Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care

As the US population ages, a growing challenge is placing hospital patients who require long-term post-acute care into adult foster care facilities: small long-term nursing facilities that care for those unable to age in place because their care requirements exceed what can be delivered at home. A key challenge in patient placement is the dynamic matching process between hospital discharge coordinators looking to place patients and facilities looking for residents. We designed, built, deployed, and maintain a system to support decision making among a team of six discharge coordinators assisting in the discharge of 127 patients across 1,047 facilities in Hawai'i. Our system collects vacancy and capability data from facilities via conversational SMS and processes it to recommend facilities that discharge coordinators might contact. Findings from a 14-month deployment provide evidence for how timely, accurate information positively impacts matching efficacy. We close with lessons learned for information collection systems and provisioning platforms in similar contexts.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-05-02
DOI
https://doi.org/10.1145/3710983
Citations
1
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
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article

Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care

A Wroe, Vince Bartle, Nicola Dell, Arran Shearer et al.
1 citations
Proceedings of the ACM on Human-Computer Interaction
ICT in Developing Communities
article

Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care

A Wroe, Vince Bartle, Nicola Dell, Arran Shearer, Nikhil Garg
article en
1 citations

Abstract

As the US population ages, a growing challenge is placing hospital patients who require long-term post-acute care into adult foster care facilities: small long-term nursing facilities that care for those unable to age in place because their care requirements exceed what can be delivered at home. A key challenge in patient placement is the dynamic matching process between hospital discharge coordinators looking to place patients and facilities looking for residents. We designed, built, deployed, and maintain a system to support decision making among a team of six discharge coordinators assisting in the discharge of 127 patients across 1,047 facilities in Hawai'i. Our system collects vacancy and capability data from facilities via conversational SMS and processes it to recommend facilities that discharge coordinators might contact. Findings from a 14-month deployment provide evidence for how timely, accurate information positively impacts matching efficacy. We close with lessons learned for information collection systems and provisioning platforms in similar contexts.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
Cornell University (US), Queen's Medical Center (US), Jacobs Institute (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 87%
ICT in Developing Communities
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Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care — A Wroe, Vince Bartle, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS