An Overview Of Modern Health Management System

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.

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

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

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

There is an explosive growth in wearable computing devices over the past couple of years mostly due to technological advances in smart devices. Although most of these are self-care monitoring devices the need for assisted living where a patient can be monitored continuously using these devices are emerging fast. In a typical monitoring system, various vital biological signals, fall risks and changes in predetermined health conditions are collected via sensors and shared with health care professionals for intervention if necessary. Most popular applications of self-care monitoring include daily activity monitoring, emergency and fall detection and rehabilitation. Despite these useful applications, the paradigms such as autonomy, context awareness and spontaneous interactions are not well integrated into these existing systems yet.

Meeting the specific individual needs, namely providing care services at the home of the individuals together with intelligent applications, is one of the main strategies to guarantee independent living of older people. Considering this context, important AAL goals are to promote personal (e.g. medication reminder) and distance support (e.g. telerehabilitation programs) or to provide the caregiver with accurate, up to date information so that the right care at the right time can be delivered (e.g. continuous monitoring of physiological parameters or behaviors, emotions and activities). These goals can contribute to the overall effort to provide personalized (i.e. less organization-centered and more focused on the individuals) and affordable access to essential services with efficacy and efficiency. A combination of conventional service provisions together with home care solutions and intelligent applications have been designed in a considerable number of AAL projects [4] and might contribute to the required framework for independent living conditions. For that, in what concerns the health care domain, AAL devices and applications should promote a digital health continuum where health and social evidence and personal data can be used in the entire range from lifestyle management to hospitalization or institutionalization, which includes health prevention and promotion,

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

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).

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

Most of the literature has focused on remote patient monitoring. This is becoming vital in healthcare quality in recent years because of the benefits that it brings. Preuveneers and Berbers (2008, p.177) highlight that a context-awareness application based on the native mobile frameworks can offer support to individuals who suffer diabetes to make better choices or to manage their health independently. As a result, these advantages may lead to a more pleasant life for patients. The positive

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.

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

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.

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.