Fig 3 - uploaded by Agostino Giorgio
Content may be subject to copyright.
Source publication
Similar publications
Citations
... Therefore, standardized procedures and related regulations need to be developed so that both doctors and patients receive legal protection. The good infrastructure and medical device standard need to be developed to keep privacy and appropriate diagnosis [23][24]. ...
Telemedicine service has been developed in Indonesia and its use has increased during the Coronavirus Disease 2019 (Covid-19) pandemic. This service makes it easier for people to get health services without meeting face-to-face. One of them is getting electronic medical certificates i.e. sick leave. However, problems arose regarding the legitimacy of electronic sick leave certificate (e-sick leave) through telemedicine services. This study aims to analyse the legal aspects of electronic sick leave in Indonesia. This research was normative research with statue and conceptual approach. Regulations in Indonesia have not discussed in detail the provision of electronic sick leave through telemedicine services. During the Covid-19 pandemic, Indonesian Medical Council Regulation Number 74 of 2020 was issued which permitted the issuance of sick certificates in telemedicine services with due observance of the principles of caution and high accountability. However it does not regulate in detail the provision of electronic sick leave through telemedicine services. Further regulations comprising of specific requirements and procedures are needed in Indonesia regarding telemedicine services, specifically in order to have valid electronic sick leave certificate issuance that can guarantee patient safety and accountability. Technological support is also needed to support the examination of patients in telemedicine services. Issuance of electronic sick leave requires collaboration between health care facilities and companies.
... intelligence, [1][2][3] autonomous vehicles, [4][5][6] and telemedicine [7][8][9] are emerging applications that are gaining considerable attention. In each of these applications, the development of image sensor-based camera technology is crucial. ...
Optically‐guided memory devices, with its photo‐response, allow for photodetector and memory functions to be combined in a single device. As a result, the issue of unnecessary signal delay can be alleviated by reducing the metal wire between the photodetector and the memory device, and the function of two different devices can be performed simultaneously, which enables an image recognition system to be miniaturized. With such advantages, optically‐guided memory is therefore considered to be highly promising as a potential key component for next‐generation applications where image detection and processing capabilities are paramount. Here, a wafer‐scale 12 × 12 dinaphtho[2,3‐b:2′,3′‐f]thieno[3,2‐b]thiophene (DNTT)‐based optically‐guided memory transistors (OMT) array with a cumulatively stacked small‐molecules/fluoropolymer/copper‐oxide nanoparticles structure is demonstrated. The proposed OMT is formed in 4 different states depending on the light intensity. Furthermore, read current (IRead) and threshold voltage (Vth) in the programming state (P‐state) of OMT is maintained stably even after 20 days. Based on the optimized DNTT thickness, a wafer‐scale 12 × 12 OMT array is fabricated consisting of 144 devices for text image detection with 100% yield. This study also demonstrates a text image detection with non‐volatile memory characteristics depending on the presence or absence of light irradiation. This work presents optically‐guided memory transistors (OMTs) by means of a cumulatively stacked small‐molecules/fluoropolymer/copper‐oxide nanoparticles structure. The proposed devices exhibit 4 different memory states depending on the light intensity. Furthermore, a wafer‐scaled 12 × 12 OMT array of 144 devices is implemented to demonstrate text image detection.
... represents a new approach to medicine which can be defined as the utilization of medical history and information shared from one party to another via electronic communications to enhance, assist or maintain patients' health status (Field et al., 2002;Xiao, 2008;Giorgio, 2011, Shams, 2014. For a border definition, telemedicine is associated with the term 'Telehealth" which defines the remote healthcare (Lazarev, 2016;Higgs, 2014). ...
The attention garnered by the Internet of Things (IoT) term has taken the world by a storm. IOT concepts have been applied to various domains revolutionizing the way business processes are conducted. Health Informatics is a nascent multidisciplinary field that aims at applying information engineering concepts to healthcare. The information traditionally came from a variety of sources such as healthcare IT systems but recently is being stored in variety of IOT devices. Application of IOT concepts is becoming the norm giving rise to the Internet of Medical Things (IOMT). However, IOMT introduces many challenges such as the real-time nature, security, and privacy of data along with others. Thus, understanding the underlying structure of IOMT is of paramount importance. Given the importance of the underlying networks, we explore various solutions currently employed in developing the Personal Area Networks (PANs) that are the underlying cornerstone of IOMT). PANs allow the sensors to measure the change in various stimuli and transmit the information via LANs and WANs to various stakeholders. This chapter will look at three standards that are currently used by both academia and industry along with Body Area Networks (BANs). The chapter also provides a survey of prevalent IOMT applications along with various vendors that provide such services.
... Telemonitoring is characterized by the use of vital data sensors necessary for diagnosis as blood pressure, weight, temperature, blood oxygen saturation, etc. These sensors are, in most cases, wireless (Bluetooth, Wi-Fi, etc) for more freedom of movement and portability [3]. Other sensors can be used as behavioral sensors (for example if the patient's spirit to climb stairs that affects blood pressure), or environmental sensors such as ambient temperature. ...
Dating back to the development of modern medicine, pandemic and epidemic diseases, such as bubonic plague, smallpox, the plague of Justinian, and the Antonine Plague, have caused massive damage to the human race. For instance, more than 200 million people are estimated to have died due to Black Death (bubonic plague) alone. This situation has not changed in near history either. Diseases such as influenza, HIV/AIDS, severe acute respiratory syndrome, Ebola, Middle East respiratory syndrome, and coronavirus disease 2019 (COVID-19), as today, have emerged and threatened the modern human life. The common feature of these diseases can be listed as having a high risk of infection and transmission, rapidly spreading to large areas, and having high mortality rates and causing permanent damage to the body because of the low immunity profile of the exposed population. If the number of cases increases rapidly for these diseases, the capacity of healthcare services can be exceeded and healthcare services can be threatened as well. These characteristics of pandemic diseases force the authorities to take extraordinary precautions such as isolation and quarantine to reduce the risk of infection. However, these applications can make it difficult to provide proper health services to patients. The development of information technologies provides patients an easy and remote access to healthcare services via telemedicine applications. Telemedicine is used for diagnosis and treatment of diseases by following the same practices used in clinics. It also provides care givers a real-time and remote monitoring of their patients, which can be beneficial in terms of reducing the risk of infections and maintaining healthcare services during a pandemic. Authorities can also use these telemedicine applications to track infected patients and get necessary precaution to minimize the infection risk. This chapter introduces the latest telemedicine applications for epidemic and pandemic diseases, especially for COVID-19. These potential applications could improve and transform the current practices for pandemic disease management.
