Assessing data is not objective and quantitative but can be a life or death assessment. The data is available in enormous quantities and for this reason AI is increasingly used in the healthcare and pharmaceutical industry. Big data is ” dead ” according to NTVG. It ensures that decisions are taken faster, cheaper, but above all better and more accurately. Use Artificial Intelligence for healthcare and pharmaceutical industry!
Healthcare is subject to a lot of change. The costs are rising, the waiting lists are sometimes long, cutbacks are being made, which creates enormous work pressure and the population is aging, which actually only increases the pressure on healthcare. Artificial intelligence is therefore enormously emerging within the healthcare and pharmaceutical industry and can be called a real forerunner as an industry!
In 2017, only 10,000 people worked in the artificial intelligence industry worldwide, 95% of whom worked for huge multinationals such as Google and Amazon. This means that only 500 people in the free sector worked on artificial intelligence.
There are already a few more, but still too few to allow the other industries to catch up. Because artificial intelligence will change business processes so much, rules have already been set by the US government to restrict acquisitions of American AI-related companies by Chinese companies (and this was for Trump.) The Dutch cabinet also sees that it is very important for our country to be at the forefront of technology in artificial intelligence. That is why training has been launched in recent years and she wants to double the investment in artificial intelligence and is allocating about 1 billion euros to achieve this.
The cabinet has also drawn up a special action plan for intensive public-private partnerships and investments for artificial intelligence. Nevertheless, several large companies indicate that the Netherlands misses the ‘boat‘ with artificial intelligence and are sounding the alarm. We are not moving fast enough! Time for action!
The key to unlocking the current healthcare system’s cost-structure problem, lies in transferring time-consuming human tasks to machines, while enabling patients to self-service their care needs where possible. That will reduce the amount of human labor required to keep more people healthier. — Forbes.com
Supplai understands that every company has and works on a core ERP system. The terms artificial intelligence (AI), artificial intelligence (AI), robotic process automation (RPA) and perhaps machine learning or deep learning (read more in our blog) can therefore be an elusive and difficult to understand technique. Because how do you connect this to each other?
We believe that you should set up your organization step by step, process by process, to use artificial intelligence and thus improve your business processes. Our solutions therefore also connect seamlessly with your existing systems. Think of it as a new app on your phone! We just add something to it. In the text below, let us inspire you with examples with artificial intelligence for the financial sector about how your company can look like with AI in the next 5 years.
As a doctor you see a lot of people one day. Yet a doctor spends only 27% on patients. Artificial intelligence should help to increase this percentage.
Fortunately, there are increasingly better machines that can map the human body. But how do you deal with these enormous amounts of data? Use artificial intelligence for better diagnoses and treatment plans. For example, a radiologist has to deal with learning to see 20,000 diagnoses during his training. This is very demanding from doctors.
A huge amount of statistics occur in the lab when researching new pharmaceuticals for pharmacy or research by doctors. Simulations are done based on results. In fact, artificial intelligence is so powerful here that Stanford already has a separate training for it and a pharmaceutical company has managed to shorten the development of a drug by means of artificial intelligence by 80%!
We are already quite far with artificial intelligence in hospitals. But what about the GP? A place where many health complaints are heard for the first time and where it is all the more important to make an equal and proper diagnosis in order to be able to make a possible referral as quickly and correctly as possible. Furthermore, a GP sees a lot of people with a diverse spectrum of complaints. It is impossible for a GP to keep abreast of all medical developments. Artificial intelligence can therefore be extremely suitable to support them.