The accuracy of a human, in a fraction of the time.
Only Lyssn has the proven accuracy of a skilled human rater to assess the use of evidence-based practices.
The science behind Lyssn.
Lyssn’s founders created the field of AI-supported quality improvement for behavioral health, wellness, and other healthcare conversations. Lyssn’s AI is built on more than a decade of academic research. Behind Lyssn AI is over 20,000 human rated psychotherapy conversations (millions of labeled utterances), more than 50 academic publications, and $15 million in NIH funding. And we use the same established, gold-standard measures of fidelity as human raters in academia, healthcare, social services, and clinical practice everywhere.
Externally validated metrics for evidence-based practices.
Lyssn’s Motivational Interviewing metric accuracy rate. Metrics include established ratings of the therapeutic relationship, provider empathy, active listening, advice giving, collaboration, affirmations, and client change language.
Lyssn’s Cognitive Behavioral Therapy metric accuracy rate. Along with an overall fidelity rating, 11 specific sub-scales are included, such as agenda setting, collaboration, interpersonal effectiveness, guided discovery, homework and more.
Lyssn generates 28 unique content codes for each session that provide summaries of key clinical topics. These labels include discussions of mood, substance use, interpersonal relationships, and work, as well as discussions of suicide or self-harm.
Here’s how it works.
Lyssn uses AI algorithms to automatically generate clinical quality metrics from a recording (or transcript) of a provider-patient/member session or conversation. Metrics range from general counseling and member/patient-centered communication to fidelity to evidence-based counseling. Every metric is thoroughly vetted prior to release.
Some of Lyssn’s 54+ validated metrics include: