Torn between phones and patients, staff missed 30% of calls. Now, AI handles scheduling and routes tasks, freeing them for in-person care.
A fast-growing dermatology practice operating across seven locations with 19 providers, seeing 64,000 patients annually while experiencing double-digit year-over-year growth.
Rapid expansion and surging call volume overwhelmed staff, who were torn between helping in-person patients and answering phones. The practice lacked...
“A typical morning for us was one word: chaotic. As our practices were growing — we saw 64,000 patients last year — we couldn't keep up with the demand.”
Medical and cosmetic dermatology practice serving New Hampshire and Massachusetts.
AI automation platform for housing and healthcare communication workflows.
Dermatology & Skin Health's Patient support is part of this use case:
Related implementations across industries and use cases
Solo front desk staff juggled check-ins and thousands of calls. Now, an AI manages 24/7 scheduling directly in the EHR.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Solo front desk staff juggled check-ins and thousands of calls. Now, an AI manages 24/7 scheduling directly in the EHR.
Call surges kept 50+ staff tethered to phones. Now, an AI assistant handles routine intake, freeing the team for complex clinical support.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Torn between phones and patients, staff missed 30% of calls. Now, AI handles scheduling and routes tasks, freeing them for in-person care.
A fast-growing dermatology practice operating across seven locations with 19 providers, seeing 64,000 patients annually while experiencing double-digit year-over-year growth.
Rapid expansion and surging call volume overwhelmed staff, who were torn between helping in-person patients and answering phones. The practice lacked...
“A typical morning for us was one word: chaotic. As our practices were growing — we saw 64,000 patients last year — we couldn't keep up with the demand.”
Medical and cosmetic dermatology practice serving New Hampshire and Massachusetts.
AI automation platform for housing and healthcare communication workflows.
Dermatology & Skin Health's Patient support is part of this use case:
Related implementations across industries and use cases
Solo front desk staff juggled check-ins and thousands of calls. Now, an AI manages 24/7 scheduling directly in the EHR.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Solo front desk staff juggled check-ins and thousands of calls. Now, an AI manages 24/7 scheduling directly in the EHR.
Call surges kept 50+ staff tethered to phones. Now, an AI assistant handles routine intake, freeing the team for complex clinical support.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.