TY  - JOUR
AU  - Lochhead, Chris
AU  - Fisher, Robert B
PY  - 2025
DA  - 2025/2/27
TI  - On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review
JO  - JMIR Hum Factors
SP  - e59458
VL  - 12
KW  - multi-disciplinarity
KW  - gait assessment
KW  - machine learning
KW  - at-home health monitoring
KW  - older adults
KW  - elderly
KW  - artificial intelligence
KW  - AI
KW  - gait
KW  - development
KW  - health monitoring
KW  - monitoring
KW  - systematic review
KW  - monitoring system
KW  - barriers
KW  - caregiver
KW  - efficiency
KW  - effectiveness
AB  - Background: The growth of aging populations globally has increased the demand for new models of care. At-home, computerized health care monitoring is a growing paradigm, which explores the possibility of reducing workloads, lowering the demand for resource-intensive secondary care, and providing more precise and personalized care. Despite the potential societal benefit of autonomous monitoring systems when implemented properly, uptake in health care institutions is slow, and a great volume of research across disciplines encounters similar common barriers to real-world implementation. Objective: The goal of this systematic review was to construct an evaluation framework that can assess research in terms of how well it addresses already identified barriers to application and then use that framework to analyze the literature across disciplines and identify trends between multidisciplinarity and the likelihood of research being developed robustly. Methods: This paper introduces a scoring framework for evaluating how well individual pieces of research address key development considerations using 10 identified common barriers to uptake found during meta-review from different disciplines across the domain of health care monitoring. A scoping review is then conducted using this framework to identify the impact that multidisciplinarity involvement has on the effective development of new monitoring technologies. Specifically, we use this framework to measure the relationship between the use of multidisciplinarity in research and the likelihood that a piece of research will be developed in a way that gives it genuine practical application. Results: We show that viewpoints of multidisciplinarity; namely across computer science and medicine alongside public and patient involvement (PPI) have a significant positive impact in addressing commonly encountered barriers to application research and development according to the evaluation criteria. Using our evaluation metric, multidisciplinary teams score on average 54.3% compared with 35% for teams made up of medical experts and social scientists, and 2.68 for technical-based teams, encompassing computer science and engineering. Also identified is the significant effect that involving either caregivers or end users in the research in a co-design or PPI-based capacity has on the evaluation score (29.3% without any input and between 48.3% and 36.7% for end user or caregiver input respectively, on average). Conclusions: This review recommends that, to limit the volume of novel research arbitrarily re-encountering the same issues in the limitations of their work and hence improve the efficiency and effectiveness of research, multidisciplinarity should be promoted as a priority to accelerate the rate of advancement in this field and encourage the development of more technology in this domain that can be of tangible societal benefit. 
SN  - 2292-9495
UR  - https://humanfactors.jmir.org/2025/1/e59458
UR  - https://doi.org/10.2196/59458
DO  - 10.2196/59458
ID  - info:doi/10.2196/59458
ER  -