Not exact matches
«The sharing
of data by
big US insurers is part
of their attempts to better manage utilisation, health behaviour and
outcomes of the insured,» he said.
Meet Omada Health: With 87M consumers at risk
of diabetes, 75,000 patients treated, 3 years
of outcomes data, NetPromoter scores in the 90's, 70 + clients, and looming reimbursement by Medicare for its diabetes prevention online social network, Omada has «cracked the code» on integrating consumer technology, medical coaching and
big data at scale.
«With all the fervor around the potential for
big data, it's critical to keep in mind the substantial differences across databases in content, coding systems and practices, duration
of available medical history and follow - up time, quality
of outcome information, and clinical practice patterns.»
«The application
of big data methods to target soldiers at high risk
of rare but important
outcomes like suicide is an exciting development because it gives us a way forward in focusing prevention efforts on an ongoing basis,» said Robert Ursano, chairman
of the Psychiatry Department at the Uniformed Services University
of the Health Sciences and an Army STARRS Principal Investigator.
Building on the successful
outcomes of their multi-year history, these leading cancer research organizations will inspire new collaborators; improve diagnosis
of pancreatic cancer using
big data; develop new treatments for pancreatic cancer; and support the next generation
of pancreatic cancer investigators.
She serves as a patient representative
of the Patient Engagement Advisory Panel for the Patient Centered
Outcomes Research Institute (PCORI) and sits on both the Executive and Steering committees
of PCORnet, a national patient - centered
big -
data project.
The Machine Learning system offers a comprehensive overview
of Big Data and uses it to predict the
outcome.
In one
of the most comprehensive reviews
of school
outcome data ever conducted, Hattie and colleagues (2008) showed that what teachers do in the classroom every day makes the
biggest difference in student learning (Hattie, 2008).
In essence,
big data can help you tell the story
of the
outcome of your eLearning efforts long before learners act.
They could take a
big -
data approach, combining information from a number
of different sources — graduation rates, discipline
outcomes, demographic information, teacher - created assessments and, eventually, workforce
outcomes.
I'm doing a lot
of work regarding
Big Data — and one of the more interesting outcomes is that I notice just how poorly «research center» types tend to handle disparate data sour
Data — and one
of the more interesting
outcomes is that I notice just how poorly «research center» types tend to handle disparate
data sour
data sources.
The legal industry sits atop one commentator's list
of industries that need
big data — and need to understand it.6 Law firms and attorneys are sitting on a gold mine
of BI
data and past case
data that can guide decision - making, boost case
outcome successes, increase profitability and inform pricing structures, and more efficiently distribute their human capital.
Although they did not use current terms
of art, they were in fact referring to cutting edge technology called «
Big Data,» which is an algorithmic process of collecting and analyzing massive data sets for the purpose of discovering associations, spotting trends, and predicting outco
Data,» which is an algorithmic process
of collecting and analyzing massive
data sets for the purpose of discovering associations, spotting trends, and predicting outco
data sets for the purpose
of discovering associations, spotting trends, and predicting
outcomes.
I have called a tie between Nickey Johnson's submission regarding prosecutorial discretion and its potential for abuse and Stefon Lyons and Arely Lopez's team submission regarding the use
of Big Data to predict legal
outcomes.
Law firms have not invested enough in terms
of time and money to identify, curate and systemize their knowledge and
big data and to development
of systems that lead to consistent and predictable
outcomes for clients.
A tiny, tiny number
of general counsel in
big corporate organisations are doing amazing work with
big data and
outcomes and all the other things required to tie down slippery concepts like «quality» and «value», but they are the exception, not the rule, and, meanwhile, the headlong pursuit
of process poses a systemic risk to Law itself.
LexPredict is a US based legal research, analytics and
Big Data company that undertakes various projects such as FantasyScotus, a fantasy league that predicts the outcome of SCOTUS decisions using human experts and algorithms that forecast cases using d
Data company that undertakes various projects such as FantasyScotus, a fantasy league that predicts the
outcome of SCOTUS decisions using human experts and algorithms that forecast cases using
datadata.
«Whenever policymakers conduct a policy review
of a rapidly evolving new development like
Big Data, we fear that a rush to develop new policies could stifle innovative
outcomes and threaten broad public benefits,» David LeDuc, senior director for public policy at the Software & Information Industry Association, told the E-Commerce...