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

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

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) ca...

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Bibliographic Details
Main Authors: Marieke M. van Buchem, Olaf M. Neve, Ilse M. J. Kant, Ewout W. Steyerberg, Hileen Boosman, Erik F. Hensen
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Natural language processing
Sentiment analysis
Unsupervised machine learning
Patient satisfaction
Patient-centered care
Online Access:https://doi.org/10.1186/s12911-022-01923-5

Internet

https://doi.org/10.1186/s12911-022-01923-5

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