Using machine learning to facilitate the delivery of person centered care in nursing homes

Gerald C. Gannod, Katherine M. Abbott, Kimberly Van Haitsma, Nathan Martindale, Rachel A. Jennings, Chelsey N. Long

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nursing home providers are moving towards a model of care that is person centered in order to improve the quality of care and quality of life for individuals residing in their communities. The State of Ohio has mandated that providers use the Preferences for Everyday Living Inventory (PELI) to assess resident preferences. This paper and pencil assessment adds to an increasing data management barrier to efficiently incorporate preferences into care. We are in the process of developing the Care Preference Assessment of Satisfaction or ComPASS system which supports data collection and reporting in order to better integrate preferences into the everyday care of residents. With this platform we are exploring how machine learning can be used to provide more personalized care in nursing homes by providing insights and recommendations based on resident preferences while lessening the data collection and management burden. In this paper, we describe ComPASS, discuss our initial investigations into using machine learning for long-term care, present initial findings, and suggest future directions for this research.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018
EditorsVasile Rus, Keith Brawner
PublisherAAAI press
Pages305-310
Number of pages6
ISBN (Electronic)9781577357964
StatePublished - Jan 1 2018
Event31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018 - Melbourne, United States
Duration: May 21 2018May 23 2018

Publication series

NameProceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

Conference

Conference31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018
CountryUnited States
CityMelbourne
Period5/21/185/23/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

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  • Cite this

    Gannod, G. C., Abbott, K. M., Van Haitsma, K., Martindale, N., Jennings, R. A., & Long, C. N. (2018). Using machine learning to facilitate the delivery of person centered care in nursing homes. In V. Rus, & K. Brawner (Eds.), Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018 (pp. 305-310). (Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018). AAAI press.