Smart Systems for Industrial Applications. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
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Жанр произведения: Программы
Год издания: 0
isbn: 9781119762041
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rel="nofollow" href="#ulink_659993c1-1002-54d3-9710-42783966bf1b">Figure 1.1.

Schematic illustration of eHealthcare system design.

      Even though it has many advantages, the implementation of the ICT in practice is quite a complex one and requires a different level of changes by the healthcare providers and the healthcare organizations. It facilitates the sharing of data across the continuum of care across healthcare delivery organizations and different geographical areas. It mainly avoids unnecessary therapeutic interventions through the healthcare establishment and patient involvement.

      The acquired data sources are accessed by the authorized healthcare member where the entire medical healthcare statistics of the patient are all displayed to the specialized person. It has also maintained a healthcare decision system that is more emerging features that will provide the solutions for the already existing diagnosis. This eliminates the repetitive task of producing the same results. It is also connected with the health records system and the research centers, so the data will serve as a tool for the modern medical development process. The regular steps carried in the day-to-day medical procedures are all automated in the eHealthcare system and the accuracy is one of the prominent features in this method. The laboratory information system provides the ease of access to the records and manages and stores the data for clinical laboratories [4], tracking of the test orders and sending those data in the digitalized form through a searchable database.

      Mobile health is another critical paradigm, which overcomes the geographical, organizational, and temporal barriers in healthcare services. The idea has evolved in accordance with the technological changes in communication protocols that have changed from GSM, GPRS, wireless LAN to 4G and, more recently, 5G communication technologies [5]. The wireless ECG transmissions, wireless ambulance services, video images and teleradiology, and other integrated mobile telemedical monitoring systems are some examples of applications of 2G and 3G technologies. The evolution of mHealth for personalized medical systems with flexible functionalities is possible because of the development of 4G networks. Moreover, the reduced latency and good media services in healthcare are achieved with the advent of 5G communication technologies in mobile healthcare.

      Personalized health is user-specific, and it is targeted toward taking patient-specific decisions. It is also called otherwise as adaptive health. In personalized health, the sources of data include wearable devices and sensors with implementable micro- or nanotechnologies. The data collected from these devices are combined at the decision center for making up any decision [6]. The idea can be enhanced to P4 medicine, in which the data sources could be the genetic information from each individual.

Source Technology Applications in healthcare
[1, 2] eHealth Health information networksElectronic health recordsTelemedicine servicesWearable and portable devicesHealth portals
[3] Digital Healthcare Digital health information softwareDigital health strategy
[4] Impact of eHealth Technology eHealth measure51% of people with multiple chronic conditions use eHealth for self-management on a daily basis
[5] e-med Wireless internet telemedicineWireless ECG transmissionWireless ambulance servicesTele-radiologyMobile tele-medical monitoring system
[6] Ubiquitous and personalized eHealth Intelligent mobile agentsWearable devicesSensors with implementable micro or nanotechnologies
[7] Smart health Remote ECG monitoringMobile Picture Archiving and Communications System (PACS)-X-ray services
[8] mHealth Machine-to-machine (M2M) communicationM2M processes health records like blood pressure, body temperature and heart rate

      The collective insight on one’s biology can address the source of disease and the condition of health, which can impact screening and diagnosis. Smart health is supported by smart devices like mobile phones and likely devices for the practicing of public and individual healthcare. Other than mobile phones, the devices used for smart health include sensors, robots, smart cards, and the internet with a pay-according to user basis [7].