Programpunkter

physical activity social media chatbot

This presentation concerns the results of pilot study conducted to provide directions for prescription of mHealth in Denmark.

CANCELLED. 
Research on real-world data is becoming increasingly important. The current restriction to clinical data in Germany limits the view of the patient. To gain comprehensive insights, claims data can be added to the existing knowledge. However, standardized transfer of German claims data into OMOP CDM is currently not possible. In this paper, we conducted an evaluation regarding the coverage of source vocabularies and data elements of German claims data in OMOP CDM. We point out the need to extend vocabularies and mappings to support research on German claims data.

Reproducibility imposes some special requirements at different stages of each project, including reproducible workflows for the analysis including to follow best practices regarding code style and to make the creation of the manuscript reproducible as well. Available tools therefore include version control systems such as Git and document creation tools such as Quarto or R Markdown. However, a re-usable project template mapping the entire process from performing the data analysis to finally writing the manuscript in a reproducible manner is yet lacking. This work aims to fill this gap by presenting an open source template for conducting reproducible research projects utilizing a containerized framework for both developing and conducting the analysis and summarizing the results in a manuscript. This template can be used instantly without any customization.

We suggest a process for finding elements of interest from FHIR profiles to support the setup of data quality assessments for data stored in FHIR servers.

Learn about Vulcan, an HL7 FHIR Accelerator that is developing interoperability standards in clinical research. During the workshop, we'll provide an overview of HL7, HL7 FHIR, the Vulcan Program, recent EuroVulcan event in Paris and HL7 FHIR activities in Europe. Workshop participants will discuss how to continue to develop & implement clinical research standards in Europe.

Privacy-enhancing technologies (PET) are becoming more important in the context of open data and data sharing approaches. Anonymization as one PET can address privacy concerns by manipulating data in a way that it can't be related to a person anymore. Resulting constrains in data quality need to be thoroughly investigated to ensure that implications drawn from the data are not biased. In our real-world application, we aimed to provide utility-preserved anonymized data while scaling privacy.  

Implementation Status of the Proposal for a Regulation of the European Health Data Space in Portugal.