New York-based White Plains Hospital is collaborating with Layer Well being, an AI-enabled chart evaluation firm, to automate reporting throughout a number of scientific registries and speed up the chart evaluation course of.
White Plains Hospital participates in quite a few scientific registries that require assets to gather and submit affected person information.
Based on the hospital, the present handbook chart evaluation 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 information at scale, turning what was as soon as a handbook, resource-heavy course of into one thing sooner, extra constant and much simpler to handle,” David Sontag, cofounder and CEO of Layer Well being, advised MobiHealthNews.
“We’re excited to accomplice with such a forward-looking group like White Plains Hospital, working with them to make sure our expertise supercharges their scientific staff 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 information abstraction platform to tug scientific information from hundreds of medical charts of sufferers enrolled in ACS analysis research.
These research embrace the Most cancers Prevention Research-3, a inhabitants examine of 300,000 members, amongst whom a number of thousand have been recognized with most cancers and supplied their medical data.
