18 years ago Brazil welcomed the country’s first generic drug registration. According to the National Agency for Sanitary Vigilance Agency (Anvisa), prescription of generic drugs increased 65% from 2015 to 2018. Between February of last year and February of this year, 34% of the 115 million medical prescriptions issued were generic versions.
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Artificial intelligence tools and inexpensive diagnostic software could soon become as essential to physicians as the stethoscope was in the past. AI can be sliced and diced many different ways and will change the role of physicians in the future.
In addition to altering the function of physicians, two AI approaches currently available, natural-language processing and real-time machine learning, could radically improve physician performance.
“Natural-language processing” helps computers understand and interpret human speech and writing. The software allows computers to review thousands electronic medical records and illuminate the best steps to evaluate and manage patients with multiple illnesses.
The second approach, “Real-time machine learning”, involves using computers to watch and learn from doctors at work. These computers record and analyze how the best physicians achieve superior outcomes.
One of the biggest barriers of AI use in medicine is a culture that often values doctor intuition over evidence-based solutions. While the timing may be unclear, AI will disrupt healthcare landscape.
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