Smart Health Systems Research Articles

Knowledge management in cyberphysical systems: determining the quality requirements for health systems with the Kano model

This paper focuses on knowledge management in cyberphysical systems (CPS), dealing with the importance and influence of smart technologies for the creation of the smart health systems as a part of the smart home. This approach considers the reorganisation and adaptation of medicine and health systems, building the research framework upon knowledge management 4.0 for health systems. Customer satisfaction or dissatisfaction was researched using the qualitative methodology of the Kano model. The questionnaire deals with five factors that play a crucial role in the decision to purchase such a system: 1) software reliability; 2) medical device interoperability; 3) security and privacy; 4) system feedback; 5) architecture. The results show that attractive requirements, such as architecture and medical device interoperability, have high values for customer satisfaction and low scores for customer dissatisfaction.

Smart Health – Potential and Pathways: A Survey

Healthcare is an imperative key field of research, where individuals or groups can be engaged in the self-tracking of any kind of biological, physical, behavioral, or environmental information. In a massive health care data, the valuable information is hidden. The quantity of the available unstructured data has been expanding on an exponential scale. The newly developing Disruptive Technologies can handle many challenges that face data analysis and ability to extract valuable information via data analytics. Connected Wellness in Healthcare would retrieve patient’s physiological, pathological and behavioral parameters through sensors to perform inner workings of human body analysis. Disruptive technologies can take us from a reactive illness-driven to a proactive wellness-driven system in health care. It is need to be strive and create a smart health system towards wellness-driven instead of being illness-driven, today’s biggest problem in health care. Wellness-driven-analytics application help to promote healthiest living environment called “Smart Health”, deliver empower based quality of living. The contributions of this survey reveals and opens (touches uncovered areas) the possible doors in the line of research on smart health and its computing technologies.

Framework for Smart E-health Monitoring System

Objectives: The Smart E health monitoring system is the today’s emerging technology system which tries to provide us risk free environment. The factors which are major for our health problem must be addressed first and make the life risk free. An Internet of Things (IoT) indus t r y is making modern health care with promising technological and social aspects. This smart Health system is based on state-of-the-art network architectures and applications in IoT-based health care solutions. Methods/Statistical Analysis: The modern E-health monitoring system is based on real time by using IoT and which is developed by considering the low cost, ease of application, accuracy and data security. By using wearable sensors while holding an Android device. The proposed system is reliable and helpful due to good bandwidth based. It is convenient and reliable and low cost with data security in all aspects.Findings: Smart healthcare are future needs which can be use in robotic ruse assistant, artificial retinas, advances in prosthetics, remote patient monitoring, electronic underwear preventing bed sores. This system monitoring the patient heart condition, blood pressure and pulse.Application/Improvements: The user give pressure in on his smart wearable device he will be monitored through sensor network system. It will be easy for doctor to check patient health remotely. In this paper, we discuss the proposed model and the opportunities and challenges for smart E-health in realizing this vision of the future of health care.Keywords: Android Device, Internet of Things, Smart E- Health, Wearable Sensor

Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective.

Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, health informatics professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional's toolkit.

PHR open platform based smart health service using distributed object group framework

As an interest in health and disease has increased, medical service has changed to prevention of disease and health care from treatment oriented service. Medical service industry is creating various services and added value for promotion of health. Aging, extension of life expectancy, increase in lifestyle and income growth have brought about a change in paradigm of medical service which led smart health to become an important issue. Smart health caused medical service for promotion of health to change into remote medical treatment that uses personal health record from medical service which has been provided by mainly large hospitals. Medical service for promotion of health has developed into u-Healthcare which monitors condition of health in everyday life. This enabled problems of time and space constraints that occur in medical service for promotion of health that requires a medical doctor to examine bio-signal related information of a patient while facing a patient to be solved. It is difficult for a remote medical treatment to care for chronic patients who require a care of lifestyle because it focuses on treating specific diseases. As a remote medical treatment does not provide innovative medical service and it only delivers general bio information on a patient to a medical doctor remotely, remote medical open platform is needed. Thus, in this paper, we proposed a PHR open platform based smart health services using the distributed object group framework. A PHR open platform based smart health system is distributed object group framework based smart health service for managing chronic diseases. When Medical WBAN sensor uses multi-channel in transmitting data, emergency data is very important in patient's life, smart health environment is built using distributed network considering importance according to data. As WBAN sensor is very different from other networks in terms of application, architecture and density of development, it is important for WBAN sensor to be combined with external network. High quality of service of integrated network as well as link connectivity should be maintained. Since automatic diagnosis function should be reinforced in order for remote diagnosis service to be provided, integration of each small unit system and model design are important. Therefore, smart health network environment that makes the most of performance of distributed network based on automation technique and distributed agent for optimum design of system is built.

Organizational and Technological Correlates of Nurses’ Trust in a Smart Intravenous Pump

The aim of this study was to understand technology and system characteristics that contribute to nurses' ratings of trust in a smart intravenous pump. Nurses' trust in new technologies can influence how technologies are used. Trust in technology is defined as a person's belief that a technology will not fail them. Potential outcomes of trust in technology are appropriate trust, overtrust, distrust, and mistrust. Trust in technology is also related to several use-specific outcomes, including appropriate use and inappropriate use such as overreliance, disuse or rejection, or misuse. Understanding trust in relation to outcomes can contribute to designs that facilitate appropriate trust in new technologies. A survey was completed by 391 nurses a year after the implementation of a new smart intravenous pump. The survey assessed trust in the intravenous pump and other elements of the sociotechnical system, individual characteristics, technology characteristics, and organizational characteristics. Results show that perceptions of usefulness, safety, ease of use, and usability are related to ratings of trust in smart intravenous pumps. Other work systemfactors such as perception of work environment, age, experience, quality of work, and perception of work performance are also related to ratings of trust. Nurses' trust in smart intravenous pumps is influenced by both characteristics of the technology and the sociotechnical system. Findings from this research have implications for the design of future smart intravenous pumps and health systems. Recommendations for appropriately trustworthy smart intravenous pumps are discussed. Findings also have implications for how trust in health technologies can be measured and conceptualized in complex sociotechnical systems.

Advanced Wearable Health Systems and Applications - Research and Development Efforts in the European Union

Research and development on smart wearable health systems and applications (SWHSA) was motivated by the need to respond successfully to the healthcare challenges of reducing healthcare costs while maintaining a high quality of care, providing ubiquitous easy access to care, and shifting the focus of healthcare expenditure from treatment to prevention through wellness programs. Physiological monitoring with SWHS has so far dealt mostly with measurement of vital signs like ECG, heart rate, respiratory rate, skin temperature, and posture. There is a trend to extend monitoring capabilities toward biochemical variables. There are several promising techniques for achieving this type of monitoring in a purely noninvasive, painless way. One could thus envisage the integration of noninvasive transdermal biosensors in SWHS;e.g., in biomedical clothes. The future development of intelligent biomedical clothing (IBC) based on full integration of sensors/actuators, energy sources, processing, and communication within the clothes could overcome barriers to existing wearable health systems. The area of SWHSA is further developed in FP6 (Framework Program 5) of the EC, through significant support of new functionalized systems based on the integration of several technologies and disciplines such as micro/nanotechnologies, textile materials, physiology, biology/biochemistry, and ICT (information and communication technologies) as well as data integration and decision support. This area is expected also to be further developed within FP7.