Vendor-reported figures — source: www.healthcareitnews.com
Gaudenzia, operating 51 behavioral health facilities serving 19,000 individuals annually, faced surging substance use disorder demand during COVID-19 while contending with severe workforce shortages. Counselors spent approximately 10 minutes per session on clinical documentation, reducing direct client time. Clinical supervisors lacked objective data on technique adherence, relying on clinician self-reporting—creating accountability gaps and limiting actionable performance feedback.
Gaudenzia deployed Eleos, a conversational AI platform, to record client sessions (with consent), auto-generate clinical note suggestions from transcripts, and deliver session-level analytics including counselor-to-client talk ratios and evidence-based technique adherence scores. Pre-session client self-check-ins are tracked visually over time to surface progress or flag need for intervention. The platform was integrated with Gaudenzia's existing EHR, Netsmart's My Avatar, through a joint effort between Eleos, Netsmart, and Gaudenzia's IT and EHR teams.
Session note completion time dropped from approximately 10 minutes to 3.2 minutes per session—a 68% reduction—freeing counselors for greater direct client interaction. Evidence-based technique adherence across the organization increased 35% since implementation. Supervisors gained on-demand, objective performance data, enabling targeted coaching and reducing dependence on self-reporting.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →