How AI is Changing the Healthcare Industry

AI applications in healthcare are wide-ranging from customized predictive care based on patient data to the automation of administrative processes.

The revolution in communication technology has had a transformative impact on our lives. But the technological revolution of our time isn’t just changing the way we do business and stay in touch with one another – it’s radically changing the way we look after each other, too.

The advent of artificial intelligence (AI), with new advances being made all the time, holds particular promise for the future of the healthcare industry. Given AI’s ability to perform intelligence-based tasks, it’s not hard to see how this might be applicable to the delivery of healthcare.

Big-name tech firms are plowing large-scale investment into AI. They’re devoting huge resources to exploring how it might be used in the healthcare sector. AI itself is nothing new – it’s an idea with a history stretching back to the 1950s. The last few years, though, have seen the technology come on in leaps and bounds. Now, we stand on the cusp of an AI revolution in healthcare, with real potential to save and improve the quality of many lives.

So how can we expect AI to transform the way healthcare is delivered? Here, we’ll take a closer look at some of the key aspects.

There’s been a lot of hype about ‘big data’ and how it could change life as we know it. From retail to crime prevention, the implications of big data are wide-ranging. Healthcare also generates huge amounts of data, from patient histories to test results. However, part of the problem here is that the data can often be ambiguous, fragmented, or perhaps subjective rather than clear-cut. This can complicate matters considerably.

AI could help clear up these ambiguities and subjectivities, processing data much more efficiently. This is why it could potentially revolutionize patient diagnostics. Intelligent use of AI could allow for earlier and more precise diagnoses. This could lead to the creation of more bespoke treatment programs devised to suit individual patients’ specific medical needs. It could also provide a more granular picture of lifestyle factors and their implications for patients’ health.

However, the ethics of data usage and storage are complex.