Ninety-four percent of healthcare executives report that artificial intelligence, blockchain, and other emerging technologies have accelerated the pace of innovation over the past three years, according to an Accenture report.
However, the report also found that while technology investments have progressed, healthcare organizations still need to do more to meet rising consumer and employee expectations.
The healthcare industry has largely come to recognize that digital technologies must be a core part of everyday processes, with organizations increasingly investing in social, mobile, analytics, and cloud technologies. Eighty percent of healthcare executives agreed that these tools have moved beyond adoption silos to become an integral part of the technology foundation of their organizations.
Here is how AI, ML, and blockchain are reshaping the healthcare industry.
Impact of AI and ML in Healthcare
Artificial intelligence and Machine Learning in healthcare refer to the use of complex algorithms designed to perform certain tasks in an automated fashion. When researchers, doctors, and scientists inject data into computers, the newly built algorithms can review, interpret, and even suggest solutions to complex medical problems. Applications of Artificial Intelligence in healthcare are endless. AI and its subsets are used for medical diagnostics to diagnose patients with specific diseases.
There are dozens of health and pharma companies currently leveraging Artificial Intelligence and Machine Learning (particularly deep learning) to help with drug discovery and improve the lengthy timelines and processes tied to discovering and taking drugs all the way to market. One of the greatest examples is how pharma companies are using technology to discover potential drugs for coronavirus pandemic.
Moreover, patients’ outcomes can be improved through a wide variety of strategies and outcomes-driven by artificial intelligence. AI and ML in…