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Impact of an Artificial Intelligence-Based Solution on Clinicians’ Clinical Documentation Experience: Initial Findings Using Ambient Listening Technology

Crossref DOI link: https://doi.org/10.1007/s11606-024-08924-2

Published Online: 2024-07-09

Published Print: 2024-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Galloway, J. Luke

Munroe, Dominique

Vohra-Khullar, Pamela D.

Holland, Christopher

Solis, Mary A.

Moore, Miranda A.

Dbouk, Reema H. https://orcid.org/0009-0006-5492-0314
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Text and Data Mining valid from 2024-07-09

Version of Record valid from 2024-07-09
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Article History

Received: 11 April 2024

Accepted: 26 June 2024

First Online: 9 July 2024

Declarations:

:

: This study was conducted according to the guidelines in the Declaration of Helsinki and was deemed to not be human subject research by the [Institution] Institution Review Board on 1/15/2024.

: The authors declare that they do not have a conflict of interest.

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