Pryv and RodanoTech team up to optimise clinical research/trials with patient generated health data.
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
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
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.
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.
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.