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 medical registries and speed up the chart evaluate course of.
White Plains Hospital participates in quite a few medical registries that require assets to gather and submit affected person information.
In response to the hospital, the present handbook chart evaluate course of is time-consuming and labor-intensive.
White Plains Hospital will use Layer Well being’s LLMs/AI platform to help medical registry reporting.
“Our AI platform was designed to deal with the complexity of medical information at scale, turning what was as soon as a handbook, resource-heavy course of into one thing quicker, extra constant and much simpler to handle,” David Sontag, cofounder and CEO of Layer Well being, informed MobiHealthNews.
“We’re excited to associate with such a forward-looking group like White Plains Hospital, working with them to make sure our know-how supercharges their medical crew with validated and reliable AI.”
THE LARGER TREND
In March, Layer Well being secured $21 million in Sequence 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 massive language fashions to expedite most cancers analysis.
ACS used Layer Well being’s LLM-powered information abstraction platform to tug medical information from hundreds of medical charts of sufferers enrolled in ACS analysis research.
These research embody the Most cancers Prevention Examine-3, a inhabitants research of 300,000 individuals, amongst whom a number of thousand have been identified with most cancers and supplied their medical information.
