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Published on Aug 19, 2014
Increasing regulations on patient data, expanding and ever-changing data volumes and formats, and the need for real-time analytics are adding new levels of complexity to database platforms, forcing Healthcare IT management to rethink legacy database environments.
Join Christopher Rosin, Ph.D., Chief Scientist at Amara Health Analytics, as he shares his knowledge about implementing a real-time predictive analytics platform to support clinicians in the early detection of critical disease states. Based on years of research and hands-on experience, Chris provides practical steps for guiding DataStax Enterprise initiatives from evaluation to successful implementation.
Watch to learn: - The challenges in selecting the right database technology for dynamic, real-time data without the rigidity of relational systems - How Amara’s SaaS model delivers real-time decision support, leveraging large amounts of unstructured and structured clinical data - How DataStax Enterprise helps meet strict requirements on patient data privacy, data integrity, and system performance