Using Natural Language Processing to Improve Fall Documentation in VA Nursing Home Residents.

Key Points

• This research aims to enhance the accuracy of fall documentation in nursing home residents by using natural language processing (NLP).
• Utilized MDS (Minimum Data Set) for initial fall identification.
• Implemented natural language processing techniques to supplement MDS data.
• Analyzed the effectiveness of NLP in providing specific fall dates.
• Identified that 86% of residents had electronic health records (EHR) documentation of falls.
• Found that NLP improved the sensitivity of fall detection.
• Gained more precise data regarding the timing of falls.