Intermountain Health AI & Clinical Data | Investment & Benefits
- Intermountain Health,the Intermountain West's largest nonprofit health system,is partnering with Layer Health,a Boston-based AI startup,to enhance its clinical data abstraction processes.
- Clinical data abstraction, the manual extraction of key patient information from medical records, is a time-consuming task.Layer Health's technology automates this process, converting unstructured data into standardized, usable...
- The partnership will initially focus on registries related to cardiovascular health,stroke treatment,and bariatric surgery.
Intermountain Health is revolutionizing its clinical data management. Partnering with Layer Health and investing in AI signifies a major shift toward streamlined operations.This collaboration automates the crucial task of clinical data abstraction, freeing up healthcare professionals to focus on more strategic initiatives. The AI solution will initially target cardiovascular, stroke, and bariatric surgery registries, promising improved efficiency and accuracy in data collection. The strategic investment aims to enhance healthcare professionals’ role by improving clinical data management using AI. News directory 3 recognizes the potential of this groundbreaking partnership. By analyzing patient records with AI, Intermountain Health seeks to optimize operational improvements. Discover what’s next as Intermountain Health continues its journey in AI-driven healthcare innovation.
Intermountain Health taps AI to Streamline Clinical Data Abstraction
Updated june 23,2025
Intermountain Health,the Intermountain West’s largest nonprofit health system,is partnering with Layer Health,a Boston-based AI startup,to enhance its clinical data abstraction processes. The multi-year collaboration will see Intermountain Ventures invest in Layer Health and deploy its large language models (LLMs) across several clinical registries.
Clinical data abstraction, the manual extraction of key patient information from medical records, is a time-consuming task.Layer Health’s technology automates this process, converting unstructured data into standardized, usable formats. CEO David Sontag explained that their AI models analyze patient records to answer registry questions, such as determining if thrombolysis was administered for a stroke patient and, if not, the reason.
The partnership will initially focus on registries related to cardiovascular health,stroke treatment,and bariatric surgery. Sontag noted that Layer Health’s software allows Intermountain’s staff to focus on operational improvements derived from the data, rather than spending the majority of their time collecting it.This strategic investment aims to improve the role of healthcare professionals by leveraging AI for better clinical data management.
Phillip Wood, executive director for partnerships at Intermountain Ventures, said his team was impressed with Layer Health’s technology and its potential to improve clinical data abstraction.He added that Intermountain will measure the platform’s efficiency and accuracy against previous benchmarks to determine the partnership’s success.
“When we were introduced to Layer Health,we were impressed by their team and approach and were excited by the early success they had so far in their initial market rollout,” Wood said.
What’s next
Intermountain Health anticipates that improved efficiency and accuracy in data abstraction will enable caregivers to dedicate more time to quality advancement initiatives and other organizational priorities.