Operational intelligence
for your medical practice.
Spark handles routine patient communication, scheduling, intake, and refill requests — while staff stay in control and every request lands in a real work queue.
Medication refill request
Patient: Eleanor Vance · DOB 10/14/1962 · MRN 948219
Lisinopril 10 mg PO daily
Qty 90 tablets · 3 refills requested · last filled 88 days ago
“Hi, this is Eleanor Vance calling to request my blood pressure refill. Same pharmacy as last time.”
The front desk
Voice, schedule, intake, and refills
in one operational layer
These workflows are configured around each practice’s EHR, staffing model, and priorities — with staff approving anything that touches the chart.
AI call handling
Inbound coverage during office hours, after hours, and overflow — with routing by urgency and clinic status. Every call produces a visible record for staff.
- Configurable greetings and transfer rules
- Voicemail and message capture when staff are unavailable
- Documented handoffs when a person needs to take the call
Appointment workflows
Book, reschedule, and cancel with provider, location, and visit-type awareness. Spark coordinates patient-facing communication; your EHR remains the calendar record.
- Voice and patient-portal scheduling paths
- Conflict checks and provider-specific rules
- Patients stay informed when the schedule changes
Digital patient intake
Patients complete structured forms before the visit via a secure link. Staff send intake from the schedule and track completion in the same dashboard.
- Multi-step web intake, plus conversational capture when it fits
- Staff-initiated links from the day’s schedule
- Care-gap signals on completion for staff review
Medication refill requests
Refill requests captured by voice and routed into staff review. Provider approval is always required — automation prepares, staff approve.
- RxNorm normalization on capture
- Status tracking in staff queues
- Designed to land in the queues staff already work
Request visibility
Cross-channel requests with ownership, priority, aging, and audited status history. Nothing is shown complete before staff action.
- Role-scoped views for physicians and staff
- Uncertain patient-match and reconciliation queues
- One request model across phone, intake, refills, and documents
Staff dashboard
Inbox, schedule, patients, and requests in one tenant-scoped dashboard. Physicians see decisions; staff see operational queues.
- Call review and activity feeds
- Integration health for EHR and voice workflows
- Capability-scoped navigation by role
Eligibility, outreach, and quality sit in the same system
Spark is the practice’s operational intelligence — not a phone tree bolted onto a separate inbox. Coverage checks, patient messages, care-gap signals, and document work use the same queues as the front desk.
Eligibility
Insurance verification
Eligibility checks run against Availity so coverage issues surface in the staff workflow before the visit — not at the front desk.
Communications
Patient outreach in one thread
Confirmations, reminders, and a secure clinic–patient conversation — SMS, email, or voice — without duplicate messages or PHI in the alert.
Quality
Care-gap signals on intake
Completed intake surfaces care-gap heuristics for staff review — wellness visits, chronic-care follow-up, and quality opportunities sit next to the visit.
Language
Multi-lingual voice support
Callers can speak in their preferred language. Spark prepares an English view for staff and keeps the original with the translation for review.
EHR
Your EHR stays the system of record
Spark coordinates patient-facing work; appointments, refills, and chart writes go through staff-approved paths back to the connected EHR.
Documents
Referrals and documents in the same queues
Inbound documents and referral work join the same staff queues as calls, refills, and intake — matched to a patient and escalated when the match is uncertain.
Automation prepares.
Staff approve.
Spark follows non-negotiable clinical operations rules: uncertain automation escalates, clinical decisions stay with providers, and patient requests land in real work queues.
Human gate required
Human approval required for prescriptions, chart changes, and uncertain patient matches.
Active escalation
Low-confidence voice, translation, and classification escalates immediately — never silent action.
True work queues
Refill and schedule requests route to actual staff queues, never disappearing into passive notes.
Instant killswitch
Per-clinic feature flags and instant rollback runbooks guarantee runtime safety during anomalies.
Complete audit trail
Immutable audit trail for staff actions and automation events, with BAAs executed before PHI is handled.
A structured rollout — not a black box
Spark is designed for practices ready to qualify their EHR environment and replace front-desk bottlenecks with measured automation and visible staff control.
Qualify & scope
We confirm EHR compatibility and access, call volume, locations, and which workflows to enable first — voice, scheduling, intake, or refills.
Connect your EHR
Map providers, facilities, schedules, and visit types. Spark coordinates patient-facing communication; your EHR remains the system of record.
Launch with oversight
Staff use the dashboard for calls, requests, and integration health. Feature flags let you narrow or pause workflows without a redeploy.
Measure & expand
We capture the baseline, reconcile Spark against the EHR daily for the first week, then expand scope when reliable.
What Spark measures
Spark evaluates operational impact with clearly defined metrics. Outcome ranges are published only after verified data — not before.
Calls handled by Spark
Inbound calls answered, transferred, or captured as messages.
Appointments booked / changed
Bookings, reschedules, and cancellations coordinated through Spark.
Intake completion rate
Patients who complete digital intake before their visit.
Refill requests captured
Time from capture to staff resolution.
Silent EHR auto-writes
Every prescription, schedule change, or chart patch requires explicit staff verification.
Spark vs EHR reconciliation
Discrepancies surfaced between Spark state and the connected EHR.
Ready to see Spark in action?
Schedule a tailored walkthrough of Spark's workflows and the integration path for your EHR. Qualified practices receive dedicated engineering support during setup.