Entries by dvschwab

KLAS: Quadax, SSI Group Earn Top Scores for Claims Management

“In this mature stage of the market, provider organizations’ revenue cycle departments generally perceive functional and accurate editing processes as a commodity,” the report stated. “What then distinguishes vendors in this high-performing market?” Revenue cycle management leaders cited customer service and support as a top factor when identifying high-performing claims management systems and vendors. Interviewed […]

Why Don’t We All Have Twelve Fingers Now?

The other day, someone asked me why humans haven’t evolved extra fingers to make it easier to use our smart phones and other new technology. We spend so much time interacting with this technology that having extra fingers to use for texting, scrolling, and other tasks would be quite useful. Why, then, don’t we have […]

Machines That Can Think Might One Day Do Just That

This past week was a big one in artificial intelligence news: the New York Times reported that Google, Amazon, and other technology leaders are investing heavily in computer programs that may be able to develop new artificial intelligence algorithms without any input from a human programmer. This is partly because highly-talented AI programmers are in […]

Can a Computer Really Build a Better Computer?

Can a computer really be programmed to program itself? Silicon Valley certainly hopes so. What would it look like if they succeed? Automating the “grunt work” of programming is nothing new: code generators have been around since the time of COBOL, and while they have become much more sophisticated, they still work in much the […]

Why the Bell Curve Explains So Much

The main issue with machine learning is over-fitting the model to the data. This is especially true of iterative models, such as decision trees, where each additional parameter necessarily improves the model’s fit with the training data. Ensemble learning models, such as the random forest, guard against over-fitting by estimating hundreds of models, then aggregating […]

The Computer That Predicted the U.S. Would Win in Vietnam

The crucial factors were always the intentions of Hanoi, the will of the Viet Cong, the state of South Vietnamese politics, and the loyalties of the peasants. Not only were we deeply ignorant of these factors, but because they could never be reduced to charts and calculations, no serious effort was made to explore them. […]

The Ethical Minefields of Technology

I whole-heartedly agree with the author that we need to seriously consider the ethical implications of all this new technology, especially when the window in which someone can “opt-out” of adopting it keeps shrinking. Personally, I’m not interested in owning a self-driving car–I actually like the experience of driving–but eventually, I’m not going to have […]

What Statistics Can Learn From Data Science (and Vice Versa)

Since its inception around the turn of the 20th century, researchers have used classical statistics to analyze data sets. In general, the focus has been on analyzing a sample of the data, then generalizing the findings to the entire population. This was born of necessity, as until very recently, the technology hasn’t existed to allow […]

Should We Let the Government Leverage Its Data to Enact Better Policy?

When I was in graduate school, we debated the merits of a centralized data store that policy makers could use to make better decisions; ultimately, we decided the risks to privacy outweighed the benefits. Data collected by (ethical) businesses is de-identified, typically by assigning each case with an arbitrary number. Government data isn’t, although as […]