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A data-driven, health economics consultancy

Coreva Scientific provides consultancy services to companies with an interest in healthcare. You, as a provider of medical products, need to effectively Communicate Research Value. It is from this premise, that Coreva was born. We are specialists in data acquisition, analysis and modelling. Our aim is to provide you with health economics insights and product value through the development of a data-driven, evidence-based value narrative. You should contact us for bespoke data analysis and health economics modelling projects. Off-the-shelf solutions are off the table, all our work is developed de novo for each individual project and client. this makes sure that our analyses are fit for purpose and make the best use of the data available.
Taking product, user and trial data from a research program or primary research, Coreva Scientific will distill data and synthesize new data streams to provide keystone value messages.

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Projects

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Products

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Deliverables

Values
Transform data into value

Our raison d’être is to “transform data into value”. We employ standard but often advanced scientific principles to encourage your data to ‘talk’. The Coreva Scientific focus on academic, scientific integrity means that all our work passes validity tests and is suitable for publication in the most highly regarded journals and congresses. Although we are not medical writers, we do aim to publish as much of our work as possible in scientific, peer-reviewed journals or at professional congresses.
Coreva Scientific puts a strong focus on communication and customer service. We want to enjoy our collaborations with you and are dedicated to building long-term relationships with each of our partners.

Data security

Your data is secure with Coreva Scientific. All our servers use enterprise grade security and only scientists working on your project can access the related data and files. Access logs mean that any interaction with your data can be identified. We also avoid email data transfer due to its inherent lack of security. Each client with Coreva Scientific has their own secure upload and download area. To ensure data integrity, all servers are RAID protected and backed-up. As we use data in our projects and analysis, all values are cross-referenced to their source to ensure a data trail for internal audit and approval. Cross-referenced source data and data access logs can be provided to the client on request.

Healthcare compliance

The Health Insurance Portability and Accountability Act (HIPPA) is one of the most far reaching legislative act passed and it directly affects healthcare providers in the US and those working with them. The servers used by Coreva Scientific are compliant with HIPAA and HITECH requirements, meaning that you can share data with us secure in the knowledge of continued compliance. In line with data laws, Coreva scientific uses compliant AWS servers with the General Data Protection Regulation (GDPR) (EU) 2016/679 and HIPAA. Given the 2015 ruling on case C-362/14, any client concerned by data storage on servers owned by a USA company can have their data stored fully in the EU (Karlsruhe, Germany) on a TÜV (ISO 27001) certified server. Within our system, we can also offer storage on any AWS server location (covering 6 continents) you request to maintain your data sovereignty.

Scientific integrity

At the heart of all our work is academic, scientific rigour. Working with Coreva Scientific, you can be sure that all analyses, conclusions, and developed value have scientific validity. We are always confident that data can deliver value, if we cannot, however, answer the questions that you require using the available data we will let you know in the quickest possible time. We will never ‘create’ data, it is just not what we do!

Collaboration

It is always our aim to collaborate with our clients, with everyone on an equal footing. Coreva Scientific believes that it is only in this way that ideas and creative solutions can be brought to the fore, allowing for development of value that has previously gone unrecognised.