uLab Systems
Step-by-step implementation guide — pre-implementation checklist, onboarding, staff training, go-live runbook, and ROI tracking.
uLab Systems — Implementation Playbook (DSO)
uLab Systems Implementation Playbook
AI-Powered Treatment Planning for DSOs
1. Executive Summary
What uLab Systems Does
uLab Systems is an AI-powered clear aligner and treatment planning platform that enables orthodontists and general dentists to design, visualize, and manufacture custom clear aligners in-house or through uLab's lab services. The platform uses advanced AI algorithms to automate tooth segmentation, treatment staging, and outcome prediction—reducing treatment planning time from hours to minutes while maintaining clinical precision.
Why DSOs Benefit from AI-Powered Treatment Planning at Scale
Standardization Advantage: uLab's AI ensures consistent treatment planning quality across all providers and locations, regardless of individual orthodontic experience levels. This creates predictable patient outcomes and reduces variability that often plagues multi-location operations.
Scale Economics: Centralized treatment planning workflows enable DSOs to leverage orthodontic expertise across the entire network. A single orthodontic director can review and approve plans from 30+ locations, dramatically improving specialist utilization.
Data Aggregation Power: With unified treatment data across all locations, DSOs gain unprecedented visibility into treatment acceptance rates, average case complexity, provider efficiency, and patient outcomes—enabling data-driven decisions about training, pricing, and growth.
Competitive Differentiation: Offering in-house aligner services with AI-powered precision positions DSOs against direct-to-consumer competitors while capturing margin typically lost to external labs.
Expected Timeline: Decision to Full Deployment
| Phase | Timeline | Scope |
|---|---|---|
| Pre-Implementation | Weeks 1–2 | Infrastructure, stakeholder alignment, baseline metrics |
| Pilot Wave | Weeks 3–6 | 2–3 locations |
| Wave 2 Expansion | Weeks 7–12 | 5–8 locations |
| Full Deployment | Weeks 13–20 | Remaining locations |
| Optimization | Weeks 20–28 | Network-wide refinement |
Total Timeline: 5–7 months for a 15–50 location DSO, depending on infrastructure readiness and change management velocity.
2. Pre-Implementation Checklist (Weeks 1–2)
Technical Requirements
Hardware Requirements (Per Location)
☐ Intraoral scanner compatible with uLab (iTero, 3Shape TRIOS, Medit, Carestream) — verify model and firmware version ☐ Workstation with minimum specs: Intel i7 (or equivalent), 16GB RAM, dedicated GPU, SSD storage ☐ Minimum 24" monitor (27" recommended) for treatment visualization ☐ Reliable internet: minimum 50 Mbps download/10 Mbps upload per location
Software Requirements
☐ Current version of Practice Management System (PMS) — document version numbers ☐ CBCT viewing software (if applicable) — confirm DICOM export capability ☐ Updated operating system (Windows 10/11 or macOS 12+) ☐ Modern browser (Chrome, Edge, or Safari — latest version)
Network Requirements
☐ Firewall configured to allow uLab cloud connections (specific ports/domains to whitelist) ☐ VPN compatibility verification if using centralized IT infrastructure ☐ SSL/TLS 1.2 or higher enabled ☐ Static IP addresses for locations requiring enhanced security protocols
🔵 Vendor Onboarding Steps
| Step | Owner | Timeline | Deliverable |
|---|---|---|---|
| Execute enterprise BAA | Legal + uLab | Day 1–3 | Signed BAA |
| Complete MSA and pricing schedule | Procurement + uLab | Day 1–5 | Executed contract |
| Assign dedicated Customer Success Manager | uLab | Day 3 | Named contact |
| Receive enterprise admin credentials | IT + uLab | Day 5 | Admin portal access |
| Schedule technical kickoff call | IT + uLab | Day 5–7 | Integration roadmap |
Key Contacts to Establish
| Role | Purpose | Typical Response Time |
|---|---|---|
| Customer Success Manager | Strategic alignment, escalations | 4 hours |
| Technical Integration Specialist | API, SSO, PMS connections | 8 hours |
| Clinical Training Lead | Provider education, workflow design | 24 hours |
| Support Tier 1 | Day-to-day troubleshooting | 2 hours |
| Support Tier 2 (Engineering) | Complex technical issues | 24–48 hours |
Data/Access Prerequisites
☐ Enterprise SSO configuration (SAML 2.0 or OAuth 2.0) — coordinate with uLab technical team ☐ API keys for PMS integration — request from PMS vendor ☐ Imaging archive access credentials (PACS or imaging software) ☐ Provider credentialing data (NPI numbers, state licenses) for each clinician ☐ Historical patient scan data for migration testing (de-identified sample set)
🟣 Internal Stakeholder Alignment
Stakeholder Alignment Map
| Stakeholder | Role in Implementation | Information Needs | Approval Required |
|---|---|---|---|
| Board/Investors | Strategic oversight | ROI projections, competitive positioning, timeline | Budget approval, strategic direction |
| CEO/President | Executive sponsorship | High-level milestones, risk summary | Go/no-go at wave gates |
| Chief Dental Officer | Clinical validation | Treatment quality standards, provider training plan | Clinical protocols, outcome metrics |
| VP of Operations | Implementation ownership | Detailed playbook, resource allocation, KPIs | Rollout sequence, staffing |
| CFO | Financial oversight | Cost model, ROI tracking framework | Capital expenditure, vendor terms |
| CTO/IT Director | Technical execution | Infrastructure requirements, security review | Architecture, integrations |
| Regional Managers | Field execution | Location-level plans, timeline, escalation paths | Location staffing, schedule adjustments |
| Office Managers | Local coordination | Training schedules, workflow changes, daily checklist | Local resource allocation |
| Providers | Clinical adoption | What changes for them, how AI assists (not replaces) | n/a (but critical buy-in) |
🟣 Approval Milestones
☐ Budget approval for enterprise license and implementation resources ☐ IT architecture approval for cloud integration and data flows ☐ Clinical protocol approval from CDO for AI-assisted treatment planning ☐ Legal/compliance sign-off on BAA and data governance ☐ HR approval for training time allocation
Baseline Metrics to Capture BEFORE Go-Live
⚠️ Critical: Establish standardized measurement methodology across all locations BEFORE implementation. Inconsistent baseline data makes ROI measurement impossible.
Metric Standardization Protocol
| Metric | Definition | Data Source | Measurement Frequency | Standardization Notes |
|---|---|---|---|---|
| Clear Aligner Case Acceptance Rate | Cases accepted ÷ Cases presented | PMS | Monthly | Ensure consistent "presented" definition across locations |
| Treatment Planning Time | Time from scan to patient-ready treatment plan | Manual tracking or PMS timestamps | Per case, reported weekly | Start/stop points must be identical |
| Revenue per Clear Aligner Case | Total collections ÷ Started cases | PMS + Accounting | Monthly | Include all associated fees |
| Case Turnaround Time | Days from scan to aligner delivery | PMS + Lab tracking | Per case | Lab vs. in-house cases tracked separately |
| Treatment Modification Rate | % of cases requiring mid-treatment plan changes | PMS or clinical notes | Monthly | Define what constitutes "modification" |
| Provider Utilization Rate | Clinical hours on aligner cases ÷ Total clinical hours | Schedule + PMS | Monthly | Critical for ROI calculation |
| Patient NPS for Aligner Cases | Standard NPS methodology | Patient survey | Ongoing | Consistent survey timing (post-delivery) |
Baseline Capture Checklist
☐ Deploy standardized metric definitions to all locations (create one-page reference guide) ☐ Verify data capture capabilities in current PMS ☐ Pull 3-month historical data for each metric ☐ Identify data gaps and implement manual tracking where needed ☐ Create baseline report template for cross-location comparison ☐ Store baseline data in centralized repository (not local spreadsheets)
Enterprise-Level Requirements
Network Standards Across Locations
☐ Document current network configurations for all locations ☐ Identify locations requiring network upgrades ☐ Establish minimum bandwidth standards (50 Mbps down/10 Mbps up) ☐ Create network upgrade project plan for non-compliant locations
Hosting Decision: 🟣 Centralized vs. Location-Level
| Factor | Centralized | Location-Level |
|---|---|---|
| Recommended for | DSOs with robust central IT, desire for unified data | DSOs with weak WAN connectivity, high location autonomy |
| Advantages | Single admin console, unified reporting, simplified updates | Lower WAN dependency, location-specific customization |
| Challenges | WAN dependency, single point of failure | Fragmented data, more admin overhead |
Recommendation: For 15–50 location DSOs, centralized hosting with local caching provides the best balance of control and reliability.
SSO Configuration
☐ 🔵 Request SSO technical requirements from uLab ☐ Configure identity provider (Okta, Azure AD, Google Workspace) ☐ Test SSO with pilot user accounts ☐ Document SSO troubleshooting procedures ☐ Plan for SSO-exempt break-glass accounts
Centralized Credentialing
☐ Compile provider roster with NPI, state licenses, specialties ☐ 🔵 Submit credentialing data to uLab for bulk account creation ☐ Define permission tiers (treatment planner, reviewer, approver, admin) ☐ Establish provider onboarding workflow for future hires ☐ Create offboarding checklist for departing providers
3. Location Readiness Assessment
Scoring Framework
Score each location on the following factors (1–5 scale), then calculate composite score.
Factor 1: IT Infrastructure Maturity (Weight: 25%)
| Score | Network Speed | Hardware Age | PMS Version | Overall IT |
|---|---|---|---|---|
| 5 | 100+ Mbps, redundant | < 2 years | Current version | Full-time IT support |
| 4 | 75–100 Mbps | 2–3 years | 1 version behind | Dedicated IT contact |
| 3 | 50–75 Mbps | 3–4 years | 2 versions behind | Shared IT support |
| 2 | 25–50 Mbps | 4–5 years | 3+ versions behind | Minimal IT support |
| 1 | < 25 Mbps, unreliable | 5+ years | Unsupported version | No IT support |
Factor 2: Staff Tenure and Adaptability (Weight: 20%)
| Score | Average Tenure | Annual Turnover | Tech Comfort | Training History |
|---|---|---|---|---|
| 5 | 5+ years | < 10% | High (tech-forward culture) | Regular tech training |
| 4 | 3–5 years | 10–15% | Above average | Some tech training |
| 3 | 2–3 years | 15–25% | Average | Basic training only |
| 2 | 1–2 years | 25–35% | Below average | Minimal training |
| 1 | < 1 year | > 35% | Low | No training history |
Factor 3: Patient Volume (Weight: 15%)
| Score | Monthly Patient Visits | Clear Aligner Cases/Month | Interpretation |
|---|---|---|---|
| 5 | 800+ | 20+ | Highest impact but requires robust support |
| 4 | 600–800 | 15–20 | High impact, manageable risk |
| 3 | 400–600 | 10–15 | Moderate impact |
| 2 | 200–400 | 5–10 | Lower impact |
| 1 | < 200 | < 5 | Low volume, may not be worth early prioritization |
Note: For pilot selection, score 3–4 is ideal (meaningful volume without overwhelming complexity).
Factor 4: Existing Tech Stack Compatibility (Weight: 25%)
| Score | PMS Integration | Imaging System | Scanner | Other Integrations |
|---|---|---|---|---|
| 5 | Native uLab integration | Direct DICOM export | uLab-preferred scanner | Clean tech stack |
| 4 | Supported integration | Standard export | Supported scanner | Minor workarounds |
| 3 | Partial integration | Manual export needed | Compatible scanner | Moderate complexity |
| 2 | Limited integration | Complex export | Limited compatibility | Significant workarounds |
| 1 | No integration path | No digital imaging | Incompatible scanner | Major tech debt |
Factor 5: Local Champion Availability (Weight: 15%)
| Score | Champion Profile | Availability | Influence |
|---|---|---|---|
| 5 | Tech-forward provider + engaged office manager | Dedicated time allocated | High respect from team |
| 4 | Either provider or manager champion | Partial time available | Good team relationships |
| 3 | Willing participant, not a driver | Limited time | Neutral influence |
| 2 | Reluctant participant | Very limited time | Minimal influence |
| 1 | No champion identified | No time commitment | Potential resistor |
Composite Score Calculation
Formula: (IT × 0.25) + (Staff × 0.20) + (Volume × 0.15) + (Tech Stack × 0.25) + (Champion × 0.15)
| Composite Score | Readiness Tier | Recommended Wave |
|---|---|---|
| 4.0–5.0 | Tier 1 | Wave 1 (Pilot) |
| 3.0–3.9 | Tier 2 | Wave 2 |
| 2.0–2.9 | Tier 3 | Wave 3 |
| < 2.0 | Tier 4 | Remediation required before deployment |
Rollout Sequence Recommendation
Wave 1 Selection Criteria (2–3 Locations)
☐ Composite score 4.0+ ☐ At least one location representative of your "average" practice profile ☐ At least one location with strong champion who can become train-the-trainer ☐ Geographic diversity if possible (tests support logistics) ☐ NOT your highest-volume flagship (too risky for pilot) ☐ NOT your most troubled location (pilot needs to succeed)
Wave 2 Selection Criteria (5–8 Locations)
☐ Composite score 3.0–3.9 ☐ Locations that will benefit most from learnings from Wave 1 ☐ Regional clustering to enable efficient training deployment
Wave 3 Selection (Remaining Locations)
☐ All remaining locations with composite score 2.0+ ☐ Locations with score < 2.0 require remediation plan
Remediation Planning for Low-Scoring Locations
For each location scoring below 2.0, create a remediation plan addressing: ☐ Infrastructure upgrades needed (timeline, budget, owner) ☐ Staff training prerequisites ☐ Champion recruitment or development ☐ Target date to achieve score 3.0+
4. Rollout Strategy
Recommended Wave Structure
For a 15–50 location DSO, we recommend a 3-wave rollout with built-in learning loops:
Wave 1 (Pilot) Wave 2 (Expansion) Wave 3 (Scale)
2–3 locations → 5–8 locations → Remaining locations
Weeks 3–6 Weeks 7–12 Weeks 13–20
Wave 1: Pilot Locations (Weeks 3–6)
Purpose: Validate integration, refine workflows, identify failure points, create training assets.
Selection Criteria:
- Highest readiness scores (4.0+)
- Engaged local champion
- Representative patient mix
- Not the flagship or highest-risk location
- Geographically accessible for hands-on support
Timeline:
| Week | Activities |
|---|---|
| Week 3 | Technical setup, integration testing, staff training |
| Week 4 | Go-live, daily check-ins, intensive support |
| Week 5 | Workflow refinement, issue resolution |
| Week 6 | Pilot assessment, documentation of learnings |
🟣 Go/No-Go Criteria: Wave 1 → Wave 2
| Criterion | Threshold | Owner |
|---|---|---|
| System uptime | > 99% during pilot | CTO |
| Integration stability | Zero data sync failures in Week 5–6 | IT Director |
| Training completion | 100% of pilot staff certified | Training Lead |
| Treatment plan quality | CDO approval of sample plans | Chief Dental Officer |
| User satisfaction | > 3.5/5 staff satisfaction score | VP Operations |
| Treatment acceptance rate | No decline vs. baseline | Regional Manager |
| Critical bugs resolved | Zero P1 issues open | uLab CSM |
⚠️ Common Wave 1 Failure Points:
- Integration issues discovered late in Week 3 (mitigate: earlier testing)
- Key staff member out during training week (mitigate: backup training dates)
- Champion leaves organization (mitigate: backup champion identified)
- Patient scheduling disruption (mitigate: buffer time in schedule during go-live week)
Wave 2: Expansion (Weeks 7–12)
Purpose: Scale validated workflows, test train-the-trainer model, stress-test support infrastructure.
Location Selection:
- Next tier of readiness scores (3.0–3.9)
- Regional clustering for efficient training
- Mix of practice profiles (GP-heavy vs. ortho-focused)
- Include at least one "challenging" location to test support model
Timeline per Location Cluster:
| Week | Activities |
|---|---|
| Week 7–8 | Technical setup for Wave 2 locations (can parallel) |
| Week 9 | Train-the-trainer certification for new champions |
| Week 10 | Go-live for first Wave 2 cluster (3–4 locations) |
| Week 11 | Go-live for second Wave 2 cluster (2–4 locations) |
| Week 12 | Wave 2 stabilization and assessment |
🟣 Go/No-Go Criteria: Wave 2 → Wave 3
| Criterion | Threshold | Owner |
|---|---|---|
| Wave 2 system stability | > 98% uptime across all Wave 2 locations | CTO |
| Train-the-trainer model validated | Champions successfully trained their teams | Training Lead |
| Support infrastructure scaled | Average issue resolution < 4 hours | VP Operations |
| Cross-location consistency | Workflow variation < 10% | Regional Managers |
| ROI trajectory | On track per projections | CFO |
| Provider adoption | > 80% of providers actively using | CDO |
Wave 3: Full Deployment (Weeks 13–20)
Purpose: Complete network rollout, transition to steady-state operations.
Approach:
- Deploy in regional clusters (4–8 locations per week)
- Champions conduct all training with central team oversight
- Reduced hands-on support (champions handle first-level issues)
- Focus on consistency and documentation
Timeline:
| Week | Activities |
|---|---|
| Weeks 13–14 | Wave 3 Cluster 1 deployment |
| Weeks 15–16 | Wave 3 Cluster 2 deployment |
| Weeks 17–18 | Wave 3 Cluster 3 deployment |
| Weeks 19–20 | Final locations + remediated Tier 4 locations |
Rollback Plan
Trigger Conditions for Rollback
- System uptime < 95% for 48+ hours
- Data integrity issues (patient data corruption or loss)
- Integration failure causing PMS disruption
- Clinical safety concern identified by CDO
- Provider refusal rate > 25% at a location
Rollback Procedure
Per-Location Rollback (does not affect other locations):
- CDO or VP Ops makes rollback decision
- Notify uLab support immediately (escalation to Tier 2)
- Disable uLab integration at the location
- Revert to previous workflow (manual treatment planning)
- Communicate to location staff (use prepared script)
- Document all issues in detail
- Schedule post-mortem within 48 hours
- Create remediation plan before re-attempting
Wave-Level Rollback (pause entire wave):
- 🟣 CEO/CDO approval required
- Pause all in-progress deployments
- Stabilize existing live locations (do not roll back if stable)
- Conduct emergency post-mortem
- Communicate to all stakeholders
- Revised timeline within 5 business days
Isolation Architecture
- Ensure Wave 2 and Wave 3 deployments are technically isolated from pilot
- Location-level issues should not cascade to other locations
- Central dashboard should remain operational even if individual locations fail
5. Configuration & Integration (Weeks 2–3)
Step-by-Step Integration: Practice Management Systems
Dentrix Enterprise Integration
| Step | Action | Owner | Duration | Vendor Involvement |
|---|---|---|---|---|
| 1 | 🔵 Request Dentrix API credentials from Henry Schein | IT | 3–5 days | None |
| 2 | 🔵 Obtain uLab integration module from uLab | IT | 1–2 days | uLab provides |
| 3 | Configure Dentrix server for external API access | IT | 2–4 hours | None |
| 4 | 🔵 Install uLab connector on Dentrix server | IT + uLab | 2 hours | uLab support |
| 5 | Map patient data fields (name, DOB, chart#) | IT | 1 hour | None |
| 6 | Map provider credentials | IT | 30 min | None |
| 7 | ⚠️ Test patient sync with sample data | IT | 2 hours | None |
| 8 | Configure appointment type triggers | IT | 1 hour | None |
| 9 | Enable production sync | IT | 30 min | None |
| 10 | Document configuration for other locations | IT | 1 hour | None |
⚠️ Common Dentrix Integration Failures:
- Firewall blocking outbound API calls (verify whitelist)
- Dentrix version incompatibility (verify minimum version with uLab)
- Incorrect field mapping causing patient mismatch
- Appointment triggers not firing (check trigger configuration)
Eaglesoft Integration
| Step | Action | Owner | Duration | Vendor Involvement |
|---|---|---|---|---|
| 1 | Verify Eaglesoft version (19.0+ required) | IT | 30 min | None |
| 2 | 🔵 Enable Eaglesoft API module (may require Patterson activation) | IT | 1–3 days | Patterson support |
| 3 | 🔵 Download uLab Eaglesoft connector | IT | 30 min | uLab provides |
| 4 | Install connector on workstation/server | IT | 1 hour | None |
| 5 | Configure database connection string | IT | 30 min | None |
| 6 | Map required data fields | IT | 1 hour | None |
| 7 | Test bidirectional sync | IT | 2 hours | None |
| 8 | Configure automatic sync schedule | IT | 30 min | None |
| 9 | Validate sync in production | IT | 1 hour | None |
Open Dental Integration
| Step | Action | Owner | Duration | Vendor Involvement |
|---|---|---|---|---|
| 1 | Enable Open Dental API (Setup > Misc > API) | IT | 15 min | None |
| 2 | Create API user credentials | IT | 15 min | None |
| 3 | 🔵 Enter Open Dental API credentials in uLab admin portal | IT | 30 min | None |
| 4 | Configure eConnector settings | IT | 1 hour | None |
| 5 | Map patient/provider fields | IT | 30 min | None |
| 6 | Test patient search and sync | IT | 1 hour | None |
| 7 | Enable treatment plan writeback | IT | 30 min | None |
| 8 | Validate end-to-end workflow | IT | 1 hour | None |
Note: Open Dental's open architecture typically makes it the easiest PMS integration.
Imaging System Integration
Scanner Integration (iTero, 3Shape, Medit)
| Scanner | Integration Method | Setup Time | Notes |
|---|---|---|---|
| iTero | Direct cloud sync via Align Technology | 2–4 hours | 🔵 Requires iTero cloud account linkage |
| 3Shape TRIOS | 3Shape Communicate export | 2–3 hours | Configure auto-export to uLab |
| Medit | Medit Link direct export | 1–2 hours | Most straightforward setup |
| Carestream | STL file export | 1 hour | Manual or semi-automated workflow |
Scanner Setup Checklist
☐ Verify scanner firmware is current version ☐ 🔵 Obtain scanner cloud credentials (if cloud-based export) ☐ 🔵 Link scanner account to uLab (instructions vary by scanner) ☐ Configure export format (STL preferred, open bite scan protocol) ☐ Test export with sample scan ☐ Train operators on scan-to-uLab workflow ☐ Document scanner-specific workflows per location
CBCT Integration (If Applicable)
☐ Configure CBCT software for DICOM export ☐ 🔵 Verify uLab accepts your CBCT DICOM format ☐ Test upload workflow with sample CBCT ☐ Document integration for applicable locations
Test Environment Setup
🔵 Centralized Test Environment (Recommended for DSO)
☐ Request dedicated test tenant from uLab ☐ Configure test tenant to mirror production settings ☐ Create test patient records (use synthetic data) ☐ Link test PMS environment (if available) ☐ Document test environment access credentials ☐ Restrict test environment to IT and implementation team only
Validation Checklist
| Test Case | Expected Result | Pass/Fail | Notes |
|---|---|---|---|
| Patient sync from PMS | Patient appears in uLab within 5 minutes | ||
| Scan upload from scanner | Scan appears in uLab within 10 minutes | ||
| Treatment plan creation | AI generates plan in < 15 minutes | ||
| Plan modification | Changes save and display correctly | ||
| Plan approval workflow | Approval status updates in PMS | ||
| Provider assignment | Correct provider linked to case | ||
| Multi-user concurrent access | No data conflicts or locks | ||
| Offline mode (if applicable) | Graceful degradation | ||
| Report generation | Reports generate accurately | ||
| Audit log capture | All actions logged |
Data Migration (If Applicable)
Historical Case Migration
⚠️ Important: Not all DSOs need to migrate historical data. Evaluate cost/benefit.
Migration Decision Criteria:
- Active treatment cases (in progress): Must migrate
- Recently completed cases (< 6 months): Recommended for reference
- Older completed cases: Usually not worth migrating
Migration Steps (if proceeding)
☐ 🔵 Request data migration template from uLab ☐ Extract patient/case data from current system ☐ Transform data to uLab import format ☐ Validate data integrity (spot check 5% of records) ☐ 🔵 Submit data to uLab for import ☐ 🔵 Verify import in test environment ☐ ⚠️ Validate migrated data with clinical team ☐ Approve migration to production
Security and HIPAA Compliance Verification
Enterprise-Level HIPAA Checklist
| Requirement | Action | Owner | Status |
|---|---|---|---|
| Business Associate Agreement | 🔵 Execute BAA with uLab | Legal | ☐ |
| Data Encryption at Rest | Verify uLab's encryption standards (AES-256) | IT/Security | ☐ |
| Data Encryption in Transit | Confirm TLS 1.2+ for all connections | IT | ☐ |
| Access Controls | Configure role-based access in uLab | IT | ☐ |
| Audit Logging | Verify comprehensive audit trail capability | Compliance | ☐ |
| Data Retention Policy | Align uLab retention with DSO policy | Compliance | ☐ |
| Data Deletion Procedures | Document process for patient data deletion requests | Compliance | ☐ |
| Breach Notification | Confirm uLab's breach notification procedures | Legal | ☐ |
| Subcontractor Management | 🔵 Review uLab's subcontractor list | Legal | ☐ |
| Physical Security | 🔵 Request SOC 2 report from uLab | IT/Security | ☐ |
| Disaster Recovery | 🔵 Review uLab's DR/backup procedures | IT | ☐ |
Data Governance Framework
☐ 🟣 Define data ownership policy (DSO owns patient data) ☐ Document data flow architecture (where data resides, how it moves) ☐ Establish data access request procedures ☐ Create data breach response playbook ☐ Assign data governance owner (typically Compliance or IT)
Configuration Standardization
Standardized Configuration Template (Apply to ALL Locations)
| Setting | Standardized Value | Rationale |
|---|---|---|
| Treatment complexity tiers | Use uLab defaults (Simple/Moderate/Complex) | Enables cross-location comparison |
| Approval workflow | CDO or designated ortho reviews all complex cases | Quality control |
| Notification preferences | Email + in-app for treatment approvals | Consistency |
| Export format | PDF + STL | Universality |
| Retention period | 10 years | Compliance |
| Audit log level | Full (all user actions) | Compliance |
| Default treatment views | Standardized 4-view layout | Training consistency |
Location-Specific Configuration (May Vary)
| Setting | Variability Allowed | Approval Required |
|---|---|---|
| Provider assignments | Based on local staffing | Office Manager |
| Operating hours for notifications | Per location schedule | None |
| Scanner model settings | Based on equipment | None |
| Specialty case routing | Based on provider capabilities | Regional Manager |
| Patient communication templates | Minor localization | Marketing approval |
| Local administrator permissions | Based on management structure | VP Operations |
6. Team Training Plan
Train-the-Trainer Model Overview
Structure
Central Training Team → Regional Champions → Location Champions → Location Staff
Champion Selection Criteria
| Criterion | Weight | Evaluation Method |
|---|---|---|
| Technical comfort | 25% | Self-assessment + manager input |
| Communication skills | 25% | Observation, peer feedback |
| Respect from team | 20% | Manager assessment |
| Availability | 15% | Schedule review |
| Tenure (> 1 year preferred) | 10% | HR data |
| Interest/enthusiasm | 5% | Volunteer basis preferred |
Champion Responsibilities
☐ Complete champion certification training (8 hours) ☐ Train all location staff on uLab workflows ☐ Serve as first point of contact for questions ☐ Participate in weekly champion check-ins ☐ Report issues to regional manager/central team ☐ Train new hires ☐ Provide feedback to central team on workflow improvements
AI-generated implementation guide based on public vendor information. Verify specifics directly with uLab Systems.