The EHDEN Academy is a free, online educational resource for professionals in the domains of real world data (RWD) and real world evidence (RWE). Originating from the collaborative framework of the EHDEN project and supported by the Innovative Medicines Initiative 2 (IMI2) joint undertaking, the EHDEN Academy operates on a global scale, currently engaging more … Read more
Starting any PhD can be a bit of a daunting experience. Even more so when you jump into a major international project like EHDEN. Many of the advantages of the project, such as the opportunities for collaboration, its inter-disciplinary nature, and ambitious goals contribute to a high-paced environment, which, as a fledgling researcher, can be … Read more
As part of our commitment to education, we at the EHDEN Academy are pleased to share our new HTA track of courses, curated by our partner NICE and developed by leading experts. These courses are designed to empower healthcare professionals, researchers, and policy-makers with the tools and knowledge needed to drive innovation and efficiency in … Read more
We’ve just launched a new course in the EHDEN Academy: “Using R for Patient-level Prediction”. Check it out now and start your learning journey via http://academy.ehden.eu. The primary goals of the “R for Patient-level prediction” course are to explain how to: Install and set up the PLP Package Develop a prediction model using R Develop … Read more
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
The aim of the EHDEN foundation course is to explain first and foremost what the EHDEN project aims to achieve, how it will do this and what the final result will be. However, no project stands alone and therefore we provide more context on how EU research is being done, why real world evidence is … Read more