Using Hospital Admission Predictions at Triage for Improving Patient Length of Stay in Emergency Departments

• Wanyi Chen

  Wanyi Chen

  [email protected]

  https://orcid.org/0000-0001-8523-1032

  Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02140;

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  ,
• Nilay Tanik Argon

  Corresponding Author

  Nilay Tanik Argon

  [email protected]

  https://orcid.org/0000-0002-6814-0849

  Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, North Carolina 27599;

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  ,
• Tommy Bohrmann

  Tommy Bohrmann

  [email protected]

  Analytical Partners Consulting LLC, Research Triangle Park, North Carolina 27709;

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  ,
• Benjamin Linthicum

  Benjamin Linthicum

  [email protected]

  https://orcid.org/0000-0003-4322-7662

  School of Medicine, University of North Carolina, Chapel Hill, North Carolina 27599;

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  ,
• Kenneth Lopiano

  Kenneth Lopiano

  [email protected]

  Roundtable Analytics, Inc., Research Triangle Park, North Carolina 27709;

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  ,
• Abhishek Mehrotra

  Abhishek Mehrotra

  [email protected]

  https://orcid.org/0000-0002-9119-831X

  School of Medicine, University of North Carolina, Chapel Hill, North Carolina 27599;

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  ,
• Debbie Travers

  Debbie Travers

  [email protected]

  https://orcid.org/0000-0002-5656-8610

  School of Nursing, Duke University, Durham, North Carolina 27710

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  ,
• Serhan Ziya

  Serhan Ziya

  [email protected]

  https://orcid.org/0000-0003-1558-6051

  Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, North Carolina 27599;

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