Leveraging machine learning to enhance appointment adherence at a novel post-discharge care transition clinic.

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Bibliographic Details
Title: Leveraging machine learning to enhance appointment adherence at a novel post-discharge care transition clinic.
Authors: Lee SY; Department of Health Services Administration, The University of Alabama at Birmingham, Birmingham, AL 35233, United States., Eagleson RM; Center for Outcomes and Effectiveness Research and Education, The University of Alabama at Birmingham, Birmingham, AL 35233, United States., Hearld LR; Department of Health Services Administration, The University of Alabama at Birmingham, Birmingham, AL 35233, United States., Gibson MJ; Center for Outcomes and Effectiveness Research and Education, The University of Alabama at Birmingham, Birmingham, AL 35233, United States., Hearld KR; Department of Health Services Administration, The University of Alabama at Birmingham, Birmingham, AL 35233, United States., Hall AG; Department of Health Services Administration, The University of Alabama at Birmingham, Birmingham, AL 35233, United States., Burkholder GA; Department of Medicine, The University of Alabama at Birmingham, Birmingham, AL 35294, United States., McMahon J; College of Science and Mathematics, Auburn University, Auburn, AL 36849, United States., Mahmood SY; UAB Medicine, Birmingham, AL 35233, United States., Spraberry CT; UAB Medicine, Birmingham, AL 35233, United States., Baker TJ; UAB Medicine, Birmingham, AL 35233, United States., Garretson AR; UAB Medicine, Birmingham, AL 35233, United States., Bradley HM; Cooper Green Mercy Health Services Authority, Birmingham, AL 35233, United States., Mugavero MJ; Center for Outcomes and Effectiveness Research and Education, The University of Alabama at Birmingham, Birmingham, AL 35233, United States.
Source: JAMIA open [JAMIA Open] 2024 Nov 09; Vol. 7 (4), pp. ooae086. Date of Electronic Publication: 2024 Nov 09 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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