Maxim started at The Hyve in March 2016 and is involved in the OHDSI project. He has a master degree in Bioinformatics and a bachelor degree in Medical Natural Sciences. During his internships he worked a lot on modelling biochemical networks. He worked before with converting sports data to a common database model. Now he will combine this skill with his biological knowledge to start as a data scientist at The Hyve.
Introduction OHDSI is a well-established observational health analytics platform, supported by a very active community of researchers, developers and clinicians. Originally, the efforts mainly focussed on digitization/analysis of health insurance[…]
Everyone involved in scientific research knows that the credibility of conclusions drawn from a study, increases with the number of participants. As Big Data has enabled analysis of medical data from large numbers of patients and a vast number of[…]
The Hyve hosted a Pistoia Alliance workshop on FAIR data at its Utrecht office on the 5th of June. We welcomed 28 participants to exchange of views on how to best implement the FAIR principles within Pharma and Life Sciences R&D.
The first OHDSI Symposium in Europe will be held in Rotterdam (NL) on March 23 2018, hosted by the Erasmus Medical Centre. As with previous international OHDSI symposiums, Maxim and Kees will attend the meeting. Stefan, Julia, Irina, and Marinel[…]
The aim of the third Health-RI (Research Infrastructure) conference, held on 8 December 2017, was to highlight the challenges in bridging the gap between research and medical practice. Although many challenges still lay ahead, we are delighted to[…]
Almost 400 attendees from all over the world, came together during the annual OHDSI symposium, to discuss the progress of the OHDSI platform. From The Hyve, Kees and I attended. During the symposium I gave a talk on the transformation of Swedish EHR[…]
An important part of ETL to the OMOP CDM is mapping the source concepts to the standard concepts in the OMOP vocabulary. This can be as straight forward as mapping ICD-10 codes to SNOMED or as difficult as mapping a national drug vocabulary to[…]