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

Journal: The Gerontologist

Published Date: Jan 9, 2019

Abstract

BACKGROUND AND OBJECTIVES: 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 (72) to be a barrier to using the assessment.

Authors

Gerald C Gannod

Department of Computer Science, Tennessee Technological University, Cookeville.
Katherine M Abbott

Department of Sociology and Gerontology, Miami University, Oxford, Ohio.
Kimberly Van Haitsma

College of Nursing, Penn State University, University Park, Pennsylvania.
Nathan Martindale

Department of Computer Science, Tennessee Technological University, Cookeville.
Alexandra Heppner

Scripps Gerontology Center, Miami University, Oxford, Ohio.

Keywords

Humans Interviews as Topic Logistic Models Long-Term Care Machine Learning Nursing Homes Patient Preference Patient-Centered Care Qualitative Research Quality of Health Care United States

External Resources

View on PubMed Access via DOI PubMed (29790930)

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

Abstract

Authors

Keywords

External Resources

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