“10-Minute Tutorial” Video on Creating Cohort Definitions in ATLAS: Click Here ATLAS Wiki (includes YouTube tutorials).That code can then be run in any environment with an available CDM without needing to install ATLAS and the WebAPI. It is even possible to fully define an effect estimation or prediction study using the public instance of ATLAS, and automatically generate the R code for executing the study. However, there is a public ATLAS, and although this ATLAS instance only has access to a few small simulated datasets, it can still be used for many purposes including testing and training. Performing real-time analyses requires access to the patient-level data in the CDM and is therefore typically installed behind an organization’s firewall. ATLAS is deployed as a web application in combination with the OHDSI WebAPI. For example, there appear to be a near-infinite number of ways to compute an incidence rate, but these can be specified in the OHDSI tools with a few choices, and anyone making those same choices will compute incidence rates the same way.ĪTLASis a free, publicly available, web-based tool developed by the OHDSI community that facilitates the design and execution of analyses on standardized, patient-level, observational data in the CDM format. This makes performing analyses easier, and also improves reproducibility and transparency. Rather than having to start from scratch, an analysis can be implemented by filling in standard templates. Furthermore, these tools standardize the analytics for various use cases. What these tools have in common is that they can all interact with one or more databases using the Common Data Model (CDM). OHDSI offers a wide range of open-source tools to support various data-analytics use cases on observational patient-level data.
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