Decision support from local data: Creating adaptive order menus from past clinician behavior
Objective Reducing care variability through guidelines has significantly benefited patients. Nonetheless, guideline-based Clinical Decision Support (CDS) systems are not widely implemented or used, are frequently out-of-date, and cannot address complex care for which guidelines do not exist. Here, w...
Main Authors: | Klann, Jeffrey G. (Author), Szolovits, Peter (Contributor), Downs, Stephen M. (Author), Schadow, Gunther (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Elsevier,
2016-02-02T13:06:38Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Comparing static, adaptable, and adaptive menus
by: Findlater, Leah K.
Published: (2009) -
Comparing static, adaptable, and adaptive menus
by: Findlater, Leah K.
Published: (2009) -
Seed Menus: An integrated decision-support framework for native plant restoration in the Mojave Desert
by: DeFalco, L.A, et al.
Published: (2022) -
Choice Overload and Height Ranking of Menus in Partially-Ordered Sets
by: Marcello Basili, et al.
Published: (2015-10-01) -
An Intelligent Listening Framework for Capturing Encounter Notes from a Doctor-Patient Dialog
by: Klann, Jeffrey G., et al.
Published: (2010)