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From ambient listening to prior authorizations and advanced diagnostics, healthcare providers are already using artificial intelligence to improve patient outcomes and clinician experiences.But it’s not just clinical workflows that stand to gain from the deluge of new AI solutions. Public health and policy experts have opportunities to leverage AI for a variety of valuable use cases.If approached responsibly, compliantly and strategically, AI can be used in disease surveillance, fighting misinformation, creating personalized treatment plans, fraud detection, cybersecurity and much more.AI can analyze massive, varied data sets — from sources such as electronic health records, demographic data, medical sensors, health journals and even social media — much faster and far more accurately than a team of statisticians ever could.
AI for disease surveillance can also help track emerging threats such as the H5 bird flu, as well as more familiar diseases. Every year, for example, scientists and government agencies rely on disease surveillance to decide which strains of influenza will be most threatening, and this information is used in the development of vaccines. Public health departments in many states are actively engaged in disease surveillance. By introducing AI capabilities, they can vastly improve their ability to track, forecast and hopefully prevent dangerous disease outbreaks and ultimately save lives.
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It seems as if the conversation about how to use artificial intelligence across industries has gone on for several years since the explosive growth of generative AI tools.Walk into any office space, …
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