The AI and IoT revolution changing the healthcare sector

Technology is streamlining healthcare

Admin and logistics is being transformed with healthcare suppliers investing in self-service interfaces and Robot Process Automation (RPA) to streamline and create a more cost effective front end service. From AI Architects to PMs, the human resources required to achieve these goals is pushing demand up for highly skilled tech professionals. 

If a patient can receive a diagnosis from an AI interface, meanwhile – or if they can simply talk to a nurse via videochat – then it saves them from visiting a medical facility, cutting down the need for travel and inconvenience and, more importantly, removing the risk of picking up an infection while at the facility. In the case of chronic disease management, where an individual might need to visit a care provider on a daily basis for testing and monitoring, this can make an enormous difference.

There is still a great deal of work to do when it comes to fine-tuning the technology. “My team does a lot of work in natural language processing, and most of the models and algorithms we deliver are still rightfully considered open problems in academia,” says David. “It’s the same in many areas of what’s called today ‘AI’ – expansibility is an open problem. Bias is an open problem. Automated feature or network engineering is an open problem. There are no standard frameworks or best practices for deploying, debugging, reproducing or operating models. Consider where machine learning techniques and tools are today – compared to other areas of computer science like compilers or relational databases which have been incrementally improving for half a century – to see just how much innovation is still ahead of us.”