Spark

How it works

One patient. Dozens of workflows. One connected system.

Spark takes work from incoming request to action to completion, while the practice stays in control.

01

Patient reaches the practice

The request can arrive anywhere. Spark meets it there.

  • Phone
  • Web
  • Text
  • Referral
  • Fax
  • Patient app

02

Spark understands the request

Before anything moves, the context is clear.

  • Who is the patient?
  • What do they need?
  • What insurance do they have?
  • How urgent is the request?
  • What rules apply?

03

Spark takes action

The work moves. It does not sit in another inbox.

  • Schedule or reschedule
  • Find an earlier appointment
  • Verify eligibility
  • Complete intake
  • Route documents
  • Create staff work
  • Send reminders
  • Identify care opportunities

04

Humans stay in control

Automation prepares. The practice decides what may proceed.

  • Clinical decisions remain with clinicians
  • Sensitive actions can require approval
  • Low-confidence situations escalate to staff
  • Actions are logged and auditable

05

The loop gets closed

The goal isn’t another task. The goal is completion.

  • Request
  • Action
  • Staff where it matters
  • Done

A day in the life

One patient. One morning. The work moves.

About a minute. A fictional patient calls at 8:03 AM, and Spark carries the request from recognition to the one decision that still needs a person.

0:00 / 0:56

SparkOperations
8:03 AM

Incoming call

Live

“I need to move my follow-up. Mornings work better.”

LineMain
StatusSpark is answering

Someone calls

A patient reaches the practice on the main line. Spark answers, so the person at the front desk can stay with the patient standing in front of them.

Illustrated with a fictional patient. Not a live record.

AI and human oversight

Automation without losing control.

Healthcare requires judgment. Spark is not designed to silently replace it.

  • Clinical decisions remain with clinicians.
  • Practices determine what Spark can automate.
  • Sensitive workflows can require approval.
  • Uncertain situations can escalate to staff.
  • Actions can be logged and audited.

AI should remove friction. Not remove clinicians from healthcare.

What could your practice do if the repetitive work handled itself?

Spend 20 minutes with us. Show us how your practice operates today. We’ll show you where Spark can help.