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

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 proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018
Editors	Vasile Rus, Keith Brawner
Publisher	AAAI Press
Pages	305-310
Number of pages	6
ISBN (Electronic)	9781577357964
State	Published - 2018
Externally published	Yes
Event	31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018 - Melbourne, United States Duration: May 21 2018 → May 23 2018

Publication series

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

Conference

Conference	31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018
Country/Territory	United States
City	Melbourne
Period	05/21/18 → 05/23/18

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.

Gannod, Gerald C. ; Abbott, Katherine M. ; Van Haitsma, Kimberly et al. / Using machine learning to facilitate the delivery of person centered care in nursing homes. Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018. editor / Vasile Rus ; Keith Brawner. AAAI Press, 2018. pp. 305-310 (Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018).

@inproceedings{a98464d6410f4d8bbc5b3b52c91e6b7e,

title = "Using machine learning to facilitate the delivery of person centered care in nursing homes",

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.",

author = "Gannod, {Gerald C.} and Abbott, {Katherine M.} and {Van Haitsma}, Kimberly and Nathan Martindale and Jennings, {Rachel A.} and Long, {Chelsey N.}",

note = "Publisher Copyright: Copyright {\textcopyright} 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018 ; Conference date: 21-05-2018 Through 23-05-2018",

year = "2018",

language = "English",

series = "Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018",

publisher = "AAAI Press",

pages = "305--310",

editor = "Vasile Rus and Keith Brawner",

booktitle = "Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018",

}

Gannod, GC, Abbott, KM, Van Haitsma, K, Martindale, N, Jennings, RA & Long, CN 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. Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, AAAI Press, pp. 305-310, 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018, Melbourne, United States, 05/21/18.

Using machine learning to facilitate the delivery of person centered care in nursing homes. / Gannod, Gerald C.; Abbott, Katherine M.; Van Haitsma, Kimberly et al.
Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018. ed. / Vasile Rus; Keith Brawner. AAAI Press, 2018. p. 305-310 (Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using machine learning to facilitate the delivery of person centered care in nursing homes

AU - Gannod, Gerald C.

AU - Abbott, Katherine M.

AU - Van Haitsma, Kimberly

AU - Martindale, Nathan

AU - Jennings, Rachel A.

AU - Long, Chelsey N.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85071948904&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85071948904

T3 - Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

SP - 305

EP - 310

BT - Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

A2 - Rus, Vasile

A2 - Brawner, Keith

PB - AAAI Press

T2 - 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

Y2 - 21 May 2018 through 23 May 2018

ER -

Gannod GC, Abbott KM, Van Haitsma K, Martindale N, Jennings RA, Long CN. Using machine learning to facilitate the delivery of person centered care in nursing homes. In Rus V, Brawner K, editors, Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018. AAAI Press. 2018. p. 305-310. (Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018).

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

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this