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Human–Computer Interaction
Published in Julie A. Jacko, The Human–Computer Interaction Handbook, 2012
François Sainfort, Julie A. Jacko, Molly A. McClellan, Paula J. Edwards
In a landmark study, Hoffman, Rice, and Sung (1996) estimated that American patients with chronic conditions make up 80% of all hospital bed days, 83% of prescription drug use, and 55% of emergency room visits. The presence of chronic disease has become the principal health burden in many developing countries as well. Chronic diseases were responsible for 50% of the disease burden in 23 developing countries in 2005 and will cost those countries $84 billion by 2015 if nothing is done to slow their growth (Nugent 2008). Compared with acute illnesses, effectively treating chronic conditions requires disease management and control over long periods of time, collaborative processes between providers and patient, and patient involvement, self-management, and empowerment.
Emerging Disruptive Technologies and Their Impact on Health Informatics
Published in Teena Bagga, Kamal Upreti, Nishant Kumar, Amirul Hasan Ansari, Danish Nadeem, Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics, 2023
Disruptive medical innovations is a concept which mainly focuses on customer needs and help in diagnosing diseases prior to their occurrence [1]. Wireless patient monitoring devices, mobile health, telemedicine and Internet of Things (IoT)–based solutions are the most commonly used disruptive medical innovations for maintaining patient monitoring practices and disease management. This research report plays a significant role in identifying the importance and benefits of using emerging technologies in healthcare industries. In this current COVID-19 pandemic, the death rate has been increasing, which is monitored using IoT devices, which will further help in obtaining relevant data for doctors about patients suffering from fatal diseases [3].
Pervasive Computing and Ambient Physiological Monitoring Devices
Published in Bruno Bouchard, Smart Technologies in Healthcare, 2017
Sung Jae Isaac Chang, Jennifer Boger, Jianfeng Qiu, Alex Mihailidis
To address this need, there is a trend towards developing technologies that support well-being and independent living, such as remote monitoring of vital signals. A goal of remote monitoring is to identify potential problems as close to their onset as possible, thereby enabling early interventions that can improve outcomes for both the person and the healthcare system. Remote monitoring also facilitates ongoing data collection in a stable condition. This permits long-term and continuous understanding of a person’s health, which could lead to better disease management (both by the clinicians and through self-management) and potentially fewer visits to doctors and hospitals.
Health care Monitoring System and Analytics Based on Internet of Things Framework
Published in IETE Journal of Research, 2019
Telecommunications play a vital role in the health care industry [2]. In fact, telemedicine or eHealth system is introduced for remote patient monitoring, home health care, and disease management. In 2015, a computer-based information system for health administration was developed and reported to greatly enhance the effective utilisation of available health care data and further streamline the data collection and reporting machinery [3]. Historically, such systems have not been widely adopted because of the cost constraints, immaturity, and the limitations of technologies. However, the emergence of the cloud computing and the Internet of things (IoT) paradigm promotes the advancement of eHealth applications. Instead of hardwired machine-to-machine (M2M) configuration with its many wired connections that take up vital space, IoT builds on cloud computing and acts as a network to collect data from sensors. In other words, IoT connects specific devices to the Internet, processes the data on the cloud and is capable of displaying the obtained information on any smart phone, tablet, or computer with network access. The communication in IoT is mobile, virtual, and instant, and it stands to dramatically change people's lives, workspace productivity, and consumption [4]. Thus, incorporating IoT into the current health care system is beneficial for patients, doctors, and the society. In fact, the use of IoT not only strengthens the ability of a doctor to examine, diagnose, and treat disease remotely, but also reduces the infrastructure cost and expense on both hospital and patient [5].
Exploratory Analysis of Internet of Things (IoT) in Healthcare: A Topic Modelling & Co-citation Approaches
Published in Information Systems Management, 2021
Ramakrishna Dantu, Indika Dissanayake, Sridhar Nerur
A survey conducted by Accenture Consulting on the Internet of Health Things found that remote patient monitoring (RPM), wellness and prevention, and operations are the three major areas positively impacted by healthcare IoT (Kalis & Wisdom, 2017). According to the survey, about 10% of IT investments by today’s healthcare companies is for IoT-based solutions. Similarly, IoT- and patient-generated data can significantly enhance diagnosis, disease management, and treatment processes. Healthcare providers can use big data to detect and devise treatment plans for at-risk patients (Krawiec et al., 2015). IoT are redefining how people connect, interact, and exchange information, transforming practically every industry. Examples of Internet-enabled devices include kitchen appliances such as refrigerators, smart TVs, vending machines, transportation vehicles such as cars, and even biometric devices used for monitoring the heart (e.g., pacemakers) and blood pressure. This list of “things” that are connected continues to grow with more devices being added every day. By 2020, over 20 billion connected things will be in use (Gartner, 2017) and is projected to grow to over 75 billion by 2025 (Statista, 2018). These connected biometric devices are expected to generate more than 20 trillion gigabytes of data by 2025 and will have huge implications for healthcare, particularly in the areas of remote and real-time monitoring of patients, telemedicine, chronic illness management, physician–patient interaction, patient engagement, elderly care, and influencing patient behavior, to name but a few of the growing number of applications. By 2020, 40% of IoT-related technology is estimated to be health-related, constituting a 117 USD billion market that will far exceed any other domain (Bauer et al., 2014). It is conceivable that our lives will change dramatically as IoT realize their fullest potential.
Considerations for developing chronic care system for traumatic brain injury based on comparisons of cancer survivorship and diabetes management care
Published in Ergonomics, 2018
Siobhan M. Heiden, Barrett S. Caldwell
A full elaboration of the CCM elements is beyond the space limitations of this paper. However, the goals for each of these elements are briefly described as follows (GHRI 2016):Health System. Create an organisation whose culture and structures are prepared for improvement changes at all organisational levels to meet the purpose of delivering safe, high-quality health care.Delivery System Design. Define team member roles and tasks, use evidenced-based care and case management, and tailor care to patients’ cultural background to meet the goal of delivering effective and efficient clinical care and self-management support (SMS).Self-Management Support. Articulate the patient’s role in disease management and provide appropriate internal and community resources to empower patients to effectively manage their health.Decision Support. Ingrain evidence-based guidelines into clinical practice, including sharing these guidelines with patients, to deliver clinical care that aligns with current scientific evidence and patient preferences.Clinical Information Systems. Compile and organise patient- and population-level data to facilitate effective and efficient care through personalised reminders and enhanced coordination between various providers as well as patients.The Community. Organise and engage community organisations to assist and advance interventions for needed services and to advocate for patient care policies to meet patient needs beyond clinical ones.