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Implementation best practices: Dealing with the complexity of AI

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Artificial intelligence is just as complex as it sounds. Successful deployment of the various technologies that are necessary for AI to work requires planning and strategy.. To help chief information officers and other IT professionals better understand these best practices for implementing AI at their health systems, hospitals, group practices and other provider organizations, we spoke with four experts in AI technologies who offered their advice for effective rollouts. Know and understand artificial intelligence use-cases and successes from various vendors, advised Ryan Pretnik, research strategy director at KLAS Research. "Most healthcare providers should look to find and understand use-cases in the industry and how their peers have adopted AI technology," he said. "This is a good first step, since there are many AI companies in the market that claim they can help healthcare organizations with AI. Being able to understand use-cases and their successes in the healthcare market, while consulting with clinicians internally on the use-cases, typically helps drive healthcare organizations in the right direction."


Artificial Intelligence is Delivering Real-Word Results in Healthcare Right Now

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What: Artificial Intelligence (AI) is moving from hype to real-world results in healthcare today. Wolters Kluwer Health prepared the following table to illustrate key trends and offer industry insights on where AI is already making an impact to improve healthcare--with patients and behind the scenes in hospital departments. Who: Diana Nole, CEO at Wolters Kluwer Health, will be exploring these hot AI trends in healthcare technology at this years' World Medical Innovation Forum. She can discuss ways AI is already tangibly helping to improve patient care and to reduce variability in the quality of care. Where: "Smart EHRs: AI for All" Panel at 2018 World Medical Innovation Forum hosted by Partners HealthCare, Westin Copley Place, Boston