Layer Health, a healthcare AI firm born out of MIT, unveiled its launch backed by a $4 million investment from GV, General Catalyst, and Inception Health. Their flagship AI tool, Distill, employs advanced machine learning models to streamline chart review processes from unstructured data. This technology, named Distill, doesn’t rely on labeled data, aiming to enhance quality measurement, revenue cycle management, and real-world evidence curation. Led by CEO David Sontag, an MIT professor renowned for AI research, the team includes experts like Luke Murray from Google and Monica Agrawal from Flatiron Health. Meanwhile, other players like Pieces Technologies and Florence are also leveraging AI for clinical workflow improvements in healthcare. Pieces Technologies, based in Dallas, introduced Sculpted AI powered by Amazon Web Services, tailored for health systems’ needs, while Florence from New York focuses on patient-centric tools allowing them to manage their healthcare journey using smartphones, streamlining clinical workflows for providers.
Healthcare AI company Layer Health, spun out of MIT, announced its launch with $4 million in funding from GV (Google Ventures), General Catalyst and Inception Health.
WHAT THEY DO
Layer Health’s AI platform, dubbed Distill, built on machine learning algorithms that leverage large language models, aims to streamline the chart review process from unstructured data.
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The technology can be integrated into existing products and aims to help with quality measurement, curation of real-world evidence, revenue cycle management, quality measurement and registry submissions without the need for labeled data.
The company is led by David Sontag, Layer Health’s CEO and a professor at MIT, who has published more than 100 papers on AI and machine learning.
Its leadership team includes Luke Murray, who built MedKnowts and Know Your Data at Google, and Monica Agrawal, who previously built ML models for oncology-focused digital health company Flatiron Health.
MARKET SNAPSHOT
Several companies are utilizing AI to improve clinical workflow, including Dallas-based Pieces Technologies, a healthcare generative AI company for care teams.
Earlier this month, the company announced it incorporated Amazon Web Services’ genAI offerings to create Sculpted AI. This platform can tailor to health systems’ specifications and embeds AI within electronic health record clinical workflows.
In March, New York-based health technology company Florence, which focuses on clinical capacity management, launched with $20 million in seed funding in a round led by Google Ventures, Thrive Capital and Salesforce Ventures.
Florence’s platform is more patient-facing, allowing them to track their healthcare journey using a smartphone. Patients can complete intake forms, fill prescriptions, update their clinical information and schedule follow-up appointments to help ease the clinical workflow for providers.
Source: MobiHealthnews
