TO: Prof. Ellis
FROM: Edward Dominguez
DATE: 3/3/2021
SUBJECT: 500-word Summary of Article About Healthcare CPS
The following is a 500-word summary of a peer-reviewed article about how Cloud and Big Data is helping the Healthcare Cyber-Physical System. The authors discuss the Healthcare CPS which is a cyber-physical system for patient-centric healthcare applications and services that is built on cloud and big data analytics technologies. The results of this study show that the technologies of cloud and big data can be used to enhance the performance of the healthcare system so that humans can then enjoy various smart healthcare applications and services. Information technology is very important to the healthcare field. As time passes more data is used than ever before, which can lead up to challenges for data management, storage and processing. In healthcare the volume of data keeps increasing as new technologies are released such as, wearable health devices, etc. It is important for medical equipment to collect data very quickly to respond to emergency. Healthcare devices create different types of data which include text, image, audio and video that may be structured or non-structured. The value from healthcare data can be maximized through data fusion of EHR and electronic medical records. Cloud Computing, big data can also help organize health care data. Even though there are many innovations in the healthcare field, there are some issues need to be resolved. Healthcare data that is stored together on the physical later are still logically separated which is an issue. The biggest challenge of building a comprehensive healthcare system is in the handling of heterogenous healthcare data that is from multiple sources. In the healthcare industry cloud and big data are very important and it is becoming a trend in healthcare innovation. Medicine relies in specific data and analysis. The system must support different types of healthcare equipment. It’s important to have different data structures to deploy suitable methods for efficient online or offline analysis. The system is expected to provide many applications and services for different roles. The data collection layer collects raw data in different structures and formats to ensure security. Data management layer which includes Distributed File Storage (DFS) and distributed parallel computing (DPC). The application service layer which gives users visual data and analysis results. There also is a data collection layer. According to the authors, “in the data collection layer, various healthcare data are collected by the data nodes and are transmitted to the cloud through the configurable adapters that provide the functionality to preprocess and encrypt the data” (Zhang et al., 2017, p. 90). Data nodes can be divided into four groups: research data, medical expense data, clinical data, and individual activity and emotional data. Digital data has been a new way for scientific research in identifying side effects of drugs and its new effects. Medical expense data is using a non-traditional healthcare data like medical insurance reimbursement and medical bills are geographically dispersed because it can estimate medical cost. Clinical data is served in many medical services like EMR and medical imaging, while keeping the privacy of the patients.
References
Zhang, Y., Qiu, M., Tsai, C., Hassan, M. M., & Alamri, A. (2017). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal, 11(1), 88-95. https://doi.org/10.1109/JSYST.2015.2460747
