New York-based White Plains Hospital is collaborating with Layer Well being, an AI-enabled chart evaluate firm to automate reporting throughout a number of scientific registries and speed up the chart evaluate course of.
White Plains Hospital participates in quite a few scientific registries that require assets to gather and submit affected person knowledge.
In response to the hospital, the present guide chart evaluate course of is time-consuming and labor-intensive.
White Plains Hospital will use Layer Well being’s LLMs/AI platform to assist scientific registry reporting.
“Our AI platform was designed to deal with the complexity of scientific knowledge at scale, turning what was as soon as a guide, resource-heavy course of into one thing quicker, extra constant and much simpler to handle,” David Sontag, cofounder and CEO of Layer Well being, instructed MobiHealthNews.
“We’re excited to companion with such a forward-looking group like White Plains Hospital, working with them to make sure our know-how supercharges their scientific group with validated and reliable AI.”
THE LARGER TREND
In March, Layer Well being secured $21 million in Collection A funding. Outline Ventures led the spherical, which included GV (Google Ventures), Flare Capital Companions and MultiCare Capital Companions.
That very same month, Layer Well being introduced a multi-year collaboration with the American Most cancers Society (ACS) to make use of giant language fashions to expedite most cancers analysis.
ACS used Layer Well being’s LLM-powered knowledge abstraction platform to tug scientific knowledge from 1000’s of medical charts of sufferers enrolled in ACS analysis research.
These research embody the Most cancers Prevention Research-3, a inhabitants research of 300,000 contributors amongst whom a number of thousand have been recognized with most cancers and supplied their medical information.
