About RSRCH
RSRCH is developed in co-creation with a leading Academic Medical Centre. The result? A platform focussed on the scientist and the research Institute.
Datum: 18/08/2017
The research and consultancy agency Gartner recently published its report on Transformational Digital Disruptions in Healthcare by 2025. In it, Gartner describes ten transformations in the healthcare sector using their Hype Cycle.
The most interesting part of the report is how one of these transformations, the Advanced Clinical Research Information Systems (ACRIS) will fundamentally improve the execution of biomedical research. Garner describes ACRIS as “a complex constellation of capabilities that can rapidly assemble data assets for clinical research questions. It also provides data mining and research process support to meet the needs of clinical and translational research, and related biostatistics and biocomputation. It includes electronic health record (HER) access, open-source components and approach for big data needs.” The report even states that if UMCs do not invest in an ACRIS, they will encounter more problems when applying for subsidies and signing research agreements. Gartner expects an ACRIS to be integrated in R&D within the next two to five years. Now, two years later, a digital research environment similar to the ACRIS is available on the market: the RSRCH Platform.
What makes the RSRCH Platform an ACRIS? Firstly, RSRCH has developed and implemented a Digital Research Environment (DRE) in close collaboration with the Radboudumc. This gives (clinical) researchers access to a better and more secure digital environment for finding, storing, processing and analysing data for their research. The RSRCH Platform meets the conditions for an ACRIS, as defined by Gartner:
We are curious to know if you also believe the RSRCH Platform to be a true ACRIS implementation. We would love to talk to you about how to assist researchers with the digital transformation resulting from the increased use of disruptive technology and the rapidly-growing quantity of data.