Using text mining techniques to identify health care providers with patient safety problems: exploratory study.
Prioritization of patient complaints allows inspectors to follow up more quickly on those that pose the most severe safety risk. Using text mining and sentiment analysis, more than 22,000 patient complaints were assigned a severity category. The ‘bag-of-words representation’ was most successful for severity predicting and could be used to triage patient complaints.