Zobrazeno 1 - 10
of 22
pro vyhledávání: '"N. Lance Downing"'
Autor:
Mario Funes Hernandez, Meghedi Babakhanian, Tania P. Chen, Ashish Sarraju, Clark Seninger, Vishnu Ravi, Zahra Azizi, James Tooley, Tara I. Chang, Ying Lu, N. Lance Downing, Fatima Rodriguez, Ron C. Li, Alexander T. Sandhu, Mintu Turakhia, Vivek Bhalla, Paul J. Wang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 2 (2024)
Background High blood pressure affects approximately 116 million adults in the United States. It is the leading risk factor for death and disability across the world. Unfortunately, over the past decade, hypertension control rates have decreased acro
Externí odkaz:
https://doaj.org/article/36e4112308be42eea42c6d787ab0f71d
Autor:
Ron C Li, Jonathan H Chen, Martin G Seneviratne, Paul Gamble, Nigam Shah, Meredith Schreier, Daniel Lopez-Martinez, Birju S Patel, Alex Yakubovich, Jonas B Kemp, Eric Loreaux, Kristel El-Khoury, Laura Vardoulakis, Doris Wong, Janjri Desai, Keith E Morse, N Lance Downing, Lutz T Finger, Ming-Jun Chen
Publikováno v:
BMJ Health & Care Informatics, Vol 29, Iss 1 (2022)
Objectives Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical pa
Externí odkaz:
https://doaj.org/article/04d4f20bb60c489494e70f6806539a48
Autor:
A Jay Holmgren, N Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst, Robert S Huckman
Publikováno v:
J Am Med Inform Assoc
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association : JAMIA
Objective The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic. Materials and Methods We use
Autor:
Martin G Seneviratne, Ron C Li, Meredith Schreier, Daniel Lopez-Martinez, Birju S Patel, Alex Yakubovich, Jonas B Kemp, Eric Loreaux, Paul Gamble, Kristel El-Khoury, Laura Vardoulakis, Doris Wong, Janjri Desai, Jonathan H Chen, Keith E Morse, N Lance Downing, Lutz T Finger, Ming-Jun Chen, Nigam Shah
Publikováno v:
BMJ Health & Care Informatics Online. 29:e100656
Objectives Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical pa
Autor:
Christopher A. Longhurst, Veena G Jones, Christopher Sharp, Brian Clay, Ming Tai-Seale, Beiqun Zhao, N. Lance Downing, Richard V. Milani, Albert S. Chan
Publikováno v:
Health Affairs. 38:383-390
Patients' journeys across the care continuum can be improved with patient-centered technology integrated into the care process. Misaligned financial incentives, change management challenges, and privacy concerns are some of the hurdles that have prev
Autor:
Kevin A. Schulman, David M. Cutler, Arnold Milstein, Robert S. Huckman, A Jay Holmgren, N. Lance Downing, Tait D. Shanafelt, David W. Bates, Christopher Sharp
Publikováno v:
JAMA Intern Med
IMPORTANCE: Understanding how the electronic health record (EHR) system changes clinician work, productivity, and well-being is critical. Little is known regarding global variation in patterns of use. OBJECTIVE: To provide insights into which EHR act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72a263f4c33e914699a8c14edc8ff9b9
https://europepmc.org/articles/PMC7737152/
https://europepmc.org/articles/PMC7737152/
Autor:
A Jay Holmgren, N Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst, Robert S Huckman
Publikováno v:
Journal of the American Medical Informatics Association. 29:749-749
Publikováno v:
JAMA Intern Med
This cross-sectional study measures clinicians’ time spent using electronic health records by specialty and the activities performed.
Autor:
Brandi Campbell, Kayla Deru, Julia Lee, Michelle Guo, N. Lance Downing, Bingbin Liu, Jeffrey K. Jopling, Li Fei-Fei, Alexandre Alahi, Francesca Rinaldo, Gabriel Bianconi, Serena Yeung, Rishab Mehra, Arnold Milstein, William Beninati
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-5 (2019)
npj Digital Medicine, Vol 2, Iss 1, Pp 1-5 (2019)
Early and frequent patient mobilization substantially mitigates risk for post-intensive care syndrome and long-term functional impairment. We developed and tested computer vision algorithms to detect patient mobilization activities occurring in an ad
Publikováno v:
The New England journal of medicine. 378(14)
Bedside Computer Vision Computer vision, a rapidly progressing domain of artificial intelligence, may ultimately permit further improvement in patient safety. Researchers have been testing an AI-ba...