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Clinical Data Governance Checklist
A practitioner-facing governance tool for psychotherapy and behavioral health clinics navigating routine outcome monitoring in digital and AI-enabled care environments — where consent forms, data flows, and vendor practices have outpaced most clinical guidance.
Is the Clinical Data Governance Checklist
for you?
— If you use a digital platform to collect outcome data, document sessions, or communicate with clients
— If your consent form was written before AI-assisted features became standard
— If you have ever wondered whether your data practices match what your clients actually consented to
... the CDGC was written for you.
What is a Clinical Data Governance Checklist (CDGC)?
Most psychotherapy clinics are now collecting, storing, and processing clinical data through platforms that involve multiple vendors, subprocessors, jurisdictions, and AI-enabled features. Consent forms written years ago rarely reflect what those systems actually do with client data.
This is not a clinician failure. It is a sector-wide governance gap — and it affects the therapeutic alliance, client trust, and clinician psychological safety as much as it affects l
egal compliance.
The CDGC is designed for the reality most clinicians are working in: resource-limited, relationship-centred, and navigating digital systems that were not built with governance reflection in mind.
The CDGC is not a compliance audit.
It is not a legal instrument, a performance evaluation, or a regulatory checklist. It will not tell you whether you are meeting jurisdiction-specific requirements.
What it does is help you see your own data practices more clearly, align your consent language with what your platforms actually do, and make governance a recurring part of clinical work rather than a background task you never have time for.
Download the CDGC
Scan the QR code
What the CDGC covers
The checklist is organized as eleven practitioner-facing sections, grouped analytically into seven governance domains:
— Consent language and client communication
— Clinical integration and purpose limitation
— Data inventory and proportionality
— Data-flow mapping and jurisdictional awareness
— Access, confidentiality, and role limitation
— Lifecycle awareness for derived and AI-assisted data
— Vendor governance and ongoing accountability
Completing the checklist produces documented awareness and a structured review record — not a compliance score. It is designed to be revisited, not filed once and forgotten.
Read the rationale behind the CDGC: what governance problem it addresses, how its seven domains work together, and what ethical routine outcome monitoring looks like in practice.
The Clinical Data Governance Checklist Rationale
Routine outcome monitoring now occurs inside complex digital and AI-enabled ecosystems that most consent forms were never designed to address.
This paper makes the case for governance as a clinical responsibility — not a compliance task — and explains how the CDGC's seven domains support consent portability, data-flow visibility, clinician psychological safety, and trust across the full lifecycle of digitally mediated care.
Working through a governance checklist alone can raise more questions than it answers — particularly when it surfaces gaps between your consent language and what your platforms actually do, or when AI-enabled features have been added to systems you've been using for years.
This one-hour consultation supports clinic leads, practice managers, or individual practitioners in completing the CDGC in relation to their specific digital environment.
Sessions are structured, reflective, and non-evaluative. You will leave with documented awareness, clearer next steps, and a review record you can return to.
No governance expertise required.
1 t
100 kanadiske dollar
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.