ABSTRACT
Open access of healthcare big data has become a global consensus and trend, as it provides data support for big data analysis and leverages the value of data. This paper introduced the development status of data open access in the UK, US, Canada, Australia and China.On such basis, they explored data open access platforms, as well as the open access mechanism by category, degree and domain. In the end, this paper probed into such key issues as data collection, verification, selection, masking, organization, release, update and maintenance, in order to support the open access of China′s healthcare big data.
ABSTRACT
Medical services, medical insurance institutions, medical administrations, pharmaceutical and medical device manufacturers, pharmaceutical and medical device research institutes, and health-related service providers produce large amounts of data in the operation, which constitute medical and healthcare big data. Medical and healthcare big data is the important basic strategic resource of a country. The construction of the national big data platform for medical and healthcare management is of great significance to the development of healthcare in China, and will bring new development and change. Medical devices and equipments are essential to the provision of quality services, the lack of safe and effective and functional medical equipments will affect the quality of healthcare services, affect the diagnosis and treatment of patients, and even threaten the healthy development of the entire healthsystem. Application of IoT technology and big data technology, and with the help of the national big data platform for medical and healthcare management, can solve many problems existing in the supervision and evaluation of medical devices, medical device adverse event control, hospital medical equipment maintenance (such as maintenance, condition monitoring, accident retrospective, evaluation and scrap) and medical device acquisition process, so as to improve the management efficiency and management level of medical devices and improve the efficiency of medical equipment production enterprises in product registration, after-sale service and adverse events protection. This process has a realistic driving significance and long-term strategic significance to our medical system. In this paper, the problems in the management of medical equipment in China were analyzed, and the function of the national big data platform for medical and healthcare management in medical equipment management were introduced and analyzed.
ABSTRACT
The reform of medical and healthcare system is the inevitable process for the medical and healthcare developing in China.The main contents of the reform include establishing a scientific and reasonable system of medical treatment and classification,a scientific and effective modern hospital management system,a universal medical insurance system with efficient operation,a standardized and orderly drugs and medical equipment supply,and a strict and standardized comprehensive supervision system.The national big data platform for medical and healthcare management can play an important role in the reform of medical and healthcare system in China.First,it can help to improve the treatment effect of the disease,improve the prognosis,reduce the morbidity and mortality rate,and improve the health level.Second,it can effectively control the risk of medical insurance funds,and reduce the fund operational risk.Third,it can improve the efficiency of healthcare services and medical service resource utilization,so as to reduce medical costs.Fourth,it can help to build the link between residents and family doctors and hospitals,and to promote the medical consortium and hierarchical medical system through electronic signatures,online booking,telemedicine,real-time health monitoring,and two-way referral.Fifth,it can help to establish a medicine and medical equipment circulation system with the characteristics of source-traceable,full controllable,risk-preventable,responsibility-assessable,performance-assessable,and open-and-transparent.Finally,it can effectively improve the quality evaluation and regulatory level of the medical system in China.The existing problems in medical reform in China were introduced,and the relationship and the significance of the national big data platform for medical and healthcare management to medical and healthcare system reform were analyzed.
ABSTRACT
Non-communicable chronic diseases are important public health problems. Most chronic diseases can be avoided through preventive care and effectively controlled through early detection, and the therapeutic effect can be improved by active communication. The existing chronic disease management is based on public health management which cannot meet the needs of prevention and control of chronic disease in China. On the basis of healthcare data collection and monitoring on chronic disease patients, high risk population of chronic diseases and healthy individuals, a new chronic disease management mode can be achieved using data mining, cloud computing and other technologies. In this mode, the model of chronic disease prediction and analysis is established, and leading to risk factors for chronic disease is positioned. The healthy people can receive guidance on health management, the high-risk groups can get health risk assessment and early warning so as to guide their effective intervention, and the chronic disease patients can take personalized treatment and prognosis tracking by using this model. In this paper, the meaning, problems and methods of chronic disease management based on the big data platform for medical and healthcare management were introduced and analyzed.
ABSTRACT
Objective To cxplore the research and application of big data mining technology in clinical healthcare environment.Methods The characteristics of clinical heahhcare data mining methods were expounded and the current research status of healthcare data mining technology was analyzed in clinical task according to the literature mining.Meanwhile,the application of healthcare data mining in clinical environment was introduced from the following four aspects:medicine research,personalized diagnosis,risk prediction and process mining.Results The necessity and importance of research and application of clinical healthcare data mining were illustrated.Moreover,the achicvements of healthcare data mining in clinical application,as well as existing problems and technical difficulties were summarized.Furthermore,the development tendencies of healthcare data mining were predicted.Conclusion The research and application of clinical healthcare data mining have improved the healthcare quality and promoted the medical advances,which is the developmcnt direction of clinical healthcare research.
ABSTRACT
Big data will change the way of managing,analyzing,and utilizing data in any industries.In the medical and healthcare field,health management is the development direction of the future medical model.Health management is the most basic and representative functions of the national big data platform for medical and healthcare management.For individuals,effective health management can achieve the purpose of not pre-emptive treatment,and for the society,effective health management can effectively control the development of group disease,reduce the loss of medical resources,reduce medical expenses and improve the utilization of medical resources.Although the application of healthcare big data is still restrained by factors such as data quality,data missing,data silos,data security and data processing technologies,the health management based on the national big data platform is expected to play an important role in some research fields including prevention and control of chronic noncommunicable diseases,intervention technology of sub-health status,health status detection and evaluation,and the pathogenesis of infectious diseases.Based on the essence and function of health management,the significance the national big data platform for medical and healthcare management was expounded.
ABSTRACT
In the field of medicine and healthcare,giant medical and heaithcare information is created by medical institutions,medical information platforms,digital medical equipments,intelligent health electronic products,wearable personal health equipment,and other heahh-related information platforms.The sum of these information forms the medical and healthcare big data.The development and application of this big data not only can improve the medical and health system,but also can promote the development of health industry,which has realistic and long-term strategic significance to national economic development.In this paper,the basic characteristics of medical and healthcare big data were introduced,and the problems and challenges in the application of this big data in China were analyzed.In order to improve the level of informatization and management efficiency of medical and healthcare management in China,a national medical and healthcare big data platform was proposed,which can integrate omnidirectional and full-cycle health-related information of institutions and individuals in China.In addtion,the construction mode,operation mode,data source and platform function of this platform were introduced.
ABSTRACT
In the field of medicine and healthcare,giant medical and heaithcare information is created by medical institutions,medical information platforms,digital medical equipments,intelligent health electronic products,wearable personal health equipment,and other heahh-related information platforms.The sum of these information forms the medical and healthcare big data.The development and application of this big data not only can improve the medical and health system,but also can promote the development of health industry,which has realistic and long-term strategic significance to national economic development.In this paper,the basic characteristics of medical and healthcare big data were introduced,and the problems and challenges in the application of this big data in China were analyzed.In order to improve the level of informatization and management efficiency of medical and healthcare management in China,a national medical and healthcare big data platform was proposed,which can integrate omnidirectional and full-cycle health-related information of institutions and individuals in China.In addtion,the construction mode,operation mode,data source and platform function of this platform were introduced.
ABSTRACT
This paper presented the conventional methods for signal detection of adverse drug reactions (ADRs) and their applications, the research progress in ADRs signal mining based on healthcare big data, and briefed the methods and uses of ADRs prediction using machine learning technology in the era of healthcare big data.The conclusion was that deep learning, as a fast growing tool in machine learning, will become hotspot of research, expected to help with ADRs signal mining and rational clinical drug use.