Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Caroline M. Quill"'
Autor:
Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush, Martin S. Zand
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-19 (2018)
Abstract Background To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods. Methods Using publicly available Medicare Part D claims data, we identif
Externí odkaz:
https://doaj.org/article/82fbd50c5b40484b8655af606dffdc31
Publikováno v:
Cureus. 14(10)
Background The objective of our study was to determine whether disparities exist in the use of lung-protective ventilation for critically ill mechanically ventilated patients in the United States based on gender, race/ethnicity, or insurance status.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2e6a15f0a2c200605db619c778a2cc8
https://pubmed.ncbi.nlm.nih.gov/36337793
https://pubmed.ncbi.nlm.nih.gov/36337793
Autor:
Christine M. Groth, Paritosh Prasad, Stephen Rappaport, Anthony P. Pietropaoli, Samantha Delibert, Kaylee M. Maynard, David C. Kaufman, Jenna M. Clark, Caroline M. Quill
Publikováno v:
American Journal of Respiratory and Critical Care Medicine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0442000057567d967744f6bbae19f18c
http://europepmc.org/articles/PMC7737599
http://europepmc.org/articles/PMC7737599
Autor:
Julia West, Caroline M. Quill
Publikováno v:
Adult Critical Care Medicine ISBN: 9783319944234
Respiratory failure is a common reason for critical care evaluation and ICU admission and invokes a broad differential. Respiratory failure is commonly categorized into four “types,” with hypoxemic and hypercapnic being the most common. There is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41d718fecb26f4cf8bcc472b167ba193
https://doi.org/10.1007/978-3-319-94424-1_18
https://doi.org/10.1007/978-3-319-94424-1_18
Autor:
Samir A. Farooq, Martin S. Zand, Lisa A. Nelson, Samuel J. Weisenthal, Christopher F. Fucile, Alexander F. Rosenberg, Melissa Trayhan, Kristen Bush, Caroline M. Quill, Robert J. White
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-19 (2018)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods. Methods Using publicly available Medicare Part D claims data, we identified and v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c5fda9cb827d57cea13e15245fb17d
https://doi.org/10.7287/peerj.preprints.3470v1
https://doi.org/10.7287/peerj.preprints.3470v1
Publikováno v:
Critical Care Nursing Clinics of North America. 27:383-394
Over the course of the last half-century, intensive care units have been the setting for many ethical and legal debates in medicine. This article outlines 3 important domains that lie at the intersection of critical care, palliative care, ethics, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865698c5f8008100c89b8c8cd1be6182
https://doi.org/10.1016/j.cnc.2015.05.007
https://doi.org/10.1016/j.cnc.2015.05.007
Publikováno v:
Internal Medicine Review. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb93ae0baf095bb04b32229e2f0fdc45
https://doi.org/10.18103/imr.v3i8.536
https://doi.org/10.18103/imr.v3i8.536
Autor:
Kristen Bush, Hugo Barbosa, Christopher F. Fucile, Gourab Ghoshal, Samir A. Farooq, Melissa Trayhan, Martin S. Zand, Alexander F. Rosenberg, Hassan Chafi, Timothy Boudreau, Caroline M. Quill, Robert J. White
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175876 (2017)
PLoS ONE
PLoS ONE
Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other. Most healthcare service network models have been constructed from patient claims data, using billing claims to link pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9febebf338f0995739e7386089c578ed
Autor:
Samuel J. Weisenthal, Jiebo Luo, Martin S. Zand, Henry Kautz, Samir A. Farooq, Caroline M. Quill
Publikováno v:
Journal of Clinical and Translational Science. 1:17-18
OBJECTIVES/SPECIFIC AIMS: Our objective was to develop and evaluate a machine learning pipeline that uses electronic health record (EHR) data to predict acute kidney injury (AKI) during rehospitalization for patients who did not have an AKI episode i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bec5eec3a3d854d03638e724002e237
https://doi.org/10.1017/cts.2017.75
https://doi.org/10.1017/cts.2017.75
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0204920 (2018)
PLoS ONE
PLoS ONE
Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing studies con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c63cafe3c58e159656429bd6f1b6bb20
https://doi.org/10.1371/journal.pone.0204920
https://doi.org/10.1371/journal.pone.0204920