AI transforms the provision of health care
Artificial intelligence is no longer a future disruptor – it already transforms health care. From diagnoses assisted by AI to predictive analysis and virtual surgical planning, health care AI reshapes how care is provided, how clinical resources are managed and how patients engage with the system.
Captain (Ret.) Hassan Tetteh, MD
During a recent book discussion at the Army Navy Country Club in Arlington, Virginia, Captain of the Retired US Navy and Thoracic Surgeon Dr Hassan Tetteh explored these themes through the objective of his new book, Smarter health care with AI: exploit military medicine to revolutionize health care for everyone, everywhere. Interview by Colonel (Ret.) Dr. Caesar Junker, To train Presidential Flight Surgeon, Tetteh Outlined A Pragmatic Vision for Integrating Ai Into Healthcare, Informed by Military Deployments, Academic Medicine, and His Leadership at the Department of Defense’s Joint Artificial Intelligence Center (Now tea Main office of digital and artificial intelligence).
Real world results from health AI
“I don’t think it’s a hyperbole,” said Tetteh. “The AI will fundamentally change health care in the coming years. She has already done so in many ways. ” He underlines the real world results: the AI command center of Johns Hopkins has increased the capacity of the 60% complex cases of cancer and reduced the boarding time of the 25% emergency rooms. A rural hospital in Michigan experienced a 56% drop in heart and respiratory arrests after the implementation of an AI early alert system.
Structural obstacles of health
Despite the promise, systemic challenges remain. “As a doctor, I think health care has failed people in several ways,” said Junker. “Science is there, but the supplier’s step to the patient has been ignored.”
Dr. Tetteh Smarter Healthcare’s book with AI
Tetteh accepted, pointing to the fragmented nature of the system. “Health care is very amorphous,” he said. “Everyone has different incentives, such as insurance companies, hospitals, large pharmacies, suppliers, patients. Patient incentives rarely align with it. ” Even proven technologies are struggling to gain ground. To overcome this, Tetteh highlights three critical success factors: validation, scalability and saleability. Without all three, even the most promising health technologies are unlikely to achieve generalized adoption.
A national security imperative
Resistance to AI in health care recalls the 18th century scorbet. The British navy knew that the citrus fruits prevented the disease, but millions of people died before healing was adopted. When adopted, it didn’t just save lives – it improved operational preparation. Tetteh argues that AI represents a similar inflection point for today’s health care and national security. “When soldiers cannot deploy due to health problems, the training effect has an impact on the defense capacities of our soldiers,” he wrote. “The DOD spends about $ 3 billion a year on non -deployable army personnel alone.”
Health care for the fighter – and the civilian
Of the medicine of ships on the USS Carl Vinson For trauma care in Afghanistan, Tetteh has seen in the first hand how limited environments require evolving and data -based tools. The Defense Advanced Research Projects Agency launched a Sorting challengeWith a mission to bring AI to the Warfighter. An application: AI based on smartphone which can predict internal bleeding using vital signs collected in the field. “The best technology can already exist,” he said. “We just need a way to integrate it.”
Scaling clinical capacity with health care AI
Tetteh considers AI as the key to widening clinical capacity without setting up staff. “Doctors will not be replaced,” he said. “But doctors who do not use AI will be.” The World Bank projects a deficit of 15 million health workers By 2030, on the basis of WHO data. Without AI, the global health system can find it difficult to fill the gap.
He envisages a quasi-future health care model where biometric sensors collect health data, AI models interpret the results and processing is sent, all without clinical visit. “We have experienced a pandemic that has fundamentally changed the expectations of people’s care,” he said, noting the acceptance of virtual visits, care via cat and other online care. “Who returns to the old model?”
Prudent and emergency optimism
Tetteh is optimistic but realistic. It recognizes the risks of data quality, algorithmic biases and regulatory complexity. However, he is confident in the trajectory. “The AI you use today will be the worst IA that you will ever use in your life,” he said. The pace of innovation will only accelerate.
His thinking thought is pragmatic and centered on man: “AI will change everything – with the exception of things that matter most.” The objective is not to replace clinicians, but to equip them to make smarter, faster and more personalized decisions. As with citrus fruits in the era of sailing, the challenge is not to discover what works – it deploys an AI of large -scale health care, with intention.
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