The Healthcare industry operates with massive data arrays generated through various data sources that need to be processed and stored to provide access to treatments. Modern Healthcare solutions are gathering data to provide analytics like patients’ medical history, potential health threats, genetic information, etc. but there is a need to unify the information while making it accessible at the edge of data sources.
Modern Healthcare solutions lack-
- Data security of critical data.
- Seamless management of patient traffic across the network.
- Information availability of devices’ and machines’ uptime.
- Centralized information across the network, etc.
Distributed Cloud Architecture for Healthcare Industry
In Distributed Cloud architecture, multiple clouds are used to meet compliance needs, performance requirements, or to support edge computing. It supports multiple data locations like a public cloud, on-premise resources, data centers, or third-party or colocation center hardware, and this multi-cloud, hybrid model is managed from a single point of control.
For Healthcare infrastructures, the Distributed Cloud provides a next-generation cloud architecture that provisions and manages the compute and network resources across data locations and edge sites at scale. It provides elasticity for AI workloads with efficient GPU sharing and machine learning algorithms.
The Distributed Cloud can be used to capture and process data through IoT devices using edge clusters that help in faster diagnosis and treatment during emergencies.
This real-time data may include the patient’s vital body measurements including blood glucose level, heart rate, body temperature, etc. Medical practitioners can access the data in real-time at remote locations and provide medical assistance to patients.
With the Distributed Cloud, the Healthcare industry can:
- Perform initial level of data processing using Edge clusters.
- Have scalable storage and compute services on Cloud as per workloads.
- Get a real-time reading of patients’ vital health factors.
- Access patients’ medical history by providing accurate health consultancy
- Analyze patients’ health from remote locations
- Avail information to patients regarding service availability, service slot confirmation, test results, and health progress.
How Distributed Cloud Provides Better Healthcare Accessibility?
Distributed Cloud enables hospitals and other Healthcare stakeholders to collect data from data sources like CRM, medical imaging, EHR, 3rd party integrations, billing, etc. and data streaming sources like wearables, lab devices, sensors, etc. The data is initially processed at the edge using an edge-computing framework.
The processed data is sent to the cloud for a highly scalable computing solution with resource efficiency, and native support for rapidly-growing modern Healthcare workloads.
The processed data can then be analyzed through devices like mobile phones, power apps, patient portals, health bots, etc. at remote locations where medical practitioners can use the data and provide necessary assistance to the patient.
Benefits of Using Distributed Cloud for Healthcare Enhancements
Distributed Cloud provides an elastic and high-performing cloud infrastructure to manage scalable workloads of Healthcare systems. It addresses key challenges in Healthcare infrastructure and provides real-time data analysis and accessibility at the edge.
Distributed Cloud architecture is beneficial for Healthcare infrastructure in the following ways-
- It offers remote collaboration for better surgeries and treatments.
- Real-time input tracking through edge-cluster provides accurate results instantly.
- Interoperability offers data sharing and accessibility across devices.
- Accessibility to high-quality medical assistance at the remote location.
- The financial growth of medical administration.
Role of Open Source in Healthcare
It has become crucial for Healthcare organizations to utilize technologies like Distributed Cloud to provide better services. Open Source projects give organizations the flexibility to use proprietary solutions without any investment while only investing in the open source licensing and developers’ costs.
Open source technologies provide complete control of IT infrastructure to Healthcare infrastructures. They can deploy modern approaches that are compatible with legacy solutions.
Opensource communities are focusing on the Distributed Cloud to make Healthcare accessible and cost-effective. With an Open Source Distributed Cloud approach, developers can provide latency-free, real-time data access to Healthcare.
Conclusion
Distributed Cloud bridges the gap between medical services and service seekers by providing Healthcare solutions at remote locations. Moreover, it provides data tracking and interoperability to offer the latest data updates throughout the network.
By leveraging Open Source Distributed Cloud, developers can revolutionize Healthcare infrastructure and its services for better and more accessible approaches.
