Replaces Epic Cadence

Every slot filled.
Every patient seen.

AI-native scheduling that predicts demand, prevents no-shows, and maximizes every minute.

Tempo replaces Epic Cadence with an intelligent scheduling platform that treats every appointment slot as a strategic asset. It predicts which patients will not show, fills cancellations before they create gaps, matches clinical acuity to appointment duration, and gives patients the frictionless self-scheduling experience they expect from every other industry — but have never received from healthcare.

38%
Average no-show rate reduction
97%
Schedule utilization rate achieved
$2.1M
Average recovered revenue per facility per year
14s
Average patient self-scheduling time
The Scheduling Crisis

$150 billion lost to empty chairs.

Every unfilled appointment slot is permanent revenue destruction. The time cannot be recovered. The overhead was already incurred. The patient who needed care did not receive it. And yet the average outpatient practice operates at 72% schedule utilization — meaning 28% of every clinic day produces zero revenue against fixed costs. Epic Cadence, built in an era of phone-based scheduling and paper appointment books, treats the schedule as a static grid. Tempo treats it as a living, self-optimizing system.

$150B
Annual cost of missed appointments to the U.S. healthcare system
18.8%
Average outpatient no-show rate — nearly one in five patients fails to appear
31 days
Average wait time for a new patient physician appointment in the United States
40%
Of appointment requests occur after business hours — when no one answers the phone
Core Capabilities

Eight engines. Zero empty slots.

Tempo is not a calendar with a search function. It is a scheduling intelligence platform that continuously optimizes provider capacity, predicts patient behavior, and ensures that every available minute of clinical time produces care.

01
Predictive Demand Intelligence
ML-driven demand forecasting that knows how many patients will need appointments next Tuesday

Tempo forecasts patient demand three to seven days in advance by analyzing historical appointment patterns, seasonal disease trends, local event calendars, weather impact, insurance enrollment cycles, and population health data from the Clarion ecosystem. When the model predicts a 40% surge in respiratory clinic demand next week because flu positivity rates are climbing in the county, Tempo automatically proposes schedule template adjustments — adding slots to pulmonology, extending evening hours at high-demand locations, and shifting elective appointments to lower-demand windows.

This is not reactive scheduling — waiting for the phone to ring and hoping you have an opening. This is predictive capacity management, where the schedule shapes itself to meet demand before patients even call.

3–7 Day Demand Forecasting
Seasonal & Epidemiological Signals
Template Auto-Adjustment
Multi-Location Load Balancing
Surge Capacity Planning
Provider Burnout Prevention
87%
Demand forecast accuracy at 3-day horizon
23%
Improvement in provider utilization via predictive templates
4.2 pts
Reduction in wait time to third-next-available appointment
02
Provider Template & Capacity Engine
Dynamic provider schedules that adapt to clinical demand — not static grids from 2003

In Epic Cadence, provider templates are static configurations — a fixed grid of slot types built once by an analyst and rarely updated. In Tempo, templates are living structures that respond to real-world utilization data. If a cardiologist consistently runs 12 minutes over on new-patient visits but finishes follow-ups 5 minutes early, Tempo adjusts. If a pediatrician sees 60% well-child visits on Mondays but 80% sick visits on Wednesdays, the template reshapes accordingly. Provider preferences — blocked lunch times, teaching obligations, administrative half-days — are honored while the system continuously optimizes the remaining capacity.

Self-Learning Templates
Visit Duration Intelligence
Acuity-Based Slot Sizing
Provider Preference Rules
Multi-Site Template Sync
Block Scheduling & Holds
94%
On-time clinic start rate with adaptive templates
18%
More patients seen per session vs. static templates
0
Manual template build requests — Tempo learns automatically
03
No-Show Prediction & Recovery
ML models that identify which patients will miss — and intervene before they do

Every patient who books an appointment receives a no-show probability score. The model analyzes 47 variables — prior no-show history, appointment lead time, distance from clinic, weather forecast, day of week, time of day, insurance type, chronic condition burden, and socioeconomic indicators — to assign a risk score with 89% AUC accuracy. High-risk appointments trigger graduated interventions: an additional SMS reminder 48 hours before, a phone call 24 hours before, and a one-tap reschedule link that lets the patient move their appointment without calling. Simultaneously, the waitlist engine identifies patients who could fill the slot if a cancellation occurs.

The result is not just fewer no-shows — it is fewer empty chairs. When a high-risk patient cancels, the slot is already pre-filled from the intelligent waitlist before the scheduling staff even opens their screen.

47-Variable Risk Scoring
Graduated Intervention Cascade
One-Tap Rescheduling
Pre-Emptive Waitlist Backfill
Transportation Barrier Detection
Cultural & Language Sensitivity
38%
No-show rate reduction across all appointment types
89%
AUC accuracy of no-show prediction model
82%
Cancellation slots recovered via intelligent backfill
04
Multi-Resource & Complex Booking
Coordinated scheduling across providers, rooms, equipment, and interpreters

A cancer patient's follow-up visit may require an oncologist, a lab draw, a CT scan, and an infusion chair — all on the same day, in the right sequence, with appropriate intervals between them. In Cadence, this requires multiple phone calls and manual coordination by a scheduling specialist who holds the entire dependency chain in their head. In Tempo, the patient books one appointment. The system understands the clinical protocol, identifies all required resources, checks availability across providers, rooms, equipment, and support staff, and presents the patient with optimized itineraries that minimize wait time and total time in the facility. One click. One visit. Every resource aligned.

Protocol-Aware Sequencing
Cross-Department Coordination
Equipment & Room Matching
Interpreter Auto-Assignment
Same-Day Multi-Visit Optimization
Travel Time Calculation
62%
Reduction in multi-visit coordination time
44min
Average patient time saved per multi-resource visit
1
Click to book a complex multi-resource appointment
05
Patient Self-Scheduling & Digital Access
Book, reschedule, or cancel from any device — 24/7, in 14 seconds, in 18 languages

Patients do not want to call your office. They want to book an appointment the way they book a flight or a restaurant reservation — on their phone, at midnight, in under 30 seconds. Tempo's patient-facing scheduling interface is designed for the consumer expectation: available slots displayed by day, time, provider, and location, with real-time insurance eligibility verification, copay estimation, and automated pre-visit questionnaire delivery — all before the patient confirms. The entire flow completes in an average of 14 seconds. Forty percent of all Tempo appointments are booked outside business hours, capturing demand that would otherwise call a competing practice the next morning.

24/7 Web & Mobile Booking
Real-Time Slot Availability
Insurance Verification at Book
Copay Estimation Display
18-Language Support
SMS / Email / WhatsApp Confirmation
14s
Average patient self-scheduling completion time
40%
Appointments booked outside business hours
67%
Reduction in scheduling-related phone calls
06
Waitlist Intelligence & Backfill
AI-powered waitlist that fills cancellations in minutes — not days

When a patient cancels a 2:00 PM cardiology appointment at 9:00 AM, Epic Cadence adds the slot back to the open schedule and waits for someone to notice. Tempo immediately scans the intelligent waitlist — ranked by clinical urgency, wait time, geographic proximity, and stated availability — and sends a personalized offer to the three highest-priority candidates simultaneously. The first to accept gets the slot. Average time from cancellation to re-booking: 8 minutes. Compare that to the industry average of 3.2 days for manual waitlist outreach, during which the slot usually expires unfilled.

Urgency-Ranked Waitlist
Instant Multi-Channel Offers
First-Accept-Wins Logic
Geographic & Availability Matching
Fast Pass Auto-Upgrade
Backfill Revenue Tracking
8min
Average cancellation-to-rebook time
82%
Cancelled slots recovered via intelligent backfill
$2.1M
Average annual revenue recovered per facility
07
Referral Scheduling & Network Coordination
Close the referral loop — from order to booked appointment in one workflow

Half of all specialist referrals never result in a completed appointment. The referring physician writes the order. The patient receives a phone number. The patient calls. Gets voicemail. Calls again the next day. Waits on hold. Gives up. In Tempo, when a primary care physician creates a referral in Clarion Scribe, the patient immediately receives a scheduling link — pre-filtered to the correct specialty, the correct insurance network, and locations within the patient's preferred travel radius. The referral is considered closed only when the appointment is completed, not when it is ordered. The referring physician sees real-time status: scheduled, confirmed, completed, or lost — and the system flags referrals at risk of falling through the cracks.

Order-to-Appointment Link
Network-Aware Provider Matching
Referral Status Tracking
Leakage Prevention Alerts
Patient Choice Preservation
Closed-Loop Confirmation
73%
Referral-to-appointment completion rate (vs. 50% industry avg)
4.2 days
Average referral-to-scheduled time (vs. 21 days industry avg)
$1.4M
Annual retained revenue from referral leakage prevention
08
Analytics & Utilization Optimization
Real-time dashboards that show where every minute of provider time is going

You cannot optimize what you cannot measure. Tempo provides real-time visibility into every dimension of scheduling performance — utilization rate by provider, no-show rate by appointment type, wait time by department, referral conversion by specialty, revenue per slot by time of day, and patient acquisition cost by channel. Operational leaders see not just what happened today, but what will happen tomorrow: projected demand, predicted no-shows, anticipated gaps, and recommended interventions. The analytics engine transforms scheduling from a clerical function into a strategic lever for revenue, access, and patient experience.

Provider Utilization Dashboards
Revenue-Per-Slot Analytics
Access & Wait Time Tracking
No-Show Pattern Analysis
Channel Attribution
Executive Reporting Suite
97%
Schedule utilization rate at optimized facilities
$420
Average revenue recovered per previously empty slot
Real-time
Dashboard refresh — not end-of-day batch reporting
Competitive Analysis

Tempo vs. Epic Cadence

Epic Cadence
Clarion Tempo
Scheduling ModelStatic provider templates built by analysts; manual slot management
Scheduling ModelSelf-learning templates that adapt to actual visit patterns and demand signals
No-Show ManagementSMS reminders and basic Fast Pass waitlist — reactive approach
No-Show Management47-variable ML prediction with graduated interventions and pre-emptive backfill
Patient AccessMyChart self-scheduling for limited appointment types; phone-dependent for complex
Patient Access24/7 consumer-grade booking for all types including multi-resource, in 18 languages
Demand ForecastingHistorical reporting only — no predictive capacity management
Demand Forecasting3–7 day ML demand forecasting with automatic template adjustment
Complex BookingManual multi-resource coordination by scheduling specialists
Complex BookingProtocol-aware automated sequencing across providers, rooms, and equipment
Referral SchedulingAppointment request workqueue — patient must call to complete booking
Referral SchedulingOrder-to-appointment link with closed-loop tracking and leakage prevention
WaitlistManual waitlist with staff-driven outreach — average 3.2 days to fill
WaitlistAI-ranked waitlist with instant multi-channel offers — average 8 minutes to fill
AnalyticsEnd-of-day batch reports; limited predictive capability
AnalyticsReal-time utilization, revenue-per-slot, and predictive gap dashboards
Case Studies

What happens when every slot is treated as an asset.

Multi-Specialty Group · 180 Providers · 34 Locations

From 72% utilization to 96% in 90 days — without adding a single provider

A 180-provider multi-specialty group across 34 clinic locations replaced Epic Cadence with Clarion Tempo. The no-show prediction engine identified that 23% of their no-shows were concentrated among patients with appointments booked more than 21 days out and no insurance pre-verification. Targeted interventions — automated outreach, one-tap reschedule links, and waitlist backfill — recovered 4,200 appointment slots in the first quarter. Referral leakage dropped from 48% to 19% as closed-loop scheduling ensured that specialist referrals resulted in completed appointments, not voicemail messages. The group added $2.8 million in annual revenue without hiring a single additional provider.

72→96%
Schedule utilization improvement
4,200
Appointment slots recovered in 90 days
$2.8M
Annual revenue increase — zero new providers
48→19%
Referral leakage reduction
Academic Health System · 12 Hospitals · 2,400 Providers

Enterprise scheduling transformation across a Southeastern academic system

A 12-hospital academic health system with 2,400 providers deployed Tempo to unify scheduling across primary care, specialty, imaging, infusion, and procedural services. The multi-resource booking engine reduced complex oncology appointment coordination from an average of 3.4 phone calls to one patient self-service interaction. Patient access call volume dropped 67%, and the system redeployed 42 scheduling FTEs from phone-based booking to patient navigation and care coordination roles. Third-next-available appointment wait time decreased from 18.4 days to 6.2 days across all specialties.

67%
Reduction in scheduling phone call volume
42
FTEs redeployed from phones to patient navigation
18→6 days
Third-next-available wait time improvement
3.4→1
Interactions to book complex multi-resource visit
We had 42 people answering phones to schedule appointments. Forty-two. Their entire job was to look at a screen, find an open slot, and type in a patient's name. Tempo automated that — not by replacing those people, but by freeing them to do work that actually matters. They now call patients after a cancer diagnosis. They coordinate transportation for elderly patients. They close referral gaps. We turned a cost center into a care team. That is the transformation no one talks about.
Rebecca Thornton, VP of Patient Access, 12-Hospital Academic Health System
Our no-show rate was 22%. We tried everything — reminder calls, penalty fees, double-booking. Nothing worked because we were treating the symptom, not the cause. Tempo showed us that 60% of our no-shows were patients who wanted to cancel but could not get through on the phone. We gave them a one-tap reschedule link and a waitlist patient filled their slot within minutes. Our no-show rate is now 8%. The math is that simple.
Dr. Michael Azarian, Chief Medical Officer, 180-Provider Multi-Specialty Group

An empty appointment slot is a permanent loss.
Tempo makes it temporary.

See Tempo configured for your provider count, your specialty mix, and your patient volume.

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