Lyssn.io offers a clinically-validated AI platform capable of accurately assessing the use of evidence-based practices such as Motivational Interviewing and Cognitive Behavioral Therapy. With more than 54 metrics on everything from expressed empathy to open questions, Lyssn’s AI can help practitioners of all kinds hone their skills. On the organization side, Lyssn empowers them to better support staff and improve patient/client engagement and outcomes. In addition, Lyssn’s platform delivers draft clinical notes after every session and includes additional functionality for use in the hiring and training process. Rooted in over a decade of scientific inquiry, Lyssn’s technology has been validated in over 50 peer-reviewed academic publications, and it is in use in clinical, social services, academic, and population health settings across the US and in the UK.
Tell us about the clinical and technical research that provides the foundation for Lyssn’s AI.
Lyssn’s founders created the field of AI-supported quality improvement for behavioral health, wellness, and other healthcare conversations during their academic careers. Lyssn’s AI is built on more than a decade of their research and over 20,000 human-rated psychotherapy conversations (millions of labeled utterances). It’s been published in more than 50 peer-reviewed publications and secured $15 million in NIH funding. The core: We use the same established, gold-standard measures of fidelity as human raters in academia, healthcare, social services, and clinical practice everywhere – and we have trained our platform to do it at least as accurately, way cheaper, and way faster than the humans do.
With so many behavioral health companies competing for talent and customers right now, how can Lyssn’s platform improve hiring, training, and quality assurance?
The Lyssn platform can help at every step. Our hiring tool quickly and immediately assesses a candidate’s skills on gold-standard metrics for MI and CBT, giving hiring managers immediate insight into a candidate’s actual skills, not just their credentials.
Lyssn's easy-to-access training programs provide the most effective form of education: instruction, followed by practice, followed by direct feedback. While most programs offer only instruction, Lyssn's proprietary evidence-based artificial intelligence, Lyssn AI, gives clinicians and others the chance to practice their skills. In addition, the Lyssn AI platform allows comprehensive measurement and reporting not just of participation but of actual improvement in skills.
Our notes tool drafts clinical-quality notes from sessions, saving clinicians time on their most-hated task.
And our always-on quality assurance measures those same metrics during sessions – with the accuracy of a human rater but at a far lower cost. This way, supervisors and clinicians both have access to specific feedback on where they are and are not using evidence-based tools, which then can feed right back in to use of the training modules.
So, what’s the ROI and other benefits behavioral health employers can see from using these tools?
The first is savings from having the platform do the work that humans would do. Very few people have the staff to do mock sessions with new hires – but with our tools, you can quickly measure skills to avoid the costs of retraining or turnover. Our training tools are available any time and fully self-service, so there are no additional costs for workshop trainings, and new staff don’t have to wait. One customer says Lyssn Notes has increased efficiency in that area by 100%, with room for more improvement! And our quality assurance replaces expensive review/supervision by highly-trained staff (usually of a small portion of sessions) with continuous review and feedback at a fraction of the cost.
But the quality return is even more important, and why we started Lyssn. Evidence-based practices work when they are implemented with fidelity. This is very hard to monitor, and many payers, patients, and others often wonder how well quality is being managed in behavioral health. Our metrics strongly predict both engagement and outcomes and are continuously available to help document the use of EBPs and keep improving fidelity so that people get better more often. This can be a strong selling point and is also a requirement of certain contracts, for example, in the Family First Prevention Services Program.