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Applying Downstream Analytics in a Big Data Environment

John McDaniel (NetApp)
Data Liquidity Salon F
Workshop Please note: to attend, your registration must include Workshops on Wednesday.
Average rating: **...
(2.40, 5 ratings)

Learning Objectives:
1. Defining big data and big data types
2. Recognizing big data implications as they relate to patient outcomes
3. Defining the creation of big data issues today and in the future
4. Destination sources for big data
5. Infrastructure required to support big data
6. How the backup paradigm for big data has changed
7. The impact of growing data sets to performance, availability, security, data management
8. Utilizing big data for analytics and tools to improve patient outcomes

Session Abstract:

There is no question that the variety of sources originating big data, the volume of big data and the speed at which we are generating data is growing at unprecedented rates. According to Enterprise Strategy Group, by 2015 the average hospital will manage more than 665TB of data. Some will have more. To top it off, these records often have patient lifetime retention requirements, further compounding the challenge of storage in the healthcare space. For example, PACS (picture archiving and communication systems) applications were cited as the number one reason for healthcare data growth, at 63 percent, followed by files held in the electronic health record (54 percent) and scanned documents such as proof of insurance (51 percent). Medical image archives are increasing by 20-40% annually. The scale of current and predicted growth is breaking all conventional models and will require innovative, flexible solutions. Today data storage is essential for healthcare providers to see a patient’s complete story of care, make the most informed decisions and enhance treatment and outcomes. This session will focus on how businesses can prepare themselves for the current and expected explosive growth. Presenters will set the stage by providing a landscape analysis. This will include an overview of how big data has transformed over time, up to the present. Presenters will provide a research overview of the mindset providers have with big data, including knowledge about it and the challenges they face. Insights into what the current drivers are behind organizations’ data technologies and approaches also will be provided to help better inform CIO investment decisions.

Attendees will learn about the biggest drivers of data, including clinical data, genomics, imaging and EHRs specific to meaningful use. They will hear a detailed discussion about the current environment that organizations face between structured and unstructured data, how this must impact data storage management decisions and planning, as well as how to leverage these different types of data for business performance. Discussion around data velocity will include discussions around using real or near real-time data for predictive modeling, clinical decision support and point-of-care best practices.

This session will offer attendees a variety of new and innovative ways that big data can be an affordable business asset and provide strong ROI. This includes discussion about specific examples of how agile and responsive infrastructure enables real-time analytics and the ability to quickly reconfigure in order to accommodate emerging new technologies. Presenters also will share best practices for applying analytics to transform data into information organizations can leverage to provide better care more efficiently. Attendees will learn about key factors to consider when investing in big data storage, including understanding business needs up front and putting the right technologies in place. Discussion also will include unique considerations around shared infrastructure and key factors for providing continuity of care.

Attendees will leave this session with a better understanding of creative ways they can best leverage the power behind data. They will have tools to give them a more competitive advantage by delivering better customer experiences, making more intelligent decisions faster, among many other business benefits.

John McDaniel


John McDaniel has more than 35 years of experience as a healthcare CIO, consulting services executive and as an executive with large healthcare companies. John currently works with NetApp and is responsible for managing partnerships with large healthcare GSIs. As a CIO, John worked with St. Vincent Catholic Medical Center, McLaren Health Care Corporation and The Emory Clinic where he also served as Director of Medical Informatics. John was also a member of the Board of Directors for NYC-based HIE: NYCLIX. As a consulting services executive he worked with Dell Services, Deloitte Consulting and EMR Transitions. John worked with Siemens as Project Director and SVP at, McKesson.
Additionally John worked closely with Cerner where he led the partnership to develop the first multi-hospital CDR. John is very familiar with strategic and business issues facing the healthcare industry and also the applications and infrastructure required to meet MU and provider expectations. While at McLaren his team was the first healthcare organization to take medical records paperless in a multi-hospital system. He is frequent speaker at National and Regional healthcare conferences.

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