan N. Chiplunkar ◽  
K. Prabhakar Nayak

Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of the network is Ubiquitous health monitoring system. The technology has brought Internet of Things into this system making it to get connected to the cloud based internet. This has made the retrieval of information to the expert and thus improving the happiness of elderly people and patients suffering from chronic diseases. This paper focuses on creating an android based application for monitoring patients in hospital environment. The necessity of sharing hospital data to the experts around the globe has brought the necessity of trust in Health care systems. The data sharing in the IOT environment is secured. The environment is tested in real-time cloud environment. The proposed android application serves to be better architecture for hospital monitoring.


Author(s):  
Durga Prasad ◽  
Niranjan N. Chiplunkar ◽  
K. Prabhakar Nayak

Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of the network is Ubiquitous health monitoring system. The technology has brought Internet of Things into this system making it to get connected to the cloud based internet. This has made the retrieval of information to the expert and thus improving the happiness of elderly people and patients suffering from chronic diseases. This paper focuses on creating an android based application for monitoring patients in hospital environment. The necessity of sharing hospital data to the experts around the globe has brought the necessity of trust in Health care systems. The data sharing in the IOT environment is secured. The environment is tested in real-time cloud environment. The proposed android application serves to be better architecture for hospital monitoring.


Author(s):  
An Vinh Bui-Duc

TÓM TẮT Đặt vấn đề: Đại dịch COVID-19 (coronavirus disease of 2019) do chủng vi rút Corona mới SARS-CoV-2 vẫn đang bùng phát trên toàn thế giới, gây gia tăng gánh nặng lên Hệ thống chăm sóc Y Tế các quốc gia. Chính vì vậy, việc phát triển hệ thống giúp hỗ trợ chẩn đoán và theo dõi bệnh nhân COVID-19 từ xa được xem là vấn đề cấp thiết hiện nay. Trong đó, chỉ số SpO2 có vai trò quan trọng đối với bệnh COVID-19 và được lựa chọn để theo dõi bệnh nhân tại các Cơ sở Y tế cũng như tại nhà. Nghiên cứu này được chúng tôi thực hiện với mục đích đánh giá hiệu quả ban đầu của hệ thống theo dõi SpO2từ xa trên các bệnh nhân COVID-19 mức độ nhẹ - trung bình. Đối tượng, phương pháp: Nghiên cứu cắt ngang, theo dõi dọc ngắn hạn các bệnh nhân COVID-19 mức độ nhẹ - trung bình điều trị tại Trung tâm Hồi sức Tích cực điều trị bệnh nhân COVID-19 trực thuộc Bệnh viện Trung Ương Huế tại TP. Hồ Chí Minh. Kết quả: Trong giai đoạn từ 8/2021 - 10/2021, 32 bệnh nhân COVID-19 được gắn thiết bị theo dõi chỉ số SpO2, trung bình là 34,2 ± 12,0 tuổi. Các yếu tố nguy cơ bao gồm: BMI xếp loại béo phì 25%, hút thuốc lá (18,8%), tăng huyết áp (15,6%) và đái tháo đường (12,5%). Phần lớn bệnh nhân vào viện do khó thở (71,9%) và chuyển từ tuyến dưới (62,5%). Triệu chứng lâm sàng chủ yếu là ho, hắt hơi, chảy mũi nước (40,6%), theo sau đó là giảm hoặc mất khứu giác, vị giác (25%). 81,3% có D-Dimer ≤ 500ng/mL. 62,5% bệnh nhân được phân độ COVID-19 mức trung bình. Tổng cộng 3.161 lượt đo SpO2, trong đó có 8 lượt cảnh báo SpO2 < 93%. SpO2 trung bình 98,1 ± 0,2 %. Tất cả bệnh nhân xuất viện thành công. Kết luận: Hệ thống theo dõi SpO2 từ xa bước đầu có hiệu quả giúp theo dõi các bệnh nhân COVID-19 mức độ nhẹ - trung bình. ABSTRACT INITIAL EFFECTIVENESS EVALUATION OF THE REMOTE SPO2 MONITORING SYSTEM IN PATIENTS WITH MILD - TO - MODERATE COVID-19 DISEASE Background: The COVID-19 pandemic affected by the new Coronavirus SARS-CoV-2 continues to spread globally, increasing the burden on countries’ Health Care systems. Therefore, generating a platform to help diagnose and monitor COVID-19 patients remotely is considered an essential issue today. In particular, the SpO2 index plays a vital role in COVID-19 disease and is selected to monitor patients at health facilities and homes. This study aimed to evaluate the initial effectiveness of the remote SpO2 monitoring system in patients with mild - to - moderate COVID-19 diseases. Methods: This cross - section study was conducted on mild - to - moderate COVID-19 patients treated at the COVID-19 Intensive Care Center operated by Hue Central Hospital in Ho Chi Minh City, Vietnam Results: From August 2021 to October 2021, 32 COVID-19 patients were applied with SpO2 monitoring smartwatches. The mean age was 34.2 ± 12.0. Risk factors including obesity (25%), smoking (18.8%), hypertension (15.6%), and diabetes (12.5%). Most patients were admitted to the center due to shortness of breath (71.9%) and transferred from lower - level hospitals (62.5%). The main clinical symptoms are coughing, sneezing, runny nose (40.6%), followed by a decrease or loss of smell and taste (25%). 81.3% of patients had D-Dimer ≤ 500 ng/mL. 62.5% of patients had moderate COVID-19 grades. A total of 3,161 SpO2 measurements, including 8 alarms < 93%. The average SpO2 was 98.1 ± 0.2 %. All patients were discharged successfully. Conclusion: A remote SpO2 monitoring system is considered to have preliminary effectiveness in monitoring mild - to - moderate COVID-19 patients. Keywords: COVID-19, blood oxygen saturation, smartwatch, health monitoring system.


2019 ◽  
Vol 8 (4) ◽  
pp. 619
Author(s):  
H. A. Saeed ◽  
M. H. Mazlan ◽  
A. H. Ibrahim ◽  
H. E. Hamzah ◽  
H. H. Qasim ◽  
...  

Healthcare monitoring is a field that caught many researchers from the computer science community in the last decade. In the literature, various levels of people have been considered when proposing a health monitoring system. However, some aspects are still not adequately tackled such as monitoring workers’ health status within confined space where workers would be located in underground environment with less oxygen and a lot of dust. This paper proposes an IoT health monitor system for worker in confined places. The proposed system utilizes four types of microcontroller sensors including LM35 for measuring body temperature, heart beat rate sensor, blood pressure sensor and LPG gas sensor. All the aforementioned sensors are being connected via a GPS module in order to transmit the readings into a smartphone application. A simulation has been conducted to test the proposed sensors where competitive commercial measures have been used as a benchmark. Result of simulation showed that the sensors have fair accuracy that is near-identical to the benchmark. 


Author(s):  
Osman Yakubu ◽  
Emmanuel Wireko

The advent of the internet of things (IoT) has resulted in an upsurge in the deployment of digital health care systems enabling patients’ health conditions to be remotely monitored. This article presents an intelligent and automated IoT-based vital signs monitoring system to aid in patient care. A the oretical framework was established to guide the development of a prototype. It encompasses the patient, IoT sensors, input and storage unit and data processing, analysis and data transmission. The prototype is equipped with the capability of sensing a patient’s body temperature, heart rate, and respiration rate in real time and transmits the data to a cloud data repository for storage and analysis. Alerts are sent to caregivers using SMS, email and voice calls where urgent attention is required for the patient. The voice call isto ensure a caregiver does not miss the alert since SMS and email may not be checked on time. To ensure privacy of patients, a caregiver has to be biometrically verified by either fingerprint or facial pattern. The experimental results confirmed the accuracy of the data gathered by the prototype, privacy of patients is also guaranteed compared to other benchmark systems.


2019 ◽  
Vol 9 (9) ◽  
pp. 1884 ◽  
Author(s):  
Mohammad Shahidul Islam ◽  
Mohammad Tariqul Islam ◽  
Ali F. Almutairi ◽  
Gan Kok Beng ◽  
Norbahiah Misran ◽  
...  

Internet of Things (IoT) based healthcare system is now at the top peak because of its potentialities among all other IoT applications. Supporting sensors integrated with IoT healthcare can effectively analyze and gather the patients’ physical health data that has made the IoT based healthcare ubiquitously acceptable. A set of challenges including the continuous presence of the healthcare professionals and staff as well as the proper amenities in remote areas during emergency situations need to be addressed for developing a flexible IoT based healthcare system. Besides that, the human entered data are not as reliable as automated generated data. The development of the IoT based health monitoring system allows a personalized treatment in certain circumstances that helps to reduce the healthcare cost and wastage with a continuous improving outcome. We present an IoT based health monitoring system using the MySignals development shield with (Low power long range) LoRa wireless network system. Electrocardiogram (ECG) sensor, body temperature sensor, pulse rate, and oxygen saturation sensor have been used with MySignals and LoRa. Evaluating the performances and effectiveness of the sensors and wireless platform devices are also analyzed in this paper by applying physiological data analysis methodology and statistical analysis. MySignals enables the stated sensors to gather physical data. The aim is to transmit the gathered data from MySignals to a personal computer by implementing a wireless system with LoRa. The results show that MySignals is successfully interfaced with the ECG, temperature, oxygen saturation, and pulse rate sensors. The communication with the hyper-terminal program using LoRa has been implemented and an IoT based healthcare system is being developed in MySignals platform with the expected results getting from the sensors.


IOT has plays important role in the upcoming technologies. It is connecting appliance each other over the internet. The main purpose of this paper is to give better services for remote place patient. Our plan is to design the Human Health Monitoring System based on IOT is measure the patient’s Heart rate, temperature, drop down detection and giving the caution in critical situation. It can be used to promote basic nursing care in the hospital environment by improving the quality of care and patient safety. Rural area of India is lack behind from the proper patient monitoring system. The main objective is to give the awareness instruction and also remote monitoring by sharing proper information in an authenticated manner and decreases valuable time of doctors. They don’t need to wait for the reports because sensors are giving real time data. It is useful rural areas people.


2002 ◽  
Vol 25 (1) ◽  
pp. 40 ◽  
Author(s):  
Don Hindle

This paper summarises the structure of the State's health care system, and then focuses on the main processes of resource allocation: needs-based funding of 17 Area Health Services, and output-based funding of specific service providers. The general model is widely accepted by informed observers to be fundamentally sound. In particular, the resource distribution formula whereby needs-based allocations are made is a largely valid model that has been progressively refined over fifteen years and is probably as good as any in the world. I conclude that the recent decision to require Area Health Services to use a common framework for out-put-based funding was long overdue, and that many of its features represent best practice. However, I argue that more shouldbe done to refine some of the details and that NSW Health might need to give more consideration to ideas that have been tested and evaluated in other health care systems.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Vankamamidi S. Naresh ◽  
Sivaranjani Reddi ◽  
Nistala V. E. S. Murthy

Patient safety is a global public health concern nowadays, especially in elderly people who need physiological health monitoring systems integrated with a technology which will help to oversee and manage the medical needs. In this direction, we propose a lightweight effective healthcare monitoring system designed by using the Internet of Things (IoT) and Radio Frequency Identification (RFID) tags. In this technique, we use dual-band RFID protocols which are the one working at a high frequency of 13.56 MHz and useful to figure out the individuals, and 2.45 GHz microwave bands are used to monitor corporal information. Sensors are used to monitor and collect patient physiological data; RFID tag is used to recognize the patient. This IoT-based RFID healthcare monitoring system provides acquisition of physiological information of elderly people and patients in hospital. Further, it is aiming to secure patient’s health recordings using hyper elliptic curve- (HEC-) based signcryption algorithm while allowing the doctor to access patient health information. Privacy is provided to variable length patient medical records using different genus curves, and the evaluation shows that the proposed algorithm is optimal with respect to healthcare.


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