Cloud-Based Healthcare Evolution: Stepping Further into the Digital Healthcare Revolution
In the rapidly evolving world of healthcare, modern data platforms are revolutionising the way organisations process and analyse data, enhancing agility and supporting cloud-based data analytics.
One such partner leading the charge is CDW, a global technology solutions provider. CDW tailors its services to meet the needs of each healthcare organisation, working closely with data analytics teams to implement a modern data platform.
A key aspect of these modern platforms is the cloud, offering scalability, flexibility, and modularity. The cloud provides powerful compute capabilities for advanced data analysis, making it quicker and easier to stand up a modern data platform compared with an on-premises solution.
The implementation process involves discussions about the organisation's current on-premises and cloud activities. CDW considers the organisation's preferred cloud providers when making technology and strategy recommendations. Consultations with the organisation's cloud and cybersecurity teams ensure readiness for a data platform in the cloud.
Modern platforms overcome traditional interoperability challenges by automatically mapping disparate data formats and aligning them with universal healthcare standards. This capability enables seamless integration of data from diverse sources, making data more usable and accessible for analytics and clinical decision support.
AI-powered intelligent data pipelines automate the flow of patient data, reducing manual data engineering burdens and ensuring accurate, analysis-ready datasets. Real-time Extract, Transform, Load (ETL) processes enable near-instant data streaming, normalisation, and availability for analytics or AI model training.
Cloud platforms provide the necessary computing power and centralised data storage to train and deploy AI/ML algorithms at scale. These technologies enable predictive analytics, risk assessments, and diagnostic support, improving clinical productivity and accuracy. AI-driven analytics also help healthcare organisations optimise operations such as emergency room staffing based on historical trends.
The cloud enables secure and easy data sharing between healthcare organisations and payers and providers, expanding care access and reducing wait times. It also supports telehealth and remote patient monitoring solutions, enabling continuous monitoring for at-risk patients and improving health outcomes.
CDW designs the platform so the organisation can choose to manage it on its own or continue partnering with CDW's managed services team to maintain the platform. After the data platform implementation, CDW can continue to partner to help evolve platform capabilities and expand into data fabric, real-time data, and advanced analytics.
Approximately 30% of the world's data volume comes from the healthcare industry and is expected to grow over the next few years. Many CIOs and health IT leaders are ready to digitally transform their organisation's data analytics program. There is a rightsized approach for every health system to help it grow and modernise its data analytics.
In conclusion, modern healthcare data platforms leverage cloud infrastructure, AI-driven intelligent pipelines, real-time ETL, and edge-to-cloud data fabrics to enable agile, scalable, and interoperable data analytics. These innovations allow healthcare organisations to process and analyse data faster and more accurately, support proactive clinical decisions, and extend care beyond traditional settings through telehealth and real-time patient monitoring.
- The modern data platforms, implemented by CDW in collaboration with healthcare organizations, are equipped with AI-powered intelligent data pipelines and cloud technology, which automate data flow, offer scalability, and provide the necessary computing power for advanced data analysis in health-and-wellness.
- With the growth of healthcare data and the increasing readiness among CIOs and health IT leaders to digitally transform their data analytics programs, science and technology are playing significant roles in revolutionizing the healthcare industry, making data more interoperable, accessible, and enabling proactive clinical decision-making through advanced analytics.
