Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM).

Journal: BMC medical informatics and decision making
Published Date: Jul 15, 2022

Abstract

BACKGROUND: Evaluating patients' experiences is essential when incorporating the patients' perspective in improving healthcare. Experiences are mainly collected using closed-ended questions, although the value of open-ended questions is widely recognized. Natural language processing (NLP) can automate the analysis of open-ended questions for an efficient approach to patient-centeredness.

Authors

  • Marieke M van Buchem
    Information Technology & Digital Innovation Department, Leiden University Medical Center, Leiden, the Netherlands. m.m.van_buchem@lumc.nl.
  • Olaf M Neve
    Department of Otorhinolaryngology and Head and Neck Surgery, Leiden University Medical Center, Leiden, the Netherlands.
  • Ilse M J Kant
    Information Technology & Digital Innovation Department, Leiden University Medical Center, Leiden, the Netherlands.
  • Ewout W Steyerberg
    Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA The Netherlands.
  • Hileen Boosman
    Department of Quality and Patient Safety, Leiden University Medical Center, Leiden, The Netherlands.
  • Erik F Hensen
    Department of Otorhinolaryngology and Head and Neck Surgery, Leiden University Medical Center, Leiden, the Netherlands.

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