"data analytics" entries
Predixion service could signal a trend for smaller health facilities.
Analytics are expensive and labor intensive; we need them to be routine and ubiquitous. I complained earlier this year that analytics are hard for health care providers to muster because there’s a shortage of analysts and because every data-driven decision takes huge expertise.
Currently, only major health care institutions such as Geisinger, the Mayo Clinic, and Kaiser Permanente incorporate analytics into day-to-day decisions. Research facilities employ analytics teams for clinical research, but perhaps not so much for day-to-day operations. Large health care providers can afford departments of analysts, but most facilities — including those forming accountable care organizations — cannot.
Imagine that you are running a large hospital and are awake nights worrying about the Medicare penalty for readmitting patients within 30 days of their discharge. Now imagine you have access to analytics that can identify about 40 measures that combine to predict a readmission, and a convenient interface is available to tell clinicians in a simple way which patients are most at risk of readmission. Better still, the interface suggests specific interventions to reduce readmissions risk: giving the patient a 30-day supply of medication, arranging transportation to rehab appointments, etc. Read more…
How generating conversations can become one of the most important data assets for any organization.
At O’Reilly Research, we focus our attention on trends in technology adoption — which tools are adopted and in which industries. In doing so, we uncover interesting cross-disciplinary opportunities and discover what we can learn from innovations in other fields.
We’ve recently learned about the increasing role of data in the fashion industry, so we set out to uncover some of the players who are making disruptive changes using technology and analytics.
Our team asked Liza Kindred, founder of Third Wave Fashion, and Julie Steele, coauthor of Beautiful Visualization and Designing Data Visualizations, to take a closer look at these developments in their new report, “Fashioning Data: How fashion industry leaders innovate with data and what you can learn from what they know.” We think you’ll find some surprising applications of data and analytics in the fashion industry — applications that are useful regardless of the industry or organization you work within. And, we know we’re just at the beginning of what is likely a growing trend. Read more…
Michael Flowers explains why applying data science to regulatory data is necessary to use city resources better.
A predictive data analytics team in the Mayor's Office of New York City has been quietly using data science to find patterns in regulatory data that can then be applied to law enforcement, public safety, public health and better allocation of taxpayer resources.