Effect of language interpretation modality on throughput and mortality for critical care patients: A retrospective observational study

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2021-08

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10.1002/emp2.12477

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Oca, Siobhan R, Angelo Navas, Erin Leiman and Daniel M Buckland (2021). Effect of language interpretation modality on throughput and mortality for critical care patients: A retrospective observational study. Journal of the American College of Emergency Physicians Open, 2(4). 10.1002/emp2.12477 Retrieved from https://hdl.handle.net/10161/23429.

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Scholars@Duke

Oca

Siobhan Rigby Oca

Assistant Professor of The Practice in the Thomas Lord Department of Mechanical Engineering and Materials Science

Siobhan Oca's research focusses on medical robotics and robotics education. Specifically, she is interested in developing safe and effective autonomous medical procedures. Her doctoral research focussed on development of autonomous ultrasound scanning with robotic arm, implemented in a human study, which also assessed trust and safety. Since starting as faculty, she studies the methods used in teaching robotics to understand their efficacy in student learning and perception of robotics as a future career field.  

She leads the Masters programs in Robotics for MEMS and is passionate about robotics curricula development that prepares students for their future in robotics and impacts on society, including through her Case Studies of Ethics in Robotics and Autonomy course. 


Leiman

Erin Roxanne Leiman

Associate Professor of Emergency Medicine

Erin Leiman, MD is Assistant Professor, Director of Undergraduate Medical Education, and Medical Director of the Physician Assistant Residency Program in the Department of Emergency Medicine at Duke University School of Medicine.  Dr. Leiman leads other undergraduate academic pursuits as the Assistant Director for the Duke Interprofessional Education and Care Center and the medical director of the Interprofessional Education Clinic that brings together interprofessional students and faculty to care for patients.  She received her medical degree from Vanderbilt University and trained at the Harvard-affiliated program in Emergency Medicine at Beth Israel Deaconess Hospital in Boston where she was chief resident. 

Buckland

Daniel Buckland

Assistant Professor of Emergency Medicine

Dr. Buckland is an Attending Physician at Duke University Hospital Emergency Department. He is the Director of the Duke Acute Care Technology Lab where he leads research in developing technology for the diagnosis and treatment of acute disease in data science and robotics projects by managing collaborative research projects between clinicians and engineers. His work at involves studying how advancements in autonomy impact safety critical systems, including the healthcare system. As part of his focus on autonomy, he is the Medical Director of the the Laboratory for Transformational Administration (LTA) an Operational Data Science group in the Duke Department of Surgery.
In addition, Dr. Buckland is the Deputy Chair of the Human System Risk Board of the Office of the Chief Health and Medical Officer via an Intergovernmental Personnel Act agreement with NASA, where he determines the human system risk of spaceflight and how standards, countermeasures, and mission design can mitigate risk.


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