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pro vyhledávání: '"Kate Horle"'
Autor:
Kenneth A. Scott, Sara Deakyne Davies, Rachel Zucker, Toan Ong, Emily McCormick Kraus, Michael G Kahn, Jessica Bondy, Matt F. Daley, Kate Horle, Emily Bacon, Lisa Schilling, Tessa Crume, Romana Hasnain‐Wynia, Seth Foldy, Gregory Budney, Arthur J. Davidson
Publikováno v:
Learning Health Systems, Vol 6, Iss 3, Pp n/a-n/a (2022)
Abstract Introduction Learning health systems can help estimate chronic disease prevalence through distributed data networks (DDNs). Concerns remain about bias introduced to DDN prevalence estimates when individuals seeking care across systems are co
Externí odkaz:
https://doaj.org/article/6bf26079e3f94b508ec0b2f4f27f417b
Autor:
Arthur J. Davidson, Emily McCormick Kraus, Emily Bacon, Romana Hasnain-Wynia, Kenneth A. Scott, Rachel Zucker, Kate Horle, Lisa M. Schilling, Jessica Bondy, Seth Foldy, Matt F. Daley, Toan C. Ong, Sara J. Deakyne Davies, Gregory Budney, Tessa L. Crume, Michael G. Kahn
Publikováno v:
Learning Health Systems. 6
Learning health systems can help estimate chronic disease prevalence through distributed data networks (DDNs). Concerns remain about bias introduced to DDN prevalence estimates when individuals seeking care across systems are counted multiple times.