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In wearable devices, power consumption is a serious issue since wearable devices must maintain the power-on state at any time. In healthcare system, a variety of signal processing operations occupy a large portion of overall workload because it has periodic and heavy computational workloads. In this paper, we propose a low-power System on Chip (SoC) architecture for wearable healthcare devices. In order to reduce power consumption of processor, we design a hardware accelerator that handles signal processing and provides computation offloading. Furthermore, to minimize the area and maximize the performance of the accelerator, we optimize the operation bit-width by analyzing the frequency response. The low-power healthcare SoC was fabricated with 0.11$\mu$m CMOS process. Finally, we measured the power consumption of our chip and verified the applicability of the digital filter accelerator, which reduces the energy consumption for embedded processor.

In this work, using a detailed dataset furnished by National Health Authorities concerning the Province of Pavia (Lombardy, Italy), we propose to determine the essential features of the ongoing COVID-19 pandemic in terms of contact dynamics. Our contribution is devoted to provide a possible planning of the needs of medical infrastructures in the Pavia Province and to suggest different scenarios about the vaccination campaign which possibly help in reducing the fatalities and/or reducing the number of infected in the population. The proposed research combines a new mathematical description of the spread of an infectious diseases which takes into account both age and average daily social contacts with a detailed analysis of the dataset of all traced infected individuals in the Province of Pavia. These information are used to develop a data-driven model in which calibration and feeding of the model are extensively used. The epidemiological evolution is obtained by relying on an approach based on statistical mechanics. This leads to study the evolution over time of a system of probability distributions characterizing the age and social contacts of the population. One of the main outcomes shows that, as expected, the spread of the disease is closely related to the mean number of contacts of individuals. The model permits to forecast thanks to an uncertainty quantification approach and in the short time horizon, the average number and the confidence bands of expected hospitalized classified by age and to test different options for an effective vaccination campaign with age-decreasing priority.

In the new paradigm of health-centric governance, policymakers are in constant need of appropriate metrics to determine suitable policies in a non-arbitrary fashion. To this end, in this paper, a compartmentalized model for the transmission of COVID-19 is developed, with a socially distanced compartment added to the model. The modification allows for administrators to quantify the extent to which voluntary social distancing norms are followed, and address restrictions accordingly. Modifications are also made to incorporate inter-region migration, and suitable metrics are proposed to quantify the impact of migration on the rise of cases. The healthcare capacity is modeled and a method is developed to study the consequences of the saturation of the healthcare system. The model and related measures are used to study the nature of the transmission and spread of COVID-19 in India, and appropriate insights are drawn.

Chinese Researchers Demonstrate that Icotinib Creates Better Progression-Free Survival with Fewer Side Effects than Whole Brain Radiation in Non-Small Cell Lung Cancer Patients with Brain Metastases.

Depressed Patients Are Less Responsive to Chemotherapy.

Sanofi and JHL Biotech Announced Strategic Biologics Alliance in China.

Chinese Scientists Developed Cancer Breath Test.

BGI Opens Seattle Office for North America Expansion.

Mederi’s Stretta Therapy for GERD Approved in China.

HONG KONG NEWS – Experts Call for Urgent Multi-Stakeholders Collaboration in the Development of an Integrated Cancer Strategy to Safeguard the Sustainability of Hong Kong's Health Care System.

HONG KONG NEWS – Uni-Bio Science in Multiple Drug Co-Development Deal with Beijing Sun-Novo.

HONG KONG NEWS – Immunotherapy with Pembrolizumab Deemed Cost-Effective for Advanced Melanoma Patients in Hong Kong.

It is an incubator for emergency premature delivery situations both in the case of need to help the neonate as well as the neonate and mother. It is inexpensive, portable and foldable to fill a reduced space both during storage and transportation. In folded position, it is reduced to a briefcase that can be carried by one person by any conveyance, including a motorcycle. Once deployed, the incubator can keep the neonate lying in its cabin under controlled environmental conditions and it can be attached to any vehicle, using its restraint systems. The briefcase has two parts: the back, containing all the elements for the control of ambient comfort in the incubator and the front cover, which can be moved away from the rest of the briefcase, deploying the cabin. In this cover, there is a transparent window through which the neonate can be introduced in the cabin. The control unit is capable of controlling the ambient temperature, both, in situations of cold and heat, as well as providing means for modifying the oxygen concentration and renewing the air inside the incubator cabin. The air inlet of the cabin is implemented by means of a specifically designed nozzle, able to prevent the formation of air currents inside.

With the popularity of smart phones, Android has a large number of users. Android allows download and installation of other unofficial healthcare system applications, so it has attracted the attention of malware developers for healthcare system. However, most of the papers proposed a variety of different methods to improve accuracy, and the samples tested by each method in the experimental part are different, which may cause errors in comparison. It shows that permission is an important of the development as mobile phone storage. Therefore, this paper proposed Android’s Permission and application program interface (API) as two features to perform machine learning to detect malicious programs business intelligence. It also uses machine learning method and other two algorithms to detect malicious programs. The average accuracy of using hybrid detection of unknown malicious programs reaches 89%, and the hit rate near 90%. The results show that under the same sample situation, the accuracy rate of the hybrid method used Random Forest is higher than the other two analyses. Compared with the dynamic analysis with others, it used the hybrid method and dynamic analysis has a high accuracy rate. The contribution of this paper is as follows: the advantage of static detection is that it does not need to execute Android application package (APK) features be extracted, and the speed is the fastest among the three detection modules. The features of dynamic detection for healthcare system are generated through the executed APK, and more powerful features can be extracted. Hybrid detection uses two method features, and extract most advantageous features to generate detection modules to detect APKs. The accuracy of static results about 87% in average, 88% for dynamic, and 89% for hybrid.

The new global predicament situation has raised questions on our healthcare systems and its endurance to deliver quality medical services. It is for those tormented with COVID-19 and other patients suffering from other chronic, acute, trauma, and other communicable diseases while shielding the doctors, nurses, and other associated medical employees when treating the patients. The immense adaptation to sensors networks demonstrates its usefulness as a tool for the present so-called social distancing in the clinical monitoring of COVID-19 patients or other settings. The utilization of Wireless Medical Sensor Network (WMSN) upsurges the prominence for those who work for long hours treating COVID-19 patients, exposing themselves while risking their lives. This paper attempts to explore few good practices identified from the current pandemic, with a precise and robust vision of deploying sensor networks to accomplish quality healthcare while reducing the potential threat of COVID-19 transmission to general masses while treating others.

The purpose of this paper was to examine the healthcare system in Japan, to review hospital management based on the results, and to discuss the necessity of the management accounting system, especially focusing on structure, process, and outcome as elements that comprise the quality of care.

The healthcare system in Japan has been highly evaluated from the viewpoint of outcome represented by life expectancy. To those outcomes, the government has controlled the mechanism of professional training and allocating healthcare expenditures, while private institutions have played a significant role.

However, in the context of soaring healthcare expenditures due to the ageing population, the healthcare system has challenges in terms of strategy, structure, and process. Therefore, management accounting helps to solve such issues. At present, although it is gradually becoming popular, it cannot be said that it has satisfied its full function. In summary, regarding management accounting methods, future introduction and results are expected.

An essential and inherent part of any managerial process is the monitoring and feedback for all the organization's activities. Every organization needs to know if it is acting in an effective way and if its activities are accepted by their recipients the way they are intended to. The handling of complaints is designed to prevent the reoccurrence of similar incidents in the future and to improve the production of the organization. Furthermore, the handling of complaints from the public is important in tempering the bitter feelings and sense of helplessness of the citizen vis-à-vis bureaucratic systems. One of the various tools available to managers in the organization for obtaining this much needed feedback on the organization's activities is via complaints from the public. The mechanism for handling complaints from the public and responding to them is generally headed by an ombudsman. Managing information received from complaints and transforming it into knowledge in an effective way requires the database to be: complete, up-to-date, versatile and — most importantly — available, accessible, and practical. For this purpose, a computerized system that is both user-friendly and interfaces with existing computerized demographic and other databases already existing in the hospital is essential. This type of information system should also assist in the ongoing administrative management of complaint handling by the ombudsman. In this chapter, we will examine the importance of the ombudsman in public and business organizations in general and in health organizations in particular. The findings presented in this chapter are based on a survey of the literature, on a study we conducted among the ombudsmen and directors of all 26 general hospitals in Israel, and on the authors' cumulative experience in management, in complaint handling and in auditing health systems, as described in case studies. These findings will illustrate how it is possible to exploit a computerized database of public complaints to improve various organizational activities, including upgrading the quality of service provided to patients in hospitals.