Topic One: @janicemccallum defines #BigData broadly as: “Advanced analytics for complex problem solving.” Do you agree?
T1: In order to achieve “advanced analytics for complex problem solving”, must move #bigdata out of siloed digital filing cabinets #hitsm
— CLOUDHealth (@CLOUDHealth) February 15, 2013
T1: I think #CTML could make analytics of #BigDataless complex – @cloudhealth do I have that right? #hitsm — Kitterman Marketing (@KittermanMG) February 15, 2013
T1: Curious. If the first 3 Vs are too “big” does it dilute the 4th V of value or veracity? #HITsm
— Jon Mertz (@jonmertz) February 15, 2013
Topic Two: Is the current base of evidence strong enough to support #BigData models? What additional data sources do we need?
T2: streams, audio, new capture abilities w/ defined reportable structures? Too much 2 ask??#HITsm — Linda Lia (@EMRAnswers) February 15, 2013
Priority #1 – collect as much data as possible. #2 – bring into analytics platform #3 – try to ask the right questions #HITsm
— TigerText (@TigerTextApp) February 15, 2013
T2: One problem in current medical research is disjointed studies w/ too little collaboration at dataset level, yes?#hitsm — Janice McCallum (@janicemccallum) February 15, 2013
Topic Three: IBM Watson was recently deployed at Memorial Sloan-Kettering for CDS. Will IBM dominate healthcare #BigData?
T3: Watson deals with one kind of #BigData, low velocity research that can be indexed.Other #BigData is much more dynamic. #HITsm
— Keith W. Boone (@motorcycle_guy) February 15, 2013
MT @motorcycle_guy: T3: Watson deals with low velocity research that can be indexed. Other #BigData much more dynamic. #HITsm — Brian Eastwood (@Brian_Eastwood) February 15, 2013
Topic Four: What will help advance & what will delay the use of #BigData models in healthcare?
T4: Evidence based medicine is mostly based on “small data” thinking- we need to get comfortable with big data bit.ly/XyXVIP #hitsm
— M*Modal(@MModal) February 15, 2013
T4: #Bigdata will not be unleashed until data on the Internet stops mimicing data in filing cabinets.#hitsm
— CLOUDHealth (@CLOUDHealth) February 15, 2013
T4: interoperable standards and actual usable, actionable data & data management are the ones that come 2mind #HITsm
— Linda Lia (@EMRAnswers) February 15, 2013
Topic Five: Is the current hype surrounding #BigData good or bad for the future of evidence-based medicine?
T5: If #BigData is driving evidence-based medicine, then it is a good thing. Conversations required and a driver helps. #HITsm
— Jon Mertz (@jonmertz) February 15, 2013
T5: EBM is mostly derived from “small data” studies- thousands of cases.Big data lets us look at millions or billions of cases. #hitsm
— M*Modal(@MModal) February 15, 2013
T5: Current hype around #BigData is bad for #EBM as we do it now, but good for how we do it in the future. #HITsm
— Keith W. Boone (@motorcycle_guy) February 15, 2013