The National Science Foundation awarded a $598,676 project grant to Beth Israel Deaconess Medical Center, Inc. to develop machine learning-driven user interfaces for medical record information gathering and synthesis under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award period is from September 1, 2022 to August 31, 2026.
The project will advance the foundations of human-AI interaction and artificial intelligence for healthcare by developing a novel dynamic contextual user interface that transforms the medical note-taking process. Researchers will collect implicit usage data through a new "Semantic Clipboard" interface used while clinicians review patient records and write notes. New machine learning methodologies will be developed to predict relevant information for customized contextual displays based on the clinical scenario and user. This has the potential to help prevent missed diagnoses and interventions, ultimately decreasing morbidity, mortality, and healthcare costs while also reducing documentation burdens and physician burnout.