RESEARCH & RESOURCES

Harnessing the Power of Big Data for Healthcare Organizations

TDWI Speaker: Dave Stodder, TDWI Research Director

Date: Tuesday, September 10, 2013

Time: 9:00am PT, 12:00pm ET

Webinar Abstract

Big data has arrived in healthcare, whether organizations are ready for it or not. Increasingly, healthcare provider and payer organizations have access to growing volumes of both structured and unstructured data. New sources, such as electronic health and medical records, doctors’ notations, claims data, clinical data, and external Internet/social media data, are mushrooming in size and importance for access and analysis. Big data holds the potential to give users a more complete and timely view. At all levels, users in healthcare organizations must leverage this data to discover insights for improving patient care, cost management, and operational process improvement.

Big data requires organizations to become more data driven: that is, to use tools and systems that allow users to interact with data in the context of decisions they need to make to meet regulatory requirements and achieve initiatives such as reducing readmissions and personalizing patient care. Technologies and approaches that have been implemented successfully in other industries are also capable of transforming healthcare organizations. These include analytics, search, big data technologies such as Hadoop, and business intelligence and data warehousing technologies.

This TDWI Webinar focuses on how healthcare organizations can develop a strategy for successfully tapping the riches of big data through BI and analytics technologies and practices. It will identify important sources of structured and unstructured data and strategies for deploying the appropriate technologies to gain value from these sources.

You will learn:

  • Challenges and opportunities of big data for healthcare organizations; how to match the right technologies to the right situation
  • How healthcare organizations can implement big data technologies and best practices that have worked successfully in other industries
  • Strategies for meeting user requirements for access, analysis, and visualization of big data

David Stodder

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