Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses

Lorenzo James; Laura Genga; Barbara Montagne; Muriel Hagenaars; Pieter Van Gorp

doi:10.1145/3652037.3663955

Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses

Lorenzo James, Laura Genga, Barbara Montagne, Muriel Hagenaars, Pieter Van Gorp

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

1 Citation (Scopus)

92 Downloads (Pure)

Abstract

The potential of LLMs to generate context-specific content for psychiatric patients could possibly be used to support treatment. Patients diagnosed with Severe Mental Illnesses face a significant challenge in the realm of goal setting. Caregivers work closely with patients with SMI to establish treatment goals. However, most goals are often immeasurable, hindering their integration into mHealth. This is a missed opportunity since mHealth has the potential to aid healthcare professionals in tracking a patient's progress and help motivate patients to work on their goals using behavior change concepts like personalization and gamification. Recognizing the time-consuming nature of creating measurable goals. This study validates an LLM-powered goal system aiming to provide a time-efficient way of goal creation for patients with SMI, on the quality of the goals it generates in collaboration with caregivers.

Original language	English
Title of host publication	PETRA '24
Subtitle of host publication	Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
Editors	Enamul Karim, Sama Nikanfar, Hamza Reza Pavel
Publisher	Association for Computing Machinery, Inc.
Pages	187-190
Number of pages	4
ISBN (Electronic)	979-8-4007-1760-4
DOIs	https://doi.org/10.1145/3652037.3663955
Publication status	Published - 26 Jun 2024
Event	17th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2024 - Creta, Greece Duration: 26 Jun 2024 → 28 Jun 2024

Conference

Conference	17th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2024
Abbreviated title	PETRA 2024
Country/Territory	Greece
City	Creta
Period	26/06/24 → 28/06/24

Keywords

Behavior change
Gamification
Goal generation
LLM
SMI
mHealth

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1145/3652037.3663955

FinalAuthorVersionFinal author version , 423 KB
pdfFinal published version, 459 KBLicence: CC BY

Cite this

James, L., Genga, L., Montagne, B., Hagenaars, M., & Van Gorp, P. (2024). Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. In E. Karim, S. Nikanfar, & H. R. Pavel (Eds.), PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 187-190). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3652037.3663955

James, Lorenzo ; Genga, Laura ; Montagne, Barbara et al. / Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. editor / Enamul Karim ; Sama Nikanfar ; Hamza Reza Pavel. Association for Computing Machinery, Inc., 2024. pp. 187-190

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abstract = "The potential of LLMs to generate context-specific content for psychiatric patients could possibly be used to support treatment. Patients diagnosed with Severe Mental Illnesses face a significant challenge in the realm of goal setting. Caregivers work closely with patients with SMI to establish treatment goals. However, most goals are often immeasurable, hindering their integration into mHealth. This is a missed opportunity since mHealth has the potential to aid healthcare professionals in tracking a patient's progress and help motivate patients to work on their goals using behavior change concepts like personalization and gamification. Recognizing the time-consuming nature of creating measurable goals. This study validates an LLM-powered goal system aiming to provide a time-efficient way of goal creation for patients with SMI, on the quality of the goals it generates in collaboration with caregivers.",

keywords = "Behavior change, Gamification, Goal generation, LLM, SMI, mHealth",

author = "Lorenzo James and Laura Genga and Barbara Montagne and Muriel Hagenaars and \{Van Gorp\}, Pieter",

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James, L , Genga, L, Montagne, B, Hagenaars, M & Van Gorp, P 2024, Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. in E Karim, S Nikanfar & HR Pavel (eds), PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. Association for Computing Machinery, Inc., pp. 187-190, 17th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2024, Creta, Greece, 26/06/24. https://doi.org/10.1145/3652037.3663955

Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. / James, Lorenzo ; Genga, Laura; Montagne, Barbara et al.
PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. ed. / Enamul Karim; Sama Nikanfar; Hamza Reza Pavel. Association for Computing Machinery, Inc., 2024. p. 187-190.

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

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PY - 2024/6/26

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AB - The potential of LLMs to generate context-specific content for psychiatric patients could possibly be used to support treatment. Patients diagnosed with Severe Mental Illnesses face a significant challenge in the realm of goal setting. Caregivers work closely with patients with SMI to establish treatment goals. However, most goals are often immeasurable, hindering their integration into mHealth. This is a missed opportunity since mHealth has the potential to aid healthcare professionals in tracking a patient's progress and help motivate patients to work on their goals using behavior change concepts like personalization and gamification. Recognizing the time-consuming nature of creating measurable goals. This study validates an LLM-powered goal system aiming to provide a time-efficient way of goal creation for patients with SMI, on the quality of the goals it generates in collaboration with caregivers.

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James L , Genga L, Montagne B, Hagenaars M, Van Gorp P. Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. In Karim E, Nikanfar S, Pavel HR, editors, PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. Association for Computing Machinery, Inc. 2024. p. 187-190 doi: 10.1145/3652037.3663955

Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses

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Keywords

UN SDGs

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