The Different Facets of Machine Learning in Health Care and Cloud Computing

Machine Learning in Health Care is growing in heaps and bounds and health care organizations are applying machine learning to their processes. Machine Learning in Health Care is not a new phrase and you’ve probably heard about Machine learning in many other industries. This is because machine learning has so many applications ad it is quite a broad field itself. Machine learning is component of artificial intelligence and it also contains a load other technical fields, tools, and software. One of those is cloud computing. Cloud computing and machine learning go hand in hand in many cases and some organizations cannot have one without the other. But what is cloud computing? And how cloud computing be applied to machine learning in health care? These questions and more are what we will be in this article.

Cloud ComputingMachine Learning in Health Care

Cloud computing can be defined simply, as an on-demand delivery of data storage and applications, computing power, data processing etc to those who use on an as-needed basis. Cloud computing provides a simple way to access servers, storage, databases and a broad set of application services over the Internet. Cloud computing allows that use it to be able to buy storage space in small doses and only pay for what they need. It also allows organizations and users to assess these storage spaces and the data it contains via the internet from any location and from any device.

The Flexibility of Cloud Computing

Cloud computing is increasingly popular and highly coveted by both small and large organizations because of the flexibility it offers. Data storage is a critical component of any business and when an organization can have access to cheap and flexible data storage, it becomes a huge part of their recipe for success. With cloud computing, health care organizations both small and large, do not need to make large investments upfront for data storage space.

Before the advent of cloud computing and its machine learning applications in health care, organizations had to purchase data storage hardware and had to spend money and resources to maintain that hardware. Cloud computing takes away that need thereby freeing up capital and resources to invest in other aspects of the health care organization and business. With cloud computing health care organizations can access any resource they need instantly and from any device and they don’t need to pay for storage that they have no use for.

Advantages of Cloud Computing and Machine Learning in Health Care

Controlled Expenses

Machine Learning in Health CareAs already mentioned above, cloud computing gives health care organizations the ability to have more control of their capital because they don’t have to spend all of it investing in hardware data storage systems. Now health care companies can pay only for the data storage they need, and only when they need it. Cloud computing helps organizations focus customers and patients, rather than on the heavy lifting of racking, stacking and powering servers. Hence organizations can focus on projects that differentiate their business and make their patients happy.

Economies of Scale

As with the above advantage mentioned, one of the ripple effects is economies of scale. Companies can take advantage of being able to control their capital spent and control how much variable capital they put into their cloud storage. This will allow companies to strategize how they spend their capital for an increase in economies of scale.

Offer Better Services to Patients and Clients

The flexibility that using cloud computing allows can be transferred to other customers as well. Health care organizations can make consumer-facing platforms that offer more options and services to their patients and stakeholders without having to worry about the data storage consequences and costs that might arrive. The user-facing platforms help increase patient engagement, user experience, and overall customer satisfaction.

Improved Data Storage and Access

Machine Learning in Health CareAll the advantages of cloud computing translate to this advantage while is very crucial to the day to day operations of a health care organization. Increase data speed and agility means that doctors and nurses can have instant and immediate access to patient data as they go about their day to day in the hospital. This means faster response time, faster and more accurate diagnosis, and better patient and doctor engagement. Cloud computing also increases geographical access of a company and have them be global easily. Health care organizations and companies can easily deploy their applications in multiple regions around the world with just a few clicks

Types of Cloud Computing

Cloud computing can be classified into three main types. They are Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Each type of cloud computing meets different data needs and are compatible with different machine learning applications. Health care organizations should choose the type of cloud computing that meets their data needs. Broken down into frontend software that is recognizable, cloud computing services can be classified into these three categories

Mobile Services

Mobile is the future as more and more people now access data and web services using their phone. Companies use mobile services to optimize their mobile offering and offer their patients and consumer more convenience in the accessibility of data.

Websites

Machine Learning in Health CareEvery business needs a website and for some businesses, their website constitutes the most important part of their business. Some business entire business model is their website and so having the best data storage and cloud service for websites is important to the business.

Backup and Storage Solutions in the Cloud

One of the reasons the cloud is so popular and highly coveted is because of the storage ability and options that it provides to its users. Health care organizations can store data in the cloud and access it whenever they want from any location and with any device that can access the internet.