A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents

May 21, 2018

Authors

  • Gerald C. Gannod
  • Katherine Abbott
  • Kimberly Van Haitsma
  • Nathan Martindale
  • Alexandra Heppner

Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the assessment. With a sample of 255 NH resident responses to the PELI-NH, this study used the 16 preference items from the MDS 3.0 Section F to develop a machine learning recommender system to identify additional PELI-NH items that may be important to specific residents

 

Topics

  • Long-Term Care Facilities
  • Long-Term Care - Other