We are excited and proud of EHDEN’s progress in year two, and on behalf of the Consortium, thank everyone who has collaborated with us on our journey so far – it has been remarkable. Certainly, the historic year of 2020 and the ongoing global pandemic have reinforced the need to ensure the right data is … Read more
Recent study-a-thon investigates the natural history and outcomes of prostate cancer patients managed with watchful waiting. A conservative management option for prostate cancer patients with a life expectancy of less than 10 years at time of diagnosis. The patient’s disease is ‘watched’ for development of local or systemic progression until they require palliative treatment (care … Read more
Do you have questions regarding our currently running open call for SMEs? Watch our new webinar on this open call to get your questions answered, and don’t forget to submit your application before the deadline of April 12th! More info via our Open calls for SMEs page.
Following two successful open calls, EHDEN launches the 3rd open call for SMEs to apply for training and certification on converting health data from various formats to the OMOP common data model. Today, in Europe, we are challenged to generate insights and evidence from real world clinical data at scale, to support patients, clinicians, payers, … Read more
On February 16th, EHDEN was featured in the OHDSI community call as Peter Rijnbeek (EMC) and Nigel Hughes (JnJ) gave a presentation on “Enabling Large-Scale Analysis of Electronic Health Records in Europe: The EHDEN Project” The slides can be found here while the recording of the presentation is available on YouTube.
In this module you will gain deeper insights into defining phenotypes, characterising and evaluating using OHDSI tools, Cohort Diagnostics, PheValuator, and ATLAS. In a stepwise approach, you will be guided in how to use the various R tools, how Cohort Diagnostics can support characterising a cohort, evaluating its attributes and potential flaws. Understanding the rationale … Read more
In this module you will gain deeper insights into patient prediction modelling using OHDSI tools, in particular ATLAS, and focusing on: Defining prediction questions Identifying useful prediction questions of most relevance to prediction modelling Developing prediction models Evaluating prediction models Presenting prediction models This course was originally delivered in a group setting but has been adapted … Read more
This course describes the infrastructure and tools used to work with patient-level data converted to the OMOP Common Data Model (CDM). Within this course we will cover the process for installing and configuring the OHDSI’s WebAPI and Atlas tools. OHDSI’s WebAPI is a Java-based application that provides a web-based application programming interface (API) for standardized … Read more
This course describes Extract, Transform, and Load (ETL) processes to take your database from raw observational data to the OMOP Common Data Model. Steps 1 and 2 will focus on the tools available for designing ETL logic in a way to communicate to a developer how source data should be handled during conversion to the OMOP Common … Read more
In this module you will be able to gain deeper insights into population-level effect estimation. We cover one specific type of population-level effect estimation method for generating clinical evidence: comparative cohort studies. The course presents a framework for formulating comparative effect research questions and discusses what makes good and bad questions. It furthermore describes how … Read more