Artificial Intelligence

AI has the potential to change the competitive landscape, but models that are not plug-and-play will take years to integrate into business models.

<p>The ability to have AI in the EHR must have the goal of incorporation into daily workflows, says Meditech COO Helen Waters.<br />  </p>

<p>Large language models help leverage the social determinants of health for better care navigation, says Karl Ulfers, cofounder and CEO of DUOS.<br />  </p>

<p>Neuroglee's cognitive care at home technology helps patients get the right care plan, says founder and CEO Aniket Singh Rajput.<br />  </p>

<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Most AI adoption requires healthcare organizations to have a certain level of digital maturity, says Professor David Lowe, clinical director, Health Innovation with the Scottish government.</span></span></p>

<p class="MsoNoSpacing"><span style="font-size:11pt"><span style="font-family:"Calibri",sans-serif">Mass General Brigham has a digital team strategy with one focus on reducing the documentation burden, says CIO Dr. Adam Landman.</span></span></p>

<p>Talkspace pioneered text therapy and uses machine learning algorithms to identify patterns in language that could signal an alert, says CTO Gil Margolin.<br />  </p>

AI promises automation and augmentation, but risks include input poisoning into large amounts of data.

<p>Geisinger medical director of AI Dr. Aalpen Patel describes the role of AI in healthcare and some of the health system's initiatives, including an effort that seeks to prioritize eligible patients who are overdue for colorectal screenings.</p>

Such an approach, the group said, would allow oversight organizations to tailor their regulations to the particular risks linked to AI.