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This paper serves to share Hong Kong's experience in the modernization of traditional Chinese Medicine through application of modern technology. CMIS, short for Chinese Medicine Information System, is a comprehensive computerized clinical management system which supports and assists clinical and non-clinical staff with their daily workflow at the clinics. The seven modules: registration and appointment,...
This paper describes E-Health Monitoring (EHM) ecosystem and current EHM market segments. Based on IoT reference model, three EHM technical models are proposed. Model 1 focuses on device to device communication; model 2 focuses on network providing connection only; model 3 focuses on network combined with platform. Model 3 is equipped with a service support platform which is a new entity comparing...
Traditional Chinese Medicine (TCM) has been widely used to treat various diseases like infectious diseases. Treatment Based on Syndrome Differentiation (TBSD) is the main principle in TCM clinical practice. So exploring the relationships between diagnoses and treatments from successful cases is important and valuable for better treating hepatitis diseases, which is a decision support problem based...
In the intelligent monitoring of the hypertensive patients, it's necessary to assess their treatment effect and give corresponding diagnostic feedback automatically. This paper proposed a hybrid decision support system (DSS) combining several data mining techniques using an improved weighted majority voting scheme (iWMV). The mass health data of hypertensive patients were used as data source of the...
Full life cycle health records service is the core of the regional health information platform. The file information which is various and massive includes basic personal information, major diseases and health problems, women and children health information, disease prevention and control, disease management information. Because of different targets, we need different ways to show and have an efficient...
This paper presents a novel type 2 diabetes mellitus (T2DM) monitoring system. Decisions on the statuses of diabetes control and predictions of future blood glucose of an individual made by the system depend both on the original medical data collected by medical sensors and some contexts either are entered manually or generated automatically. When dealing with the data, first we clean and transform...
Traditional Chinese medicine (TCM) is developed from clinical practice. Rich information can be obtained from the medical record of TCM. National clinical research data center of TCM is constructed to collect the clinical medical data of TCM from hospitals all over the country. The construction framework of national clinical data center of TCM includes infrastructure construction, software construction,...
Clinical data warehouse has been developed as a fundamental data infrastructure for large scale TCM clinical data management and decision support services. However, as a key component, data extraction, transforming and loading (ETL) is a complicated and labor intensive task to ensure high data quality before all kinds of data analyses. This paper introduces an enhanced ETL technique framework, which...
This paper presents a representative use case of mHealth. The use case, called patient monitoring, is described from a Mobile Network Operator (MNO) point of view and should be seen as complimentary to other use cases that already exist from other parts of the industry. Then three communication scenarios are abstracted form the use case in order to clarify MNO's concerns and new requirements. The...
Key decisions at the collection, pre-processing, transformation, mining and interpretation phase of any knowledge discovery from database (KDD) process depend heavily on assumptions and theoretical perspectives relating to the type of task to be performed and characteristics of data sourced. In this article, we compare and contrast theoretical perspectives and assumptions taken in data mining exercises...
Adopting e-health technologies may be one of the ways to ease the burden of hospitals, where nurses and doctors may be deployed more efficiently to ensure better patient-centered care. The adoption of e-health not only depends on the government, industry players and the current state of technology. Part of the successful adoption also relies on the users' need for it and their attitude towards using...
In most of today's healthcare and AAL scenarios a multitude of data is recorded by different sensors for various purposes. By definition, this data is mostly personal and can be assigned to certain persons, which again makes it interesting for shady data miners, hackers, or even health insurance companies. Thus, this data needs special care regarding privacy and security. On the other hand, if the...
Today, IT technology plays a key role in promoting health services which provide medical information over a digital information system. Unfortunately, the digitized data may be not understood by medical professionals due to the limitation of conventional medical signal recognition. To deal with this challenge, we design a 3R (Retiming, Regeneration, Reshaping) dataflow engine that can restore electrophysiological...
Cloud Computing has been adopted by health-care industry for their data's storage, manipulation, and secured sharing needs. However, cloud's distributed nature can be exploited to the use of scientific applications that are designed for health-care data evaluation. These scientific applications, such as, Medical Imaging, Gene and Protein annotation, Mapdrug therapy and Clinical Decision Support Systems...
There is need for providing proper quality of service (QoS) and security to healthcare traffic in the network in a healthcare environment. In addition, there is need for global visibility of healthcare related communications or transactions between various entities (applications, information systems and devices). There are three major factors that make this challenging: 1) healthcare network traffic...
The construction of health service platform for the elderly must attach great importance to the health service demands of the elderly ,basing on innovation and whole process of health service by taking full advantage of IOT technology, data warehousing, data mining analysis technology, cloud computing technology and other modern information technologies, widely applying the modern trans-regional remote...
Telemedicine introduces new challenges in adapting health care supply to face the demographic trends and sustain the introduction of advanced technologies in home care medicine. This implies harmonisation and standardisation frameworks. A group of French experts have anticipated the need, creating a think tank to promote projects on medical device communication in the home and involve in standardisation...
Wireless technologies are well known to provide tremendous benefits to the healthcare sector. In the evaluation of the wireless technologies, ZigBee is found specifically suitable for monitoring due to its low cost, long battery life and widely accepted standard. But ZigBee uses the same ISM free band with other wireless techniques, such as Wi-Fi, which is also widely deployed in health care. The...
Supported by maturing information and communication technology (ICT) technologies, the medical care industry entered its digitization age. However, medical information is highly confidential and involves privacy; even legitimate access can cause privacy infringements. Under the current medical administration system, no established application systems conform to the IRB (Institutional review board)...
WBSNs (wireless body sensor network) like any other sensor networks suffers limited energy and are the highly distributed network, in which its nodes are the organizer itself and each of them has the flexibility of collecting and transmitting patient biomedical information to a sink. When knowledge sent to sink from a path that doesn't have a definite basis, the routing is a crucial challenge in Wireless...
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