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Observational Health Data Sciences and Informatics (OHDSI) Opportunities for Observational Researchers

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This is an essay from OHDSI, as a summary of Rae Woong Park’s speech. You will be able to find the common data model developed version; what software tools they developed; how they build their research networks. The main purpose of OHDSI is to create and apply open-source data analytic solutions to a large network of health databases to improve human health and wellbeing.
You can check Achilles, a browser-based visualization tool that OHDSI developed for reviewing clinical databases is also mentioned in this essay. Find out more about what this software can do. If you want to see the demo, you can find their link here: ACHILLES for data characterization.
This is an essay from OHDSI, as a summary of Rae Woong Park’s speech. You will be able to find the common data model developed version; what software tools they developed; how they build their research networks. The main purpose of OHDSI is to create and apply open-source data analytic solutions to a large network of health databases to improve human health and wellbeing.

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