Digital detection of dementia (D3): a study protocol for a pragmatic cluster-randomized trial examining the application of patient-reported outcomes and passive clinical decision support systems

Digital detection of dementia (D3): a study protocol for a pragmatic cluster-randomized trial examining the application of patient-reported outcomes and passive clinical decision support systems

Abstract Background Early detection of Alzheimer’s disease and related dementias (ADRD) in a primary care setting is challenging due to time constraints and stigma. The implementation of scalable, sustainable, and patient-driven processes may improve early detection of ADRD; however, there are compe...

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Bibliographic Details
Main Authors: Michael J. Kleiman, Abbi D. Plewes, Arthur Owora, Randall W. Grout, Paul Richard Dexter, Nicole R. Fowler, James E. Galvin, Zina Ben Miled, Malaz Boustani
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Trials
Subjects:
Alzheimer’s disease and related dementias
Electronic health records
Machine learning
Patient reported outcome
Clinical decision support
Online Access:https://doi.org/10.1186/s13063-022-06809-5

Internet

https://doi.org/10.1186/s13063-022-06809-5

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