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Using AI in developing nations that do not have the resources will diminish the need for outsourcing and can improve patient care. AI can allow for not only diagnosis of patient in areas where healthcare is scarce, but also allow for a good patient experience by resourcing files to find the best treatment for a patient. [131]
AI can revolutionize public health surveillance and response by addressing the core challenges in this field. Public health surveillance heavily relies on data to detect health anomalies and ...
Furthermore, AI has the potential to address important health challenges. In healthcare organizations, AI is able to plan and relocate resources. [37] AI is able to match patients with healthcare providers that meet their needs. AI also helps improve the healthcare experience by using an app to identify patients' anxieties.
In addition, health care-related chat bots powered by generative AI are often not regulated at all, in part because many "don't explicitly claim to diagnose or treat conditions," Carson said.
AI in mental health offers several benefits, such as: Improving the accuracy of diagnosis: AI-based systems can analyze data from various sources, such as brain imaging and genetic tests, to identify biomarkers of mental health conditions and improve the accuracy of diagnosis. [16]
Consistent with our trends all year, payer mix remained strong in the fourth quarter of 2024, with same-facility managed care admissions up 9.2% compared to the prior-year quarter.
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