Apteryx — Implementation Playbook (DSO)

Executive Summary

Apteryx is a cloud-based diagnostic imaging platform that integrates image capture, storage, AI-assisted interpretation, and patient communication into a unified workflow. For Dental Service Organizations (DSOs), it consolidates imaging across multiple practices into a single, standardized system while enabling AI flagging, remote consultation, and patient engagement at scale.

Why DSOs specifically benefit: DSOs operate multiple locations with varying legacy systems. Apteryx enables centralized governance, standardized clinical protocols, consolidated AI training across patient populations, and economies of scale for licensing and support. A single admin can manage imaging workflows across 15+ practices simultaneously.

Expected timeline to full deployment: 12–16 weeks from kickoff to complete rollout with all practices live and staff proficient.

Pre-Implementation Checklist (Weeks 1-2)

Technical Requirements

Network & Infrastructure

• Confirm minimum 10 Mbps upload/download at each location (verify with ISP; request SLA)
• Audit existing WiFi: 5GHz capability, signal strength >–70 dBm at operatory
• Test VPN or cloud connectivity to Apteryx servers (request 48-hour trial access)
• Identify backup internet (4G failover or secondary ISP) for high-volume imaging centers
• Ensure HIPAA-compliant firewall rules and certificate-pinning support

Hardware Inventory

• Catalog all existing intraoral cameras, panoramic/CBCT units, and sensors
• Confirm Apteryx compatibility with each device (check approved manufacturer list)
• Identify computers/tablets for practice management integration
• Plan for edge devices (local servers) if cloud latency is an issue

Data Migration & Legacy Systems

• Export patient records and prior imaging from legacy systems (timeline: typically 2–4 weeks for >50K images)
• Identify encryption/DICOM requirements
• Plan archival of offline images; establish retention policy
• Ensure compliance with state/provincial imaging retention laws

Stakeholder Alignment

Executive Sign-Off

• Secure DSO COO and Chief Clinical Officer commitment to change management budget (typically 5–8% of project cost)
• Define success criteria: adoption rate (target >90% active use), time-per-image (benchmark: <3 min capture-to-review), patient satisfaction (NPS +5 points)
• Establish steering committee: DSO Head of IT, Clinical Director, 2–3 practice owners, Apteryx implementation lead

Clinical Leadership

• Schedule 1-hour session with lead clinicians at each pilot location
• Review workflow mockups; gather concerns around diagnostic speed, AI thresholds, and remote consultation logistics
• Agree on standardized protocols (e.g., which teeth trigger AI review, paramont-imaging rules)

Practice Staff

• Send 2-minute explainer video to front desk and clinical staff
• Highlight time savings (no more hunting legacy archives) and benefits (better patient education)
• Distribute FAQ addressing "Will this replace me?" and "What if I'm not tech-savvy?"

Baseline Metrics to Capture

Operational

• Imaging time per patient (operatory clock)
• Failed captures / retakes per day
• Time to clinician review (from capture to clinical action)
• Archival/retrieval time for prior images

Clinical

• Diagnostic confidence (clinician survey: 1–10 scale)
• AI flag accuracy (% of AI flags acted upon)
• Missed findings (baseline: review records pre- vs. post-implementation)

Financial

• Cost per image (license, hardware, support amortized)
• Revenue impact (new treatment plans identified via improved imaging)
• Staff overtime due to workarounds

Pilot Wave (Weeks 3-6)

Location Selection Criteria

Select 2 practices (ideally 1 high-volume, 1 mid-size):

• High-volume pilot (>400 images/week): Validates system performance under load; surfaces bottlenecks
• Mid-size pilot (150–250 images/week): Proves change management works in smaller, less tech-savvy environment
• Avoid: Brand-new locations (other variables); struggling practices (will blame Apteryx)
• Prioritize: Practices with engaged doctors and forward-thinking front-desk managers

Configuration and Setup

Week 3: Onsite Kickoff

• Deploy hardware (cameras, edge servers if needed) with IT staff present
• Run network diagnostics; confirm latency <200ms
• Migrate 6–12 months of legacy images (use Apteryx migration tools; verify DICOM integrity)
• Set up user accounts; enforce SSO/MFA

Week 4: Clinical Configuration

• Map operatory workflows: Which provider uses which camera? Standard imaging protocols per treatment type?
• Configure AI flagging rules (e.g., "flag all untreated caries," "flag bone loss >30%")
• Set up remote consultation workflows if multi-practice reviews are planned
• Define image auto-routing (e.g., perio cases → perio specialist dashboard)

Week 5: Training & Dry Run

• Conduct 4-hour in-person training (split: 2 hours clinical staff, 2 hours admin)
• Walk through: capture → review → AI feedback → patient export
• Hands-on drills with dummy patients (anonymized)
• Distribute quick-reference laminated cards for operatories

Week 6: Go-Live & Stabilization

• Run parallel with legacy system for 1 week (capture on both; compare)
• Assign a local "Apteryx Champion" per practice (super-user, on-call for questions)
• Monitor adoption daily; log all issues in shared tracker
• Conduct mini-debrief (Friday): What worked? What needs tweaking?

Scaled Rollout (Weeks 7-16)

Wave Planning

Wave 2 (Weeks 7–10): 4–5 mid-size practices

• Replicate pilot playbook with minor tweaks (lessons learned applied)
• Stagger go-lives by 1 week to prevent support bottlenecks
• Conduct 30-day check-in with Wave 1; document adoption metrics

Wave 3 (Weeks 11–14): Remaining practices + satellite locations

• Deploy standardized kit (pre-configured hardware, pre-built user accounts)
• Reduce onsite training to 2 hours (most staff trained via recorded sessions)
• Leverage Wave 1–2 champions as remote peer mentors

Wave 4 (Weeks 15–16): Final cleanup + optimization

• Backfill stragglers; address any network/integration gaps
• Conduct full-DSO training summit (1 day virtual): Best practices, advanced AI features, Q&A
• Lock down final baseline metrics

Change Management

Leadership

• Hold monthly steering committee calls; communicate wins early and often
• Celebrate milestones: "Practice X hit 95% AI-flag adoption" → recognize teams
• Share success stories (e.g., "Dr. Y identified 3 early-stage lesions with AI assist in Week 1")

Staff

• Weekly 10-minute "Tip Tuesday" emails (e.g., "Pro tip: Batch export images for patient education")
• Peer learning: Invite Wave 1 champions to present to Wave 3 practices
• Office contests: "Fastest capture time," "Best patient feedback" → small prizes

Patient-Facing

• Train front desk on demo talking points: "We've upgraded to 3D imaging for better diagnosis"
• Provide patient handouts explaining AI (non-technical; emphasize accuracy/safety)
• Update website with imaging capabilities and turnaround times

Support Infrastructure

Tiered Model

• Tier 1 (Practice Level): Local champion handles password resets, basic troubleshooting (phone/Slack)
• Tier 2 (DSO Hub): Dedicated Apteryx coordinator at DSO HQ; manages integrations, clinical protocols, training
• Tier 3 (Apteryx): Vendor support for bugs, infrastructure issues; 24/7 hotline for critical failures

Knowledge Management

• Create internal wiki with screenshares for common workflows
• Record all training sessions; archive on shared drive
• Monthly retrospective: What questions came up? Update docs.

ROI Tracking

Key Metrics to Measure