Notable AI Agents automate SDOH pre-visit screenings at Sturdy Health, raising completion rates from around 10% to 55–60%
Sturdy Health's SDOH and depression screening completion rates stagnated around 10%, with only 2% of those screenings showing positive indications of need. Traditional manual screening required staff to administer questionnaires during check-in, over the phone, or in person, manually enter data into the EHR, and coordinate follow-up referrals — a process prone to errors that could not consistently reach all eligible patients.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · AI outreach to patients
AI Agents reach out to patients in their preferred channel and language to deliver SDOH and depression screenings.
Tools used
Notable's AI PlatformAI Agents
Outcome
After automating with Notable's AI Platform, Sturdy Health sent over 31,000 pre-visit questionnaires, screening 75% of its primary care population. Completion rates rose from approximately 10% to 55–60%, positivity rates increased from under 2% to a stable 5%, and the health system gained 4 FTEs of staff capacity while saving over 5,100 staff hours.