5G + Medical Big Data Technology -- Odin is ready to embrace the 5G era

1. What is 5G?

"G" stands for "Generation," and 5G is the fifth generation of mobile communication technology. Looking back at the past, 1G used analog technology, 2G used digital voice communication, 3G enabled multimedia communication, and 4G greatly increased communication speed. With 5G, it can handle more device connections, have faster response times, and transmit larger data.

2. "Big Data" in the 5G era

The 5G network features high-speed eMBB enhanced mobile broadband, mMTC massive machine-type communication that can support a large number of devices, and URLLC ultra-reliable low-latency communication with extremely low latency.

Darrell West, a senior researcher at the Brookings Institution, pointed out in a report, "The difference between 5G and its predecessors is in connected devices, fast intelligent networks, back end services, and ultra-low latency. These traits make a fully interconnected world possible."

Cloud data distributed storage and cloud high-concurrency unified services will be the way big data manifests itself in the 5G era.

3. The Performance of Medical Big Data in the 5G Era

Keywords: Human-Centered | Cloud Technology | Remote Collaboration | Large File Data

What impact will 5G have on medical big data? What changes will occur in medical information technology in the 5G era? What will be different in the integration, fusion, sharing, and perception of medical data in the 5G era?

3.1 Medical Data Exchange is Easier and More Extensive

As shown in the keyword spectrum below, in the 5G era, humans (citizens) account for a high proportion. In the 5G era where everything is on the cloud, the characteristics of enhanced Mobile broadband (eMBB) with wide coverage and high-speed rate enable mobile networks to cover more medical institutions and individuals.

The increasing amount of patient medical records (centralized patient records) and the constant demand for medical data exchange have made it possible for hospital data centers to loosen up under the 5G environment, and the data production end can produce data uninterrupted anytime, anywhere, while the consumption end can obtain low-latency data on demand.

5G brings comprehensive improvements to the network environment of medical big data. The information technology platform equipped by medical institutions on both ends as data service users needs the latest technology architecture to adapt to high-speed, high-concurrency, low-latency data services.

When the amount of data processing increases, the distributed cluster engine can horizontally expand at any time to meet the challenges of business growth in the 5G era. Distributed deployment ensures clear division of labor, achieving the highest availability of the system, ensuring uninterrupted service, and ensuring end-to-end business stability.

In past solutions, the region mainly stored indexes or part of the data, and each level of hospital locally stored patient data. If you want to call up patient data, you need to look up from the regional index and then call up the locally stored patient data. Due to the limitation of network transmission

3.2 Medical Cloud and Cloud-Native Architecture Are Widely Used

Large hospitals, medical consortia, and regional data are growing rapidly, and the previously used data local storage solutions are far from enough. Cloud technology will be used more and more, providing faster and safer access and larger-capacity cloud storage for data. Public cloud, private cloud, or hybrid cloud forms will become more common. Due to the characteristics of 5G, the difference between the medical and patient resources connected to the local resources of medical institutions and the cloud directly connected through the 5G Internet is becoming smaller and smaller, and it may even be possible to completely move to the cloud, eliminating internal hardware facilities of medical institutions.

In the 5G era, medical information platforms also need to adapt to the cloud's demands. At this time, the advantages of the Cloud-Native architecture of the medical information platform are reflected: it is unrestricted, easy to maintain, has high resource utilization rates, and has high agility.

Odin Cloud-Native Architecture Design:

1. It can be deployed on the IaaS of private data centers or cloud providers without binding to a specific cloud supplier's function.
2. Containerized encapsulation deployment (Docker): based on containers, simplifies the maintenance of Cloud-Native applications. Run applications and processes in containers as independent units of deployment, achieving high-level resource isolation.
3. Automated management: a unified scheduling and management center that fundamentally improves system and resource utilization while reducing operation and maintenance costs.
4. Microservices architecture: through a loosely coupled approach, improves the overall agility and maintainability of the application program.

3.3 Real-time monitoring of medical and health data and more comprehensive big data in the 5G era

In the 5G era, due to the massive machine type communication (mMTC) feature of carrying a large amount of data with high speed, wearable devices, medical monitoring devices, and other equipment can be connected to monitor patients' vital signs in real-time. This enables patients to have a better understanding of their health status, and achieve the prevention and control of diseases.

More intelligent devices and machines (IoT) will be linked together, increasing the types of systems, and the types and amounts of data will explode. Therefore, the 5G era is also a more comprehensive and perfect era of big data.

A perfect big data system requires a medical information platform that supports big data. When IoT is connected to hospitals or regional platforms, the medical information platform needs to have the characteristics of supporting big data systems.

Odin engine supports big data systems with embedded Hadoop and Kafka. It can support the read and write access of the HDFS distributed file system and bridge operations with Hadoop through Phoenix. It provides end-to-end support for the Kafka distributed streaming platform, providing high-throughput access to data, and supporting big data.

3.4 Remote collaboration widely adopted

The extremely low latency of URLLC (Ultra Reliable Low Latency Communications) greatly improves the speed and reduces the delay, making online consultations, remote consultations and other business collaborations more widely adopted in large hospitals, medical associations and regional areas, shortening the "painful" waiting time for patients and improving diagnostic efficiency.

In the 5G era, smoother online consultations or remote consultations are facilitated by high-speed 5G networks. However, smooth transmission of videos, audios, and image data requires the support of large file transfers by medical information platforms. Hospitals or medical associations can even share computing resources through high-speed 5G networks.

The Odin engine supports large file transfers, which can meet the large file exchange between different systems, such as images, videos, etc. It supports regional sharing and business collaboration.

4. Odin is prepared to embrace the 5G era of "Internet of Everything"

Keywords: Scalable architecture, Embedded National Health and Family Planning Commission (NHFPC) CDA standard

No matter where the patient is located, with the support of 5G, hospitals will provide better services. Odin has foreseen the trends of large hospitals, medical alliances, and regions in the 5G era, and is prepared to embrace the arrival of the "Internet of Everything" era.