Dynamic readmission prediction using routine postoperative laboratory results after radical cystectomy.

Journal: Urologic oncology
Published Date:

Abstract

OBJECTIVE: To determine if the addition of electronic health record data enables better risk stratification and readmission prediction after radical cystectomy. Despite efforts to reduce their frequency and severity, complications and readmissions following radical cystectomy remain common. Leveraging readily available, dynamic information such as laboratory results may allow for improved prediction and targeted interventions for patients at risk of readmission.

Authors

  • Peter S Kirk
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Xiang Liu
    College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Anhui Jianzhu University, Hefei 230009, China.
  • Tudor Borza
    Department of Urology, University of Wisconsin, Madison, WI.
  • Benjamin Y Li
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Michael Sessine
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Kevin Zhu
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Opal Lesse
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Yongmei Qin
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Bruce Jacobs
    Department of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
  • Ken Urish
    Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA.
  • Jonathan Helm
    W.P. Carey School of Business, Arizona State University, Tempe, AZ.
  • Scott Gilbert
    Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL.
  • Alon Weizer
    Department of Urology, Comprehensive Cancer Center, The University of Michigan, Ann Arbor, MI, 48109, USA.
  • Jeffrey Montgomery
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Brent K Hollenbeck
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Mariel Lavieri
    Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.
  • Ted A Skolarus
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI; VA Health Services Research and Development, Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI. Electronic address: tskolar@med.umich.edu.