The Rhön-Klinikum group of private hospitals over in Germany has announced its intention to use a pilot ‘cognitive assistance system’ provided courtesy of Watson, at the organisation’s Centre for Undiagnosed and Rare Diseases, which is based in the University Hospital Marburg.
When patients contact the centre, they come with a lengthy medical history bristling with lab tests, prescriptions, clinical reports and all manner of sprawling data. And unsurprisingly, physicians struggle to make sense of all this unstructured data in a timely fashion.
Professor Dr Jürgen Schäfer of the University Hospital Marburg (far left in the above picture, next to Dr Muhidien Soufi and Dr Volker Ruppert) commented that: “It’s not uncommon for our patients to have thousands of medical documents – leaving us overwhelmed, not only by the large number of patients, but also by the huge amount of data we have to review.
“This is especially challenging since our work is often like looking for the proverbial needle in the haystack – even the smallest piece information could lead to an accurate diagnosis.”
The process of fully reviewing a patient’s history and making a diagnosis can take several days, in fact, so the idea is to bring Watson on board in a year-long pilot project in which the AI will analyse and crunch said data, supporting doctors in their findings and helping speed everything up while maintaining safety.
Patients will fill out a digital questionnaire which will be piped through to Watson, although not before the data has been anonymised.
Dr. Matthias Reumann of IBM Research, healthcare scientist and technical leader of the project, commented: “Using cognitive computing we are building a list of hypothesis which we then present to the doctors, including their sources, for the ultimate data driven diagnosis. If one lab result is slightly out of the normal range, Watson can find it for further investigation.”
The new system will not only help with diagnosis, but also to route patients through the correct medical channels, ensuring they see the right specialists and so forth, and ultimately saving time and money in terms of avoiding mistakes when it comes to treatment.
Image Credit: IBM Research