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In the mid-20th century, scientists and social theorists began to worry about the problem of overpopulation and predicted an era of mass starvation.
Stanford University’s Paul Ehrlich famously wrote in his 1968 book The Population Bomb that “the battle to feed all humanity is over…despite the emergency plans now being undertaken, He predicted that billions of people would starve to death.
At the time, his pessimistic thoughts were not isolated. At the same time, Norman Borlaug pioneered wheat production with research in genetics that promoted new ways to grow crops. His “Green Revolution,” for which he won his 1970 Nobel Peace Prize, is credited with saving more than a billion lives.
Innovation, the tried-and-true wire cutter, has defused the population growth bomb. The same goes for the Biden administration’s pessimistic regulatory obsession with artificial intelligence aimed at replicating these past mistakes.
Experts say AI development will “explode” in 2024
Much has been written about innovations in the life sciences, such as new gene therapies abolishing the death penalty and medical devices turning hospital surgeries into outpatient surgeries. However, little attention has been paid to the lack of innovation in healthcare delivery itself.
AI offers our country the potential to put healthcare back in the hands of patients.
Analysis by Bureau of Labor Statistics Private community hospitals have demonstrated negative labor productivity growth over the past two decades, with productivity declining by 5.6% in 2020. In addition to suffering from the evils of monopoly, medicine also suffers from a lack of critical genes that are central to medicine. Life sciences industry: innovation.
Despite the atmosphere of fear-mongering in Washington, AI offers an opportunity to innovate in service delivery. Since many doctors spend 87% of their day hunched over a keyboard, AI can act as a stenographer, creating clinical notes and allowing doctors to focus on the patient at hand. Masu.
Automation of routine tasks is one of several potential innovations for patients. Clinical care requires instant, real-time decision-making, and AI-driven technologies, similar to lane departure and radar cruise control in cars, enable safer and more effective care.
What is artificial intelligence (AI)?
Automating clinical care can also expand access while improving quality, benefiting the poorest Americans the most. The United States cannot train doctors and nurses fast enough to meet our needs. Improving the skills of clinicians and transforming the way they work is critical to the healthcare delivery system of the 21st century. AI is already being used to read brain waves, digital cytology, and diagnose diabetic retinopathy.
Despite the technology’s real promise, Washington is focused on top-down regulation, with many calling for the creation of a new independent agency to oversee artificial intelligence and digital platforms. However, artificial intelligence is a platform technology, not a policy-making principle. Flexible performance-based oversight instituted through problem-specific agencies or, in the case of healthcare, the FDA, provides a more realistic approach.
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Such performance-driven policies do not require transparency or direct and continuous consumer control towards consumers. The occupants of the car do not decide whether they want airbag support until the moment of impact.
Similarly, patients and physicians can use AI-driven technologies in a variety of settings, such as integrated insulin pumps and blood glucose monitors or clinical decision support software that recommends ventilator adjustments for intubated patients in the operating room. You need to know that it works as expected.
However, the Biden administration’s recent 804 pages of medical technology regulations undermines this objective and instead focuses too much on the transparency of algorithms and AI in healthcare, which avoids performance. Transparency is important, but this rule is fundamentally nonsensical, imposing administrative burdens on those who would benefit most from AI, and ultimately discouraging the use of innovative AI-powered products. It will be suppressed.
Surgeons never stop performing surgery to read the evidence underlying AI-based technology and clinical decision support. With more than 1 million new medical articles published each year, doctors and patients don’t have time to read government-mandated research summaries.
Patients and physicians should instead rely on product performance as a policy goal. An independent network of technical standards development organizations and testing laboratories, along with the FDA’s easy oversight environment, can support AI applications in medical technology. Flexible guidance regarding the representativeness of training datasets and populations, combined with testing parameters for different clinical situations, can ensure that technology development remains actively decentralized and disruptive.
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AI offers our country the potential to put healthcare back in the hands of patients. From increasing face-to-face time with doctors, to automatically diagnosing and treating basic health conditions, to supporting medication adherence and health behavior change, AI has the potential to provide access to high-quality care at a lower cost. There is great potential.
At a time of deep political division, Americans continue to be united in their dissatisfaction with the health care system. The story of Norman Borlaug is a timely reminder that technology-driven innovation, not Washington’s pessimism, must be at the heart of the collapse of our health care system.
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