Enhancing Pressure Injury Surveillance Using Natural Language Processing

From the ∗Institutional Centers for Clinical and Translational Research

†Division of Infectious Diseases, Boston Children’s Hospital

‡Department of Pediatrics, Harvard Medical School

§Department of Ophthalmology

∥Division of Emergency Medicine, Boston Children’s Hospital, Boston, Massachusetts.

Correspondence: Amir A. Kimia, MD, Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115 (e-mail: [email protected]).

This study was funded by the Agency for Healthcare Research and Quality (grant number: R01 HS026246 01A1). This work was conducted with support from Harvard Catalyst|The Harvard Clinical and Translational Science Center (National Center for Advancing Translational Sciences, National Institutes of Health Award, Award UL1 TR002541) and financial contributions from Harvard University and its affiliated academic health care centers. The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic health care centers, or the National Institutes of Health.

The authors disclose no conflict of interest.

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