scholarly journals The Contemporary Ethical and Privacy Issues of Smart Medical Fields

2019 ◽  
Vol 2 (2) ◽  
pp. 35-43
Author(s):  
Victor Chang ◽  
Yujie Shi ◽  
Yan Zhang
Keyword(s):  
Big Data ◽  
Medical Information ◽  
Health Management ◽  
Sensor Technology ◽  
Flow Process ◽  
Hospital System ◽  
Ethical Problems ◽  
Data Matching ◽  
Privacy Issues ◽  
Big Data Technology

With the development of big data technology, such as data mining and data matching, many industries have started a revolution, including medical field. Big data not only strengthens the accuracy of medical diagnosis, but it also enhances the efficiency of the entire medical system and relevant medical staff. Additionally, with the rethinking of innovation, the application of wearable intelligent device, RFID technology and sensor technology play positive roles in promoting medical interaction between hospital system and wearer. Smart medical provides effective methods for individual health management and promotes the progress of medical information. However, there are also some inevitable ethical problems, e.g., the leakage of privacy information, which cannot be avoided to some extents. The authors recommend some suggestions to reduce the possibilities of ethical problems happened during the data flow process.

scholarly journals The Contemporary Ethical and Privacy Issues of Smart Medical Fields

2021 ◽  
pp. 1899-1908
Author(s):  
Victor Chang ◽  
Yujie Shi ◽  
Yan Zhang
Keyword(s):  
Big Data ◽  
Medical Diagnosis ◽  
Medical Information ◽  
Health Management ◽  
Sensor Technology ◽  
Flow Process ◽  
Hospital System ◽  
Ethical Problems ◽  
Data Matching ◽  
Privacy Issues

With the development of big data technology, such as data mining and data matching, many industries have started a revolution, including medical field. Big data not only strengthens the accuracy of medical diagnosis, but it also enhances the efficiency of the entire medical system and relevant medical staff. Additionally, with the rethinking of innovation, the application of wearable intelligent device, RFID technology and sensor technology play positive roles in promoting medical interaction between hospital system and wearer. Smart medical provides effective methods for individual health management and promotes the progress of medical information. However, there are also some inevitable ethical problems, e.g., the leakage of privacy information, which cannot be avoided to some extents. The authors recommend some suggestions to reduce the possibilities of ethical problems happened during the data flow process.

Construction and Application of Regional Medical Information Sharing System Based on Big Data

2020 ◽  
Vol 11 (3) ◽  
pp. 40-61
Author(s):  
Yuanyuan Zhang
Keyword(s):  
Big Data ◽  
Information Sharing ◽  
Medical Service ◽  
Medical Information ◽  
Rapid Development ◽  
Information Service ◽  
Service Innovation ◽  
Regional Medical ◽  
Network Application ◽  
Big Data Technology

With the popularization of network application and the rapid development of electronic science, big data technology is constantly maturing and widely used in various fields. For the continuous development of regional medical informatization in China, based on the concept of big data technology and regional medical information data sharing, this paper adopts big data to improve the quality and efficiency of medical information service so as to realize the reasonable distribution and sharing of medical resources and provide references for medical service innovation in China.

scholarly journals Contemporary Issues in the Ethics of Data Analytics in Ride-Hailing Service

2019 ◽  
Vol 2 (2) ◽  
pp. 44-57
Author(s):  
Victor Chang ◽  
Yujie Shi ◽  
Xuemin Li
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Transportation Network ◽  
Behavioral Analysis ◽  
Smartphone App ◽  
Ethical Problems ◽  
Independent Contractors ◽  
The Usa ◽  
Order Assignment ◽  
Big Data Technology

Big data technology has brought about the establishment of transportation network companies (TNCs), such as Uber in the USA, and Didi in China, who provide the ride hailing services (RHS's) which allows the individuals to act as independent contractors serving customers via a smartphone app. The RHS system installed gigantic databases which can store enormous data and its equipment can collect various kinds of data at any time. Additionally, data analysis technologies in TNCs such as behavioral analysis, heatmap optimization surge pricing and the automatic order assignment mechanisms, can make the RHS more efficient. However, along with achievements big data technology offers, we are struggling towards the ethical problems, including privacy, inequity and safety.

scholarly journals Analysis on the Construction and Operation Mode of Internet Hospitals

2019 ◽  
Vol 2 (6) ◽  
Author(s):  
Lianggang Nie ◽  
Liangquan He ◽  
Geng Lan ◽  
Huimin He
Keyword(s):  
Medical Information ◽  
Health Management ◽  
Operation Mode ◽  
Management Service ◽  
Medical Resources ◽  
Hospital System ◽  
Family Doctors ◽  
Whole Process ◽  
New Development ◽  
Hospital Rehabilitation

Internet + medical health have become a national key strategy, and the industries of medical information have ushered in new development. Internet hospitals have broken through the limitations of diagnosis and treatment. Diagnosis, doctor’s education, family doctors, and post-hospital tracking have been introduced to the Internet hospital system, the whole process of medical management service including ‘health management, diagnosis, in-hospital, rehabilitation’ has been gradually established, and coordinating to the medical resources, family doctors and channels of medicine, to realize the real circulation of medical resources. The authors screened six Internet hospitals and comprehensively analyzed their construction and operation modes, with a view to providing reference for the construction of Internet hospitals.

scholarly journals Methodology of Adaptive Prognostics and Health Management Using Streaming Data in Big Data Environment

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianshe Feng
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Adaptive Sampling ◽  
Health Management ◽  
Streaming Data ◽  
Sensor Technology ◽  
Selection Strategy ◽  
Prognostics And Health Management ◽  
Online Environment ◽  
Stream Data

Prognostics and health management (PHM) has gradually become an essential technique to improve the availability and efficiency of industrial systems. With the rapid advancement of sensor technology and communication technology, a huge amount of real-time data is generated from various applications industry, which brings new challenges to PHM in the context of big data streams. On one hand, high-volume stream data places a heavy demand on data storage, communication, and PHM modeling. On the other hand, continuous fluctuation and drift are essential properties of stream data in an online environment, which requires the PHM model to be capable to capture the new formation in stream data adaptively and continuously. This research proposes a systematic methodology to develop an effective online evolving PHM method with adaptive sampling mechanism against continuous stream data. An adaptive sample selection strategy is developed to effectively select the representative samples in both off-line and online environment. Meanwhile, a probabilistic theory-based modeling approach is developed to update the model with newly selected samples. Finally, the whole methodology is validated with real-world industrial cases. The result comparison between the proposed methodology and state-of-art methods verifies the superiority of the proposed method.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.

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