Cloud transition in healthcare: unlock efficiency sustainably

Healthcare is shifting rapidly to more efficient IT infrastructure, particularly with the adoption of cloud for healthcare, as data volumes soar. The healthcare sector generates about 30% of global data [4] growing faster than any other data. Hospitals produce petabytes annually, making scalable cloud solutions essential for managing, storing, and using data efficiently and sustainably.

As the demand for digital services grows, the need for more efficient solutions becomes crucial: not to just reduce costs, but to enable scalability and support the adoption of more sustainable practices and easing pressure on clinical and administrative staff. With cloud-based systems, healthcare professionals can securely access data and tools from anywhere, helping to address workforce shortages, improve flexibility, and support staff well-being.

Patient demand patterns are growing and changing due to an ageing population and disruptive events like pandemics. This makes it more challenging for organizations to plan capacity for things like room space, resources, and staff for patient care examinations, and patient throughput, which is crucial to transform healthcare. What’s more, there’s unrelenting financial pressure, which complicates efforts to achieve better outcomes. Inflation is impacting wages, energy bills, and prices of products and services.

Executives are also under pressure to hit sustainability targets and mandates from local and national regulators. And there’s growing demand from staff, especially the younger generations, who expect to work for sustainable employers.

As a result, by moving away from traditional on-premises data centers, healthcare providers can take advantage of the cloud’s resource-efficient capabilities. Cloud providers can run on renewable energy and require just a quarter of the servers compared to on-premise systems [5], yet many organizations still hesitate to migrate due to concerns around protected health data, protected health information security, and cost, missing out on valuable information.

Cloud technology can help healthcare organizations significantly reduce their carbon footprint by leveraging resource-efficient data centers that also run on renewable energy

Cloud infrastructures usually offer higher utilization rates which result in less energy and material waste. These platforms allow healthcare organizations to scale their IT resources quickly and efficiently. Unlike on-premises systems, which often require significant upfront investment in hardware and ongoing maintenance, cloud infrastructure offers flexible, pay-as-you-go models which helps providers to adjust resources based on volume and demand, while avoiding the costs and inefficiencies of underutilized systems. This not only enhances environmental sustainability but also aligns with broader corporate goals for reduced operational costs and ecological impact.

Reliability is crucial in healthcare, where real-time access to patient health data is essential. Cloud-based systems offer improved resilience, ensuring that care providers and critical information remain up and running even during unexpected disruptions, such as power outages or system failures. Cloud platforms typically include disaster recovery and failover capabilities, which minimize downtime and enhance system reliability. By moving to the cloud, healthcare providers have access to highly available infrastructure, ensuring continuous patient care delivery and better operational continuity. Research shows that organizations that transition to cloud solutions experience a 69% reduction [2] in unplanned downtime compared to traditional on-premises systems. This improvement in reliability helps healthcare providers avoid interruptions in care, improving patient outcomes and operational efficiency. Beyond reducing costs and enhancing sustainability, cloud technology unlocks significant business value for healthcare organizations.

In addition to sustainability and operational improvements, security is a major concern in the healthcare sector. Healthcare providers who migrate to Cloud have experienced a 39% reduction [2] in the average time to detect security incidents, significantly enhancing their overall security posture. AWS provides robust security features, such as advanced threat detection, encryption, and compliance with industry standards (including HIPAA), ensuring that sensitive patient data and financial data remains protected.

Cloud solutions enhance security by reducing the average time to detect and respond to incidents, ensuring that healthcare organizations can maintain a safe environment for patient data

Digitalization is also a key trend in healthcare, touching almost every facet and opening up new opportunities for the delivery of care, and it also proves instrumental in enhancing digitalization and sustainability within hospitals.

Cloud environments provide faster implementation, seamless integration with advanced tools (such as AI and data analytics), and the ability to scale resources dynamically as patient needs grow. While on-prem solutions can provide some of these capabilities, cloud environments enable faster implementation, seamless integration, and dynamic scaling to meet growing patient needs, especially through machine learning. For instance, cloud facilitates personalized care through artificial intelligence-driven insights, enabling providers to tailor treatment plans based on patient data in real time.

Additionally, cloud solutions help to integrate predictive analytics, which aids in early disease detection and better resource allocation, ultimately improving patient outcomes and reducing care costs.

Smart digital tools, green software & AI, and network connectivity make it possible to deliver maximum value with minimum resources, particularly when integrated with medical devices.

In healthcare, this supports telehealth and the shift of care from resource-intensive clinical facilities to networked lower-cost settings and the home – giving more people access to care. For example, replacing physical visits with telemedicine appointments can decrease carbon emissions by up to 40-57 times, as seen in the Nordics [6].

In optimizing hospital operations, utilization management through digitization not only drives efficiency but also contributes to a greener and more sustainable future. Also, for those 3.5 billion people around the world [7] who do not have access to healthcare today, digitalization holds the key to radical improvement in their lifetime, as digital solutions are intrinsically much more scalable, and thus support a unified patient view, wider prevention, better triage, and lower cost per treatment.

With the world anticipated producing 180ZB of data every year by 2025, [1] the enterprise data landscape is expanding at an astonishing speed and scale. As AI workloads become more data-intensive and complex, they place greater demands on infrastructure such as CPUs, GPUs, memory, storage, and networking. These systems, while necessary for high-performance computing, are often energy- and carbon-intensive, relying heavily on critical materials that are becoming increasingly scarce. As technologies like generative AI expand, they can exacerbate this issue, with estimates suggesting that by 2030, generative AI alone could generate between 0.4 and 2.5 million tons of e-waste, equivalent to 2.1 to 13.3 billion iPhone 15 Pro units [8].

The growing demand for these systems not only increases e-waste but also accelerates the depletion of essential resources needed to build them. On-premises data centers, constrained by limitations in scalability and resource efficiency, are struggling to keep up with these increasing demands, making healthcare cloud solutions a more sustainable and efficient alternative. Cloud platforms enable healthcare providers to rapidly innovate and respond to changing market conditions, supporting for example the deployment of AI-powered tools, GenAI for medical imaging, telehealth services, or generic administrative automation, allowing at the same time to adapt and grow without the need for expensive infrastructure upgrades. As a result, a cloud-based approach can help foster innovation, enabling faster access to patient data to enhance faster decision support while allowing organizations to adopt AI and analytics tools that improve their operational efficiency, sustainability, and aid in controlling costs.