How AI will change healthcare

The amount of data from healthcare services is increasing incredibly fast, both in volume and in the amount of different data sources. Data that didn’t previously exist is now beginning to emerge and the volume of pre-existing data is growing. This is not unique to healthcare, but merely follows the trends in society that we can observe. Many industries have felt significant impact from this but within healthcare, several factors have slowed the pace of change. Major, complex issues are involved, with sensitive data, locked into extensive, long-term contracts with technology providers.

Now, on the other hand, data standardization is beginning to have a much stronger impact. This is one of the reasons why you will be able to share data and make greater use of it than before, when it was locked into more specialist solutions. Also, there are great tools to help you along the road, such as automation and AI, that can make great impact.

AI provides intelligent decision-making support
The increased amount of data from healthcare services is a big challenge for doctors and specialists to handle. The limits for the amount of data that human beings can process has since long been exceeded. Now it is more a matter of multidimensional, complex problem-solving, i.e., many parallel effects are involved. Consider a patient with multiple co-morbidities being admitted to hospital. The combinatorics arising in relation to the knowledge that exists is very difficult to resolve and use as a basis for real-time decision making.

This is one area where AI will have a massive impact on healthcare. AI will support doctors and specialist healthcare practitioners with decision-making support that is more intelligent than before. For example, with trained machine-learning algorithms that provide a specific basis for decision-making using data from the care recipient. This can provide more consistent care for all, and a faster, safer process. However, this process is not revolutionary; it has come about through small, gradual improvements, and will continue to do so. Nevertheless, the need for quality assurance in the healthcare industry is for obvious reasons more important than in many other sectors when it comes to having to make sensitive decisions. This is a contributing factor to why it has taken longer for healthcare to make more use of AI up until now.

We now know that AI and healthcare will be linked in the foreseeable future. Everything from decision-making support to user interfaces and the type of aids that can be provided for healthcare. One example of how AI support can be implemented in reality can be found in the winning solution from an AI hackathon that we arranged in May 2021, together with Microsoft and Nvidia. This hackathon was fully online, over a timespan of 3 weeks, and purely focused on healthcare. The results are 37 impressive submissions. The winning team created the ‘’Medical Image Communication Tools’’ application that detects wrist fractures. Made in only three weeks! You can read more about the Hackathon AI for Healthcare on our blog by clicking this link.

AI streamlines and facilitates
It’s not just in the medical area where AI will have a massive impact on healthcare. According to McKinsey & Company, AI can both streamline and facilitate work for all healthcare professionals and reduce overall time spent by up to 35% through various automation processes. Healthcare services are full of manual procedures and tasks. Lots of things just need to be moved around inside the hospital, waste bins need to be emptied, and rooms need to be prepared. Also within this area, there is a clear potential for enhancing the efficiency of healthcare operations by using AI for reducing the number of manual tasks. For us humans, it can be difficult to see the full picture, but for AI it is much easier to signal when it’s time to empty a specific waste bin or optimize a room.

Medical advances are digital
Medical advances have reached record speeds, raising life expectancy around the world. But this also places greater demand on healthcare practitioners as more and more patients with more complex conditions seek care. Often these are patients with co-morbidities and extensive medical records that are difficult to review. AI solutions can be a great support for the clinicians for many types of decision making in clinical settings, where machine-learning algorithms provide a specific basis for decision making derived from the care recipient’s data.

The future of healthcare starts now
Knowing that there are many possibilities for a greater healthcare is inspiring, yet it can also feel overwhelming. However, the idea of being able to create true impact within people’s lives drives many of us. And the sooner we start trying out our ideas, the sooner the results will come.

If you are ready to see how technology and innovation can kickstart solutions to your most attentive challenges, we encourage you to sign up for the chance to get an exclusive seat at the 2022 edition of Stratiteq Hack. A hackathon where our developers, business consultants and analysts innovate and create actual solutions to real life challenges. Read more and sign up for free here. Good luck!