How Lifepoint drove insights and boosted quality through its data migration.
Having clear, actionable data is vital for health systems to thrive in today’s environment — but data silos, accessibility issues and the sheer volume of information can make taking action a dizzying task. In this webinar, learn how Brentwood, Tennessee-based health system, Lifepoint Health embarked on a data migration journey that liberated their data, consolidated data sources, migrated siloed data to one consolidated data store, and created centralized, longitudinal patient views that supported care variation reduction, improved data analytics goals and helped drive national quality program initiatives. Hear how the system and its partners, Clinical Architecture and Verato, achieved rapid, real-time integrations of 60 facilities into FHIR and big-data repositories while addressing data normalization and patient identity matching in-flight.
Learn
Learn
- Primary components of a big data strategy
- Critical steps for successful data migration – clinical data harmonization and identity matching
- How to implement technology to uniquely identify and match patients across a large health system
- The value of implementing an enterprise data quality solution across a large health system
- Best practices and lessons learned from assessing, planning, and executing processes for a big data solution
