Health care is in danger of missing the point. (A repost from 2014 that’s relevant today thanks to announcements at HIMSS.) In 1999, when I was the editor of USNews.com, the dot-com boom was in full swing. Money seemed to be gushing out of the Bay Area and some sharpies at U.S.News saw an opportunity […]
big data
Recognizing the value of data
In 1999, when I was the editor of USNews.com, the dot-com boom was in full swing. Money seemed to be gushing out of the Bay Area and some sharpies at USNews saw an opportunity to cash in. They proposed slicing out the most marketable piece of the website — the education franchise — and selling […]
Big (really big) data comes to health care
In December 2013, Kira Peikoff wrote about how, when she had her DNA tested by three direct-to-consumer companies, the results were all over the place. She interviewed experts to get their advice: J. Craig Venter, chief executive of his namesake institute and of Synthetic Genomics, was a pioneer in sequencing the human genome in 2000. Though […]
Big data, red flags, better health?
A new interview with Stephen Wolfram on “why he thinks your life should be measured, analyzed, and improved” popped up on the same day that American Medical News ran a story advising clinicians to look for “red flags” like unfilled prescriptions and delayed screenings since it may mean the patient has lost their job or […]
Thinking critically about Big Data and health care
If the health geek tribe had its own “Most Viewed” ranking on the New York Times site today, “Big Data is Great. But So Is Intuition” by Steve Lohr would be near the top. Everyone I respect (who’s awake, reading, and sharing) is tweeting about it. Lohr writes: Big Data proponents point to the Internet […]
Watson: a love story
Before you read this post, think of a time when you had a crush on someone. Think about that swirl of emotions, the highs and the lows. That’s where I was a couple weeks ago, except it wasn’t about a person. I fell hard for Watson, IBM’s hot new outboard brain. I’d heard he was […]
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