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Quote by Dr. Barbara Bellar

“So let me get this straight – this is a long sentence. We are going to be gifted with a health care plan that we are forced to purchase, and fined if we don’t, which reportedly covers 10 million more people without adding a single new doctor, but provides for 16,000 new IRS agents, written by a committee whose chairman doesn’t understand it, passed by Congress, that didn’t read it, but exempted themselves from it, and signed by a president who smokes, with funding administered by a treasury chief who didn’t pay his taxes, for which we will be taxed for four years before any benefits take effect, by a government which has bankrupted Social Security and Medicare, all to be overseen by a surgeon general who is obese and financed by a country that is broke. So what the blank could possibly go wrong?”

Quote by Dr. Barbara Bellar

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Dr. Barbara Bellar

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“Given the central place that technology holds in our lives, it is astonishing that technology companies have not put more resources into fixing this global problem. Advanced computer systems and artificial intelligence (AI) could play a much bigger role in shaping diagnosis and prescription. While the up-front costs of using such technology may be sizeable, the long-term benefits to the health-care system need to be factored into value assessments. We believe that AI platforms could improve on the empirical prescription approach. Physicians work long hours under stressful conditions and have to keep up to date on the latest medical research. To make this work more manageable, the health-care system encourages doctors to specialize. However, the vast majority of antibiotics are prescribed either by generalists (e.g., general practitioners or emergency physicians) or by specialists in fields other than infectious disease, largely because of the need to treat infections quickly. An AI system can process far more information than a single human, and, even more important, it can remember everything with perfect accuracy. Such a system could theoretically enable a generalist doctor to be as effective as, or even superior to, a specialist at prescribing. The system would guide doctors and patients to different treatment options, assigning each a probability of success based on real-world data. The physician could then consider which treatment was most appropriate.”