Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Patricia C. Dykes"'
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background The COVID-19 pandemic led to new and unfamiliar changes in healthcare services globally. Most COVID-19 patients were cared for in primary healthcare services, demanding major adjustments and adaptations in care delivery. Research
Externí odkaz:
https://doaj.org/article/a3f114071f6f4909ad7cc1b28193b950
Autor:
Xudong Zhu, Joseph M. Plasek, Chunlei Tang, Wasim Al-Assad, Zhikun Zhang, Yun Xiong, Liqin Wang, Sharmitha Yerneni, Carlos Ortega, Min-Jeoung Kang, Li Zhou, David W. Bates, Patricia C. Dykes
Publikováno v:
BMC Research Notes, Vol 14, Iss 1, Pp 1-6 (2021)
Abstract Objective Our goal was to research and develop exploratory analysis tools for clinical notes, which now are underrepresented to limit the diversity of data insights on medically relevant applications. Results We characterize how exploratory
Externí odkaz:
https://doaj.org/article/d6559c2b62d046deafb10ee2826f67b9
Publikováno v:
Applied clinical informatics. 13(5)
Objectives The purpose of this study is to understand the relationship between documentation burden and clinician burnout syndrome in nurses working in direct patient care. The Office of the National Coordinator considers documentation burden a high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0d66f4fce2daaf085ebf4987fed71e8
https://pubmed.ncbi.nlm.nih.gov/36261113
https://pubmed.ncbi.nlm.nih.gov/36261113
Autor:
Lipika Samal, Srijesa Khasnabish, Cathy Foskett, Katherine Zigmont, Arild Faxvaag, Frank Chang, Marsha Clements, Sarah Collins Rossetti, Anuj K. Dalal, Kathleen Leone, Stuart Lipsitz, Anthony Massaro, Ronen Rozenblum, Kumiko O. Schnock, Catherine Yoon, David W. Bates, Patricia C. Dykes
Publikováno v:
Journal of patient safety. 18(6)
There is a lack of research on adverse event (AE) detection in oncology patients, despite the propensity for iatrogenic harm. Two common methods include voluntary safety reporting (VSR) and chart review tools, such as the Institute for Healthcare Imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfb6d176a7c5b6e3724b72e69cd2465f
https://pubmed.ncbi.nlm.nih.gov/35858480
https://pubmed.ncbi.nlm.nih.gov/35858480
Autor:
Kristen Shear, Hannah Rice, Pamela M. Garabedian, Ragnhildur Bjarnadottir, Nancy Lathum, Ann L. Horgas, Christopher A. Harle, Patricia C. Dykes, Robert Lucero
Publikováno v:
Applied Clinical Informatics. 14:212-226
Background Falls are a widespread and persistent problem for community-dwelling older adults. Use of fall prevention guidelines in the primary care setting has been suboptimal. Interoperable computerized clinical decision support systems have the pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f55568e10aa70ece5b1a03d3f41a2c9
https://doi.org/10.1055/a-2006-4936
https://doi.org/10.1055/a-2006-4936
Autor:
Wenyu Song, Linying Zhang, Luwei Liu, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Stuart Lipsitz, Anthony Massaro, Namrata Patil, Ravi Jasuja, Patricia C Dykes
Publikováno v:
Journal of the American Medical Informatics Association. 29:1661-1667
Objectives The coronavirus disease 2019 (COVID-19) is a resource-intensive global pandemic. It is important for healthcare systems to identify high-risk COVID-19-positive patients who need timely health care. This study was conducted to predict the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf755163f09a62149bb3ff58836b41a3
https://doi.org/10.1093/jamia/ocac083
https://doi.org/10.1093/jamia/ocac083
Autor:
Hannah Rice, Pamela M. Garabedian, Kristen Shear, Ragnhildur I. Bjarnadottir, Zoe Burns, Nancy K. Latham, Denise Schentrup, Robert J. Lucero, Patricia C. Dykes
Publikováno v:
Appl Clin Inform
Applied clinical informatics, vol 13, iss 3
Applied clinical informatics, vol 13, iss 3
Background and Significance Falls in community-dwelling older adults are common, and there is a lack of clinical decision support (CDS) to provide health care providers with effective, individualized fall prevention recommendations. Objectives The go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4cac346d41c8929f117cd835408aa78
https://doi.org/10.1055/s-0042-1750360
https://doi.org/10.1055/s-0042-1750360
Autor:
David A. Ganz, Anita H. Yuan, Erich J. Greene, Nancy K. Latham, Katy Araujo, Albert L. Siu, Jay Magaziner, Jerry H. Gurwitz, Albert W. Wu, Neil B. Alexander, Robert B. Wallace, Susan L. Greenspan, Jeremy Rich, Elena Volpi, Stephen C. Waring, Patricia C. Dykes, Fred Ko, Neil M. Resnick, Siobhan K. McMahon, Shehzad Basaria, Rixin Wang, Charles Lu, Denise Esserman, James Dziura, Michael E. Miller, Thomas G. Travison, Peter Peduzzi, Shalender Bhasin, David B. Reuben, Thomas M. Gill
Publikováno v:
Journal of the American Geriatrics Society, vol 70, iss 11
BackgroundFalls are common in older adults and can lead to severe injuries. The Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial cluster-randomized 86 primary care practices across 10 health systems to a multifactorial in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee45253166ad47fd57a541dfa067a70
https://escholarship.org/uc/item/8v67590x
https://escholarship.org/uc/item/8v67590x
Autor:
Patricia C. Dykes, Diane J. Skiba
Publikováno v:
International Journal of Medical Informatics. 175:105022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e2d0dd50266998812525882b01ca91
https://doi.org/10.1016/j.ijmedinf.2023.105022
https://doi.org/10.1016/j.ijmedinf.2023.105022
Autor:
Patricia C. Dykes, Chris Knaplund, Min-Jeoung Kang, Sarah Collins Rossetti, Adler J. Perotte, Kenrick Cato, Li-heng Fu, David J. Albers
Publikováno v:
J Am Med Inform Assoc
Objective To propose an algorithm that utilizes only timestamps of longitudinal electronic health record data to classify clinical deterioration events. Materials and methods This retrospective study explores the efficacy of machine learning algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::373f01beac98330c6d9b45100cfaeb20
https://doi.org/10.1093/jamia/ocab111
https://doi.org/10.1093/jamia/ocab111