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Rae Woong Park, MD, PhD1
1Department of Biomedical Informatics, Ajou University, School of Medicine, Suwon

BACKGROUND: Use of healthcare big data such as electronic Health Record (EHR) data or claim data for observational study is increasing. However studies using observational data obtained from an EHR are usually lack in subject numbers and potentially have many biases and confounding compared to national claim data. Gathering multiple EHR data from different hospitals are promising to compensate the problems.
METHOD: Distributed Research Network (DRN) is a cooperative research networks that permit observational study across multiple databases through common data model (CDM) without creation of a central data warehouse. By distributing queries through network software and executing queries against the local data, and aggregating only the population-level results, it can provide the same results with that of central data warehouse which gathers data from all the participating data partner, while protecting privacy and confidentiality of patient¡¯s within the database.
RESULTS: The Observational Health Data Sciences and Informatics (OHDSI) is an international, multi-stakeholder, interdisciplinary collaborative organization with a central coordinating center housed at Columbia University to create open-source solutions that bring out the value of observational health data through large-scale analytics. Their vision is to transform medical decision making by creating reliable scientific evidence about disease natural history, healthcare delivery, and the effects of medical interventions through large-scale analysis of observational health databases for population-level estimation and patient-level predictions. The OHDSI recently released CDM v5.0 than can enable most of observational studies. More than 100 collaborators in the world are now actively participated in the OHDSI. They had developed more than 20 methods that work on the CDM over the DRN.
CONCLUSION: The DRN will enable researchers to access a network of billions of patients to generate evidence about all aspects of healthcare. Patients and clinicians and all other decision-makers around the world are expected to be able to use DRN tools and evidence every day.