An Overview of Ubiquitous Health Management System ABSTRACT Author Keywords ACM Classification Keywords I. INTRODUCTION Due to recent advancement in mobile technologies, high-capacity wireless network, sensor system, and wearable technology ubiquitous computing system is no longer a possibility, it is now reality. Ubiquitous computing deals with the idea how we can improve our quality of life by incorporating or interacting with technology in our everyday life. Health care is an ideal application domain for ubiquitous computing. A variety of health management solutions are available today and it is expected that more will be available in the near future. This technology has allowed researchers and clinicians to develop applications to monitor the patients in the home and community settings and provide real-time feedback information. This, in turn, is helping healthcare management to enable proactive response to critical health conditions by facilitating early detection of life threatening conditions rather than reactive response. This is particularly important in remote and rural areas where number of working physician are very less compare to the physician of urban areas. [A review of wearable sensors and systems with application in rehabilitation 8] In addition to unified access to historical information, this monitoring system provides low-cost technique to managing and monitoring elderly people, postoperative rehabilitation patients, and people with special
As consumers utilize smartphones, tablets, and other devices for other functions like social media and email, they are starting to look at these features to assist them with their healthcare. Mobile body area network devices will be a growing trend in the coming years as a way to get patients engaged in their healthcare and also to give providers routine updates on the status of patients with chronic conditions. As DeGaspari (2014) indicates, these devices can lead to improved functionality for other devices used in hospitals, such as sensors for monitoring patients that might get up and wander or be a fall risk. Telemedicine will continue to grow as payers, providers, and patients all start to realize the mutual benefits that can be
Today, the company has built a powerful platform for home healthcare that integrates wearable, sensors, voice technology and intuitive mobile apps and desktop interfaces for patients monitoring system at home. In addition, CareKit Health allows complex patients with chronic diseases to receive high quality care at home that results in improving
It communicates the individual patient information such as allergies, fall risk information, NPO order or food restrictions, precautions,isolation status, special contacts, which caregiver is currently in the room and whether or not the patient chooses to have visitors (NCH Healthcare System, 2015). Patient information that are displayed on the room link is automatically updated as they are entered the EMR/EHR. This helps to provide current and real-time information to the caregivers. It replaces the current paper method, sticky notes or magnet system of alerting healthcare providers of patient’s status (Sharbaugh & Boroch, 2010). Thus, using the ultrasound tags or real-time location tracking technology, the smart room will identify the healthcare worker as they enter the
The typical daily cost for single in patients in hospitals was over $1,700 in 2013, according to the Kaiser Family Foundation [10]. Remote monitoring products such as the BodyGuardian provide the healthcare advantages such as the option to move patients to their home and retain monitoring of their status by doctors and nurses. A paper [11] proposes an original, IoT-aware, smart architecture for automatic monitoring and tracking of patients, personnel, and biomedical devices within medical
The use of automated machines to detect changes in a patient whose medical status is being monitored is one of the greatest features of technology in patient care. In the inpatient setting as well outpatient clinics, nurses, advanced practice nurses and doctors greatly rely on physical changes through sight, touch
Abstract— In this paper, remembrance of body posture and motion is an important physiological function that can keep the body in balance and give the confidence to person. There are many man-made motion sensors have also been widely applied in biomedical applications including diagnosis of balance disorders and evaluation of energy outlay, calories consumption calculation. This paper reviews sensing components utilized for body motion measurement. The working principles of a natural body motion sensor, pulse rate of heart, are first described. Here various components like accelerometer, pulse rate sensor, ARM10 are then elaborated based on their characteristic sensing mechanisms. In this paper by introducing small, low cost, better sensors with a wireless network, the novel project aim to provide a path towards more independent living for all kind of people and play important role in basic research as well as hospital diagnosis.
Cutting down on time spent in hospitals leads to better patient disposition and thus longevity, especially since the elderly are at a much higher risk of developing infections and contracting diseases in hospital settings (Friedlander, 2015, para. 9). Technology is playing a huge role in making home health care successful. The introduction of affordable home healthcare technology such as electronic health records, mobile health devices and alarm integration tools are allowing the elderly to remain in the comfort of their home, while still receiving the care they need (Halvorson, 2013).
Innovations in mobile technology have brought remote healthcare management to the forefront of advanced medical care. The ability to record the cardiac activity of a patient at home has been available for some time. But that method utilized a recording device worn by the patient, which needed to be brought in to a hospital or doctor’s office for a healthcare professional to analyze. Today, real-time monitoring in the patient’s home is a reality.
Population Health Management is the management of the healthcare delivery system in a more clinically and cost effective way with a keen focus on quality and safety. Population Health Management is about applying the strategic management and interventions in a proactive way in order to reach the high utilizer population. Population Health seeks to create a continuum of care where care is not an outcome but it is a process instead. Care does not stop when a person walks out of the hospital or clinic, it is continuous and a warm hand off is required to take care of the extremely sick population. This initiative involves knowing the population you serve by conducting a health assessment and risk stratification. Then the population is further
The main objective of this study is to design a device requiring for the development of company own system that will support the existing app to monitor health, and will replace currently using market beacons. This research study is the result of work completed during the past eight weeks (120 hours) to draw a
Applications of low power integrated intelligent sensors [1–5] has been prolific in recent years, for instance in environmental observation [8–10], security surveillance [11] and infrastructure communication [12], and biomedical and healthcare monitoring [6, 7]. In particular, as the baby boomers enter retirement, medical cost becomes significant. For example, in 2014, health care accounted for 20% of federal spending in the U.S. []. A major problem in current healthcare systems is that sensing and processing medical data require significant resources. In order to alleviate this problem, wearable medical devices are expected to provide automatic monitoring and processing of physiology signals, and more importantly, identifying abnormal signals and contact medical systems for help if necessary, as shown in Fig. 1. Although such sensors usually have wireless data communication capability through body area network, due to limited battery power supply, sending raw sensed data is usually not an option. This is because that in a wireless sensor, usually radio communication power is much higher than signal processing power []. Thus, it is expected that the sensors are capable of providing preprocessing of raw data based on DSP algorithms and just sending the processed results. Such sensors are called ”intelligent sensors” []. Besides the capability of signal processing and wireless communication, low power, high accuracy, high reliability, and small footprint are also listed as
Abstract—Wearable devices, refer to electronic technologies or computers that are designed to be worn on the human body. The health issues are increasing day by day and many chronic diseases are there which needs continuous monitoring Hence we need a System which can monitor person continuously. Hence we have developed the system which will monitor person on continuously without any support from Professionals. Also it will send measured parameter to server so that anyone can monitor it from anywhere. The wearable device will have some form of communications capability and will allow the wearer to access information in real time. We have developed mobile data acquisition (DAQ) solution based on an android, which collects personalized health information of the end-user physiological signals are acquired by the sensors which attached on the Human body, store analyze and visualize it on the smart phone and sends it towards the server for further processing. Also for continuous monitoring, we need our system to be power efficient hence we use BLE Device which is more efficient than our classical Bluetooth. Thus it will increase the efficiency of our device and since we are monitoring the human body
In addition to sensors, the electronics package can contain wireless networking capability, so they can not only convey sensor data easily, but also be controlled from a remote computer or smartphone. It functions as wearable electronic devices and replace traditional medical devices like heart monitors and provide higher quality data. For instance, smaller, less invasive sensors could be especially useful for monitoring premature babies or for studying patients with sleep apnoea without them wearing wires through the night.
There are prospects of developing assistive technologies to support care of the older adults using research work on HAR. E-Health systems like AAL can be developed by using patients ' routine data provided by activity recognition. The most common methods used to recognize human activity are image processing and usage of wearable sensors. Though image processing doesn 't require patient to wear any equipment, it has some major problems such as requiring installation of cameras and good light. In addition, its operations are restricted to indoor environments and users have privacy concerns. The use of wearable sensors has addressed all these problems, but requires wearing of equipment by the user for long durations[1]. In this paper, I discuss various models built using SAS® Enterprise Miner™ 14.1, on a free public domain dataset containing 165,633 observations and 19 attributes and compare each model with another . Data used in this discussion, represents the metrics of accelerometers mounted on waist, left thigh, right arm, and right ankle of 4 subjects performing five different activities. These activities, such as sitting-down, standing-up, standing, walking, and sitting, recorded over a period of eight hours of four healthy subjects is used for our analysis.
Wellness for human health is the important facts for individual and their physician or caregivers [6]. The human health condition may require assistance, which can be taken from a physician or monitored through various electronic devices and medical equipments. To know health condition people are using health monitoring devices and a they can view the result through the display screen of the small portable devices [6]. In an emergency situation the small portable devices help to monitor the condition immediately and take necessary action for the curing the health disorder.