Use Cases for Healthcare & Medical Practices

Appointment booking triggers intake workflow.

Patient receives secure link to complete intake online before visit.

Patient fills demographics, history, insurance, consent forms.

Data validated, formatted, and pushed directly to EHR.

Insurance card and ID images extracted via OCR.

Front desk sees pre-completed intake, patient checks in faster.

Clinical staff receives prepared chart.

72 hours before appointment, reminder workflow triggers.

AI determines patient's preferred channel (SMS, email, voice).

Reminder sent with one-tap confirm or reschedule.

Patient confirms, reschedules, or cancels.

If reschedule, freed slot offered to waitlist patients automatically.

24-hour and 2-hour reminders sent for confirmed appointments.

No-show data tracked for continuous improvement.

Nightly batch pulls next-day appointments.

AI verifies eligibility with each insurer via API or portal.

Coverage details, copay, deductible status extracted.

Information added to patient chart and billing system.

Exceptions (eligibility issues, prior auth needed) flagged.

Staff handles only flagged exceptions.

Patient notified of any coverage issues before visit.

Patient calls, texts, or chats anytime.

AI identifies patient (existing) or collects basic info (new).

AI asks reason for visit, matches to provider and visit type.

Available appointments offered based on provider schedule and patient preference.

Patient selects time.

Appointment booked in EHR, confirmation sent.

Intake link sent automatically.

Procedure or prescription requiring PA flagged in EHR.

AI assembles PA package with clinical documentation.

PA submitted to payer via portal or fax integration.

Status checked daily, escalations triggered for delays.

Staff intervenes on denials with appeal workflow.

Patient kept informed automatically.

Approval received, scheduled care moves forward.

EHR identifies patients due for follow-up, screening, or annual visit.

AI generates personalized outreach (procedure, timeframe, importance).

Patient contacted via preferred channel.

Patient books or requests info.

Booking completed in chatbot or routed to scheduler.

Recall completion tracked, no-response patients receive sequence.

Clinical encounter conducted as normal.

Ambient AI captures conversation (with consent).

AI generates structured note in SOAP or specialty format.

Provider reviews and edits note (5 min vs. 30 min).

Approved note saved to EHR.

Coding suggestions generated for billing.

Coder validates and submits.