Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sharon E. Davis"'
Publikováno v:
Frontiers in Drug Safety and Regulation, Vol 4 (2024)
Electronic health records (EHRs) have emerged as resources for both the identification of adverse drug events (ADEs) and general population health surveillance, however questions remain around how best to utilize EHR data for drug safety signal ident
Externí odkaz:
https://doaj.org/article/8b86ed7aeb82437fba2d0273e12a669d
Autor:
Sharon E. Davis, Henry Ssemaganda, Jejo D. Koola, Jialin Mao, Dax Westerman, Theodore Speroff, Usha S. Govindarajulu, Craig R. Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Validating new algorithms, such as methods to disentangle intrinsic treatment risk from risk associated with experiential learning of novel treatments, often requires knowing the ground truth for data characteristics under investi
Externí odkaz:
https://doaj.org/article/da9c1b6c11a54cf5a60019ad0b3ad689
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
As the implementation of artificial intelligence (AI)-enabled tools is realized across diverse clinical environments, there is a growing understanding of the need for ongoing monitoring and updating of prediction models. Dataset shift—temporal chan
Externí odkaz:
https://doaj.org/article/e145584afc6e4d9e82898b8a9ba7d2d2
Autor:
Gaelen P. Adam, Jessica S. Ancker, David W. Bates, Nicole M. Benson, Aziz A. Boxwala, Steven Brown, Paul Cerrato, James J. Cimino, David A. Cook, Kathrin Cresswell, Sharon E. Davis, Guilherme Del Fiol, Apurva Desai, Floyd Eisenberg, Amy Franklin, Hamish S.F. Fraser, Emory A. Fry, John Glaser, Robert A. Greenes, John Halamka, Peter Haug, Tonya Hongsermeier, Stanley M. Huff, Robert A. Jenders, Darren K. Johnson, Kensaku Kawamoto, Kristin J. Konnyu, Lee Min Lau, Preston Lee, Leslie A. Lenert, Farah Magrabi, Michael E. Matheny, Saverio M. Maviglia, John D. McGreevey III, Timothy Miksch, Claude Nanjo, Shamim Nemati, Lucila Ohno-Machado, Thomas A. Oniki, Vimla L. Patel, Mor Peleg, Bryn Rhodes, Beatriz H. Rocha, Roberto A. Rocha, Jorge A. Rodriguez, Ian Jude Saldanha, Hojjat Salmasian, Lipika Samal, Christopher H. Schmid, Richard Schreiber, Jane Shellum, Edward H. Shortliffe, Davide Sottara, Thomas A. Trikalinos, Meghan Reading Turchioe, Marc S. Williams, Melanie C. Wright, Hong Yu, Jiajie Zhang
Publikováno v:
Clinical Decision Support and Beyond ISBN: 9780323912006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd79f20f23e0871ba8d4b2c9adbcf29
https://doi.org/10.1016/b978-0-323-91200-6.09990-3
https://doi.org/10.1016/b978-0-323-91200-6.09990-3
Publikováno v:
Clinical Decision Support and Beyond ISBN: 9780323912006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f85238e47b560c9adfae7c2f0ee92e06
https://doi.org/10.1016/b978-0-323-91200-6.00031-0
https://doi.org/10.1016/b978-0-323-91200-6.00031-0
Autor:
Sharon E. Davis, Jeremiah R. Brown, Chad Dorn, Dax Westerman, Richard J. Solomon, Michael E. Matheny
Publikováno v:
Circulation: Cardiovascular Quality and Outcomes. 15
Background: The utility of quality dashboards to inform decision-making and improve clinical outcomes is tightly linked to the accuracy of the information they provide and, in turn, accuracy of underlying prediction models. Despite recognition of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b0c6db3e62bac089fe89ed6a8ff8704
https://doi.org/10.1161/circoutcomes.121.008635
https://doi.org/10.1161/circoutcomes.121.008635
Autor:
Sharon E. Davis, Amy M. Perkins, Michael E. Matheny, Guanhua Chen, Samuel B. Ho, Aize Cao, Jejo Koola
Publikováno v:
Dig Dis Sci
BACKGROUND: Early hospital readmission for patients with cirrhosis continues to challenge the healthcare system. Risk stratification may help tailor resources, but existing models were designed using small, single-institution cohorts or had modest pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a6de6d34d283ed99ce0d4067336e120
https://doi.org/10.1007/s10620-019-05826-w
https://doi.org/10.1007/s10620-019-05826-w
Publikováno v:
J Biomed Inform
Model calibration, critical to the success and safety of clinical prediction models, deteriorates over time in response to the dynamic nature of clinical environments. To support informed, data-driven model updating strategies, we present and evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1b88714c2e959956f3936e0891df3e2
https://pubmed.ncbi.nlm.nih.gov/33157313
https://pubmed.ncbi.nlm.nih.gov/33157313
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2019
In evolving clinical environments, the accuracy of prediction models deteriorates over time. Guidance on the design of model updating policies is limited, and there is limited exploration of the impact of different policies on future model performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::173f6918442b66c829175fab6fc18f3a
https://pubmed.ncbi.nlm.nih.gov/32308897
https://pubmed.ncbi.nlm.nih.gov/32308897
Publikováno v:
Applied Clinical Informatics. :779-793
Summary Background: Patient portal adoption has increased over the last two decades. Most research about patient portals has focused on adult populations in the primary care and medical specialty settings. Objective: We describe initial and long-term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ea8d7fcd53d21b16fd924c349bfa706
https://doi.org/10.4338/aci-2017-01-ra-0005
https://doi.org/10.4338/aci-2017-01-ra-0005