Výsledky vyhledávání - "Mackenzie R. Hofford"

Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US

Autor: Patrick G. Lyons, Mackenzie R. Hofford, Sean C. Yu, Andrew P. Michelson, Philip R. O. Payne, Catherine L. Hough, Karandeep Singh

Publikováno v: JAMA Internal Medicine.

This cohort study uses data from electronic health records to assess variability in a sepsis prediction model across 9 hospitals.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8104ee5b4544d8e01b729636029f56dd
https://doi.org/10.1001/jamainternmed.2022.7182

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Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling

Autor: Sean C Yu, Mackenzie R Hofford, Albert M Lai, Marin H Kollef, Philip R O Payne, Andrew P Michelson

Publikováno v: Journal of the American Medical Informatics Association. 29:813-821

Objective Respiratory support status is critical in understanding patient status, but electronic health record data are often scattered, incomplete, and contradictory. Further, there has been limited work on standardizing representations for respirat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c288b6966dc8b92bf503a3e86977ab47
https://doi.org/10.1093/jamia/ocac005

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Paging the Clinical Informatics Community: Respond STAT to Dobbs v Jackson's Women's Health Organization

Autor: Simone Arvisais-Anhalt, Akshay Ravi, Benjamin Weia, Jos Aarts, Hasan B. Ahmad, Ellen Araj, Julie A. Bauml, Marge Benham-Hutchins, Andrew D. Boyd, Aimee Brecht-Doscher, Kerryn Butler-Henderson, Atul J. Butte, Anthony B. Cardilo, Nymisha Chilukuri, Mildred K. Cho, Jenny K. Cohen, Catherine K. Craven, Salvatore Crusco, Farah Dadabhoy, Dev Dash, Claire DeBolt, Peter L. Elkin, Oluseyi A. Fayanju, Laura J. Fochtmann, Justin V. Graham, John J. Hanna, William Hersh, Mackenzie R. Hofford, Jonathan D. Hron, Sean S. Huang, Brian R. Jackson, Bonnie Kaplan, William Kelly, Kyungmin Ko, Ross Koppel, Nikhil Kurapati, Gabriel Labbad, Julie J. Lee, Christoph U. Lehmann, Stefano Leitner, Zachary C. Liao, Richard J. Medford, Edward R. Melnick, Anoop N. Muniyappa, Sara G. Murray, Aaron Barak Neinstein, Victoria Nichols-Johnson, Laurie Lovett Novak, William Scott Ogan, Larry Ozeran, Natalie M. Pageler, Deepti Pandita, Ajay Perumbeti, Carolyn Petersen, Logan Pierce, Raghuveer Puttagunta, Priya Ramaswamy, Kendall M. Rogers, S Trent Rosenbloom, Angela Ryan, Sameh Saleh, Chethan Sarabu, Richard Schreiber, Kate A. Shaw, Ida Sim, S Joseph Sirintrapun, Anthony Solomonides, Jacob D. Spector, Justin B. Starren, Michelle Stoffel, Vignesh Subbian, Karl Swanson, Adrian Tomes, Karen Trang, Kim M. Unertl, Jenny L. Weon, Mary A. Whooley, Kevin Wiley, Drew F. K. Williamson, Peter Winkelstein, Jenson Wong, James Xie, Julia K. W. Yarahuan, Nathan Yung, Chloe Zera, Neda Ratanawongsa, Shobha Sadasivaiah

Publikováno v: Applied Clinical Informatics, 14(1), 164-171. Georg Thieme Verlag

n/a.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::576ae3f62ed694410fd917541c20d613
https://pubmed.ncbi.nlm.nih.gov/36535703

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OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification

Autor: Mackenzie R Hofford, Sean C Yu, Alistair E W Johnson, Albert M Lai, Philip R O Payne, Andrew P Michelson

Publikováno v: JAMIA Open. 5

EHR-based sepsis research often uses heterogeneous definitions of sepsis leading to poor generalizability and difficulty in comparing studies to each other. We have developed OpenSep, an open-source pipeline for sepsis phenotyping according to the Se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::895c08ca1f22da0113b309ac778f8e0d
https://doi.org/10.1093/jamiaopen/ooac105

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