Scalable Coaching and Appreciation Feedback for Optimal Learning and Decision-Making (SCAFFOLD).

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Title: Scalable Coaching and Appreciation Feedback for Optimal Learning and Decision-Making (SCAFFOLD).
Authors: Landis-Lewis Z; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA., Boisvert P; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA., Seifi F; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA., Renji AD; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA., Cao Y; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA., Chung H; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA., Janda A; Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA., Shah N; Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA., Flynn A; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 431-435.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Scalable Coaching and Appreciation Feedback for Optimal Learning and Decision-Making (SCAFFOLD).
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  Data: <searchLink fieldCode="AU" term="%22Landis-Lewis+Z%22">Landis-Lewis Z</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Boisvert+P%22">Boisvert P</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Seifi+F%22">Seifi F</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Renji+AD%22">Renji AD</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Cao+Y%22">Cao Y</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Chung+H%22">Chung H</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Janda+A%22">Janda A</searchLink>; Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Shah+N%22">Shah N</searchLink>; Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Flynn+A%22">Flynn A</searchLink>; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
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  Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 431-435.
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        Value: 10.3233/SHTI250876
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              M: 08
              Text: 2025 Aug 07
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              Y: 2025
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