Health Data Migration and Transformation Challenges, Options, and Why You Might Not Want to Migrate

February 15, 5:30pm, EST - 8:00pm, EST

Key Bridge Marriott

1401 Lee Highway

Arlington, Virginia 22209

Meeting Room: View Room (14trh Floor)

Complimentary registration for Government and Students (with a valid student ID)

Early Bird Pricing Ends January 31, 2018

Member - $55

Non-Member - $65

General Pricing Ends February 9, 2018

Member - $60

Non-Member - $70

Late/At-Door Pricing:

Member - $75

Non-Member - $85


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Program Details

Federal health agencies strived to deconstruct their daily mission and business functions into discrete data elements during the early days of databases.  Since then, technical advancements, the arrival of Health Information Technology, syntax and semantics, and the digital revolution have yielded a fantastic range of data collection, sharing, and exploration options. Traditionally, with every improvement in COTS, data standards, and vocabularies, most of us have migrated the “old” data to the “new” data structure, and converted “old” terminology to “new” terminology.  We want to explore what we’ve gained or lost in these migrations in terms of clinical meaning and functionality, and what emerging technical strategies, methods, and tools might allow us to see all data, for all time, as it was originally captured, without compromising the knowledge and power of Big Data.

Questions to be addressed include: 

What risks are incurred during traditional data migration and how are these risks mitigated?

What is the value - or risk - of data transformation at point of care versus in aggregated data analyses?

What investments in data curation and stewardship are needed to manage multiple data structures going forward without migration and transformation?

What techniques and solutions, such as microservices, facilitate an integrated interface of all data structures to end users?

How can the experience and best practices of federal health agencies help non-government health care systems?  And vice-versa?

What platforms are available  to overcome various stakeholders using disparate technologies that can lead to data transfer failures as you move through the analysis, development, testing, and implementation phases?


  • Mr. John Short, VistA Program Executive, Department of Veterans Affairs (VA) (Confirmed)
  • Col John Scott, Data Manager, Defense Health Agency (DHA) (Confirmed)
  • Dr. Jose Galvez, BTRIS Chief, National Institutes of Health (NIH) (Confirmed)
  • Dr. Jon Gleason, Vice President of Clinical Advancement and Patient Safety, Carilion Clinic (Confirmed)


Melissa Chapman, Vice President, Health, Salient CRGT

Additional Materials: 

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