Coming from a linguistic background, I never expected to spend my working days with a company where algorithms and mathematics play such a vital role. As healthcare communications professional I almost accidentally bumped into Orikami, a Data Science company from the Netherlands, specialised in healthcare & life sciences. I fell in love instantly with their enthusiasm, the crazy way their minds work, the solutions they provide and the drive they have to research and validate….
From that moment on I am convinced that, at the cross-section of healthcare and data science, real innovations towards truly personalised solutions begin. At Orikami, we use state of the art machine learning techniques to discover hidden patterns in healthcare data and make predictions based on these patterns. We believe healthcare is as personal as it gets. Your health is not mine and my experience of fitting care is probably completely different from yours.
Delivering high-quality personalised healthcare
The biggest challenge of healthcare remains to find a solution to deliver fitting and affordable healthcare. We are absolutely sure that by using our modern Data Science tools we are able to deliver efficiently, high-quality personalised healthcare. We do so as consultant and service provider and by developing our own products. Sounds too good to be true? Let me give you an example.
Read more articles from our Dutch Digital Health special feature here >>
Multiple-Sclerosis self-monitoring and predictive analytics
When our team was confronted with the personal tragedies surrounding MS, we couldn’t believe that there were no signals to predict upcoming setbacks, or at least signals to monitor every day life with MS. We were actually convinced that by using modern technology we should be able to find patterns in MS data to help patients manage their condition. So, together with MS patients and MS clinics in the Netherlands we developed a Multiple-Sclerosis self-monitoring and predictive analytics tool. We provide a smartphone based multi-dimensional longitudinal measurement of disease activity in MS. Predicting personalised treatment trajectories. Combining data from a smartphone app (including clinical neurological tests & queries) with Fitbit data, we aim at personalising diagnosis, prognosis and treatment of Multiple Sclerosis in order to help people with MS gaining control over their lives again.
Want some more Orikami examples of real innovations towards truly personalised solutions? www.orilkami.nl
By: Marieke Timmer MSc, Healthcare Communications Director
