Patient onboarding · Production

Notable AI Agents automate SDOH pre-visit screenings at Sturdy Health, raising completion rates from around 10% to 55–60%

The problem

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.

Workflow diagram · grounded in source
1
AI outreach to patients
trigger
“AI Agents reach out to patients in their preferred channel (SMS, Voice AI, web apps, or patient portals) and language to deliver the SDOH and depression screenings in a user-friendly format”
2
AI extracts responses into EHR
ai_action
“AI Agents extract and structure the responses, automatically entering them into the EHR, and eliminating the need for manual data entry by staff”
3
Automated follow-up workflows triggered
routing
“Responses can trigger additional automated workflows to suit each patient's needs”
4
Care team targeted intervention
output
“Care teams can utilize the captured data to identify high-risk patients and implement targeted care interventions, resulting in improved care outcomes and reduced health disparities”
5
Analytics inform population health
feedback_loop
“Sturdy's team has utilized analytics to assess available resources, identify any gaps, and connect patients more efficiently”
Reported 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.

Reported metrics
Primary care population screened75%
Pre-visit questionnaires sentover 31,000
Questionnaire completion rate (post-automation)55-60%
Questionnaire completion rate (baseline)around 10%
Show all 8 reported metrics
Primary care population screened75%
Pre-visit questionnaires sentover 31,000
Questionnaire completion rate (post-automation)55-60%
Questionnaire completion rate (baseline)around 10%
Screening positivity rate (baseline)2%
Screening positivity rate (post-automation)stable 5%
Staff capacity gained4 FTEs
Staff hours savedover 5,100 staff hours
Reported stack
Notable's AI PlatformAI AgentsEHR
Source
https://www.notablehealth.com/customer-stories/transforming-pre-visit-screenings-to-address-social-determinants-of-health-at-scale
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After automating with Notable's AI Platform, Sturdy Health sent over 31,000 pre-visit questionnaires, screening 75% of its primary care population.

What tools did this team use?

Notable's AI Platform, AI Agents, EHR.

What results were reported?

Primary care population screened: 75%; Pre-visit questionnaires sent: over 31,000; Questionnaire completion rate (post-automation): 55-60%; Questionnaire completion rate (baseline): around 10% (source-reported, not independently verified).

How is this patient onboarding AI workflow structured?

AI outreach to patients → AI extracts responses into EHR → Automated follow-up workflows triggered → Care team targeted intervention → Analytics inform population health.

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