A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals.

Journal: BMC medical informatics and decision making
Published Date: Apr 23, 2024

Abstract

BACKGROUND: This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absence of the necessary structured information in the official databases.

Authors

  • Vittorio Torri
    MOX - Modelling and Scientific Computing Lab, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy. vittorio.torri@polimi.it.
  • Michele Ercolanoni
    ARIA s.p.a - Azienda Regionale per l'Innovazione e gli Acquisti, Via Taramelli 26, Milan, 20124, Italy.
  • Francesco Bortolan
    U.O. Osservatorio Epidemiologico, DG Welfare, Regione Lombardia, Piazza Città di Lombardia 1, Milan, 20124, Italy.
  • Olivia Leoni
    U.O. Osservatorio Epidemiologico, DG Welfare, Regione Lombardia, Piazza Città di Lombardia 1, Milan, 20124, Italy.
  • Francesca Ieva
    MOX - Modelling and Scientific Computing Lab, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy.

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