This practical, thought-provoking session explores how artificial intelligence and emerging technologies are beginning to reshape clinical psychology practice—from documentation and workflow through to measurement-based care and decision support.
The presentation focuses on where artificial intelligence (AI) can genuinely improve clinical workflows (e.g., reducing administrative load, improving consistency in documentation, supporting outcome monitoring), while keeping the therapeutic relationship, empathy, and professional judgement at the centre of care.
But these technologies are more than just administrative tools, they can improve patient outcomes.
As AI takes on more technical and repetitive tasks, the “human skill premium” in clinical psychology—formulation, alliance-building, nuance, ethical judgement, and clinical wisdom—becomes even more valuable.
Attendees will leave with a grounded roadmap for navigating the changes already underway, an overview of today’s practical tools, and a clear framework for weighing benefit, risk, and readiness in real-world clinical settings.
The session emphasises how technology can strengthen evidence-based practice by making high-quality assessment and outcome monitoring more scalable, interpretable, and clinically actionable—without outsourcing judgement.
Whether you’re AI-curious, cautious, or already using an AI scribe or digital assessment tools, this session will help you:
Dr Ben Buchanan is a Clinical Psychologist and co-founder of NovoPsych, a software platform that helps mental health services use psychometric science and AI to improve patient outcomes. He has been a leading contributor to the intersection of AI and clinical psychology, including development of NovoNote, an AI scribe designed for psychologists. Ben is a strong advocate for high-quality assessment and measurement-based care, and emphasises that technology should serve people—both clinicians and clients—by supporting better decisions, clearer communication, and more effective care. Through university lecturing and clinical supervision, he promotes the scientist-practitioner model, and his research focuses on treatment effectiveness, psychometric assessment, and helping services generate practice-based evidence.
Connect with Dr Ben Buchanan on Linkedin
