Highlights
- •Nurses make significant contributions to artificial intelligence (AI) development
- •Nurse-driven AI may facilitate aging-in-place with smart homes
- •Nurses need practical methods for working with AI development for healthcare
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.
Keywords
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Article info
Publication history
Published online: November 22, 2018
Accepted:
November 16,
2018
Received in revised form:
October 29,
2018
Received:
August 4,
2018
Footnotes
Conflict of interest: No conflict of interest has been declared by the authors.
The authors intend to copyright the Fritz Method.
Identification
Copyright
Published by Elsevier Inc.
