Intermountain Well being, the biggest nonprofit healthcare supplier within the Intermountain West area, struck a multi-year collaboration with a younger generative AI startup this month.
The well being system is teaming up with Layer Well being, a Boston-based healthcare AI firm that makes use of massive language fashions (LLMs) to enhance scientific information abstraction with out growing administrative burden. Intermountain’s enterprise capital arm is making a strategic funding within the startup, and the group is deploying the expertise throughout a number of of its scientific registries.
Scientific information abstraction is the method of manually reviewing and extracting key data from sufferers’ medical data — this sometimes means taking unstructured information and reworking it into standardized, usable information. Layer makes use of LLMs and a spread of different machine studying methods to automate this course of, defined CEO David Sontag.
“For the scientific registry abstraction use case, we’ve high-quality tuned a spread of AI fashions that may motive throughout a affected person’s document and reply the questions discovered within the scientific registry, resembling ‘Was Thrombolysis given for this affected person’s stroke?’ and ‘If not, what was the contraindication?’ This AI-enabled chart evaluate engine is used to energy software program that’s utilized by Intermountain’s scientific abstraction group — the software program offers urged solutions to the scientific registry questions, supported by snippets of proof from the affected person’s chart,” he acknowledged.
The scope of this partnership contains registries within the cardiovascular, stroke and bariatric surgical procedure areas.
For every registry, the total longitudinal affected person chart usually must be parsed, together with structured information parts, like labs, vitals and analysis codes, in addition to unstructured information, like scientific notes and radiology stories, Sontag famous.
He identified that Intermountain participates in a lot of scientific registries, which requires a big guide human chart abstraction effort.
“Utilizing Layer’s software program, Intermountain has the chance to allow its high quality employees to work ‘high of license’ — making operational enhancements primarily based on insights from the info, quite than spending nearly all of their time amassing the info,” Sontag declared.
Phillip Wooden, Intermountain Ventures’ government director for partnerships, mentioned that his group had been watching the marketplace for options to enhance scientific information abstraction — and that once they met with Layer’s group, they felt the expertise was the best match for his or her group.
“Once we have been launched to Layer Well being, we have been impressed by their group and strategy and have been excited by the early success they’d up to now of their preliminary market rollout. After expertise demos with our scientific excellence group, we decided that Layer could be a superb companion to work with in creating and validating this use-case of AI expertise,” Wooden acknowledged.
To find out the success of the partnership, Intermountain will likely be measuring the platform’s effectivity and accuracy compared to its earlier benchmarks, he added.
“If we will enhance effectivity and accuracy by way of the instruments, it’ll allow our caregivers to do extra with different high quality organizations and enchancment initiatives,” Wooden remarked.
Photograph: ra2studio, Getty Pictures
