Patient Engagement & Communication AI
Patient communication that improves engagement — without replacing the human relationship.
AI-powered patient communication systems that improve engagement, reduce no-shows, and connect patients to care faster. Built on HIPAA-aware architecture and integrated with the EHR you already run.
What we build
Communication systems that close the loop with patients.
InWork Global builds AI-powered patient communication systems that improve engagement, reduce no-shows, and connect patients to care faster — without replacing the human relationship. Every system is designed with HIPAA-aware architecture before a line of code is written.
We integrate with the EHR you already run — Epic, Cerner, or Athena — so scheduling, intake, and recall outreach operate on a single source of truth rather than a parallel database that drifts out of sync.
Capabilities
From booking to recall, the full engagement journey.
Appointment Management
CommunicationAI chatbot for appointment scheduling, rescheduling, and cancellation. Automated appointment reminders by SMS, email, and voice — TCPA compliant. Waitlist management with AI slot filling and post-appointment follow-up sequences.
Intake & Onboarding
Digital intakeDigital intake form automation integrated with the EHR (Epic, Cerner, Athena). Insurance verification assistance, pre-visit instruction delivery, and consent form digital delivery and capture.
Care Gap Outreach
RecallAI-driven identification of patients overdue for preventive care. Personalized outreach sequences by care-gap type and recall campaigns for annual physicals, screenings, and chronic disease follow-up.
HIPAA compliance architecture
HIPAA-aware by default — not retrofitted.
Patient communication touches PHI at every step. We design the compliance boundary first, then build the experience inside it.
HIPAA-aware
BAA available · compliance by design
Protected Health Information never appears in analytics pixels, chat logs, or third-party payloads without a signed BAA. We design for HIPAA awareness at the architecture level — before a line of code is written.