Lausanne, 21 August 2018 – Pryv, the leading provider of privacy and personal data management software, today announced a milestone partnership with RodanoTech, the leading Swiss-based CRO specialised in clinical data management services.
The collaboration includes the development of an innovative clinical data management solution providing a comprehensive picture of each patient’s journey – one which combines patient reported outcome (PRO) data with clinical records collected by healthcare professionals. The platform is designed to meet the unique needs of the investigational research as well as the post approval market, including phase IV studies, registries and online medical communities.
“Patient relevant outcome measures are a proven necessity to assess the efficiency, effectiveness and personalization of clinical trials” said Samir Mechati, CEO at RodanoTech “It supplements existing clinical data, increases treatment adherence and provides important insight about how patients are doing between medical visits”.
The patient data set is expanding from the high-quality information collected in the clinical protocol to the more private data collated from wearables, mobile apps and in-home clinical devices. By streamlining the collection and integration of this dataset, the joint Pryv/RodanoTech solution ensures a real-time connection with the patient health – capturing insightful data measured and influenced outside the four walls of the clinical setting.
“Real time, real world data that can be captured in patients’ daily lives is a powerful tool to optimise clinical research” said Pierre-Mikael Legris CEO at Pryv “Our platform will not only capture patient data but will also give participants a view on their own trial dataset, sending a strong message of transparency and inclusivity which can turn them truly engaged”.
Patient consent is a critical process that has historically been highly inefficient and prone to error. The joint Pryv/RodanoTech platform optimises that additional level of security between participants and clinical trial sites. Its greatest value comes from its dynamic, fine-grained consent and re-consent capability which gives patients the trust, transparency and control they require from clinical trials. The platform logs all authorizations, including the ‘contract’ between the patient and the investigator, for compliance oversight as mandated by GCP guidelines and privacy regulations.
RodanoTech and Pryv offer tailored solutions to conduct projects of any size, from small Phase I studies to large scale trials involving sophisticated designs and long-term follow-up across clinical settings and geographies. Our Academic offer begins with a “get started” costing for proof of principles and goes to a premium packaged solution for large scale clinical trials.
Contact us to discover the power of a tailor-made platform combining clinical and patient health data and supported by leading experts with extensive experience in clinical development.
About Pryv
Pryv helps organisations manage personal data from creation, to use and sharing as well as address the enhanced data subject rights under GDPR such as transparency, portability and right-to-be-forgotten. Packaged for rapid integration, the software solution comes with a turnkey IoT connectivity, secure storage vault, fine-grained consent management and comprehensive auditing capability that radically cut IT development costs and accelerate time-to-benefit while addressing most stringent data protection requirements.
About RodanoTech
RodanoTech is specialised in clinical data management services and electronic data capture solutions for industry and academic projects. The RODANO platform is the underlying proprietary technology that powers all RodanoTech solutions. RODANO is based on the most recent technical standards to streamline all aspects of the study conduct and complies with the latest recommendations regarding the use of computerized systems in clinical investigations (21 CFR Part 11). The platform can scale and adjust to accommodate clinical trial complexities through systematic automation of repeatable processes while providing appropriate hooks to new data collection methods.