AI-powered solutions for accessible, efficient, and patient-centred healthcare and mental wellbeing
Healthy Futures: Data-Driven Innovations in Healthcare
Presented by
Sponsored by
Open Innovation Partner
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This challenge is tied to the united nations’ sustainable development goals:
Background
Canada’s healthcare system faces persistent challenges: long wait times, uneven service distribution (particularly in rural and remote areas), and limited access to mental health care. The COVID-19 pandemic underscored systemic inefficiencies and highlighted the need for innovative, technology-driven solutions that prioritize patient wellbeing.
Key Issues:
- Extended wait times and resource allocation inefficiencies lead to delayed or suboptimal care.
- Gaps in mental health services, especially in under-resourced communities.
- Lack of proactive, preventive care models that reduce chronic disease burdens and emergency care reliance.
Challenge as part of Cooperathon 2025
How can we leverage AI, data analytics, and innovative technologies to improve access, efficiency, and patient outcomes within Canada’s healthcare system, including mental health services, ultimately fostering a healthier population?
Goals
Desired outcomes:
- Expanded Access via Telehealth & AI: Develop AI-enabled telemedicine solutions that reduce wait times and bring care closer to patients, including mental health support.
- Optimized Resource Allocation: Use data-driven triage and scheduling to improve hospital/clinic workflows, reducing bottlenecks and critical delays.
- Proactive, Preventive Care: Implement predictive analytics to identify at-risk populations, support chronic disease management, and encourage early interventions
Stakeholders & Target Audiences
- Healthcare Providers (Doctors, Nurses, Specialists, ): Seeking to streamline workflows, triage, and care delivery.
- Patients & Communities (Urban, Rural, Remote): Especially those in need of timely, high-quality, and mental health-focused services.
- Health-Tech Startups & Researchers: Innovators looking to apply data analytics and AI to solve healthcare access and quality challenges.
Scope & Constraints
- Geographic Focus: Canadian healthcare settings (urban centers, rural and remote regions).
- Solution Stage: Early-stage concepts through proof-of-concept prototypes that demonstrate feasibility and readiness for pilot testing.
- Considerations:
- Compliance with healthcare regulations (e.g., privacy laws, PHIPA, PIPEDA).
- Ethical and secure data handling, ensuring patient confidentiality.
- Accessibility and cultural sensitivity, addressing diverse patient demographics.
Prize(s)
- 1st Prize: $5,000 (minimum)
Solution scope
- Wait Time Reduction: Measurable decrease in patient wait times for specific services or appointments.
- Improved Mental Health Access: Demonstrated increase in availability of mental health consultations or support services.
- Feasibility & Pilot-Ready: A clear implementation plan for a pilot program within a Canadian healthcare setting, plus initial interest from relevant healthcare stakeholders.
Confidentiality
All details relating to technologies, innovations or methods submitted to Cooperathon will remain strictly confidential, unless otherwise indicated.