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HIMSS experts urge attention to ethics concerns as AI options emerge
While there's a real opportunity for AI to continue to improve the healthcare experience, experts note there’s also a need to protect what needs to be human, while only automating those things that don't need the human touch.
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Healthcare privacy regs under pressure from new AI
Studies show how AI can facilitate data breaches at the same time as the costs of data breaches continue to mount for healthcare institutions.
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Vanderbilt U rolls out AI voice assistant for EHRs
While the current generation of voice assistants deals with structured information, stakeholders say the next level of summarizing free-text content is going to be game-changing.
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Workforce training key to AI success in healthcare
As the role of AI increases, the report said, academic institutions will need to offer expanded course offerings in hardcore technical fields like computer, data and cognitive science.
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As with other health IT, AI requires effective cybersecurity systems
When it comes to evaluating artificial intelligence (AI) solutions for a health system, cybersecurity may not be the top consideration, but according to security experts it needs to be pretty close.
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How AI can help doctors and patients have better conversations
How long might it be before speech recognition, machine learning, and other developments in AI will offer insights into what happens between clinicians and patients?
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Is the AI buzz too loud?
There is a plethora of application areas where AI-based systems can help healthcare, says one developer, but only if the technologies are leveraged with care and policymakers keep up with effective regulation.
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Study: sound regulation needed for AI-assisted clinical diagnosis
In theory, AI systems scan patient data and deliver faster, more accurate diagnoses than can be achieved currently, but stakeholders say new policy guidelines are needed to ensure patient safety.
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CEO: learning where to use AI is as important as learning how
The key to successful use of AI, says one leader, is corporate responsibility and education in how AI should be used, its capabilities and its limitations.