Holistic Research Canada is proud to support the 10th Digital Mental Health Global Congress (eMHIC25), where global leaders gather to shape the future of mental health care. As digital assessment tools and artificial intelligence continue to become central to mental health delivery, our mission is to ensure that these innovations are fair, effective, and accessible to all.
Our Commitment in Practice
At Holistic Research Canada, we look beyond traditional symptom checklists and standard one-size-fits-all models. Our Therapy Outcome Monitoring Systems (TOMS) leverage predictive analytics and artificial intelligence to provide real-time, actionable insights for both patients and care providers. These systems not only foster multilingual engagement and collaboration across disciplines but also empower individuals to play an active role in their mental health care.
Join us as we delve into strategies for reimagining digital assessments in order to bridge gaps and fulfill the promise of mental health equity worldwide.In our session.
We will explore:
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How existing biases in AI and standardized measures perpetuate inequities
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The criticality of data inclusivity and user engagement in developing effective solutions
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Innovative approaches for designing ethical, inclusive, and accessible AI for mental health.
Session Details:
S4.8: Virtual Speakers
📅 Thursday, 2025-11-20
🕒 11:15 a.m. – 12:45 p.m. (EST)
👉 now live
Explore Our Resources
All resources below are authored by Cindy Hansen, an internationally recognized leader in digital mental health and ethical AI. As the founding Clinical Director at MyOutcomes, Cindy Hansen played a key role in expanding digital outcome monitoring systems worldwide, recognized by organizations such as SAMHSA and the NHS. We welcome your feedback and thoughts. If you are interested in collaborating or exploring further research, please reach out.
Foundational Concepts & Equity
Hansen, C. (2025). Ethical AI in mental health: Why Canada is poised to lead the global landscape. LinkedIn.
This article examines Canada’s potential to become a global leader in ethical AI within the mental health sector. Hansen focuses on the critical importance of transparency, reducing bias, and establishing strong governance frameworks to ensure that digital health systems deliver equitable care.
Hansen, C. (2025). Feedback-informed treatment: Therapist attitudes and the equity equation. Holistic Research Canada Blog.
Hansen explores therapists’ perspectives on Feedback-Informed Treatment (FIT) and highlights how outcome monitoring can be leveraged to reduce inequities in mental health care delivery.
Hansen, C. (2025). Prioritizing human-centred AI in Canadian mental health and substance use treatment. Academia.edu.
This academic work advocates for the adoption of human-centred AI design in Canadian mental health systems. Hansen outlines governance principles and ethical considerations that should guide technology adoption in this context.
Hansen, C. (2024). Decoding AI ethics in mental health: A journey into the future of therapy. Holistic Research Canada Blog.
Hansen addresses the ethical challenges involved in integrating AI into therapeutic contexts, offering practical strategies to balance innovation with patient safety and cultural sensitivity.
Feedback-Informed Treatment & Outcome Monitoring
Hansen, C. (2025). Enhancing mental health outcomes through patient reported outcome measures. Holistic Research Canada Blog.
This blog post explains how patient-reported outcome measures (PROMs) can be used to improve treatment quality and foster greater client engagement in mental health care.
Hansen, C. (2024). Outcome informed practices and clinical leadership: Looking ahead. Holistic Research Canada Blog.
Hansen discusses leadership strategies for implementing outcome-informed practices, underscoring the role of data-driven decision-making in clinical mental health settings.
Hansen, C. (2024). Leveraging the power of GBO, ORS, SRS, and FIT: A holistic approach to therapy session measurement. Holistic Research Canada Blog.
This article provides practical guidance on integrating various measurement tools—such as GBO, ORS, SRS, and FIT—to ensure comprehensive tracking of outcomes in therapy.
Cultural Sensitivity & Practical Application
Hansen, C. (2024). Measuring success in therapy: Why cultural sensitivity matters in emerging modalities. Holistic Research Canada Blog.
Hansen emphasizes the necessity of cultural sensitivity in therapy, particularly in relation to new and emerging therapeutic modalities, and suggests metrics for evaluating success through this lens.
Hansen, C. (2024). Evaluating culturally tailored interventions: Metrics and methodologies. Holistic Research Canada Blog.
This article explores methodologies and tools for assessing interventions that have been adapted for cultural relevance, promoting inclusivity in mental health care delivery.
Research & Academic Foundations
Hansen, C. (2025). Decoding deliberate practice: Evaluating study methodology and unexpected influences in therapy outcomes. Academia.edu.
Hansen critiques research designs used in deliberate practice studies and examines various factors that influence therapist skill development and therapy outcomes.
Hansen, C. (2025). The dynamic nature of deliberate practice: Comparing definitions and applications in psychotherapy. Holistic Research Canada Blog.
Hansen analyses different definitions of deliberate practice and discusses how these concepts are practically applied in the training of psychotherapists.
Hansen, C. (2024). Collaborating for better mental health: Boosting multidisciplinary collaboration in psychiatry. Academia.edu.
This academic paper discusses strategies for implementing Measurement-Based Care and encourages multidisciplinary collaboration within psychiatry to improve mental health outcomes.
Innovation
Hansen, C. (2024). From insight to innovation: Cindy Hansen's review of predictive analytics in mental health. Holistic Research Canada Blog.
Hansen reviews the role of predictive analytics in mental health, highlighting how data-driven insights can lead to more personalized and effective care.
Hansen, C. (2024). Unveiling the cultural impact of data-driven therapy research. Holistic Research Canada Blog.
This article explores the influence of data-driven approaches on culturally responsive care and the outcomes achieved in mental health therapy.
Policy and Global Leadership
Hansen, C. (2025). Transforming Canada into a trusted hub for AI applications: A vision for ethical AI and robust data governance. Canadian Science Policy Magazine.
This policy article outlines strategies for the ethical adoption of AI and the establishment of strong data governance, with the aim of positioning Canada as a global leader in digital health equity.
Hansen, C. (2025). From policy to practice: G7 leaders' AI statement and its implications for digital mental health equity. Holistic Research Canada Blog.
Hansen connects global AI policy commitments—such as those made by the G7—to practical applications in mental health, with a focus on advancing equity and accessibility in digital health services.
You can also request a summary on Integrating Predictive Algorithms and Outcome Monitoring—just reach out for more information.
Presentation Reference Section
Al Sayah, F., et al. (2025). Patient-reported outcome measures and equity in mental health assessments across Alberta’s healthcare system.
Bordin, E. S. (1979). The generalizability of the psychoanalytic concept of the working alliance. Psychotherapy: Theory, Research & Practice, 16(3), 252–260.
Frank, J. D., & Frank, J. B. (1993). Persuasion and healing: A comparative study of psychotherapy (3rd ed.). Johns Hopkins University Press.
Lambert, M. J. (1992). Implications of outcome research for psychotherapy integration. In J. C. Norcross & M. R. Goldfried (Eds.), Handbook of psychotherapy integration (pp. 94–129). Basic Books.
Miller, S. D., Duncan, B. L., Brown, J., Sparks, J. A., & Claud, D. A. (2003). The Outcome Rating Scale: A brief measure of therapeutic progress in routine clinical practice. Journal of Brief Therapy, 2(2), 91–100.
Miller, S. D., Duncan, B. L., Sorrell, R., & Brown, G. S. (2005). The Partners for Change Outcome Management System. Journal of Clinical Psychology, 61(2), 199–208. https://doi.org/10.1002/jclp.20111
Norcross, J. C., & Lambert, M. J. (2018). Psychotherapy relationships that work III. Psychotherapy, 55(4), 303–315.
Office for National Statistics. (2021). Census 2021, City of London and Greater London.
Saunders, R., Buckman, J. E. J., & Pilling, S. (2019). Latent class analysis of IAPT clients’ depression and anxiety symptom trajectories. Psychological Medicine, 49(12), 2049–2056. https://doi.org/10.1017/S0033291718002862
Wampold, B. E. (2015). How important are the common factors in psychotherapy? An update. World Psychiatry, 14(3), 270–277. https://doi.org/10.1002/wps.20238