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.
HIPAA-aligned architecture · BAA before live PHI · Human approval for clinical actions
Workflows built for your practice
with EHR-connected workflows
These workflows are configured around each practice’s EHR environment, staffing model, and operational priorities.
AI call handling
Inbound voice coverage during office hours, after hours, and overflow — with routing by intent, 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
- Staff escalation with documented handoffs
Appointment workflows
Book, reschedule, and cancel with provider, location, and visit-type awareness. Spark coordinates patient-facing communication while your EHR remains the calendar record.
- Voice and patient-portal scheduling paths
- Conflict checks and provider-specific rules
- Staff visibility into booking activity
Digital patient intake
Token-based intake links via SMS or email. Patients complete structured forms before visits; staff send links from the dashboard and track completion.
- Multi-step web intake wizard
- Staff-initiated intake from schedule
- Care-gap heuristics on completion
Medication refill requests
Refill requests captured by voice and routed into staff review workflows. Provider approval is always required — automation prepares, staff approve.
- RxNorm normalization on capture
- Status tracking in staff queues
- Designed to land in work queues staff actually use
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
- Domain-action gates for protected workflows
Staff dashboard
Inbox, schedule, patients, referrals, and insights 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
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.
How Spark keeps workflows safe
- Human approval required for prescriptions, chart changes, and uncertain patient matches
- Low-confidence voice, translation, and classification escalates — never silent action
- Refill and schedule requests route to staff queues, not passive notes
- Per-clinic feature flags and rollback runbooks for production incidents
- Complete audit trail for staff actions and automation events
- BAAs required before live PHI enters production workflows
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.
Manual intervention rate
Automation events that required staff action.
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.