Excellent article on using data to provide an unusual window into healthcare, and how to improve it.
“Besides looking at assault patterns, he began studying patterns in the way patients flowed into and out of Camden’s hospitals. “I’d just sit there and play with the data for hours,” he says, and the more he played the more he found. For instance, he ran the data on the locations where ambulances picked up patients with fall injuries, and discovered that a single building in central Camden sent more people to the hospital with serious falls—fifty-seven elderly in two years—than any other in the city, resulting in almost three million dollars in health-care bills. “It was just this amazing window into the health-care delivery system,” he says.”
Good article by Tim O’Reilly, et al. Broad coverage of healthcare issues and opportunities with data science.
“How is data science transforming health care? There are many ways in which health care is changing, and needs to change. We’re focusing on one particular issue: the problem Wanamaker described when talking about his advertising. How do you make sure you’re spending money effectively? Is it possible to know what will work in advance?”
This is an excellent article. Calls out the different thinking and actions required for analytics success. Despite the title, this is not an IT bashing article.
“In their quest to extract insights from the massive amounts of data now available from internal and external sources, many companies are spending heavily on IT tools and hiring data scientists. Yet most are struggling to achieve a worthwhile return. That’s because they treat their big data and analytics projects the same way they treat all IT projects, not realizing that the two are completely different animals”.
“We’re on the tail end of technology being special,” says John Maeda, president of the Rhode Island School of Design. “The automobile was a weird alien technology when it first debuted, then, after a while, it evolved and designers stepped in to add value to it.”
…“We have this exciting next step for design,” he said. “Now that we have enough technology to do anything, design can now begin to be better than the technology itself.”
“Easing into the New Year, one big hope we have for 2013 is that women continue to bridge the gender gap in terms of pay equality and access to leadership positions. So much of the news was good last year: women were better educated than ever, we continued to claim coveted CEO roles at companies such as IBM and Yahoo, and one study even reported that women were the primary breadwinners in a majority of households in the US. That sounds like progress.
Yet, in order to clear a path for greater advancement and parity in 2013, we need to address the difficult paradoxes that women leaders continue to face — these are the mixed messages and uncomfortable realities that complicate an arguably positive picture of progress.”
““A lot of times, I feel like an explorer,” says Jack Levis, UPS’s director of process management. “Often I’m telling the company: Just because we’ve done it this way for the past 50 years doesn’t mean it’s right.”
Levis, who manages a team of mathematicians who build the algorithms that help UPS shave millions of miles off delivery routes, is paid to tell the company things it may not want to hear. One of his major projects in the last decade has been rolling out a system called ORION (On-Road Integrated Optimization and Navigation), a kind of algorithmic overmind that knows better than any human how drivers ought to plan their routes.”