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Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.

Autor: Tabaie A; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC, United States.; Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC, United States., Tran A; Department of Quality and Safety, MedStar Health Research Institute, Washington, DC, United States., Calabria T; Department of Quality and Safety, MedStar Health Research Institute, Washington, DC, United States., Bennett SS; Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC, United States., Milicia A; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States., Weintraub W; Population Health, MedStar Health Research Institute, Washington, DC, United States.; Georgetown University School of Medicine, Washington, DC, United States., Gallagher WJ; Georgetown University School of Medicine, Washington, DC, United States.; Family Medicine Residency Program, MedStar Health Georgetown-Washington Hospital Center, Washington, DC, United States., Yosaitis J; Georgetown University School of Medicine, Washington, DC, United States.; MedStar Simulation Training & Education Lab (SiTEL), MedStar Institute for Innovation, Washington, DC, United States., Schubel LC; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States., Hill MA; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, ON, Canada.; Michael Garron Hospital, Toronto, ON, Canada., Smith KM; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, ON, Canada.; Michael Garron Hospital, Toronto, ON, Canada., Miller K; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States.; Georgetown University School of Medicine, Washington, DC, United States.

Publikováno v: Journal of medical Internet research [J Med Internet Res] 2024 Aug 26; Vol. 26, pp. e50935. Date of Electronic Publication: 2024 Aug 26.

Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial.

Autor: Shara N; MedStar Health Research Institute, Hyattsville, MD, United States of America.; Georgetown University, Washington, DC, United States of America.; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, United States of America., Bjarnadottir MV; Center for Health Information and Decision Systems, University of Maryland, College Park, MD, United States of America., Falah N; MedStar Health Research Institute, Hyattsville, MD, United States of America.; Georgetown University, Washington, DC, United States of America., Chou J; MedStar Health Research Institute, Hyattsville, MD, United States of America., Alqutri HS; MedStar Health Research Institute, Hyattsville, MD, United States of America., Asch FM; MedStar Health Research Institute, Hyattsville, MD, United States of America., Anderson KM; Georgetown University, Washington, DC, United States of America., Bennett SS; MedStar Health Research Institute, Hyattsville, MD, United States of America.; MedStar Health National Center for Human Factors in Healthcare, MedStar Health Research Institute, Hyattsville, MD, United States of America., Kuhn A; MedStar Health Research Institute, Hyattsville, MD, United States of America., Montalvo B; MedStar Health Research Institute, Hyattsville, MD, United States of America., Sanchez O; MedStar Health Research Institute, Hyattsville, MD, United States of America., Loveland A; MedStar Health Research Institute, Hyattsville, MD, United States of America., Mohammed SF; Creighton University, Omaha, NE, United States of America.

Publikováno v: PloS one [PLoS One] 2022 May 06; Vol. 17 (5), pp. e0267794. Date of Electronic Publication: 2022 May 06 (Print Publication: 2022).

Minimally Invasive Decompression and Physiotherapy for Lumbar Spinal Stenosis in Geriatric Patients.

Autor: Hoffman H; Department of Neurosurgery, University of California Los Angeles., Bennett SS; Department of Physical Therapy, University of California, Los Angeles., Li CH; Department of Neurosurgery, University of California, Los Angeles., Haakana P; Department of Neurosurgery, University of California Los Angeles., Lu DC; Department of Neurosurgery, University of California Los Angeles.

Publikováno v: Cureus [Cureus] 2018 Jun 11; Vol. 10 (6), pp. e2785. Date of Electronic Publication: 2018 Jun 11.