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Search found 30 items
This research will develop and evaluate a semi-automatic approach to conducting literature searches for systematic reviews.
This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.
This project will create and evaluate a learning network to expand the use of the Rheumatology Informatics System for Effectiveness (RISE) registry for patient-reported outcomes on rheumatoid arthritis.
This study will examine usability and safety hazards of electronic medication administration records, with a focus on communication and information flow between health information technology applications.
This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.
This project will design natural language processing algorithms to extract data from free text notes on autism spectrum disorders in electronic health records, and demonstrate the feasibility and usefulness of this approach.
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.
This project will provide an evidence base to better inform user-centered design and implementation processes to improve health information technology, usability, and safety.