On Wed 8/29/20012 at 8 PM ET / 5 PM PT please join us for a Tweetchat hosted by SPM member Janice McCallum @janicemccallum about Big Data in Healthcare. One good way to participate is to use the website
http://tweetchat.com/room/s4pm
Go to the site at the right time,login with your Twitter user name and enjoy the discussion!
If you want to find out more about Big Data,Janice prepared a few links that will get you started. Below is the outline of the chat:
We’ll kick-off with a definition of Big Data. Definitions vary,but the “3V” definition seems to be most widely used:collections of data with high Volume,Variety of formats,and Velocity. Formats can include structured and non-structured data types.
For background,see
- Jeff Jonas’s explanation of big data on IBM’s Smarter Planet.
- Richard Dale’s A Better Definition of Big Data.
Be sure to read Doug Laney’s comment on Richard’s post &click through to his original post defining 3V - in 2001!
For this #S4PM Tweetchat,we’re focusing on Big Data in healthcare. Here are 4 topics for discussion with a couple of examples from me to kick-off discussion if needed. We can skip T4 if we don’t have time.
T1: What are some current examples of Big Data in context of healthcare?
- Genomics
- Google Flu Trends
T2: What can Big Data do to help transform healthcare?
- Improve access to research information for Clinical purposes (á la IBM Watson)
- Resolve textual/dictated info problem by improving integration of structured &textual data from clinical settings.
T3: Is Healthcare Ready for Big Data?
- We haven’t exactly mastered exchange and analysis of structured data yet.
- Are some segments more ready than others? E.g.,payers.
- How close are we to benefiting from outcomes data generated by EHRs
- How about EHRs/PHRs that record patient-generated outcomes?
T4: What is the biggest obstacle to implementing Big Data solutions in healthcare?
- Access to the data across organizations and across stakeholder groups.
- Privacy concerns.
- Methods for analyzing the data.
