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Nurse-in-the-Loop Smart Home Detection of Health Events Associated with Diagnosed Chronic Conditions: A Case-Event Series
Journal article   Open access   Peer reviewed

Nurse-in-the-Loop Smart Home Detection of Health Events Associated with Diagnosed Chronic Conditions: A Case-Event Series

Roschelle L Fritz, Katherine Wuestney, Gordana Dermody and Diane J Cook
International Journal of Nursing Studies Advances, Vol.4, pp.1-13
2022
DOI: https://doi.org/10.1016/j.ijnsa.2022.100081
PMCID: PMC9132470
PMID: 35642184
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Nurse-in-the-Loop Smart Home Detection of Health Events Associated with Diagnosed Chronic Conditions - A Case-Event Series2.74 MBDownloadView
Published Version Open Access CC BY-NC-ND V4.0
url
https://doi.org/10.1016/j.ijnsa.2022.100081View
Published Version

Abstract

Background: Telehealth and home-based care options significantly expanded during the SARS-CoV2 pandemic. Sophisticated, remote monitoring technologies now exist that support at-home care. Advances in the research of smart homes for health monitoring have shown these technologies are capable of recognizing and predicting health changes in near-real time. However, few nurses are familiar enough with this technology to use smart homes for optimizing patient care or expanding their reach into the home between healthcare touch points. Objective: The objective of this work is to explore a partnership between nurses and smart homes for automated remote monitoring and assessing of patient health. A series of health event cases is presented to demonstrate how this partnership may be harnessed to effectively detect and report on clinically relevant health events that can be automatically detected by smart homes. Participants: 25 participants with multiple chronic health conditions Methods: Ambient sensors were installed in the homes of 25 participants with multiple chronic health conditions. Motion, light, temperature, and door usage data were continuously collected from participants’ homes. Descriptions of health events and participants’ associated behaviors were captured via weekly nursing telehealth visits with study participants and used to analyze sensor data representing health events. Two cases of participants with congestive heart failure exacerbations, one case of urinary tract infection, two cases of bowel inflammation flares, and four cases of participants with sleep interruption were explored. Results: For each case, clinically relevant health events aligned with changes from baseline in behavior data patterns derived from sensors installed in the participant's home. In some cases, the detected event was precipitated by additional behavior patterns that could be used to predict the event. Conclusions: This case series provides evidence that continuous sensor-based monitoring of patient behavior in home settings may be used to provide automated detection of health events. Nursing insights into smart home sensor data could be used to initiate preventive strategies and provide timely intervention.

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Nursing

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#3 Good Health and Well-Being

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