This paper is in the following e-collection/theme issue:

New Methods (1134) Safety and Error Prevention in Health (240) Natural Language Processing (917)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19064, first published .
Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

Authors of this article:

Iris Hendrickx1 Author Orcid Image ;   Tim Voets1 Author Orcid Image ;   Pieter van Dyk2 Author Orcid Image ;   Rudolf B Kool3 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

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  2. Van Olmen J, Van Nooten J, Philips H, Sollie A, Daelemans W. Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study. JMIR Medical Informatics 2022;10(4):e37771 View
  3. Park Y, Park S, Lee M. Analyzing Community Care Research Trends Using Text Mining. Journal of Multidisciplinary Healthcare 2022;Volume 15:1493 View
  4. Baker J, White K, Redley B. Consumer compliments about nursing and midwifery care: A 12‐month retrospective analysis. Journal of Advanced Nursing 2023;79(12):4804 View
  5. De Micco F, Di Palma G, Ferorelli D, De Benedictis A, Tomassini L, Tambone V, Cingolani M, Scendoni R. Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review. Frontiers in Medicine 2025;11 View
  6. Hansen S, Clausen M, Hansen N, Eriksen M, Sørensen A, Bogh S, Birkeland S, Morsø L. From complaint material to quality improvement: Exploring the use of patient complaints or compensation claims in quality improvement initiatives—a scoping review. BMJ Quality & Safety 2025:bmjqs-2025-018780 View
  7. Qiu L, Tang C, Bi X, Burtch G, Chen Y, Zhang H. Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data. Journal of Medical Internet Research 2025;27:e76941 View
  8. Kwon Y, Namgung M, Park S, Kim M, Choi J, Jeong D, Kim C. Stage-specific harm in early-stage hospitals in South Korea: a retrospective analysis using the healthcare complaints analysis tool. BMJ Open 2025;15(8):e102802 View

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