The Sentinel Operations Center (SOC) coordinates the network of Sentinel Data Partners and leads development of the Sentinel Common Data Model (SCDM), a standard data structure that allows Data Partners to quickly execute distributed programs against local data.
Summary table assessment of the use of new molecular entities (NMEs) approved in 2011 and 2012 in the Sentinel Distributed Database.
Summary table assessment of the use of Brintellix and Brilinta in the Sentinel Distributed Database.
The SOC has drafted a document describing the ways in which SOC data quality assurance procedures align with FDA’s standards.
Summary table assessment of the use of all new molecular entities (NMEs) approved in 2013 and 2014 in the Sentinel Distributed Database.
This day-long seminar will provide an overview of Sentinel capabilities, including:
An individually randomized trial of a practice and patient level educational intervention to increase anticoagulant use for individuals with atrial fibrillation and increased risk of stroke (i.e. CHA2DS2-VASc score ≥2). This project is a proof of concept effort, the first trial conducted using Sentinel Infrastructure, and will inform future interventional studies that are designed to utilize existing healthcare data as part of their design.
The Sentinel Data Quality Review and Characterization Programs are used by the Sentinel Operations Center (SOC) for data quality review and characterization of the Sentinel Distributed Database (SDD). To create the SDD, each Data Partner transformed local source data into the Sentinel Common Data Model (SCDM) format. The SOC created a set of data quality review and characterization programs to ensure that the SDD meets reasonable standards for data transformation consistency and quality and that the SDD data meets expectations needed for a distributed health data network.
This activity will investigate the feasibility of conducting outcome-based TreeScan analyses within the Mini-Sentinel Distributed Database (MSDD) using angioedema and Achilles tendon rupture (ATR) as test examples. This activity will assess whether TreeScan is able detect known associations at the specific drug and class level.