Diagnocat — Implementation Playbook (DSO)

Diagnocat Implementation Playbook for DSOs

AI-Powered Diagnostic Imaging Analysis at Scale

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1. Executive Summary

What Diagnocat Does

Diagnocat is an AI-powered diagnostic imaging platform that automatically analyzes CBCT scans, panoramic X-rays, and intraoral radiographs to detect pathologies, measure anatomical structures, and generate comprehensive diagnostic reports. The platform identifies over 70 conditions including caries, periapical lesions, bone loss, and endodontic issues, delivering standardized findings that integrate directly into clinical workflows.

Why DSOs Benefit from AI Diagnostic Imaging

DSOs operating at scale face three persistent challenges that AI diagnostic imaging directly addresses:

1. Standardization of Care Quality: With providers of varying experience levels across 15–50 locations, diagnostic consistency is nearly impossible to maintain manually. Diagnocat applies the same detection algorithms to every image, creating a baseline diagnostic floor across your entire organization.

2. Data Aggregation for Strategic Decision-Making: Centralized AI diagnostics generate structured data on pathology prevalence, treatment planning patterns, and case acceptance rates across all locations—intelligence that's impossible to extract from siloed, provider-dependent interpretations.

3. Operational Efficiency at Scale: A 2–3 minute reduction in diagnostic time per patient compounds dramatically across thousands of daily patient encounters. At 50 locations averaging 25 patients/day each, that's 100+ hours of provider time recovered daily.

Expected Timeline: Decision to Full Deployment

Phase	Duration	Milestone
Pre-Implementation	Weeks 1–2	Contracts signed, technical requirements validated, baseline metrics captured
Pilot Wave (2–3 locations)	Weeks 3–6	Full integration, training complete, 30-day performance data
Wave 2 (5–8 locations)	Weeks 7–12	Refined playbook applied, regional pattern established
Wave 3+ (Remaining locations)	Weeks 13–20	Full deployment, optimization mode
Total Timeline	16–20 weeks	All locations live, ROI tracking active

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

Technical Requirements

Hardware Requirements (Per Location)

☐ Workstations with minimum 8GB RAM, dedicated GPU recommended (NVIDIA GTX 1060 or better) for local rendering ☐ Monitors capable of diagnostic-quality display (minimum 1920x1080 resolution, medical-grade preferred) ☐ Existing imaging sensors compatible with DICOM export ☐ CBCT units (if applicable) with DICOM 3.0 compliance

Network Requirements

☐ Minimum 50 Mbps upload/download per location (100 Mbps recommended for CBCT-heavy practices) ☐ Stable connection with <100ms latency to cloud servers ☐ Firewall configuration allowing outbound HTTPS connections to Diagnocat endpoints ☐ ⚠️ VPN configurations may require exceptions—document current VPN topology

Software Requirements

☐ Compatible browsers (Chrome 90+, Edge 90+, Firefox 88+) ☐ PMS integration compatibility verified (see Section 5) ☐ Current imaging software versions documented ☐ Operating systems: Windows 10/11 or macOS 11+

Enterprise-Level Requirements 🟣

Network Standards Across Locations

☐ Document network variability across portfolio—identify locations below minimum thresholds ☐ Determine hosting model: Recommendation: Cloud-hosted with centralized tenant for DSOs (avoids per-location server management) ☐ Configure SSO integration (SAML 2.0 or OAuth 2.0) with existing identity provider (Okta, Azure AD, etc.) ☐ Establish VPN/firewall exception standards that can be applied uniformly

Centralized Credentialing

☐ Map existing credentialing workflows to Diagnocat user provisioning ☐ Define role-based access control (RBAC) structure:

• Enterprise Admin: Full configuration access, all locations
• Regional Manager: Read access to regional analytics, no clinical functions
• Location Admin: Local user management, configuration within parameters
• Provider: Clinical use, personal settings only
• Staff: View-only access to reports as needed ☐ 🔵 Request Diagnocat enterprise admin console access and bulk user provisioning capabilities

Vendor Onboarding Steps

Task	Owner	Timeline	Notes
☐ Execute Master Service Agreement	Legal/Vendor	Days 1–3	🔵
☐ Execute Business Associate Agreement (BAA)	Legal/Vendor	Days 1–3	🔵 Required before any PHI transfer
☐ Schedule enterprise kickoff call	Project Lead/Vendor	Day 4	🔵
☐ Establish escalation contacts	Project Lead	Day 5	Document: Sales rep, implementation manager, technical support, executive sponsor
☐ Obtain enterprise license keys/credentials	IT/Vendor	Days 5–7	🔵
☐ Confirm support SLAs in writing	Operations/Vendor	Day 7	🔵 Response times, hours of operation, escalation paths
☐ Schedule integration technical calls	IT/Vendor	Days 7–10	🔵 Per PMS type

Key Vendor Contacts to Establish

Role	Responsibility	Escalation Level
Implementation Manager	Day-to-day deployment coordination	Primary
Technical Support Lead	Integration troubleshooting, API issues	Tier 1
Customer Success Manager	Adoption metrics, optimization recommendations	Ongoing
Executive Sponsor (Vendor)	Contract issues, SLA disputes, strategic alignment	Escalation

Data/Access Prerequisites

☐ Generate API keys for each PMS instance (or centralized if using single enterprise PMS) ☐ Export sample DICOM images from 3 representative locations for integration testing ☐ Document imaging archive structure (local storage, cloud, hybrid) ☐ Identify existing imaging archive access protocols (if migrating historical data) ☐ ⚠️ Verify DICOM tag consistency across locations—variations in metadata can cause integration failures

Stakeholder Alignment Map 🟣

Board/Investors

• Information Need: Strategic rationale, expected ROI, competitive positioning
• Communication: Pre-implementation brief (1 page), quarterly updates
• Approval Required: ☐ Capital expenditure authorization (if applicable)

C-Suite

Role	Interest Area	Action Required
CEO	Strategic alignment, market differentiation	☐ Approve initiative scope
CFO	ROI model, budget allocation, financial reporting structure	☐ Approve budget, metrics framework
CDO/Chief Dental Officer	Clinical efficacy, provider adoption, standard of care	☐ Approve clinical protocols, champion selection criteria
COO/VP Operations	Rollout execution, operational impact	☐ Approve rollout sequence, resource allocation
CIO/IT Leadership	Technical architecture, security, integration	☐ Approve technical requirements, security protocols

Regional Managers

• Information Need: Location-specific rollout timeline, resource requirements, success metrics
• Communication: Wave planning sessions (live), weekly rollout updates
• Approval Required: ☐ Local resource allocation, champion nomination

Location-Level Office Managers

• Information Need: Training schedule, workflow changes, support escalation
• Communication: Rollout packet, direct line to regional manager
• Approval Required: ☐ Training schedule accommodation

Providers

• Information Need: Clinical workflow impact, AI interpretation guidance, override protocols
• Communication: CDO-led clinical briefing, hands-on training
• Approval Required: ☐ Acknowledge clinical protocol (formal sign-off)

Baseline Metrics to Capture 🟣

⚠️ Critical: Capture these metrics BEFORE go-live at every location using standardized methodology. Without consistent baselines, cross-location ROI comparison is impossible.

Standardized Metric Definitions

Metric	Definition	Measurement Method	Capture Window
Case Acceptance Rate	% of diagnosed conditions with scheduled treatment / total diagnosed conditions	PMS treatment planning data	30 days pre-launch
Average Diagnosis Time	Time from image capture to documented findings	Time study (sample 20 patients/location)	2 weeks pre-launch
Diagnostic Yield per Image	Average number of pathologies documented per radiograph	Manual chart audit (50 charts/location)	30 days pre-launch
Imaging Retake Rate	% of images requiring recapture	PMS imaging logs	30 days pre-launch
Missed Pathology Rate	Retrospective audit of untreated conditions (sample)	Clinical audit (25 charts/location)	60 days pre-launch
Patient Wait Time	Arrival to treatment room	Front desk logs or PMS	30 days pre-launch
Claim Denial Rate (Imaging)	% of imaging-related claims denied	Billing system export	90 days pre-launch
Provider Satisfaction (Imaging Workflow)	1–5 scale survey	Standardized survey	1 week pre-launch

Data Collection Protocol

☐ 🟣 Designate single owner for baseline data collection across all locations ☐ Create standardized data collection templates (provided in Appendix) ☐ Train regional managers on measurement methodology ☐ Set hard deadline for baseline completion: 5 business days before Wave 1 go-live ☐ ⚠️ Do not proceed to go-live without verified baseline data

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3. Location Readiness Assessment

Scoring Framework

Rate each location 1–5 on the following factors, then calculate composite readiness score.

Factor 1: IT Infrastructure Maturity

Score	Network Speed	Hardware Age	PMS Version
5	100+ Mbps, redundant	<2 years	Current release
4	75–100 Mbps	2–3 years	1 version behind
3	50–75 Mbps	3–4 years	2 versions behind
2	25–50 Mbps	4–5 years	3+ versions behind
1	<25 Mbps or unstable	5+ years	Unsupported version

Factor 2: Staff Tenure and Adaptability

Score	Avg Tenure	Annual Turnover	Tech Adoption History	Recent Training Completion
5	3+ years	<15%	Successfully adopted 2+ tech tools in 2 years	>90% on-time
4	2–3 years	15–25%	Successfully adopted 1 tech tool recently	75–90% on-time
3	1–2 years	25–35%	Mixed adoption history	60–75% on-time
2	6mo–1 year	35–50%	Resistance to recent tech changes	40–60% on-time
1	<6 months	>50%	Failed or abandoned recent tech implementations	<40% on-time

Factor 3: Patient Volume

Score	Daily Patient Volume	Risk Profile	Impact Profile
5	30–45 patients/day	Moderate (manageable complexity)	High (significant impact)
4	45–60 patients/day	Moderate-high	Very high
3	20–30 patients/day	Low	Moderate
2	60+ patients/day	⚠️ High (any disruption cascades)	Very high
1	<20 patients/day	Low	Low (minimal proof point)

Note: Volume scoring intentionally favors mid-range volumes for pilot locations—high enough for meaningful data, low enough to manage disruption.

Factor 4: Tech Stack Compatibility

Score	PMS	Imaging System	Other Integrations
5	Tier 1 with verified API (Dentrix, Eaglesoft, Open Dental)	DICOM 3.0 compliant, cloud-ready	Standard integrations, no conflicts
4	Tier 1 with manual integration path	DICOM compliant, local storage	Minor integration considerations
3	Tier 2 PMS with API	DICOM compliant with customization	Some integration complexity
2	Tier 2 PMS without API	Non-standard DICOM	Significant integration work required
1	Legacy/proprietary PMS	Proprietary format	⚠️ Blocking integrations

Factor 5: Local Champion Availability

Score	Champion Availability	Champion Profile
5	Tech-forward provider AND engaged office manager identified	Proven change agents, influence with peers
4	Tech-forward provider OR engaged office manager	Strong candidate, one role
3	Potential champion identified, needs development	Willing but unproven
2	No obvious champion, but no active resisters	Neutral environment
1	Active resistance from key staff	⚠️ Address resistance before deployment

Composite Score Calculation

Composite Score = (Infrastructure × 0.25) + (Staff × 0.20) + (Volume × 0.15) + (Tech Stack × 0.25) + (Champion × 0.15)

Rollout Wave Assignment

Composite Score	Wave Assignment	Rationale
4.0–5.0	Wave 1 (Pilot)	High readiness, representative of portfolio
3.0–3.9	Wave 2	Solid foundation, benefit from Wave 1 learnings
2.0–2.9	Wave 3	Requires remediation of specific factors before deployment
<2.0	Wave 4/Deferred	⚠️ Address fundamental blockers before scheduling

Sample Readiness Scorecard

Location	Infrastructure	Staff	Volume	Tech Stack	Champion	Composite	Wave
Springfield Main	5	4	5	5	5	4.80	Wave 1
Riverside Family	4	4	4	4	4	4.00	Wave 1
Downtown Dental	4	3	4	5	3	3.95	Wave 2
Westside Smiles	3	3	3	3	2	2.85	Wave 3
Northgate Dental	2	2	2	2	1	1.85	Deferred

Recommended Rollout Sequence 🟣

1. Select 2–3 Wave 1 locations representing:

   • At least one high-volume location (stress test)
   • At least one location with each major PMS in your portfolio
   • Geographic distribution if regional infrastructure varies
   • Mix of specialty presence (GP-only vs. GP + specialty)

2. Prioritize Wave 2 locations that:

   • Share PMS/imaging systems with Wave 1 locations
   • Are in same region as Wave 1 (regional manager can directly observe)
   • Have champions who can connect with Wave 1 champions

3. Stage Wave 3 locations to allow remediation time for lower-scoring factors

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4. Rollout Strategy

Wave Structure Overview

Wave	Locations	Duration	Cumulative Coverage
Wave 1 (Pilot)	2–3 locations	4 weeks	5–10% of portfolio
Wave 2	5–8 locations	4 weeks	25–35% of portfolio
Wave 3	8–15 locations	4 weeks	60–75% of portfolio
Wave 4 (Final)	Remaining	4 weeks	100% of portfolio
Buffer between waves	—	1 week	Learning capture, playbook refinement

Wave 1 Pilot Location Selection Criteria 🟣

Required Criteria (Must Have All)

☐ Composite readiness score ≥4.0 ☐ PMS representative of 30%+ of portfolio ☐ Imaging system representative of 30%+ of portfolio ☐ Identified champion (provider AND office manager) ☐ Regional manager commitment to weekly on-site presence ☐ No major operational changes scheduled during pilot period

Preferred Criteria (Have 2+ of 5)

☐ Geographic proximity to corporate office or regional hub ☐ History of successful technology adoption ☐ Mid-range volume (30–45 patients/day) ☐ Mix of services (GP + at least one specialty referral type) ☐ Low staff turnover (<15% annually)

Selection Anti-Patterns ⚠️

❌ Do not select flagship "showcase" locations—too much pressure creates artificial behavior ❌ Do not select locations with leadership changes in past 90 days ❌ Do not select locations mid-PMS migration or hardware refresh ❌ Do not select locations with known interpersonal conflicts among key staff

Timeline Per Wave

Wave 1 (Weeks 3–6)

Week	Activities	Milestones
Week 3	Integration setup, test environment validation, champion training	☐ Integration passing all test cases
Week 4	Full staff training, parallel run begins, daily check-ins	☐ All staff trained, parallel run producing AI reports
Week 5	Parallel run continues, workflow refinements, issue resolution	☐ No critical issues >24 hours unresolved
Week 6	Full production mode, performance metrics collection	☐ 30-day metrics available for analysis
Buffer Week	Post-mortem, playbook updates, Wave 2 preparation	☐ Wave 1 learnings documented, playbook v2 ready

Wave 2+ (Repeat Pattern with Refinements)

Same 4-week structure, incorporating:

• Refined training materials based on Wave 1 feedback
• Pre-identified gotchas and proactive mitigations
• Champion-to-champion peer connections
• Streamlined integration process (templates from Wave 1)

Go/No-Go Criteria 🟣

Advance to next wave when ALL of the following are true:

Technical Criteria

☐ Zero critical (Severity 1) open issues ☐ Integration uptime >99% for 14 consecutive days ☐ Image processing success rate >98% ☐ Average processing time within SLA (<30 seconds for 2D, <2 minutes for CBCT)

Operational Criteria

☐ All providers actively using system (no opt-outs) ☐ Patient workflow impact <5 minutes added per visit ☐ No patient complaints related to AI implementation ☐ Champion confidence score ≥4/5 (self-reported)

Adoption Criteria

☐ >80% of eligible images processed through Diagnocat ☐ AI findings referenced in >70% of treatment presentations ☐ Zero workarounds bypassing AI workflow

Business Criteria

☐ Case acceptance rate stable or improved vs. baseline ☐ No increase in patient cancellations/no-shows ☐ Staff satisfaction stable or improved (pulse survey)

Rollback Plan ⚠️

Rollback Triggers

• Severity 1 issue unresolved >48 hours
• Provider opt-out rate >20% at any location
• Patient safety concern identified
• Integration causing PMS instability
• ⚠️ Any HIPAA compliance concern

Rollback Procedure

Immediate (Within 2 Hours)

1. ☐ Disable Diagnocat integration at affected location(s)
2. ☐ Notify vendor implementation manager and escalate to vendor executive sponsor
3. ☐ Document all open issues, screenshots, logs
4. ☐ Communicate to regional manager and affected location leadership

Same Day

1. ☐ Verify legacy workflow restored and functional
2. ☐ Brief affected providers on temporary status
3. ☐ Establish daily status call with vendor until resolution

Within 48 Hours

1. ☐ Root cause analysis complete
2. ☐ Remediation plan documented with timeline
3. ☐ 🟣 Executive decision: re-attempt at same location vs. substitute different location
4. ☐ Update rollout timeline if needed

Rollback Isolation

• Wave design ensures failure at one location does not require rollback at others
• If Wave 1 location fails, substitute with next-highest readiness location
• If 50%+ of Wave 1 locations fail, pause entire rollout for systemic review 🟣

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5. Configuration & Integration (Weeks 2–3)

Step-by-Step PMS Integration

Dentrix Integration

Step	Action	Time Est.	Owner
1	☐ Verify Dentrix version compatibility (G6.2+ required, G7+ recommended)	30 min	IT
2	☐ Enable Dentrix API access via eServices module	1 hour	IT + Vendor
3	☐ 🔵 Request Diagnocat Dentrix integration package from vendor	—	Vendor
4	☐ Install Diagnocat connector on Dentrix server	1 hour	IT + Vendor
5	☐ Configure patient matching rules (match on: Name + DOB + Chart #)	30 min	IT
6	☐ Map Diagnocat pathology codes to Dentrix treatment codes	2 hours	Clinical + IT
7	☐ Test patient lookup (10 sample patients)	30 min	IT
8	☐ Test image retrieval (5 sample images per type)	1 hour	IT
9	☐ ⚠️ Test report writeback to patient record	1 hour	IT
10	☐ Validate provider attribution in reports	30 min	IT

Eaglesoft Integration

Step	Action	Time Est.	Owner
1	☐ Verify Eaglesoft version (v21+ required)	30 min	IT
2	☐ Enable Eaglesoft Web Services	1 hour	IT
3	☐ 🔵 Obtain Eaglesoft API credentials from Patterson	1–3 days	IT + Patterson
4	☐ Configure Diagnocat Eaglesoft bridge	1 hour	IT + Vendor
5	☐ Map imaging categories (FMX, Pano, BWX, CBCT)	30 min	IT
6	☐ Test bidirectional patient data sync	1 hour	IT
7	☐ ⚠️ Configure report formatting for Eaglesoft clinical notes	1 hour	Clinical + IT
8	☐ Validate image association with correct patient encounters	1 hour	IT

Open Dental Integration

Step	Action	Time Est.	Owner
1	☐ Verify Open Dental version (v21.1+ required)	30 min	IT
2	☐ Enable API module in Open Dental (requires API key from Open Dental HQ)	1 hour	IT
3	☐ 🔵 Configure Diagnocat Open Dental connector	1 hour	IT + Vendor
4	☐ Set up OAuth authentication	30 min	IT
5	☐ Configure FHIR bridge if using Open Dental Cloud	1 hour	IT + Vendor
6	☐ Test patient demographics sync	30 min	IT
7	☐ Test image attachment retrieval	1 hour	IT
8	☐ ⚠️ Validate procedure code mapping	1 hour	Clinical + IT

Imaging System Integration

DICOM Integration (Generic)

Step	Action	Time Est.	Owner
1	☐ Inventory all imaging modalities per location (panoramic, CBCT, intraoral sensor brand/model)	2 hours	IT
2	☐ Document DICOM version per device	1 hour	IT
3	☐ 🔵 Provide imaging equipment inventory to Diagnocat for compatibility verification	—	IT + Vendor
4	☐ Configure DICOM node on Diagnocat platform	1 hour	Vendor
5	☐ Configure DICOM export settings on each imaging device	30 min/device	IT
6	☐ Test DICOM transmission (send 3 images per modality)	1 hour	IT
7	☐ Verify DICOM tags preserved (patient ID, acquisition date, modality type)	30 min	IT
8	☐ ⚠️ Test CBCT volume transfer (file size, transfer time, image integrity)	1 hour	IT

Dexis Integration

Step	Action	Time Est.	Owner
1	☐ Verify Dexis version compatibility	30 min	IT
2	☐ 🔵 Install Diagnocat Dexis plugin	1 hour	IT + Vendor
3	☐ Configure automatic image routing to Diagnocat	30 min	IT
4	☐ Test intraoral sensor capture → Diagnocat workflow	1 hour	IT
5	☐ Configure return of annotated images to Dexis	30 min	IT

Carestream/Planmeca/Sirona (CBCT)

Step	Action	Time Est.	Owner
1	☐ 🔵 Confirm specific CBCT model compatibility with Diagnocat	—	Vendor
2	☐ Configure DICOM send from CBCT workstation	1 hour	IT
3	☐ ⚠️ Test large volume transfer (300+ MB files)	1 hour	IT
4	☐ Verify slice thickness and FOV preserved in Diagnocat	30 min	IT
5	☐ Test 3D rendering in Diagnocat viewer	30 min	IT

Test Environment Setup

Centralized Test Environment (Recommended for DSOs)

☐ 🔵 Request Diagnocat sandbox/staging environment ☐ Populate sandbox with de-identified test patient data (50 patients minimum) ☐ Include test images: 10 FMX, 10 panoramic, 5 CBCT volumes ☐ Configure sandbox with production-like settings ☐ Document sandbox credentials and access procedures

Validation Checklist

Test Case	Expected Result	Pass/Fail
Patient lookup by name	Correct patient returned	☐
Patient lookup by DOB	Correct patient returned	☐
2D image upload	Image processed in <30 seconds	☐
CBCT volume upload	Volume processed in <3 minutes	☐
Pathology detection (known positive)	Finding correctly identified	☐
Clean image (known negative)	No false positives	☐
Report generation	PDF generated, formatted correctly	☐
Report writeback to PMS	Report attached to correct patient	☐
User authentication via SSO	Login successful	☐
Role-based access	Permissions enforced correctly	☐
Audit log capture	All actions logged with user/timestamp	☐

Data Migration / Historical Data Ingestion

Decision Point 🟣

Should you ingest historical images into Diagnocat?

Factor	Ingest Historical	Skip Historical
Primary Use Case	Retrospective analysis, trend comparison	Real-time diagnosis only
Data Volume	<50,000 images total	>50,000 images (time/cost consideration)
Image Quality	Consistent DICOM archive	Mixed formats, variable quality
Resource Availability	Dedicated migration window	Limited IT bandwidth
Recommendation	Consider for Wave 1 pilot only	Start fresh, accumulate prospectively

If Ingesting Historical Data

Step	Action	Time Est.	Owner
1	☐ Inventory historical image archive (volume, format, date range)	4 hours	IT
2	☐ 🔵 Confirm historical data ingestion pricing with vendor	—	Operations
3	☐ Extract sample batch (100 images) for quality validation	2 hours	IT
4	☐ Run sample batch through Diagnocat, validate results	2 hours	IT + Clinical
5	☐ Schedule bulk ingestion during off-hours	—	IT
6	☐ Monitor ingestion progress, error rates	Ongoing	IT
7	☐ Validate patient matching post-ingestion (sample 5%)	4 hours	IT

Standardized Configuration Template

Settings to Standardize Centrally:

Setting	Standard Value	Rationale
AI sensitivity threshold	Medium (default)	Balance sensitivity/specificity
Report format	Standard PDF template	Brand consistency
Auto-report generation	Enabled	Workflow efficiency
Report language	English	Consistency
Pathology nomenclature	ADA standard codes	Billing consistency
User session timeout	30 minutes	Security
Audit log retention	7 years	Compliance
Image retention	Per state requirements (minimum 7 years)	Compliance

Settings to Allow Local Variation:

Setting	Variable Options	Decision Owner
Provider notification preferences	Email, in-app, both	Individual provider
Report delivery method	Auto-print, review first	Office manager
CBCT measurement presets	By specialty mix	CDO + local provider
Dashboard view preferences	By role	Individual user
Workstation display settings	By monitor configuration	IT

Security and HIPAA Compliance Checklist

Enterprise-Level HIPAA Checklist

Requirement	Verification Method	Status
☐ Business Associate Agreement executed	Signed document on file	☐ Complete
☐ Data encryption in transit (TLS 1.2+)	🔵 Vendor attestation, network scan	☐ Verified
☐ Data encryption at rest (AES-256)	🔵 Vendor attestation	☐ Verified
☐ Access controls / RBAC implemented	Configuration audit	☐ Verified
☐ Audit logging enabled and retained	Log sample review	☐ Verified
☐ Minimum necessary access enforced	Role configuration audit	☐ Verified
☐ Data backup and recovery procedures documented	🔵 Vendor documentation	☐ Verified
☐ Breach notification procedures defined	BAA terms	☐ Verified
☐ Subcontractor BAAs in place	🔵 Vendor attestation	☐ Verified
☐ Employee training on AI system documented	Training records	☐ Complete
☐ 🔵 SOC 2 Type II report reviewed	Vendor provides	☐ Verified
☐ 🔵 HIPAA compliance attestation obtained	Vendor provides	☐ Verified

Per-Location Security Checklist

Requirement	Verification Method	Status
☐ Workstations auto-lock configured	Configuration check	☐
☐ User accounts provisioned per individual	User list audit	☐
☐ No shared login credentials	Policy acknowledgment	☐
☐ Physical security adequate for workstations	Site assessment	☐
☐ Network firewall rules implemented	Network scan	☐

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6. Team Training Plan

Train-the-Trainer Model

Champion Selection Criteria

Required Qualifications: ☐ Minimum 1 year tenure at location ☐ Demonstrated technology proficiency ☐ Peer influence and respect ☐ Availability for certification training (4 hours) ☐ Commitment to ongoing champion role (6-month minimum)

Ideal Profile (2+ of 4): ☐ Prior experience training peers ☐ Clinical background (provider, hygienist, or experienced assistant) ☐ Interest in AI/technology ☐ Strong communication skills

Champion Responsibilities

Responsibility	Frequency	Support Provided
Complete certification training	One-time	Central team delivers
Deliver local staff training	Per new hire	Standardized materials
Serve as first-tier troubleshooting	Ongoing	Escalation path to regional
Collect and escalate staff feedback	Weekly during rollout	Feedback form template
Model correct system usage	Daily	—
Report adoption metrics	Weekly	Dashboard access

Champion Certification Process

Phase	Duration	Activities	Deliverables
Self-Study	2 hours	Review training videos, documentation	☐ Knowledge quiz passed
Live Training	2 hours	🔵 Vendor-led deep dive, Q&A	☐ Hands-on proficiency demonstrated
Practice Delivery	1 hour	Deliver sample training to peer	☐ Peer observation feedback
Certification	—	Sign champion agreement	☐ Certified champion

Role-Specific Training Outlines

Providers (Dentists, Specialists)

Training Duration: 90 minutes Format: Live demo (60 min) + supervised practice (30 min) Delivered By: Champion + 🔵 Vendor clinical specialist (Wave 1 only)

Module 1: AI in Clinical Context (20 min)

• How Diagnocat algorithms work (non-technical overview)
• What the AI can and cannot detect
• AI as decision support, not decision maker
• Regulatory and liability context

Module 2: Workflow Integration (30 min)

• Where AI analysis appears in existing workflow
• Reading and interpreting AI reports
• Confidence scores and what they mean
• Comparing AI findings to personal assessment
• Documenting agreement/disagreement with AI

Module 3: Clinical Decision-Making (25 min)

• When to rely on AI findings
• When to override AI findings (and how to document)
• ⚠️ Common false positive patterns
• ⚠️ Common miss patterns
• Using AI findings in patient communication

Module 4: Hands-On Practice (15 min)

• Process 3 live cases with supervision
• Practice override documentation
• Practice patient explanation

Common Resistance Points and Responses

Resistance	Response
"AI will replace my clinical judgment"	"AI is a second set of eyes, not a replacement. You remain the diagnostician—the AI surfaces findings for your evaluation."
"I don't trust it"	"Let's run it parallel for 30 days. Review AI findings against your own diagnosis and track concordance."
"This will slow me down"	"Initial learning curve is 2-3 weeks. After that, most providers report time savings from faster image review."
"What about liability?"	"You are documenting your clinical assessment. AI findings are additional data points, not the diagnosis of record."

Provider Day 1 Cheat Sheet

DIAGNOCAT QUICK REFERENCE - PROVIDERS

1. IMAGE ARRIVES → AI processes automatically (15-30 sec)

2. REVIEW AI REPORT
   - Red flags = high confidence findings
   - Yellow = moderate confidence
   - Green = low suspicion areas
   - Click any finding → see annotated image

3. AGREE WITH AI?
   - Yes → Accept findings, add to treatment plan
   - No → Override with reason, document your assessment

4. PATIENT COMMUNICATION
   "This AI analysis helps me see things I might miss.
    Here's what we found together..."

5. DOCUMENT EVERYTHING
   - AI findings auto-attach to chart
   - Your override notes MUST be documented

NEED HELP? → [Champion Name] or Help icon in app

Hygienists

Training Duration: 45 minutes Format: Live demo (30 min) + Q&A (15 min) Delivered By: Champion

Module 1: Your Role in the AI Workflow (15 min)

• How images you capture are processed
• Quality requirements for optimal AI analysis
• Reviewing AI findings relevant to perio assessment
• Flagging findings for provider review

Module 2: Workflow Changes (20 min)

• New steps in image capture process (if any)
• How to verify image sent to AI
• Reading periodontal-relevant findings
• Communicating findings to provider before exam

Module 3: Q&A (10 min)

• Common questions and concerns
• Escalation path for issues

Hygienist Day 1 Cheat Sheet

DIAGNOCAT QUICK REFERENCE - HYGIENISTS

1. CAPTURE IMAGE as normal

2. VERIFY AI PROCESSING
   - Status indicator shows "Processing" → "Complete"
   - If stuck, refresh or notify champion

3. REVIEW PERIO FINDINGS (if applicable)
   - Bone loss measurements
   - Calculus detection
   - Your clinical assessment still primary

4. PREP FOR PROVIDER
   - "AI flagged [X] on [tooth] - please review"
   - Pull up annotated image before provider enters

NEED HELP? → [Champion Name]

Front Desk / Office Manager

Training Duration: 30 minutes Format: Video (15 min) + live walkthrough (15 min) Delivered By: Champion

Module 1: Administrative Overview (10 min)

• What Diagnocat does (high-level)
• Patient communication basics
• No clinical interpretation by front desk

Module 2: Your Responsibilities (15 min)

• Reporting access and export
• Scheduling considerations (no change expected)
• Handling patient questions about AI

Module 3: Troubleshooting Basics (5 min)

• Recognizing system status
• Who to contact for issues
• Logging support requests

Patient Communication Script

If patient asks about AI analysis:

"Our practice uses advanced imaging analysis technology to help our doctors identify potential issues in your X-rays and scans. It's an extra layer of review that helps ensure we don't miss anything. Your doctor will review everything and discuss any findings with you."

If patient expresses concern:

"I understand you have questions. Your doctor will be able to explain how this technology supports their diagnosis. Would you like me to make a note for them to discuss this with you?"

Front Desk Day 1 Cheat Sheet

DIAGNOCAT QUICK REFERENCE - FRONT DESK

YOUR ROLE: Administrative support only. No clinical interpretation.

PATIENT QUESTIONS:
- "What is this AI thing?" → "It helps our doctors review your images 
  more thoroughly. Dr. [X] will explain the findings."
- "Is my data safe?" → "Yes, all patient information is protected 
  according to HIPAA regulations."

COMMON ISSUES TO REPORT:
- System status showing "offline"
- Patient records not matching
- Login issues

ESCALATE TO: [Champion Name]

Billing/Insurance Staff

Training Duration: 45 minutes Format: Live demo (30 min) + documentation review (15 min) Delivered By: Champion + Billing lead

Module 1: Clinical Documentation Changes (15 min)

• How AI findings appear in clinical documentation
• Impact on diagnostic coding accuracy
• New data available for claim support

Module 2: Coding Considerations (20 min)

• No new codes required for AI analysis
• AI findings support existing diagnostic codes
• Documentation improvements for medical necessity
• ⚠️ Do NOT bill AI analysis as separate service

Module 3: Denial Management (10 min)

• Using AI documentation to appeal denials
• Improved documentation examples
• Reporting denial patterns for analysis

Billing Day 1 Cheat Sheet

DIAGNOCAT QUICK REFERENCE - BILLING

NO CHANGE TO CODES - bill imaging as normal

DOCUMENTATION CHANGES:
- AI findings auto-attach to clinical notes
- More detailed pathology documentation
- Use for medical necessity support in appeals

DO NOT:
- Bill AI analysis as separate procedure
- Submit AI report instead of provider notes
- Change codes based on AI findings alone

HELPFUL FOR:
- Claim appeals (detailed findings)
- Medical necessity documentation
- Treatment plan justification

QUESTIONS? → [Billing Lead] or [Champion Name]

Training Completion Tracking

Tracking Method

☐ Create tracking spreadsheet per location:

Employee Name	Role	Training Module	Completion Date	Champion Verified	Quiz Score

Go-Live Gate

No location proceeds to go-live without: ☐ 100% of providers trained and certified ☐ 100% of clinical staff trained ☐ 100% of admin staff trained (or exempted with documentation) ☐ Champion signature on training completion form ☐ Training records archived centrally

Ongoing Training Cadence

Trigger	Training Required	Owner
New hire (provider)	Full provider module within 2 weeks	Champion
New hire (clinical staff)	Role-specific module within 1 week	Champion
Software update	Release notes review + new feature demo	Champion distributes
Quarterly	Refresher session (30 min, optional)	Champion
Annual	Full re-certification (providers only)	Central team

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7. Change Management

Executive Sponsor Communication Plan

Board/Investor Updates

Timing	Format	Content	Owner
Pre-Launch	1-page memo	Initiative overview, expected ROI, timeline	CDO + COO
End of Wave 1	Email update	Pilot results, go/no-go decision, adjusted projections	CEO
End of Wave 2	Board presentation (5 slides)	Adoption metrics, early ROI indicators, lessons learned	CDO
Full Deployment	Board presentation (10 slides)	Complete rollout summary, ROI analysis, next steps	CEO + CDO
Ongoing	Quarterly report section	AI utilization metrics, clinical impact, strategic value	CDO

C-Suite Communication Cadence

Role	Update Frequency	Format	Content
CEO	Weekly during rollout	Email brief	Status summary, escalations, decisions needed
CFO	Bi-weekly	Dashboard + memo	Spend vs. budget, early ROI indicators
CDO	Daily during go-live, weekly ongoing	Slack/Teams + calls	Clinical issues, provider feedback, protocol questions
CIO	As needed + weekly summary	Email + call	Technical issues, integration status, security

Regional Manager Briefing Guide

Pre-Rollout Briefing (1 hour)

Agenda:

1. Strategic rationale for AI diagnostic imaging (10 min)
2. Wave structure and their locations' timeline (15 min)
3. Their role in rollout (15 min)
4. Champion model and selection (10 min)
5. Success metrics and reporting (5 min)
6. Q&A (5 min)

Regional Manager Responsibilities:

Phase	Responsibility
Pre-Implementation	Verify location readiness scores, nominate champions, communicate timeline to office managers
Wave Execution	Weekly on-site presence at Wave 1 locations, escalate issues, ensure resource availability
Post-Launch	Monitor adoption dashboards, coach champions, cascade learnings to upcoming locations

Cascade Communication Template

For regional managers to send to office managers:

Subject: AI Diagnostic Imaging Implementation - [Location] Timeline

[Location] has been selected for [Wave X] of our Diagnocat AI implementation, scheduled for [dates].

Why This Matters: [2-3 sentence strategic context]

What's Changing: [Brief workflow overview]

Your Location's Champion: [Name] will be leading training and support.

Next Steps:

1. [Champion] will attend certification training on [date]
2. Staff training will occur [dates]
3. Go-live is scheduled for [date]

I'll be on-site [dates] to support the rollout. Please contact me or [Champion] with questions.

Staff Resistance Framework for Multi-Location Dynamics

Resistance Pattern Recognition

Pattern	Signals	Location-Level Risk	Response Strategy
Provider skepticism	Questions about clinical validity, "AI can't replace experience"	Single provider can influence entire team	Peer testimonials, concordance data, CDO direct engagement
Workflow disruption fears	"This will slow us down," complaints about learning curve	Productivity dips can cascade to morale	Parallel run period, show efficiency data from other locations
Job security concerns	Staff asking about automation, union discussions	Can create organized resistance	Clear messaging: AI augments, doesn't replace
Tech fatigue	"Another system to learn," references to past failed implementations	Compliance without adoption	Acknowledge fatigue, emphasize integration vs. new workflow
Data privacy concerns	Patient questions, staff concerns about AI "watching"	Can affect patient relationships	Clear privacy communication, emphasize HIPAA compliance

Location-Level Resistance Response Protocol

Resistance Level	Indicators	Response
Minimal	Questions, healthy skepticism	Normal training, champion support
Moderate	Vocal concerns, reluctant participation	Regional manager engagement, peer pairing with enthusiastic location
High	Refusal to use, active discouragement	🟣 CDO direct intervention, one-on-one with key resisters, consider wave reassignment
Critical	Patient-facing negative comments, team conflict	🟣 Pause rollout at location, executive intervention, root cause resolution

Internal Marketing

Initiative Naming

🟣 Decision needed: Name the initiative to create identity and momentum.

Options:

• "DiagnoVision" (AI-forward)
• "[DSO Name] Precision Imaging Initiative" (clinical)
• "20/20 Imaging" (clarity metaphor)
• Let staff vote from shortlist (engagement strategy)

Momentum-Building Tactics

Tactic	Timing	Owner
CEO video announcement	Pre-launch	Marketing + CEO
Wave 1 success video testimonials	End of Wave 1	Marketing + Champion
Weekly "wins" newsletter section	Ongoing during rollout	Operations
Location leaderboard (adoption metrics)	Wave 2+	Operations
Champion spotlight recognition	Monthly	CDO
Patient feedback showcase	Post-launch	Marketing

Milestone Celebrations

Milestone	Recognition
Champion certification	Digital badge + mention in leadership meeting
Location go-live	Congratulatory message from CDO
30-day adoption target met	Location recognition in company comms
Wave completion	Team recognition + small celebration budget
Full deployment	Company-wide announcement, executive thanks

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8. Go-Live Day Runbook

Standardized Go-Live Checklist (Every Location)

T-5 Business Days

Task	Owner	Status
☐ All staff training complete	Champion	☐
☐ Integration passing all test cases	IT	☐
☐ User accounts provisioned for all staff	Champion + IT	☐
☐ Test patient workflow end-to-end	Champion	☐
☐ Confirm vendor support awareness of go-live date	Operations	☐
☐ Verify network stability (5-day monitoring)	IT	☐
☐ Escalation contacts confirmed and documented	Champion	☐

T-1 Business Day

Task	Owner	Status
☐ Final system test (morning)	Champion + IT	☐
☐ Staff reminder communication sent	Champion	☐
☐ Day 1 cheat sheets posted at workstations	Champion	☐
☐ Patient communication scripts at front desk	Office Manager	☐
☐ Confirm regional manager/support availability	Operations	☐
☐ ⚠️ Review known gotchas list with team	Champion	☐

Hour-by-Hour Go-Live Schedule

Time	Activity	Who	Notes
7:00 AM	Champion arrives, system check	Champion	Verify all systems online, test image processing
7:15 AM	Morning huddle with staff	Champion + All Staff	Go-live reminders, day 1 expectations, escalation path
7:30 AM	IT/regional manager check-in	Champion + Support	Confirm support team standing by
8:00 AM	First patients arrive	Normal operations	Champion observes, available for support
8:30 AM	First image captured with AI	Provider + Champion	Champion shadows, confirms workflow
9:00 AM	Status check	Champion → Regional	Report any issues or smooth sailing
10:00 AM	Mid-morning check-in	Champion + Staff	Quick pulse: any confusion?
12:00 PM	Lunch status update	Champion → Regional	Morning summary, issue log
12:30 PM	Vendor check-in (Wave 1 only)	Champion + Vendor	🔵 Vendor confirms system health
2:00 PM	Afternoon check-in	Champion + Staff	Address any afternoon concerns
4:00 PM	End-of-day stats	Champion	Document: images processed, issues, overrides
4:30 PM	Debrief with regional manager	Champion + Regional	Day 1 summary, prep for Day 2
5:00 PM	End-of-day report submitted	Champion	Send to central team

On-Site and On-Call Requirements

Wave 1 Locations

Role	Day 1	Days 2–5	Week 2
Champion	On-site (full day)	On-site (full day)	On-site (available)
Regional Manager	On-site (half day)	On-call	Weekly check-in
🔵 Vendor Implementation Manager	On-call (responsive)	On-call	Scheduled check-ins
Central IT	On-call (responsive)	On-call	As needed

Wave 2+ Locations

Role	Day 1	Days 2–5	Week 2
Champion	On-site (full day)	On-site (available)	Normal duties
Regional Manager	On-call	As needed	Weekly check-in
🔵 Vendor Support	On-call	Standard support	Standard support
Central IT	On-call	As needed	As needed

Known Gotchas and Troubleshooting

Common First-Day Issues ⚠️

Issue	Symptoms	Troubleshooting Steps	Escalate If
Image not processing	Status stuck on "Processing" >2 min	1. Refresh browser. 2. Check network connection. 3. Re-upload image.	Still stuck after 3 attempts
Patient mismatch	AI report attached to wrong patient	1. Verify patient selection before capture. 2. Manually reassign in system. 3. Document for process fix.	Recurring pattern (>2x)
Slow processing	All images taking >60 seconds	1. Check network speed. 2. Verify server status (dashboard). 3. Clear browser cache.	Consistent slowness for >1 hour
Login failure	SSO not working	1. Verify user provisioned. 2. Clear browser cookies. 3. Try different browser.	Cannot resolve in 10 minutes
Report formatting error	PDF garbled or blank	1. Refresh and regenerate. 2. Try different workstation. 3. Download vs. print.	🔵 Escalate to vendor
Integration disconnect	Data not flowing to PMS	1. Verify integration status in settings. 2. Check API credentials. 3. Restart integration service.	🔵 Escalate to IT + vendor
CBCT timeout	Large files failing to upload	1. Verify network stability. 2. Try wired connection. 3. Compress if option available.	All CBCT failing

Escalation Tiers

Tier	Contact	Response Time	Issue Types
Tier 1: Location Champion	[Name, direct contact]	Immediate	User questions, minor workflow issues, troubleshooting steps 1-3
Tier 2: Regional Manager	[Name, direct contact]	15 minutes	Champion unable to resolve, multi-user issues, process questions
Tier 3: Central IT	[Help desk email/phone]	30 minutes	Integration failures, network issues, configuration problems
Tier 4: 🔵 Vendor Support	[Vendor support contact]	Per SLA (typically 1-4 hours)	System bugs, processing failures, account issues
Tier 5: 🔵 Vendor Escalation	[Implementation manager direct]	Same day	Critical issues unresolved by support

First-Week Daily Check-In Protocol

Champion → Central Team (Daily at 5:00 PM)

Submit via: [Designated channel—email, form, Slack]

Report Template:

LOCATION: [Name]
DATE: [Date]
CHAMPION: [Name]

VOLUME:
- Images processed today: [X]
- AI reports generated: [X]
- CBCT volumes processed: [X]

ADOPTION:
- % of providers using system: [X%]
- % of eligible images processed: [X%]

ISSUES:
- Open issues: [List with severity]
- Issues resolved today: [List]
- Escalations: [List]

STAFF FEEDBACK:
- Positive: [Summary]
- Concerns: [Summary]

CHAMPION CONFIDENCE (1-5): [X]

SUPPORT NEEDED: [Yes/No - specify]

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9. Post-Launch Optimization (Weeks 4–8)

Weekly Metrics Review Cadence

Week 1–4: Intensive Monitoring

Day	Activity	Owner
Monday	Review weekend metrics (if applicable)	Champion
Daily	Volume and adoption check	Champion
Wednesday	Mid-week status call (regional + champion)	Regional Manager
Friday	Weekly metrics submission	Champion
Friday	Regional rollup to central	Regional Manager
Sunday	Central dashboard update	Operations

Week 5–8: Stabilization Monitoring

Frequency	Activity	Owner
Daily	Exception monitoring (automated alerts)	Central IT
Weekly	Metrics review and submission	Champion
Bi-weekly	Regional performance call	Regional Manager
Monthly	Portfolio-wide review	Operations + CDO

Key Metrics to Track

Adoption Metrics

Metric	Definition	Target	Red Flag
Processing Rate	% of captured images sent to AI	>90%	<70%
Report Utilization	% of AI reports opened/viewed	>85%	<60%
Override Rate	% of AI findings overridden by provider	10–30% expected	<5% or >50%
Time to Processing	Average seconds from capture to AI result	<30 sec (2D), <3 min (CBCT)	>60 sec (2D), >5 min (CBCT)

Clinical Impact Metrics

Metric	Definition	Target	Red Flag
Pathology Detection Rate	Average findings per image	Compare to baseline	Significant deviation from baseline
Case Acceptance Rate	% treatment plans accepted	≥Baseline	>10% decline from baseline
Diagnostic Confidence	Provider-reported (survey)	≥4/5	<3/5

Operational Metrics

Metric	Definition	Target	Red Flag
System Uptime	% time system available	>99.5%	<98%
Support Ticket Volume	Tickets per location per week	<3	>10
Average Resolution Time	Hours to resolve support tickets	<4 hours	>24 hours

30-Day Checkpoint

Checkpoint Meeting: Champion + Regional Manager + Central Representative Duration: 45 minutes

"Good" Looks Like (30 Days)

☐ Processing rate >90% ☐ All providers actively using (no opt-outs) ☐ Override rate in 10–30% range ☐ No open Severity 1 issues ☐ Staff satisfaction stable or improved ☐ Zero patient complaints related to AI ☐ Champion confidence ≥4/5

Red Flags (30 Days)

⚠️ Processing rate <70% — indicates workflow bypass ⚠️ Any provider opt-out — requires immediate intervention ⚠️ Override rate <5% — providers may be rubber-stamping ⚠️ Override rate >50% — trust issues or calibration needed ⚠️ Open Severity 1 issues — escalate to vendor executive ⚠️ Staff satisfaction declined >10% — change management review ⚠️ Patient complaints >2 — review communication scripts

60-Day Checkpoint: ROI Assessment 🟣

ROI Framework

Compare to Baseline Metrics Captured Pre-Launch:

Metric	Baseline	60-Day	Change	Impact
Case Acceptance Rate	X%	Y%	+/-Z%	[Calculate revenue impact]
Average Diagnosis Time	X min	Y min	+/-Z min	[Calculate time savings × volume]
Diagnostic Yield per Image	X findings	Y findings	+/-Z	[Assess clinical impact]
Missed Pathology Rate	X%	Y%	+/-Z%	[Assess risk reduction]
Claim Denial Rate	X%	Y%	+/-Z%	[Calculate revenue recovery]

ROI Calculation Template

FINANCIAL IMPACT (60-Day Annualized)

Case Acceptance Improvement:
- Baseline acceptance rate: [X%]
- Post-implementation: [Y%]
- Change: [Y-X = Z%]
- Average case value: $[A]
- Annual eligible cases: [B]
- Revenue impact: [Z% × $A × B] = $[C]

Provider Time Savings:
- Baseline diagnosis time: [X min]
- Post-implementation: [Y min]
- Time saved per patient: [X-Y = Z min]
- Patients per provider per day: [P]
- Provider cost per minute: $[M]
- Annual provider days: [D]
- Value of time saved: [Z × P × $M × D] = $[T]

Reduced Rework (Retakes):
- Baseline retake rate: [X%]
- Post-implementation: [Y%]
- Cost per retake: $[R]
- Annual images: [I]
- Savings: [(X-Y)% × $R × I] = $[S]

TOTAL ANNUAL IMPACT: $[C + T + S]
ANNUAL COST: $[License + Support + Implementation Amortized]
NET ROI: [Total Impact - Cost] / Cost = [X%]

Staff Feedback Collection

5-Question Pulse Survey (Weekly During Rollout, Monthly Ongoing)

Administered via: [Survey tool—SurveyMonkey, Google Forms, integrated platform]

DIAGNOCAT PULSE SURVEY - [Location] - [Date]

1. How confident are you using Diagnocat in your daily workflow?
   (1 = Not confident, 5 = Very confident)
   [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ]

2. Has Diagnocat improved, maintained, or reduced your efficiency?
   [ Improved ] [ Maintained ] [ Reduced ]

3. How would you rate the quality of AI findings?
   (1 = Unreliable, 5 = Very reliable)
   [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ]

4. How responsive is support when you have issues?
   (1 = Unresponsive, 5 = Very responsive)
   [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ]

5. What's one thing that would improve your experience?
   [Open text]

Role: [ Provider ] [ Hygienist ] [ Assistant ] [ Front Desk ] [ Billing ]

Feedback Analysis and Action

Survey Score Trend	Action
Average improving	Continue current support level
Average stable ≥3.5	Maintain, address specific open-text themes
Average stable <3.5	Champion + regional intervention, identify root cause
Average declining	🟣 Escalate to CDO, consider workflow review

Workflow Refinements (Common Adjustments After Month 1)

Area	Common Refinement	Trigger
Report display	Adjust default view to prioritize high-confidence findings	Provider feedback: "Too much information"
Notification settings	Reduce alerts for low-confidence findings	Alert fatigue
Override workflow	Simplify override documentation	Providers skipping proper documentation
Integration timing	Adjust auto-processing delay	Too many duplicate submissions
Patient communication	Expand scripts for specific questions	Recurring patient queries
Training refresh	Focus on specific feature utilization	Low adoption of specific features

Centralized Dashboard Structure

Per-Location View

| Metric