Computer controlled robots, otherwise known as Intelligent Machine Systems and powered by Artificial Intelligence technology, are built to process thoughts and perform tasks much like humans, but potentially quicker and better. They can even reason and learn from past experiences, and some scientists estimate that in the future these machines could replace certain functions that human beings currently do (i.e. performing work tasks). The legendary Stephen Hawking once said, “Humans, who are limited by slow biological evolution, can’t compete with AI-aided machines and will be superseded.” Entrepreneurs like Elon Musk and Bill Gates have both publicly shared similar opinions.
With that, Artificial intelligence technology is still evolving and the chances of it taking over our jobs in the near future is low. But still it’s hard to deny the fact that AI-aided machines and systems have helped to improve the efficiencies of several industries, including healthcare. We have witnessed hospitals and providers embracing this technology because it has allowed them, in many cases, to streamline their daily operations and focus more on providing the best patient care possible. Here’s how:
- A Transition from Reactive to Predictive Care
Up until now, the healthcare industry has functioned in a notoriously reactive way, offering treatments or tempered solutions to their patients in order to treat or manage symptoms as they occur. In today’s world, however, AI-integrated systems are being used to help predict conditions before they become life-threatening. The UPMC, Sharp Case Study gives us a good example of this, explaining how they used an AI-aided system to predict at-risk health declines (those that are going to occur within a 60-minute time frame). This artificial intelligence-based system amazingly provides 80% accuracy which has helped UPMC to dispatch their emergency response teams quickly before problems become truly life-threatening.
- Helps Providers Determine the Best Course of Treatment
Electronic health record systems are now widely used in practices to help providers maintain an organized record of patient health and care. This collection of information contains details about medical history, allergies, medicines, and more on all patients. By way of artificial intelligence solutions, providers can make connections and predictions in order to ultimately provide the best treatment and medication to their patients.
- Chatbots To Revolutionize Telehealth
Intelligent chatbots simulate real human conversational language as a way to answer queries or assist with navigation. You can experience these for yourself by trying out Amazon’s Alexa or iPhone’s Siri. This concept is also used in Customer Support Centers that manage voice and data communication like email, web-based chat/instant messaging queries, and websites/landing pages. This implementation of artificial intelligence can and likely will revolutionize the telehealth sector of the healthcare industry by automating certain processes for individuals or families who don’t have access to public transportation, or for those who might live in rural areas.
- Risk Prediction Using Wearable Devices
Wearable health monitoring devices are becoming more sophisticated by the day. These devices record important health information users and AI-integration helps to interpret the data in a meaningful way in order to predict health risks (such as a heart attack or stroke). The application of artificial intelligence in wearable health monitoring devices serves to warn the person about health risks long before those risks become critical.
- Super Computers For Clinical Trials
AI has the potential to save billions of dollars that might otherwise be spent on clinical trials to check the effectiveness of a medicine against a specific disease. Recently, The University of Toronto programmed a supercomputer to analyze millions of medicines to predict their effectiveness against the Ebola virus which ended up saving them from spending money on costly tests. So, this integration of artificial intelligence in clinical trials can completely change the landscape of drug development as well.