5 Ways Cloud Computing Is Revolutionizing Healthcare

Cloud computing is key to the digital transformation of healthcare. Over the last two decades, the industry has experienced a paradigm shift from traditional methodologies to equipping advanced cloud-based systems. Cloud impacts the healthcare sector by reducing data storage costs, enhancing security, increasing scalability, delivering better personal care, etc.

As per Global Markets Insights, the healthcare cloud computing market will be worth $79.3 billion by 2027 at a CAGR of 13.4%. It shows how widely healthcare facilities are moving forward to choose cloud computing solutions to deliver a compelling user experience.

Here are five ways cloud computing is revolutionizing healthcare.

1) Low-cost unrestricted storage

In healthcare, a large amount of data is accumulated daily that needs to be stacked safely. Cloud offers unrestricted storage to maintain that data at a meager cost by paying for the resources you actually use.

Cloud computing solutions provide better infrastructure and services than health facilities' traditional data storage systems that include hardware, external drives, or paper documents. It involves cost reduction as cloud data storage eliminates the need for physical storage space utilization.

The cloud also provides an ergonomic environment for scaling the cloud capacity as patient data is generated from EMRs, healthcare apps, and wearables. Cloud computing gives complete control of cost-ownership as it operates on an on-demand basis.

Related:How the Metaverse May Impact Cloud Computing

2) Data analysis

Big Data Storage isn't new to healthcare, as medical centers store a massive amount of data to analyze and make informed decisions. The Artificial Intelligence (AI) and Machine learning (ML) algorithms with cloud technology enhance medical research and offer quick responsive treatment.

The cloud's high-level computing abilities that ensure the processing of massive data sets, both structured and unstructured, aren't a strenuous task. Implementing analytics on patient data also paves the way to identify possible future diseases that professionals can treat at an early stage with more personalized care programs.

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