One of the big problems with the healthcare systems – whether we’re talking the NHS or private healthcare in the UK, is that it’s not entirely possible to link up all the databases of patient data. For example, if you decide to claim on your private health insurance to fix an illness or injury, it’s pretty hard for the practitioner to get all of your previous medical history from your GP, for example.
But one company has developed a Robotic Process Automation tool that can match patient data, whatever the database and however the information is formatted.
It’s been developed by Sean Lane, a former NSA operative, who served in Afghanistan and Iraq when he realised how disjointed all the medical information is. His past experience included identifying criminals from lots of different data sources, which is the foundation of how Olive works.
There are so many data siloes that operate and they don’t always communicate with each other, making it very difficult for healthcare professionals to collate the background history to make a diagnosis or treat a problem.
Even within the NHS, medical records don’t always match up, but Olive changes that, using AI to control the software that already exists in healthcare. It uses a combination of computer vision and RPA to use medical systems exactly like a human would, opening browsers, typing and using a mouse.
When it finds the information it needs, Olive can use human-like decision making skills taught using machine learning from historical data. It’s
“Olive loves all that crappy software that health care already has,” Lane said. “Olive can look at any software program, any application for the first time she’s ever seen it, and understand how to use it.”
The computer system can find records, login to medical portals, create files, reports and insurance claims for patients, saving both the professionals and patients lots of time.
