Moving Beyond AI FOMO to Unlock Value at Scale

Moving Beyond AI FOMO to Unlock Value at Scale

Artificial intelligence is at work everywhere across healthcare these days, from small-bore pilot projects to big implementations designed to nudge enterprise-wide improvements. But as hospitals and health systems pursue AI initiatives in earnest, many of them are still often flying blind.They understand AI's transformative potential – and hopefully also grasp the risks of model deployments that aren't properly calibrated – but may still not be pursuing their projects with purpose. There are plenty of roadmaps and implementation guides out there, designed to help shape an organization's AI journey. (The HIMSS Analytics Maturity Assessment Model is an especially valuable tool.) But they don't replace the hard work that has to be done in-house to achieve real and lasting value from AI.

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To truly realize clinical, financial and operational ROI – at scale – from artificial intelligence and machine learning investments, healthcare organizations must put in the effort: crafting strategic plans to achieve carefully defined goals, empowering the right leaders, getting buy-in from staff and much more.In his opening keynote at next month's HIMSS AI in Healthcare Forum, which is scheduled for July 10-11 in Brooklyn, Tom Lawry, managing director of Second Century Tech and a former health AI leader at Microsoft, will offer some insights into what makes successful deployments tick.



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