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Making smart picks and achieving ROI requires careful study to discern signal from noise, says Jason Smith, venture acceleration fellow at MATTER.
Yesha Patel, data scientist at Keck Medicine of USC says some applications come out of the box "ready to go." Others require a more customized approach – but that requires a lot of in-house expertise, like data scientists and AI architects.
The Health AI Partnership is offering technical assistance to help FQHCs and community hospitals bridge the digital divide, says Dr. Mark Sendak, population health & data science lead at the Duke Institute for Health Innovation.
Stephen Ferrara, associate dean of AI at Columbia University and past president of the American Association of Nurse Practitioners, says educating nurses on "what AI can do, and what it can't" will be essential to getting buy-in.