Mebomine: Using AI to draw clinical insights from online patient communities

Putting patients first is hard to do at scale. Interviews and focus groups are expensive, as is categorising and analysing the data you get from them.

Yet at the same time, huge numbers of patients are using online communities to share everything from symptoms and treatments to adverse events and diagnosis journeys.

Developments in natural language processing and machine learning make it possible to use this data to draw meaningful conclusions of the human side of healthcare. What are patients worried about? How do their health issues and treatments impact their experience of daily life? And what would they judge a successful recovery to look like?

Mebomine’s unique data analytics methodology combines domain-specific natural language processing, machine learning and statistical analysis to find, interpret and link clinical insights about thousands of conditions and treatments. In doing so, this AI tool offers a new way to capture the patient experience.

It’s the ultimate virtual focus group – consisting of real patients, at scale, and with reports delivered in weeks rather than months. When combined with conventional patient reporting, Mebomine recentres the patient for an accurate and holistic approach.

We’re seeking new customers who would benefit from Mebomine and further investment to help us develop this approach.