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Community-Based, Longitudinal cohort of Patients with Interstitial Lung Disease in the Kaiser Permanente Northern California Health System

The study aim is to optimize the Kaiser Permanente Northern California (KPNC) Interstitial Lung Disease (ILD) algorithm and establish the KPNC-ILD cohort. The KPNC-ILD cohort will consist of approximately 10,000 patients with ILD. It will be built through electronic health record-based case identification using an algorithm. We will optimize the existing algorithm and have a fully operational case identification process to build the cohort. The algorithm will be useful to clinical researchers worldwide who are interested in using large, electronic health record-based datasets to identify ILD cohorts.

Investigator: Iribarren, Carlos

Funder: Genentech, Inc.

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