VideaHealth — Implementation Playbook (DSO)

VideaHealth Implementation Playbook

Diagnostic AI for Dental Imaging: A Strategic Deployment Guide for DSOs

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1. Executive Summary

What VideaHealth Does

VideaHealth is an FDA-cleared AI diagnostic platform that analyzes dental radiographs in real-time to detect caries, calculus, bone loss, and other pathology with clinical-grade accuracy. The system integrates with existing imaging workflows and practice management systems, overlaying AI-detected findings directly on X-rays while providers review them, serving as an objective "second set of eyes" that standardizes diagnostic interpretation across your entire organization.

Why DSOs Specifically Benefit from Diagnostic AI at Scale

Standardization of Care Quality: In a 15–50 location portfolio, diagnostic consistency is nearly impossible to maintain through training alone. Provider experience levels vary dramatically—from new associates to 30-year veterans—and so do diagnostic patterns. VideaHealth creates a consistent diagnostic baseline across all locations, reducing the variance that leads to both over-diagnosis (legal liability, patient trust erosion) and under-diagnosis (clinical risk, missed revenue).

Data Aggregation for Strategic Decision-Making: At enterprise scale, VideaHealth generates unprecedented visibility into diagnostic patterns across your organization. You can identify which locations have higher rates of missed pathology, benchmark provider performance objectively, and correlate diagnostic patterns with case acceptance and production. This data layer doesn't exist without AI.

Operational Leverage: Training 200+ providers to a consistent standard is expensive and never truly complete given turnover. AI provides persistent, tireless consistency. Your investment in deployment pays dividends every day, at every location, without degradation.

Defensible Diagnosis: In an era of increasing dental litigation, AI-verified diagnostics create a documentation trail that demonstrates standard-of-care adherence. This is a board-level risk mitigation play, not just a clinical tool.

Expected Timeline: Decision to Full Deployment

Phase	Duration	Milestone
Pre-Implementation	Weeks 1–2	Technical readiness, stakeholder alignment, baseline metrics
Pilot Wave (2–3 locations)	Weeks 3–6	Full deployment and optimization at pilot sites
Wave 2 (5–8 locations)	Weeks 7–10	Expanded rollout with learnings incorporated
Wave 3+ (Remaining locations)	Weeks 11–18	Full portfolio deployment
Optimization	Weeks 19–24	Enterprise-wide refinement and ROI validation

Total Timeline: 5–6 months for a 30-location DSO, assuming no major infrastructure deficits. Organizations with significant hardware or network gaps should add 4–6 weeks for remediation before Wave 1.

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2. Pre-Implementation Checklist (Weeks 1–2)

Technical Requirements

Hardware Requirements

☐ Workstation specifications audit across all locations (minimum: Windows 10/11, 8GB RAM, dedicated GPU recommended for optimal performance) ☐ Monitor resolution verification (minimum 1920x1080; diagnostic monitors preferred for clinical workstations) ☐ Digital sensor/phosphor plate compatibility confirmation with VideaHealth 🔵 ☐ Server capacity assessment if self-hosted component required

Software Requirements

☐ Practice Management System (PMS) version audit—document version numbers at each location ☐ Imaging software version documentation (Dexis, XDR, Apteryx, Patterson, etc.) ☐ Operating system version confirmation and update schedule ☐ Browser requirements for web-based components (Chrome/Edge, current version)

Network Requirements

☐ Internet speed testing at all locations (minimum 50 Mbps download, 10 Mbps upload recommended) ⚠️ ☐ Network security assessment—firewall rules that may block API calls ☐ VLAN configuration review if imaging systems are network-segmented ☐ WiFi vs. hardwired connection audit for clinical workstations

Integration Requirements

☐ Document current imaging workflow (sensor → software → storage → PMS) ☐ Identify integration points (DICOM server, PACS, direct PMS integration) ☐ API availability confirmation from PMS vendor ☐ Legacy system identification that may require workarounds

Vendor Onboarding Steps

☐ Execute enterprise Master Services Agreement (MSA) 🔵 🟣 ☐ Execute Business Associate Agreement (BAA) 🔵 🟣 ☐ Confirm pricing model (per-provider, per-location, per-image) and volume commitments 🟣 ☐ Establish dedicated account manager contact 🔵 ☐ Establish technical implementation lead contact 🔵 ☐ Establish 24/7 support escalation path 🔵 ☐ Schedule kickoff call with cross-functional team 🔵 ☐ Receive and review enterprise implementation timeline from vendor 🔵 ☐ Confirm training resource availability (vendor trainers, materials, certification) 🔵

Data/Access Prerequisites

☐ Generate list of all locations with unique site identifiers ☐ Create master user list: providers, hygienists, and key administrative staff per location ☐ Establish SSO integration requirements with IT team ☐ Prepare API credentials from PMS vendor (if applicable) ☐ Document imaging archive locations and access permissions ☐ Identify historical image volume (for AI baseline training if applicable) 🔵 ☐ Prepare NPI numbers for all providers ☐ Confirm state licensing documentation is current for all providers

Internal Stakeholder Alignment

Stakeholder Alignment Map 🟣

Stakeholder Level	Who	Their Concern	Communication Need
Board/Investors	Board members, PE sponsors	ROI, risk, competitive positioning	Quarterly updates, milestone notifications
C-Suite	CEO, CFO, CDO	Strategic alignment, budget, clinical standards	Weekly during implementation, monthly post-launch
VP of Operations	You	Execution, timeline, resource allocation	Daily during active waves
Chief Dental Officer	CDO/Clinical Director	Clinical validity, provider adoption, liability	Weekly during implementation
Regional Managers	Regional/District Managers	Location readiness, staff capacity, local issues	Weekly during their region's wave
Location Office Managers	Individual OMs	Training logistics, workflow disruption, patient communication	Bi-weekly leading up to go-live
Providers	Dentists, Specialists	Workflow impact, clinical trust, autonomy	Direct training, concerns addressed before go-live
Clinical Staff	Hygienists, Assistants	Role clarity, workload impact	Training, ongoing support
Administrative Staff	Front desk, Billing	Process changes, patient questions	Training, scripts, resources

Approvals Required 🟣

☐ Board/PE approval for capital expenditure (if above threshold) ☐ CEO sign-off on vendor selection and timeline ☐ CFO approval of budget allocation and payment schedule ☐ CDO approval of clinical workflow changes ☐ Legal review of MSA and BAA ☐ Compliance review of HIPAA/security documentation ☐ IT sign-off on technical architecture

Baseline Metrics Capture ⚠️

Critical: Capture these metrics BEFORE any location goes live. Without baseline data, ROI calculation is impossible and stakeholder credibility suffers.

Standardized Metrics Framework (Capture Identically Across All Locations)

Metric Category	Specific Metric	Data Source	Capture Method
Diagnostic Accuracy	Findings per BWX series (average)	Clinical notes + imaging	Manual audit of 50 charts/location
Diagnostic Accuracy	Restorative diagnosis rate (%)	PMS production reports	Automated pull from PMS
Diagnostic Consistency	Variance in caries detection rate by provider	PMS	Automated pull, calculate std deviation
Case Acceptance	Treatment plan acceptance rate (%)	PMS	Automated pull
Case Acceptance	Average time from diagnosis to treatment acceptance	PMS	Automated pull
Production	Restorative production per provider per month	PMS	Automated pull
Production	Perio production per provider per month	PMS	Automated pull
Revenue Cycle	Claim denial rate (%)	Clearinghouse + PMS	Automated pull
Revenue Cycle	Time to payment (days)	PMS	Automated pull
Patient Experience	Patient wait time (chair time per visit)	PMS	Automated or manual audit
Patient Experience	Recare appointment adherence (%)	PMS	Automated pull
Operational	Average image retake rate	Imaging software logs	Manual or automated audit

Data Collection Protocol

☐ Designate one analyst to own baseline metric collection across all locations ☐ Define reporting period (recommend: trailing 90 days) ☐ Pull automated reports from PMS central data warehouse ☐ Conduct manual chart audits at each location (minimum 50 charts) for metrics requiring clinical review ☐ Document any locations with data quality issues that may skew baseline ☐ Store baseline data in centralized location with date stamp ☐ Present baseline report to leadership before proceeding 🟣

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3. Location Readiness Assessment

Scoring Framework

Rate each location 1–5 on each factor below. Sum for composite score (max 25).

Factor 1: IT Infrastructure Maturity

Score	Criteria
5	Fiber internet, <3 year old workstations, current OS, modern digital sensors
4	Cable internet >50 Mbps, 3–5 year old workstations, current PMS version
3	Cable internet 25–50 Mbps, 5–7 year old workstations, PMS version 1–2 behind current
2	DSL or unreliable connection, >7 year old workstations, significantly outdated PMS
1	Major infrastructure deficits requiring capital investment before deployment

Factor 2: Staff Tenure and Adaptability

Score	Criteria
5	<15% annual turnover, history of successful tech adoption, proactive training culture
4	15–25% turnover, neutral tech adoption history, adequate training participation
3	25–35% turnover, mixed tech adoption history, training compliance issues
2	35–50% turnover, resistance to previous tech changes, minimal training engagement
1	>50% turnover, active resistance to change, leadership vacuum

Factor 3: Patient Volume (Impact Potential)

Score	Criteria
5	Top quartile patient volume with manageable growth trajectory
4	Above average volume, stable operations
3	Average volume, predictable flow
2	Below average volume, inconsistent scheduling
1	Lowest quartile volume or highly erratic patterns

Factor 4: Existing Tech Stack Compatibility

Score	Criteria
5	PMS and imaging software on VideaHealth's certified integration list, cloud-connected
4	PMS on certified list, imaging software requires minor configuration
3	PMS on certified list, imaging software requires workaround or bridge solution
2	PMS not on certified list but API available, imaging compatibility unclear 🔵
1	Legacy systems requiring significant custom development or replacement

Factor 5: Local Champion Availability ⚠️

Score	Criteria
5	Tech-forward provider or OM actively requesting AI tools, proven change agent
4	Engaged provider or OM with strong influence, willing to lead adoption
3	Neutral leadership, will comply but not champion
2	Leadership stretched thin, no clear owner for initiative
1	Active skeptics in leadership positions, known resistance to previous changes

Composite Score Interpretation

Total Score	Readiness Tier	Rollout Recommendation
21–25	Tier A: High Readiness	Strong Wave 1 candidate
16–20	Tier B: Moderate Readiness	Wave 2 candidate
11–15	Tier C: Low Readiness	Wave 3 candidate with remediation
5–10	Tier D: Not Ready	Defer until prerequisites addressed

Recommended Rollout Sequence

Wave 1 Selection Criteria (2–3 locations)

☐ At least one Tier A location with composite score 22+ ☐ Representative of broader portfolio (mix of urban/suburban, practice sizes, patient demographics) ☐ Geographic distribution allows in-person support from regional manager ☐ Champion provider who can become enterprise trainer/advocate ☐ No major scheduled disruptions (construction, provider transitions, etc.)

Portfolio Mapping Exercise 🟣

Create a master spreadsheet with all locations scored. Present to leadership for Wave 1 selection approval. Document selection rationale.

Location	IT Score	Staff Score	Volume Score	Tech Stack Score	Champion Score	Total	Wave
Loc A	5	4	5	5	5	24	1
Loc B	4	4	4	5	4	21	1
...	...	...	...	...	...	...	...

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4. Rollout Strategy

Wave Structure

Recommended Wave Model for 30-Location DSO

Wave	# Locations	Duration	Purpose
Wave 1 (Pilot)	2–3	4 weeks	Validate integration, refine training, identify issues
Wave 2 (Early Majority)	6–8	3 weeks	Scale learnings, stress-test support model
Wave 3 (Late Majority)	10–12	3 weeks	Accelerate with proven playbook
Wave 4 (Final)	Remaining	3 weeks	Complete deployment, address outliers

Buffer Period Between Waves: Minimum 1 week for learning capture, playbook updates, and go/no-go assessment.

Wave 1 Pilot Location Selection Criteria

☐ Composite readiness score ≥22 ☐ Champion provider identified and committed ☐ Office manager tenure >12 months ☐ No provider transitions planned in next 90 days ☐ Imaging system on VideaHealth certified list 🔵 ☐ Regional manager available to be on-site for go-live ☐ Geographic proximity to at least one other pilot location (enables peer learning) ☐ Patient volume sufficient to generate meaningful data within 30 days (minimum 150 BWX series/month)

Detailed Wave Timeline

Wave 1: Weeks 3–6

Week	Activity	Owner
Week 3	Configuration and integration at pilot sites	IT + Vendor 🔵
Week 4	Champion training, parallel testing	Champions + Vendor 🔵
Week 5	Go-live at Pilot 1, monitor intensively	All teams
Week 5 (Day 3)	Go-live at Pilot 2–3 (staggered)	All teams
Week 6	Daily optimization, issue resolution, learning capture	Central team

Wave 2: Weeks 7–10

Week	Activity	Owner
Week 7	Wave 1 debrief, playbook refinement	Central team
Week 7	Wave 2 configuration begins 🔵	IT + Vendor
Week 8	Champion training (train-the-trainer model)	Pilot champions + Vendor
Week 9	Wave 2 go-live (3–4 locations, staggered over 5 days)	Regional + Champions
Week 10	Wave 2 continued go-live + optimization	Regional + Champions

Wave 3+: Weeks 11–18

Continue pattern with accelerating pace as playbook matures. Target 4–5 locations per week once fully ramped.

Go/No-Go Criteria Between Waves 🟣

Required to Advance (All Must Be Met)

☐ 85%+ of providers at current wave locations actively using AI-assisted diagnosis ☐ No unresolved Severity 1 or 2 technical issues ☐ Champion training completion at next wave locations ☐ Integration configuration validated at next wave locations ☐ No provider/staff departures that eliminate local champion role ☐ Support team capacity confirmed for additional locations

Warning Signs Requiring Review

• Provider adoption below 70% at any location
• More than 3 escalations to vendor support per location in first week
• Patient complaints specifically citing AI or technology
• Workflow causing appointment delays >10 minutes

Rollback Plan ⚠️

Triggers for Rollback Decision 🟣

• Critical integration failure affecting patient care
• Data security incident
• Widespread provider refusal to use (>30% of providers)
• Persistent workflow disruption after 2 weeks of troubleshooting

Rollback Protocol

1. Immediate (Same Day): Disable AI overlay at affected location(s), revert to pre-implementation workflow
2. Within 48 Hours: Document failure mode, conduct root cause analysis with vendor 🔵
3. Within 1 Week: Present remediation plan to leadership 🟣
4. Hold: Pause all subsequent waves until remediation validated at failed location
5. Communicate: Notify all stakeholders per communication plan

Rollback Does Not Require

• Uninstalling software (can remain dormant)
• Reverting PMS configurations (can coexist)
• Informing patients (unless patient-facing component affected)

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5. Configuration & Integration (Weeks 2–3)

Step-by-Step PMS Integration

Dentrix (Henry Schein One)

Step	Action	Owner	Time
1	Confirm Dentrix version (G7.4+ required)	IT	10 min/location
2	Enable eCentral API if not active 🔵	IT + HSOne Support	1–2 hours
3	Generate API credentials in Dentrix	IT	15 min
4	Provide credentials to VideaHealth for integration setup 🔵	IT	5 min
5	VideaHealth configures integration bridge 🔵	Vendor	1–2 days
6	Test patient data sync (pull test patient, verify demographics)	IT	30 min
7	Test image association (capture test X-ray, confirm in VideaHealth)	IT + Clinical	30 min
8	Test findings writeback (if applicable)	IT + Clinical	30 min

⚠️ Common Issue: Dentrix firewall settings blocking API calls. Solution: Whitelist VideaHealth IP ranges in Dentrix Hub.

Eaglesoft (Patterson)

Step	Action	Owner	Time
1	Confirm Eaglesoft version (21+ recommended)	IT	10 min/location
2	Enable Patterson Imaging Bridge	IT	30 min
3	Configure DICOM export settings	IT	45 min
4	Provide PACS connection details to VideaHealth 🔵	IT	15 min
5	VideaHealth establishes image pipeline 🔵	Vendor	1–2 days
6	Test image flow end-to-end	IT + Clinical	45 min

⚠️ Common Issue: Legacy Patterson Imaging versions not supporting DICOM. May require upgrade before implementation.

Open Dental

Step	Action	Owner	Time
1	Confirm Open Dental version (current stable)	IT	10 min
2	Enable API module in Open Dental	IT	15 min
3	Generate API key in Open Dental	IT	10 min
4	Configure imaging bridge settings	IT	30 min
5	Provide API credentials to VideaHealth 🔵	IT	5 min
6	VideaHealth completes integration 🔵	Vendor	1–2 days
7	Validate bidirectional data flow	IT + Clinical	45 min

Note: Open Dental's open API architecture typically results in faster integration. Budget less time for this PMS.

Imaging System Integration

Step-by-Step for Common Imaging Platforms

Imaging System	Integration Method	Special Requirements
Dexis (Envista)	Direct DICOM	Dexis Imaging Suite 10+
Patterson Imaging	DICOM via bridge	Patterson Imaging Hub
Apteryx XrayVision	DICOM or file-based	Server configuration required
Carestream	DICOM	CS Imaging Suite
Planmeca Romexis	DICOM	Romexis 6+
Schick by Danaher	DICOM via CDR	CDR DICOM module

Universal Integration Steps

☐ Verify sensor/imaging software on VideaHealth compatibility list 🔵 ☐ Confirm DICOM server IP and port accessible from workstations ☐ Configure imaging software to export to VideaHealth endpoint ☐ Test image capture → AI analysis → overlay display cycle ☐ Verify image quality meets AI analysis requirements (resolution, exposure) ☐ Document imaging software settings for rollout replication

Test Environment Setup

Centralized Test Environment (Recommended for DSO)

☐ Configure sandbox instance of PMS (use demo database, not production) 🟣 ☐ Establish test patient records with sample imaging ☐ Configure VideaHealth test instance separate from production 🔵 ☐ Create test user accounts for IT validation ☐ Document test environment access and credentials ☐ Establish process for promoting tested configurations to production

Validation Checklist Per Location

Test	Expected Result	Pass/Fail
Patient lookup from PMS	Patient demographics display in VideaHealth	☐
Image capture workflow	Image appears in VideaHealth within 30 seconds	☐
AI analysis execution	Findings overlay displays on image	☐
Provider review workflow	Findings can be accepted/modified/rejected	☐
Findings documentation	Accepted findings appear in patient record	☐
Multi-user access	Different providers see appropriate patient lists	☐
Performance test	Analysis completes in <5 seconds	☐

Data Migration / Historical Ingestion

If Historical Analysis Desired 🔵 🟣

Step	Action	Owner	Time
1	Determine historical date range (recommend: 2 years)	Leadership	Decision
2	Estimate image volume with vendor 🔵	IT	2 hours
3	Negotiate historical analysis pricing/timeline 🔵	Finance	Variable
4	Export historical images to secure staging area	IT	2–8 hours/location
5	Provide secure transfer credentials to vendor 🔵	IT	30 min
6	Vendor processes historical images 🔵	Vendor	2–4 weeks
7	Validate historical analysis availability	IT + Clinical	2 hours

Note: Historical analysis is optional but valuable for establishing diagnostic baseline and retrospective quality review.

Security and HIPAA Compliance Verification

Enterprise-Level HIPAA Checklist 🟣

Requirement	Verification Method	Owner	Status
Business Associate Agreement executed	Document on file	Legal	☐
SOC 2 Type II report reviewed	Vendor provides report 🔵	Compliance	☐
HITRUST certification confirmed	Vendor provides certificate 🔵	Compliance	☐
Data encryption at rest verified	Vendor documentation 🔵	IT Security	☐
Data encryption in transit verified	Network analysis + vendor docs	IT Security	☐
Access controls documented	Review vendor RBAC model 🔵	IT Security	☐
Audit logging confirmed	Vendor demonstrates capability 🔵	Compliance	☐
Data retention policy aligned	Compare vendor policy to org policy	Compliance	☐
Breach notification process documented	Review vendor incident response 🔵	Compliance	☐
Minimum necessary access enforced	Review user permission model	IT Security	☐

Network Security Requirements

☐ SSL/TLS encryption on all API connections ☐ VideaHealth IP ranges whitelisted in firewall ☐ Outbound connection logging enabled ☐ No PHI transmitted via email or unsecured channels ☐ VPN required for remote access (if applicable)

Configuration Standardization

Standardize Centrally (Identical Across All Locations)

Setting	Standard Value	Rationale
AI sensitivity threshold	Vendor default or CDO-approved	Diagnostic consistency
Finding categories enabled	All FDA-cleared findings	Complete diagnostic picture
Overlay display style	Consistent color coding	Provider training efficiency
Auto-documentation rules	Per CDO specifications	Compliance consistency
Report templates	Enterprise standard	Brand consistency
User role definitions	Standardized RBAC	Security consistency
Alert/notification settings	Per clinical protocol	Safety consistency

Allow Local Discretion

Setting	Variation Allowed	Approval Needed
Provider-specific display preferences	Color, contrast, zoom defaults	None
Specialty-specific workflows	Perio vs. general settings	Regional Manager
Work hours/availability settings	Per location schedule	Office Manager
Patient communication templates	Minor customization	Regional Manager

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6. Team Training Plan

Train-the-Trainer Model

Champion Selection Criteria

☐ Provider or Office Manager (provider preferred for clinical credibility) ☐ Minimum 12 months tenure at location ☐ History of successful technology adoption ☐ Respected by peers (clinical and administrative) ☐ Willing to commit 8–12 hours for certification training ☐ Available to train colleagues before go-live ☐ Able to provide first-line support post-launch

Champion Responsibilities

Pre-Launch

• Complete VideaHealth Champion Certification 🔵
• Train all staff at their location using standardized materials
• Validate integration testing
• Lead workflow walk-throughs

Launch Day

• Serve as on-site expert
• Troubleshoot basic issues
• Escalate complex issues appropriately

Post-Launch

• Answer ongoing staff questions
• Train new hires
• Provide feedback to central team
• Participate in monthly champion calls

Champion Certification Program 🔵

Module	Duration	Format	Assessment
Platform Overview	1 hour	Video + Live Q&A	Quiz
Clinical Workflow Deep Dive	2 hours	Live demo with vendor	Practical exercise
Technical Troubleshooting	1 hour	Video	Scenario quiz
Training Delivery Skills	1 hour	Video	Role-play
Admin & Reporting	1 hour	Video	Practical exercise
Certification Exam	1 hour	Online proctored	85% pass threshold

Total Champion Training Time: 7 hours

Role-Specific Training Outlines

Dentists/Providers

Training Time: 2 hours Format: 1-hour live demo + 1-hour hands-on practice

Module Content:

1. Why AI-Assisted Diagnosis (15 min)

   • Clinical evidence for VideaHealth accuracy
   • How AI complements (not replaces) clinical judgment
   • Liability and documentation benefits

2. Workflow Integration (30 min)

   • When AI analysis appears in workflow
   • Reading the AI overlay (color codes, confidence indicators)
   • Interpreting findings by category

3. Clinical Decision-Making (45 min)

   • When to accept AI findings
   • When and how to override/modify
   • Documentation requirements
   • Communicating AI-assisted findings to patients

4. Hands-On Practice (30 min)

   • Review 10 sample cases with various finding types
   • Practice accept/modify/reject workflow
   • Practice patient explanation

Common Resistance Points & Responses:

Resistance	Response
"This undermines my clinical judgment"	AI is a second opinion, like consulting a colleague. You remain the decision-maker.
"Patients will think I need a computer to diagnose"	Position as "we use the most advanced technology to ensure nothing is missed"
"What if the AI is wrong?"	AI has documented accuracy rates. You validate every finding—that's the value of your expertise.
"This takes more time"	After initial learning curve, most providers find it saves time and reduces second-guessing

Day 1 Cheat Sheet: Providers

┌─────────────────────────────────────────────────────────┐
│           VIDEA HEALTH - PROVIDER QUICK REFERENCE       │
├─────────────────────────────────────────────────────────┤
│ 1. Take X-ray as usual - AI analyzes automatically      │
│ 2. Wait 3-5 seconds for findings overlay                │
│ 3. Review highlighted areas:                            │
│    🔴 RED = High confidence finding                     │
│    🟡 YELLOW = Moderate confidence, review closely      │
│ 4. Click finding to see details and confidence score    │
│ 5. ACCEPT (✓) findings you agree with                   │
│ 6. MODIFY (✎) findings that need adjustment             │
│ 7. REJECT (✗) false positives with reason               │
│ 8. Findings auto-populate in clinical notes             │
├─────────────────────────────────────────────────────────┤
│ TROUBLESHOOTING:                                        │
│ • No overlay appearing? Click refresh icon              │
│ • Image quality error? Retake with better positioning   │
│ • System slow? Check internet connection                │
│ • Need help? Ask your location champion                 │
├─────────────────────────────────────────────────────────┤
│ PATIENT SCRIPT:                                         │
│ "We use advanced AI technology to analyze your X-rays.  │
│  This helps ensure we don't miss anything and gives you │
│  the most thorough evaluation possible."                │
└─────────────────────────────────────────────────────────┘

Hygienists

Training Time: 1 hour Format: 30-minute video + 30-minute live demo

Module Content:

1. Understanding the AI (15 min)

   • What VideaHealth detects relevant to hygiene (calculus, bone loss, perio findings)
   • How AI findings appear during hygiene appointments

2. Workflow Touchpoints (30 min)

   • Reviewing AI findings before provider exam
   • Discussing relevant findings during prophy/SRP
   • Documenting hygiene-specific observations

3. Patient Communication (15 min)

   • Explaining AI-detected calculus/bone loss
   • Reinforcing home care based on findings

Common Resistance Points & Responses:

Resistance	Response
"This is more work for me"	AI can actually help you catch findings that support perio treatment recommendations
"The doctor handles diagnosis"	You're not diagnosing—you're reviewing findings to inform your clinical discussion

Day 1 Cheat Sheet: Hygienists