Date: April 11, 2019
Venue: Bridgewater Marriott, Bridgewater, NJ

Srinivasan Anandakumar Clinical Analytics Innovation Lead, Saama Technologies will be speaking on “Build a Next-Generation Clinical/Scientific Data Management Solution”

Clinical/scientific data collected from electronic data capture (EDC) and third party (lab data, biomarker, PK/PD) data can be used to manage and control both trial effectiveness and Submission Pathway. There are a number of elements that clinical operations professionals should look for in a next-generation patient data repository like

· Real-time data collection and standardization through metadata-driven transformation

· Future-proofed with a big data platform for higher scalability in terms of larger volumes and multiple varieties of data

· Machine Learning-enabled to learn from historical data and metadata to provide study-specific transformation capability

· Self-service-enabled for all the critical user groups – data management, bio stats and programming and medical monitoring – for performing activities that involve both submission pathway and patient analytics

In this session, learn what a roadmap of such a patient data analytics solution looks like, including the building components and see an implementation case study along with a summary of Machine Learning experiments on patient data.

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