Topic One: Is Meaningful Use enabling big data in health care? Why or Why Not? #bigdata
T1: If you cannot measure it, you cannot improve it. – Lord Kelvin #HITsm You cannot measure without data.
— Peter Gilbert (@PeterNGilbert) October 26, 2012
T1: MU is at least sustaining the dialogue about structured data & that means a lot for overcoming the coding barrier btwn orgs #hitsm
— Robert Green (@HealthcareNovel) October 26, 2012
T1: MU is a BIG change in getting data from paper into electronic form. First big step to enable as @loranstefani pointed out. #HITsm
— Jon Mertz (@jonmertz) October 26, 2012
T1: I read a tweet from #chealth12 that nothing in health IT was big data.Genetics was big data. So, depends how you define it. #HITsm
— EMR, EHR and HIT(@ehrandhit) October 26, 2012
Topic Two: Will payment reform make data sharing a strategic imperative? Why or Why Not?
T2: It will become strategic imperative for any1 participating in incentivized care programs – payers, providers, patients, everyone! #HITsm
— Jennifer Dennard (@SmyrnaGirl) October 26, 2012
T2: “Good intentions” aren’t enough. “Doing the right thing” isn’t enough. Incentives matter. #HITsm
— Gautam Jaggi (@GautamJaggi) October 26, 2012
T2; Payment reform & data sharing are both strategic imperatives in healthcare; accountability is here to stay. #hitsm
— Robert Green (@HealthcareNovel) October 26, 2012
#HITSM T2 – providers & hospitals s wr key stakeholder in #health IT; now payers – govt, big employers; future – patients will drive #HIE
— Sherry Reynolds (@Cascadia) October 26, 2012
T3: What are the most underutilized sources of data in health care? #bigdata
T3: public “structured” datasets that give better value to the discrepancies in #bigdata #hitsm
— Tony Curcio (@Tony_Curcio) October 26, 2012
T3: the input method. So much important detail is lost due to time constraints/ cost of inputting data. #HITsm
— Stephen Jones MRIs (@StephenMRIs) October 26, 2012
T3: Patients are the most underutilized data resource in healthcare. #HITsm
— Keith W. Boone (@motorcycle_guy) October 26, 2012
T3: Vendors need to track “stragglers” on the problem list, according to physicians. #HITsm
— Joan(@inthenow22) October 26, 2012
Topic Four: What data might be used for evidence-generated medicine?
T4: Do public health depts typically share data with private practitioners? Seems like a good data relationship in the making #HITsm
— Jennifer Dennard (@SmyrnaGirl) October 26, 2012
T4: #BigData (EHRs + much more) will move HC away from slow hypothesis testing to real-time learning. #HITsm
— Gautam Jaggi (@GautamJaggi) October 26, 2012
T4: data from medical devices and accurate clinical data needs to end up in one place for translational research#HITSM
— Mark James (@cardiologyHIT) October 26, 2012
T4: Evidence-generated medicine probably needs to include more than the “health” data. Network, behavior, etc. #HITsm
— Ryan Lucas (@dz45tr) October 26, 2012
T4: The potential of speed and accuracy of data comparison could be invaluable if some sort of virus outbreak or any other disease #HITsm
— Stephen Jones MRIs (@StephenMRIs) October 26, 2012