top of page
Professor Martin Wilkins, Imperial College
“We chose the Oka-Bi Pseudonymisation Toolkit for our Translational Research in Pulmonary Hypertension at Imperial College (TRIPHIC) programme because it combined the stringent protection of patient information with a flexible and scalable approach to handling data from diverse sources. With the support of Oka-Bi, we have been able to develop a robust system that links together clinical datasets, helps manage the associated biological samples in our Bio-repository and makes pseudonymised information available for research purposes. Oka-Bi enabled us to be self-reliant and remain fully in control of the data, which is stored and processed within the infrastructure of Imperial College Healthcare NHS Trust."
Andy Hall, Director, NHS Nottinghamshire
"The Oka-Bi Pseudonymisation Toolkit met the compliance criteria we were looking for in the protection of Nottinghamshire patient data. The automated development package, in particular, helped us develop our own system in-house and was a time saver whilst exhibiting accuracy and quality. Oka-bi were good to work with and worked very hard to help us implement the system and tailor the configuration to our local requirements. I would recommend their Pseudonymisation Toolkit to NHS organisations considering the development of systems to protect patient data. "
bottom of page