Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations: A Population-Based Cohort Study in Denmark.

Journal: Medical care
PMID: 36893408

Abstract

BACKGROUND: The increasing aging population and limited health care resources have placed new demands on the healthcare sector. Reducing the number of hospitalizations has become a political priority in many countries, and special focus has been directed at potentially preventable hospitalizations.

Authors

  • Anders Hammerich Riis
    Department of Research, Horsens Regional Hospital, Horsens, Denmark anderiis@rm.dk.
  • Pia Kjær Kristensen
    Department of Research, Horsens Regional Hospital, Horsens, Denmark.
  • Simon Meyer Lauritsen
    Enversion A/S, Fiskerivej 12, 8000 Aarhus C, Denmark; Department of Clinical Medicine, Aarhus University, Denmark. Electronic address: sla@enversion.dk.
  • Bo Thiesson
    Enversion A/S, Fiskerivej 12, 8000 Aarhus C, Denmark; Department of Engineering, Aarhus University School of Engineering, Denmark.
  • Marianne Johansson Jørgensen
    Department of Research, Horsens Regional Hospital, Denmark.

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