Straumann / ClearCorrect
Step-by-step implementation guide — pre-implementation checklist, onboarding, staff training, go-live runbook, and ROI tracking.
Straumann / ClearCorrect — Implementation Playbook (DSO)
Executive Summary
Straumann / ClearCorrect is a cloud-based digital orthodontic platform combining intraoral scanning, AI-powered treatment planning, and aligner manufacturing with integrated practice management workflows. For DSOs, it centralizes case logistics, standardizes clinical protocols across multiple locations, and creates a single revenue stream from direct-to-consumer and traditional referral cases.
Why DSOs benefit: Multi-location standardization, centralized case approval workflows, unified analytics across locations, and the ability to manage production logistics at scale. A single DSO can route cases to optimal production facilities and manage 500+ concurrent cases across 8+ practices from a central command center.
Timeline: 16 weeks to full deployment across 8-12 locations; 24 weeks to operational maturity with optimized workflows.
Pre-Implementation Checklist (Weeks 1-2)
Technical Requirements
- Network infrastructure: Verify 10+ Mbps download / 5 Mbps upload at all locations (scanner uploads are 200-400 MB per case)
- Device inventory: Plan 1-2 intraoral scanners per location (TRIOS or equivalent); 1 backup scanner recommended for 3+ doctor offices
- IT infrastructure: Confirm HIPAA-compliant cloud access, SSO integration with existing DSO identity management, and backup internet (LTE failover for scanning)
- Hardware refresh: Budget for scanner replacement every 3-4 years; current models cost $12K–$18K per unit
- Imaging room setup: 1 dedicated scanning station per 2 clinicians; adequate lighting and patient comfort (chair-side scanning requires ergonomic planning)
Stakeholder Alignment
Create a DSO steering committee (meets bi-weekly):
- Chief Clinical Officer or VP of Clinical Operations (owns protocol standardization)
- IT Director (infrastructure, data security, integrations)
- Operations Director (inventory, logistics, scheduling)
- Finance lead (cost allocation, revenue tracking by location)
- 1-2 practice directors from pilot locations
Secure buy-in from clinicians:
- Conduct 4-5 lunch-and-learns (30 min each) with doctors and hygienists
- Address concerns directly: scanning time (typically 3-5 min per patient), treatment planning approval workflows, and revenue impact
- Create a clinical advisory board of 2-3 respected orthodontists within the DSO to champion adoption
Baseline Metrics to Capture
Before any scanning begins, establish a data collection baseline (Weeks 1-2):
- Current new patient volume per location (30-day average)
- Average case acceptance rate (%)
- Average treatment duration (months)
- Current revenue per case (avg. treatment fee)
- Doctor chair time per case (planning + setup)
- Patient communication touchpoints (initial consult to treatment start)
- Inventory costs for traditional impression materials
- Current case approval cycle time (baseline: typically 5-7 days)
Document these in a shared DSO dashboard for real-time comparison post-launch.
Pilot Wave (Weeks 3-6)
Location Selection Criteria
Select 2-3 pilot locations based on:
- Clinical readiness: Doctor(s) with 5+ years experience, lower resistance to change, willingness to provide daily feedback
- Operational stability: Practices not undergoing staff transitions; sufficient administrative bandwidth for new workflows
- Patient volume: Minimum 30-40 new starts per month (enough to generate learning without overwhelming resources)
- Geographic distribution: If possible, select 1 urban + 1 suburban location to test logistics and network conditions
- Technology comfort: Identify sites with existing EMR adoption and positive digital adoption history
Red flags to avoid: Locations with recent leadership changes, practices in network instability zones, or doctors scheduled for sabbatical during pilot.
Configuration and Setup
Week 3 — Hardware deployment:
- Install scanners with tech support present; test with mock scans
- Calibrate imaging lighting and chair ergonomics
- Set up backup devices and power backup systems
- Confirm network bandwidth under peak scanning loads
Week 3-4 — Workflow mapping:
- Document current process: consult → impression → lab order → patient wait → delivery
- Map new process in ClearCorrect: scan → AI treatment preview → doctor review → patient approval → production
- Identify decision points: Who approves treatment plans? What's the approval SLA? How are patient concerns raised?
- Create standard operating procedures (SOPs) for exception handling (e.g., patient doesn't approve AI recommendation)
Week 4 — System configuration:
- Configure user roles: doctors (treatment planning), hygienists (scanning), staff (scheduling/logistics), practice manager (reporting)
- Integrate with existing practice management system (Ortho Insight, Dolphin, etc.) for scheduling and financial tracking
- Set up approval workflows (centralized DSO lead reviewing all treatment plans vs. local doctor review)
- Configure notification rules (doctor receives alert when scan uploaded, patient receives preview link 24 hrs post-scan)
Training Approach
Conduct role-specific, hands-on training (Weeks 4-5):
| Role | Focus | Format | Duration |
|---|---|---|---|
| Doctors | Treatment planning, AI tool interpretation, approval workflows | In-person workshop + 1-on-1 coaching | 4 hrs + ongoing |
| Hygienists | Scanning technique, patient communication, quality control | Hands-on lab + live patient shadowing | 6 hrs + supervised cases |
| Admin staff | Case logistics, patient communication, scheduling updates | Recorded + live Q&A | 2 hrs |
| DSO leadership | Analytics dashboard, multi-location reporting, exception escalation | Executive dashboard training | 3 hrs |
Establish a "superuser" at each pilot location — someone with strong clinical understanding + tech aptitude who becomes the go-to resource for troubleshooting and peer training.
Scaled Rollout (Weeks 7-16)
Wave Planning
Wave 1 (Weeks 7-9): 2 additional locations (choose based on pilot learnings; prioritize high-volume practices)
Wave 2 (Weeks 10-12): 3-4 locations (can now use trained superusers from Wave 1 as peer trainers)
Wave 3 (Weeks 13-16): Remaining locations; incorporate refined SOPs and case templates from Waves 1-2
For each wave, reduce onsite training support by 30% — by Wave 3, practice teams should be largely self-sufficient with DSO superuser mentorship and recorded resource library.
Change Management
Establish a change control process:
- Document resistance drivers: scanning time concerns, loss of autonomy over treatment planning, data privacy fears
- Create location-specific "change champions" (respected clinicians) to address peer concerns
- Share pilot results monthly (e.g., "Location A reduced time-to-treatment-start by 4 days"; "Patient preview approval rate: 94%")
- Host quarterly town halls for all locations to celebrate wins and address emerging issues
Manage the "comfort cliff":
Weeks 3-6 feel chaotic (slower initial workflows). By Week 8, efficiency gains become visible. Communicate this explicitly to prevent early abandonment.
Support Infrastructure
Create a multi-tier support model:
- Tier 1: In-location superuser (first response, typically answers within 2 hours)
- Tier 2: DSO clinical operations team (escalations, workflow optimization; 24-hr SLA)
- Tier 3: Straumann / ClearCorrect vendor support (technical issues, system bugs; 4-hr response)
Establish weekly DSO sync calls (30 min) with all practice directors to discuss blockers and share learnings.
ROI Tracking
Key Metrics to Measure
| Metric | Baseline Target | 90-Day Target | Unit |
|---|---|---|---|
| Time from scan to treatment start | 7 days | 3 days | Days |
| Patient acceptance rate (AI plan) | 82% | 92% | % |
| Case approval cycle time | 5 days | 1 day | Days |
| Impression material cost per case | $35 | $8 | $ |
| Doctor planning time per case | 25 min | 12 min | Minutes |
AI-generated implementation guide based on public vendor information. Verify specifics directly with Straumann / ClearCorrect.