Following three successful open calls, EHDEN launches the 4th and final 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, … Read more
The European Health Data & Evidence Network (EHDEN) recently completed its 3rd open call for SMEs (Small & Medium-sized Enterprises), paving the way for an acceleration in mapping health data from various formats and institutions to the OMOP common data model. This will ultimately result in a Europe that more smartly manages and utilises healthcare … Read more
To become more of an equal partner, patients and patient groups need to be better versed in health data literacy to be able to meaningfully engage and contribute to shaping discussions, and the course of RWD/RWE.
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
One year ago, April 2020, the EHDEN Academy was launched as an offshoot of the European Health Data & Evidence Network (EHDEN) project to support upskilling for those working with real-world data to generate real-world evidence of healthcare interventions. Initially, it has been supporting EHDEN’s programme of training and certifying small-to-medium sized enterprises (SMEs) in … 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
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