Charlotte De Vlieghere (Tiro Health)

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is a standardized framework designed by the Observational Health Data Sciences and Informatics (OHDSI) community. This open-science community aims to improve the quality of healthcare by providing guidelines for a more harmonized approach to data science.
Patient data is a treasure trove of information, vital to tailoring individual care pathways and generating profound insights to enhance healthcare more broadly. However, achieving interoperability among the diverse systems employed by various healthcare providers remains a critical challenge. Data standards like FHIR can help to streamline the secure exchange and seamless integration of healthcare data across these different systems. This article will take you through the FHIR framework and how it could be used by your organization.
Patient data can be extremely helpful for improving health. If properly utilized, valuable insights can be generated, leading to better care for all. To do this, we need a way to overcome the incompatibility of information systems used by different healthcare providers, so that we are able to conduct large-scale research projects using data from multiple sources. The key to this lies in implementing data standards, such as OMOP and FHIR – specific methods developed for the storage, sharing, and interpretation of healthcare data.