The integration of modern information technology in healthcare has brought about a significant improvement in healthcare technologies. However, the increasing volume of healthcare data generated poses a significant challenge in managing and analysing the data. Moreover, big data, which is rapidly produced from multiple sources, has become a major concern in healthcare. To address these challenges, this study proposes a Health-CPS cyber-physical system, which uses cloud computing and big data analytics to improve healthcare service and create a more favourable healthcare environment. The proposed system consists of a data management stage for circulated storing and similar processing, an information-oriented service stage, and a uniform data collection layer. This research aims to demonstrate the potential of big data and cloud technologies to enhance healthcare system efficiency and provide patients with access to a wide range of intelligent healthcare applications and services.
Top1. Introduction
Over the past two decades, there has been a significant increase in the use of information technology in medicine, resulting in improved data availability, traceability, and liquidity in areas such as biomedical databases, electronic health records (EHRs), and public health (Devarajan and Ravi 2019). However, this increase in data has also led to challenges in data management, storage, and processing. One major factor contributing to this growth in healthcare data is the development of medical information technology, predominantly the implementation of clinic evidence systems. Additionally, the proliferation of wearable health devices has also played a role in the rapid generation of medical data (Sethuraman et al. 2020).
This data is often complex and varied, coming in various formats such as text, images, audio, or video, and is generated in real-time by medical equipment, particularly wearable technology. This makes it necessary to manage and process data quickly, particularly in emergency situations (Kaiser et al. 2021). Despite these challenges, there is still a lot of value to be found in healthcare data, such as personalized health counseling and public health warnings. (Sood and Mahajan 2018).
However, there are still obstacles to overcome, such as heterogeneous data fusion and the lack of universal standards and methods for data access and analysis. This research aims to address these challenges by proposing a healthcare CPS based on cloud computing and big information technologies. The suggested system comprises a cloud-based and information-determined platform for the preservation and examination of various and diverse healthcare data, as well as a healthcare application service cloud with a shared API for programmers and a streamlined crossing point for users (Dey et al. 2018). The key advancement in this study is the introduction of a consolidated data gathering layer for integrating public medical resources. This will enable the smooth storage, examination and retrieval of various and diverse healthcare data, enabling the extraction of more profound understanding and value from the data (Gupta and Singh 2022).
The use of cloud computing and big data technologies in the proposed system will enable the effective administration and processing of large amounts of data, and provide the necessary infrastructure for information storing and examination. The proposed healthcare request service cloud will provide a unified interface for developers and users, making it easier for healthcare providers to access and analyze data (Vangipuram et al. 2021).
Figure 1. Application of health care in various fields
Additionally, the proposed system will also address the issue of data security and privacy, as it will include measures to ensure the safe and secure storage and transmission of sensitive patient data. In conclusion, the suggested healthcare CPS that relies on cloud and big data innovations aims to solve the issues of data management, storage, and processing in the healthcare sector by offering a consolidated platform for the integration of public therapeutic capitals and individual healthiness plans. (Das et al. 2022). This will enable the efficient storage, analysis, and retrieval of multisource heterogeneous healthcare data, and provide the necessary infrastructure for data storage and analysis. The proposed system will also address the issue of data security and privacy, by ensuring the safe and secure storage and transmission of sensitive patient data resources and personal health devices. Figure 1 shows the healthcare sector functions.