Boston Bone & Joint Institute (41 providers) uses Assort Health AI agents for inbound calls and automated outbound rescheduling. The vendor reports call abandonment falling from 9% to 3%, a 53% rescheduling rate from outbound campaigns, and attrition of 2 staff absorbed without backfill.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Inbound agents handle patient calls and inquiries around the clock.
- Outbound campaigns notify and reschedule patients when schedules change.
- Workflows tailored to the practice's orthopedic scheduling rules and SOPs.
Risks & compliance
- Mis-scheduling or mis-routing of patients with clinical urgency; escalation rules required
- PHI handled in calls (HIPAA); EHR write access
- Vendor-published results; not independently audited
Healthcare cases cover operational and commercial workflows. Nothing here is medical advice or a claim about a device's or drug's efficacy.
Casefile: MedTech angle
Orthopedic practices are core accounts for ortho device reps; faster patient access upstream means faster time to surgical consults and procedures.
Tools mentioned & how to build it
Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.
Tools mentioned
- Assort Health (Assort Health)
Voice AI patient-access agents for specialty practices.
Build a version yourself
- Retell AI
Build and deploy phone agents for scheduling, intake and call routing. - ElevenLabs
Voice models and a conversational-agent platform behind many voice agents. - Zapier
The default app-to-app automation layer, now with AI agents and AI steps.
Sources
“With a 9% call abandonment rate, patients who couldn't get through were simply leaving.”Boston Bone & Joint Institute Reduces Call Abandonment and Expands Access
Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 3/3 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
