PCORI awards Brigham and Women's $1M to develop AI tech for EHRs

The Patient-Centered Outcomes Research Institute granted $1 million to Boston-based Brigham and Women's Hospital to build natural language processing technology that can extract information from EHRs, according to a Nov. 20 news release.

Through the project, Brigham and Women's Hospital researchers aim to develop NLP-based technology that can address the challenge of extracting information when the topic or command is switched mid-sentence.

Researchers will focus on two different NLP technologies: artificial intelligence technology based on deep learning, and Canary software, which uses programming code changes. The team will build these technologies based on three clinical examples: patients with high cholesterol and high risk for heart attacks or stroke who decline statin cholesterol-lowering medications, patients with obesity who discuss weight-loss surgery with their clinicians and recording of the patient's smoking status in the EHR.

Brigham researchers will then evaluate the technologies' performances using EHR data from Baltimore-based Johns Hopkins Health System to ensure the technology works well on data from different organizations.

More articles on EHRs:
Michigan hospital pays $8M to transition to Covenant HealthCare's Epic EHR 
Oregon Health & Sciences creates drug price transparency tool for Epic EHR
Intermountain CMIO: How interoperability bridges gaps in knowledge, decision support to improve patient care

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