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Believe it or not, there was a time in America when in almost every state health insurance companies and hospitals were required to be nonprofits. Back then, Americans could actually get the health care and treatment they needed at affordable prices.
But then Ronald Reagan came to Washington, and you guessed it, everything changed.
For the fifth time in a row, the U.S. has been ranked last in the Commonwealth Fund's annual review of health care in developed nations.
Slowly but surely, corporations and the wealthy elite took over our health care system, and have left us with a health care nightmare.
An April Gallup study found that as many as 9.9 million Americans have gotten new health insurance under Obamacare, and more than 4 percent of Americans have gotten health insurance for the first time in their lives.
In fact, every country the Commonwealth Fund looked at has universal health care, except the U.S.
Health Care: Let's Have People Over Profits Once and for All
In a bid to make healthcare cheaper and faster, hospitals are turning to algorithmic systems for diagnosing patients. But the national nurses' union says that robots-meet-super-WebMD are no replacement for a real doctor. Algorithms that can analyze symptoms and spit out a diagnosis favor efficiency over proper care, according to a recent campaign by National Nurses United (NNU). The union claims that automated diagnosis systems lack the individualized care a nurse can provide and mainly allow private hospitals to boost their bottom line.
Healthcare professionals have worked for years to develop diagnostic algorithms—including early methods like Apache III and SAPS III, as well are more more advanced clinical decision support systems—which are used to help determine how patients are treated.
What this technology does is generate profits for healthcare corporations because they standardize based on this model of care that’s based on the factory floor. You treat everybody like a Model T Ford,” Deborah Burger, a registered nurse and co-president of NNU, told me over the phone.
Some, like Harvard economist David Cutler, have argued that information technologies will eventually make healthcare more like Walmart. Decision-making algorithms would streamline the provision of care, he argues, and ultimately make it as impersonal, efficient, and cost effective as the retail market. This may one day be true, but efficiency often comes at a human cost, as well as a monetary one.
A 2010 study on methods of diagnosing urinary tract infections, published in Deutsches Ärzteblatt International, found that algorithmic diagnoses using a clinical dataset alone had an error rate of approximately thirty-three percent. A wrong diagnosis could have serious consequences if, for example, a patient is moved from the ICU when they really needed to be there. Ignoring a patient’s medical history when making important decisions could very well lead to such a situation, Burger argued.
Unless we take Wall Street's skin out of the game, health care in America will never work for everyone.
It's time to put people over profits once and for all, and require hospitals and health insurance companies to once again become nonprofits.
originally posted by: CloudsTasteMetallic
Source - Algorithmic MDs Will Ruin Healthcare, Nurses Say
In a bid to make healthcare cheaper and faster, hospitals are turning to algorithmic systems for diagnosing patients. But the national nurses' union says that robots-meet-super-WebMD are no replacement for a real doctor. Algorithms that can analyze symptoms and spit out a diagnosis favor efficiency over proper care, according to a recent campaign by National Nurses United (NNU). The union claims that automated diagnosis systems lack the individualized care a nurse can provide and mainly allow private hospitals to boost their bottom line.
Healthcare professionals have worked for years to develop diagnostic algorithms—including early methods like Apache III and SAPS III, as well are more more advanced clinical decision support systems—which are used to help determine how patients are treated.
What this technology does is generate profits for healthcare corporations because they standardize based on this model of care that’s based on the factory floor. You treat everybody like a Model T Ford,” Deborah Burger, a registered nurse and co-president of NNU, told me over the phone.
Some, like Harvard economist David Cutler, have argued that information technologies will eventually make healthcare more like Walmart. Decision-making algorithms would streamline the provision of care, he argues, and ultimately make it as impersonal, efficient, and cost effective as the retail market. This may one day be true, but efficiency often comes at a human cost, as well as a monetary one.
A 2010 study on methods of diagnosing urinary tract infections, published in Deutsches Ärzteblatt International, found that algorithmic diagnoses using a clinical dataset alone had an error rate of approximately thirty-three percent. A wrong diagnosis could have serious consequences if, for example, a patient is moved from the ICU when they really needed to be there. Ignoring a patient’s medical history when making important decisions could very well lead to such a situation, Burger argued.