A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place
Abstract
OBJECTIVES: To offer practical guidance to nurse investigators interested in multidisciplinary research that includes assisting in the development of artificial intelligence (AI) algorithms for "smart" health management and aging-in-place.
METHODS: Ten health-assistive Smart Homes were deployed to chronically ill older adults from 2015 to 2018. Data were collected using five sensor types (infrared motion, contact, light, temperature, and humidity). Nurses used telehealth and home visitation to collect health data and provide ground truth annotation for training intelligent algorithms using raw sensor data containing health events.
FINDINGS: Nurses assisting with the development of health-assistive AI may encounter unique challenges and opportunities. We recommend: (a) using a practical and consistent method for collecting field data, (b) using nurse-driven measures for data analytics, (c) multidisciplinary communication occur on an engineering-preferred platform.
CONCLUSIONS: Practical frameworks to guide nurse investigators integrating clinical data with sensor data for training machine learning algorithms may build capacity for nurses to make significant contributions to developing AI for health-assistive Smart Homes.
Document Type
Journal Article
ISSN
1528-3968
Volume
67
Issue
2
Funding Information
Funding information available at https://doi.org/10.1016/j.outlook.2018.11.004
PubMed ID
30551883
School
School of Nursing and Midwifery
RAS ID
28175
Copyright
subscription content
Publisher
Elsevier Inc
Comments
Fritz, R. L., & Dermody, G. (2019). A nurse-driven method for developing artificial intelligence in “smart” homes for aging-in-place. Nursing Outlook, 67(2), 140-153. Available here