Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Suzanne V. Blackley"'
Autor:
Chunlei Tang, Yangyong Zhu, Suzanne V. Blackley, Joseph M. Plasek, Meihan Wan, Li Zhou, Jing Ma, David W. Bates
Publikováno v:
IEEE Access, Vol 7, Pp 90597-90607 (2019)
Data-driven visualization techniques can be utilized to enhance the literature review process across different disciplines. In our work, 910 articles were retrieved using keyword search from bibliographic databases of two different disciplines (compu
Externí odkaz:
https://doaj.org/article/f820b7c236d640349d4dd7b7911e898b
Autor:
Dan Shi, Chunlei Tang, Suzanne V. Blackley, Liqin Wang, Jiahong Yang, Yanming He, Samuel I. Bennett, Yun Xiong, Xiao Shi, Li Zhou, David W. Bates
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106153- (2020)
Hospitalized geriatric patients are a highly heterogeneous group often with variable diseases and conditions. Physicians, and geriatricians especially, are devoted to seeking non-invasive testing tools to support a timely, accurate diagnosis. Chinese
Externí odkaz:
https://doaj.org/article/11a9cfd47920410dbac927feeca4e53b
Autor:
Sharmitha Yerneni, Sonam N. Shah, Suzanne V. Blackley, Carlos A. Ortega, Kimberly G. Blumenthal, Foster Goss, Diane L. Seger, Paige G. Wickner, Christian M. Mancini, David W. Bates, Li Zhou
Publikováno v:
Applied clinical informatics. 13(3)
Background Health care institutions have their own “picklist” for clinicians to document adverse drug reactions (ADRs) into the electronic health record (EHR) allergy list. Whether the lack of a nationally standardized picklist impacts clinician
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04425a58fc5ce779883bc8f1ae35ad40
https://pubmed.ncbi.nlm.nih.gov/35617970
https://pubmed.ncbi.nlm.nih.gov/35617970
Publikováno v:
Journal of Allergy and Clinical Immunology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4548ea4e7f964ee26f91363739ec0ab
https://doi.org/10.1016/j.jaci.2023.03.004
https://doi.org/10.1016/j.jaci.2023.03.004
Autor:
Sachin, Vallamkonda, Carlos A, Ortega, Ying Chih, Lo, Suzanne V, Blackley, Liqin, Wang, Diane L, Seger, Kimberly G, Blumenthal, Joseph M, Plasek, Foster, Goss, Li, Zhou
Publikováno v:
Studies in health technology and informatics. 290
Allergy information is often documented in diverse sections of the electronic health record (EHR). Systematically reconciling allergy information across the EHR is critical to improve the accuracy and completeness of patients' allergy lists and ensur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e7aa9ec6c1ab875d48983b8d441da29a
https://pubmed.ncbi.nlm.nih.gov/35672983
https://pubmed.ncbi.nlm.nih.gov/35672983
Autor:
Sachin Vallamkonda, Carlos A. Ortega, Ying Chih Lo, Suzanne V. Blackley, Liqin Wang, Diane L. Seger, Kimberly G. Blumenthal, Joseph M. Plasek, Foster Goss, Li Zhou
Allergy information is often documented in diverse sections of the electronic health record (EHR). Systematically reconciling allergy information across the EHR is critical to improve the accuracy and completeness of patients’ allergy lists and ens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae84d3deeb945c83d518d8928ee539a7
https://doi.org/10.3233/shti220044
https://doi.org/10.3233/shti220044
Autor:
Sheril Varghese, Liqin Wang, Suzanne V. Blackley, Kimberly G. Blumenthal, Foster R. Goss, Li Zhou
Publikováno v:
The journal of allergy and clinical immunology. In practice. 10(10)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0920826b07edd1c17c4b23c2fc03aa0
https://pubmed.ncbi.nlm.nih.gov/36216464
https://pubmed.ncbi.nlm.nih.gov/36216464
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031001253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8b70fbb6a921c0a858e1c20de0c6cf
https://doi.org/10.1007/978-3-031-00126-0_51
https://doi.org/10.1007/978-3-031-00126-0_51
Autor:
Meihan Wan, Suzanne V. Blackley, Li Zhou, Yangyong Zhu, Jing Ma, Joseph M. Plasek, Chunlei Tang, David W. Bates
Publikováno v:
IEEE Access, Vol 7, Pp 90597-90607 (2019)
Data-driven visualization techniques can be utilized to enhance the literature review process across different disciplines. In our work, 910 articles were retrieved using keyword search from bibliographic databases of two different disciplines (compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57832b51f5d53105418eb4dc55a7fdb3
https://doi.org/10.1109/access.2019.2925706
https://doi.org/10.1109/access.2019.2925706
Publikováno v:
AMIA Annu Symp Proc
Opioid use disorder (OUD) represents a global public health crisis that challenges classic clinical decision making. As existing hospital screening methods are resource-intensive, patients with OUD are significantly under-detected. An automated and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e1db0b97f65ccb615a56a358e470fdc3
https://pubmed.ncbi.nlm.nih.gov/33936395
https://pubmed.ncbi.nlm.nih.gov/33936395