Oracle Corporation

Redwood City,  CA 
United States
  • Booth: 3349, MP46, MP47, MP57

Oracle Corporation, a leading strategic software and hardware solutions provider, offers world-class business applications, analytics, technology and hardware offerings that support provider and payer organizations and enable information exchange, business and clinical intelligence, disease management, relationship management and operational best practices to improve quality of care while lowering costs. For more information contact or +1.800.ORACLE1.

 Show Specials

  • Join us on  Wednesday February 22, 11,15am Room 203B for a panel discussion on "Demystifying Big Data & Machine Learning for Precision Medicine & Population Health"

    This lunch and learn session will explore emerging ways to develop a 360 degrees’ view of the patient to improve their engagement and outcomes for both the individual and populations. Our panel of industry thought leaders will include discussions on:

    • Separating the hype from the reality
    • The big and small steps healthcare providers and health systems can take to leverage big data and machine learning for precision medicine, patient wellness, and population health
    • How big data & machine learning can be woven into existing business intelligence and analytics efforts
    • Discussing best practices - how to define & measure success.

    Register to attend

  • On Tuesday Feb 21, the Triple AIM IQ Solution will be available for demonstration at the Deloitte booth (#2023).  The solution will also be presented at the Oracle booth (#3349) on the show floor every day from 1:00pm – 2:00pm.  

    Deloitte’s solution is built upon Oracle’s cross-pillar solutions for Health Care and was developed to improve the simultaneous pursuit of:

    • Improved experience of care
    • Improved population health
    • Reduced per capital costs

    To learn more about MACRA, the goal of the Triple AIM and Deloitte’s solution in this space, please visit us at the Deloitte booth, the Oracle booth or get in touch with us.

  • Join KPMG and Oracle on Tuesday, February 21 at 4:30 p.m. for drinks and a bite to eat at the end of the day.

    Connect with colleagues, industry thought leaders and new and old friends alike at this invitation-only reception held in the KPMG booth #4751.

  • Join Oracle and Deloitte on Monday February 20, between 4:30 p.m. and 6:00 p.m. for happy hour drinks and a bite to eat at the Oracle booth #3349 at the end of the first day of HIMSS.

    As we celebrate this exciting time in healthcare, unwind with your peers, make new connections and enjoy lively conversation with industry thought leaders.

  • Join us on the Oracle Booth #3349 on Monday February 20, 2017 from 2pm – 3pm and meet with the co-authors of the book “Demystifying Big Data and Machine Learning for Healthcare”.

    Dr. John Frenzel, CMIO, MD Anderson Cancer Center, Prashant Natarajan, Product Director, Oracle HSGBU, and Herb Smaltz President & CEO, CIO Consult will be signing complimentary copies of their new book on the Oracle booth during HIMSS17.

    About the Book
    The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, this book proposes a new approach to creating a knowledge-driven learning organization, based on new and existing strategies, methods and technologies.

    This book will investigate how hospitals and health systems can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. Finally, this book will address challenges and provide pragmatic recommendations on how to deal with them.

    Oracle customers such as MD Anderson Cancer Center, Penn Medicine, Ascension Health and Baycare Health System have contributed to the book and provided case studies based on their own challenges and success.


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