This project is part of second cohort of envisAGE funded collaborative innovations and will rank among the largest real-world evaluations of predictive AI monitoring in Canadian homecare to date
Hamilton & Toronto, Ontario – April 14th, 2026 — CHAH Technology, Stay at Home Nursing (SAHN), and the McMaster Institute for Research on Aging (MIRA) announced today the launch of a major 18-month collaborative research project—supported by envisAGE and co-lead MEDTEQ+ and AGE-WELL and funded by Canada’s Strategic Response Fund—to evaluate the feasibility and impact of AI-powered predictive homecare technology for older adults living at home across Ontario.
This multidisciplinary initiative will recruit up to 500 homecare clients to investigate the capacity of an AI-Powered Homecare Model to reduce hospitalizations, falls and other adverse events for Canadians healing and aging at home. It represents one of the largest real-world evaluations of predictive AI monitoring in homecare and will generate the evidence base required to begin assessing broad healthcare, social, and economic impacts.
The technology at the center of this study, CHAH AI Care, integrates continuous in-home monitoring, predictive analytics, and coordinated clinical response. Unlike traditional reactive homecare, the system is designed to identify subtle changes in mobility, cognition, and behavior before health crises occur — enabling earlier, more effective interventions by frontline care teams.
“Canada’s healthcare system is facing immense demographic pressure. This project allows us to rigorously evaluate a shift from reactive homecare to predictive, data-informed care. We believe the home must become an intelligent extension of the healthcare system — and this collaboration ensures we are building that future on evidence, not assumption.”
— Robert Stanley, Founder & CEO, CHAH Technology and Stay at Home Nursing
Stay at Home Nursing will serve as the Community Lab for the project, integrating the technology directly into its existing care model and workforce. With more than 350 active clients, over 220 nurses and personal support workers, and 250,000+ hours of care delivered annually across Southern Ontario, SAHN provides a robust real-world environment to test how predictive monitoring interacts with frontline clinical practice.
“This project is about more than technology. It’s about giving nurses and personal support workers better tools to act earlier and more confidently. We are embedding this evaluation directly into our care workflows so we can measure not only detection accuracy, but real clinical response and its impact on clients and caregivers.”
— Cindy English, VP of Operations, Stay at Home Nursing
MIRA will lead the independent evaluation of the project, including population characterization, technology acceptability research, and benchmarking of detection accuracy against research-grade monitoring systems within McMaster’s SHAPE smart home facility.
“Rigorous evaluation is essential when introducing AI into healthcare settings. This collaboration brings together technology innovation, frontline care delivery, and research expertise to assess whether predictive monitoring can be safely, ethically, and effectively integrated into aging-in-place strategies — and to generate the evidence that will determine how these tools should be adopted at scale.”
— Louise Lafortune lead project investigator, McMaster Institute for Research on Aging
Through targeted funding and ecosystem support, envisAGE strengthens the scientific robustness of the project while extending its reach across Canada.
“This project exemplifies the kind of cross-sector collaboration supported by envisAGE. By bringing together an SME, a Community Lab, and a Beachhead, we are catalyzing real-world testing of innovations that have the potential to improve the autonomy, safety, and quality of life of older adults and caregivers.”
— Sabrina Boutin, Executive Director of envisAGE and Vice President of Strategy and Global Partnerships, MEDTEQ+
What the Study Will Evaluate
Over 18 months, the research team will collect data across four key areas:
- Detection reliability for falls, wandering, and infection risk;
- Acceptability of in-home AI monitoring among older adults and their caregivers;
- Feasibility of integrating predictive alerts into existing homecare workflows;
- Data collection needed for a future large-scale economic and social impact evaluation.
The study will also benchmark CHAH AI Care’s performance against research-grade sensor systems at McMaster’s SHAPE facility — an instrumented smart home environment — to validate detection accuracy under controlled conditions before broader deployment.
As Canada’s population ages rapidly — with the 85+ cohort projected to triple by 2050 — the partners believe that validated, AI-enabled homecare models represent a critical lever for reducing avoidable hospitalizations, extending independent living, and alleviating the growing strain on Canada’s healthcare infrastructure. This study is a foundational step toward making that vision a reality.
About envisAGE
MEDTEQ+, a leader in accelerating innovations and supporting entrepreneurs in the Canadian MedTech industry, and AGE-WELL, Canada’s leading research and innovation network in AgeTech, have joined forces as co-leads in envisAGE. This large-scale pan-Canadian five-year initiative brings stakeholders together to provide resources and support to small and medium-sized enterprises (SMEs) to integrate technologies that address the challenges of aging and build Canadian leadership in the AgeTech market. The envisAGE initiative is funded through the Government of Canada’s Strategic Response Fund, with additional contributions from the Government of Quebec, industry, non-profits and other partners. To learn more about envisAGE visit: www.envis-age.ca
About CHAH Technology
CHAH Technology (chah.ai) is a Canadian health technology company building AI-powered Comprehensive Healthcare at Home. Its flagship CHAH AI Care platform integrates predictive analytics, edge-based monitoring, and coordinated clinical response to detect, predict, and prevent adverse health events — enabling proactive, personalized care for seniors and individuals aging at home. Founded in 2024 and headquartered in Ontario, CHAH Technology is a sister company to Stay at Home Nursing and has been co-created from the ground up to address the realities of frontline homecare delivery. To learn more about CHAH Technology visit: www.chah.ai
About Stay at Home Nursing
Founded in 2017, Stay at Home Nursing (stayathomenursing.com) is one of Canada’s fastest-growing homecare providers, delivering personal support and nursing care across Toronto and Southern Ontario. Fully accredited by Accreditation Canada with Commendation status, SAHN holds a provincial Ontario Health homecare contract serviced by over 220 field staff supporting more than 350 clients. SAHN works closely with its sister company CHAH Technology and is committed to innovative, person-centered care at scale. To learn more about Stay At Home Nursing please visit: www.stayathomenursing.com
About the McMaster Institute for Research on Aging (MIRA)
MIRA (mira.mcmaster.ca) works to optimize the health and longevity of Canada’s aging population through leading-edge research, education, community engagement and knowledge mobilization. A network of over 200 researchers from 51 departments and schools at McMaster University, MIRA brings together interdisciplinary expertise to generate aging research with real-world impact. To learn more about the MIRA please visit: https://mira.mcmaster.ca/mira-envisage-beachhead/
Media Contacts
Katherine Tascón-Acosta: Marketing Manager, Stay at Home Nursing
Katherine.Acosta@stayathomenursing.com
Tel: 647-510-8260
Darryl Dickens: CMO / CDIR, CHAH Technology / Stay at Home Nursing
Darryl@chah.ai
