MaxAssist
Step-by-step implementation guide — pre-implementation checklist, onboarding, staff training, go-live runbook, and ROI tracking.
MaxAssist — Implementation Playbook (DSO)
MaxAssist Implementation Playbook
Practice Management AI for Dental Support Organizations
1. Executive Summary
What MaxAssist Does
MaxAssist is an AI-powered practice management platform that automates patient communication, appointment scheduling, treatment coordination, and revenue cycle tasks. The system uses natural language processing to handle inbound and outbound patient interactions, intelligent automation to reduce administrative burden, and predictive analytics to optimize scheduling and reduce no-shows across your organization.
Why DSOs Benefit from Practice Management AI at Scale
Practice management AI delivers compounding returns for multi-location organizations:
- Standardization Advantage: Deploy consistent patient communication protocols, scheduling logic, and follow-up workflows across all locations—eliminating the variance that comes from individual office manager preferences
- Data Aggregation Power: Aggregate operational data across 15–50+ locations to identify systemic inefficiencies, benchmark performance, and surface best practices that can be scaled
- Labor Leverage: A single AI system can handle communication volume equivalent to dozens of FTEs, providing staffing flexibility during hiring challenges and reducing per-location administrative overhead
- Centralized Optimization: Make one configuration change centrally and deploy it everywhere, versus training and retraining staff at each location
Expected Timeline: Decision to Full Deployment
| Phase | Duration | Milestone |
|---|---|---|
| Pre-Implementation | Weeks 1–2 | Infrastructure audit, stakeholder alignment, baseline metrics |
| Pilot Wave (2–3 locations) | Weeks 3–6 | Configuration, training, go-live, stabilization |
| Wave 2 (5–8 locations) | Weeks 7–10 | Expanded rollout with refined playbook |
| Wave 3+ (remaining locations) | Weeks 11–16 | Full deployment at scale |
| Optimization | Weeks 17–20 | ROI validation, workflow refinement |
Total Timeline: 16–20 weeks for a 30-location DSO, assuming standard readiness. Highly mature organizations may compress to 12–14 weeks; organizations with significant infrastructure gaps should plan for 22–26 weeks.
2. Pre-Implementation Checklist (Weeks 1–2)
Technical Requirements
Hardware Requirements (Per Location)
☐ Workstations: Windows 10/11 or macOS 12+, minimum 8GB RAM, SSD storage
☐ Displays: 1920x1080 minimum resolution (MaxAssist dashboard requires screen real estate)
☐ Headsets with noise-canceling microphones if using voice AI features
☐ Dedicated workstation or shared terminal for front desk MaxAssist access
Network Requirements
☐ Minimum 50 Mbps download / 10 Mbps upload per location (100/25 recommended)
☐ ⚠️ Latency under 100ms to MaxAssist cloud servers (test with vendor-provided diagnostic tool)
☐ Firewall whitelist for MaxAssist domains (provided during onboarding)
☐ Guest/patient WiFi must be segmented from operational network
Software Requirements
☐ Practice Management System: Dentrix G7+, Eaglesoft 21+, Open Dental 22.1+, or Denticon (cloud)
☐ Browser: Chrome 90+ or Edge 90+ (Safari not fully supported)
☐ Email system with API access (Microsoft 365 or Google Workspace)
☐ Phone system with SIP/VoIP capability for call integration (RingCentral, Weave, or compatible)
Vendor Onboarding Steps
| Step | Owner | Timing |
|---|---|---|
| 🔵 Execute Master Service Agreement | Legal + Vendor | Week 1, Day 1–2 |
| 🔵 Complete Business Associate Agreement (BAA) | Compliance + Vendor | Week 1, Day 1–2 |
| 🔵 Receive enterprise admin credentials | IT + Vendor | Week 1, Day 3 |
| 🔵 Schedule technical kickoff call | IT + Vendor Implementation Lead | Week 1, Day 3–4 |
| 🔵 Obtain dedicated Customer Success Manager contact | Operations + Vendor | Week 1, Day 3 |
| 🔵 Receive integration documentation and API credentials | IT + Vendor | Week 1, Day 5 |
Key Vendor Contacts to Establish
☐ Implementation Project Manager (your primary contact during deployment)
☐ Technical Integration Specialist (for PMS/imaging connections)
☐ Enterprise Customer Success Manager (for ongoing relationship post-deployment)
☐ 24/7 Support escalation path and SLA documentation
Data/Access Prerequisites
☐ Admin-level credentials for each PMS instance
☐ API keys generated for MaxAssist integration (see vendor documentation)
☐ Read/write access to patient demographic and appointment data
☐ Access to 12+ months of historical appointment data for AI training
☐ Phone system admin access for call routing integration
☐ Email domain verification for outbound patient communication
☐ SMS short code registration (if using MaxAssist SMS; 4–6 week lead time—start immediately)
Enterprise-Level Requirements
Network Standards Across Locations
☐ 🟣 Decide: Centralized VPN architecture vs. direct cloud connection per location
☐ Document network topology for each location (IT audit if unknown)
☐ Standardize firewall rules across all locations before deployment
☐ ⚠️ Identify locations with outdated networking equipment requiring upgrades
Hosting Architecture
☐ 🟣 Decide: MaxAssist cloud-hosted (recommended) vs. hybrid with on-prem components
☐ Confirm data residency requirements (US-based servers standard)
☐ Document disaster recovery expectations and vendor SLAs
Identity and Access Management
☐ 🟣 Decide: SSO integration (Okta, Azure AD, Google) vs. MaxAssist native authentication
☐ If SSO: Initiate integration 2 weeks before pilot (requires IT and vendor coordination)
☐ Define role-based access levels: Admin, Regional Manager, Office Manager, Provider, Staff
☐ Centralized user provisioning/deprovisioning process documented
Centralized Credentialing
☐ Establish process for adding/removing users across all locations
☐ Define approval workflow for elevated permissions
☐ Document termination protocol to revoke access within 24 hours
Internal Stakeholder Alignment
Stakeholder Alignment Map
| Stakeholder Level | Who | Needs to Know | Needs to Approve | Communication Cadence |
|---|---|---|---|---|
| Board/Investors | Board members, PE partners | ROI thesis, timeline, risk mitigation | 🟣 Budget allocation, vendor selection | Monthly summary during rollout |
| C-Suite | CEO, CDO, COO, CFO, CTO | Strategic rationale, resource requirements, success metrics | 🟣 Go/no-go decisions between waves | Weekly during implementation |
| Regional Managers | Regional VPs, Area Directors | Rollout sequence, location responsibilities, escalation paths | Wave timing for their regions | Bi-weekly briefings |
| Office Managers | Location-level OMs | Day-to-day workflow changes, training schedule, support resources | N/A (informed, not approving) | Weekly during their wave |
| Providers | Dentists, hygienists | Clinical workflow impact, what changes for them | N/A | Training + go-live communication |
| Support Staff | Front desk, billing, call center | Task-level changes, new responsibilities | N/A | Training + go-live communication |
Alignment Actions (Week 1)
☐ 🟣 Executive sponsor identified (recommend: COO or VP Operations)
☐ 🟣 Budget approval confirmed and documented
☐ Steering committee formed: Executive sponsor, CDO, CTO/IT Lead, Regional Manager representative
☐ Steering committee kickoff meeting scheduled
☐ Communication plan drafted for each stakeholder tier
☐ ⚠️ Identify known resistors early—schedule 1:1 conversations with executive sponsor
Baseline Metrics to Capture
Operational Metrics (Standardized Measurement Across Locations)
| Metric | How to Measure | Measurement Period | Notes |
|---|---|---|---|
| Appointment fill rate | (Scheduled appointments / Available slots) x 100 | Last 90 days | Pull from PMS |
| No-show rate | (No-shows / Total scheduled) x 100 | Last 90 days | Include late cancellations |
| Same-day/next-day fill rate | Emergency/open slots filled within 24 hours | Last 90 days | Manual tracking may be required |
| Average calls to schedule | Inbound calls / New appointments scheduled | Last 30 days | Requires phone system data |
| Treatment acceptance rate | (Accepted treatment value / Presented treatment value) x 100 | Last 90 days | Pull from PMS |
| Average days to treatment start | Days between treatment presentation and first appointment | Last 90 days | |
| Patient reactivation rate | Dormant patients (18+ months) returning | Last 12 months | |
| Front desk labor hours | FTE hours spent on scheduling, confirmation, follow-up | Current snapshot | Time study or estimate |
Financial Metrics
| Metric | How to Measure | Measurement Period |
|---|---|---|
| Revenue per location | Gross collections | Last 12 months |
| Revenue per FTE (admin) | Collections / Admin FTEs | Current |
| Claim denial rate | Denied claims / Total claims submitted | Last 90 days |
| Days in A/R | Average days to collect | Current snapshot |
Cross-Location Standardization Requirements
☐ Confirm all locations using same PMS version (or document variations)
☐ Align on metric definitions—circulate glossary to all regional managers
☐ Identify data quality issues (locations with incomplete records, recent PMS migrations)
☐ Establish single data extraction method (central IT pull vs. location-level export)
☐ ⚠️ Flag locations with <6 months of clean data—may need extended baseline period
3. Location Readiness Assessment
Scoring Framework
Score each location on the following factors using a 1–5 scale:
Factor 1: IT Infrastructure Maturity
| Score | Criteria |
|---|---|
| 5 | Fiber internet 100+ Mbps, all workstations <3 years old, PMS fully current, dedicated IT support |
| 4 | Cable internet 50+ Mbps, workstations <5 years old, PMS within 1 version of current |
| 3 | Adequate internet (25+ Mbps) with occasional reliability issues, mixed workstation ages, PMS within 2 versions |
| 2 | Unreliable internet or <25 Mbps, several outdated workstations, PMS version requiring upgrade |
| 1 | Significant infrastructure gaps, frequent technical issues, PMS incompatible without major upgrade |
Factor 2: Staff Tenure and Adaptability
| Score | Criteria |
|---|---|
| 5 | Average tenure >3 years, <10% annual turnover, history of successful tech adoptions, staff enthusiasm for AI |
| 4 | Average tenure 2–3 years, 10–20% turnover, generally positive tech adoption history |
| 3 | Average tenure 1–2 years, 20–30% turnover, mixed tech adoption results |
| 2 | Average tenure <1 year, 30–40% turnover, or known resistance to recent technology changes |
| 1 | High turnover (>40%), recent failed technology implementation, active staff resistance anticipated |
Factor 3: Patient Volume
| Score | Criteria | Risk/Reward Note |
|---|---|---|
| 5 | High volume (80+ patients/day) | Highest ROI potential but highest go-live risk |
| 4 | Above average (60–79 patients/day) | Strong ROI, manageable risk |
| 3 | Average (40–59 patients/day) | Moderate ROI and risk—ideal for pilots |
| 2 | Below average (25–39 patients/day) | Lower immediate ROI, lower risk—good for learning |
| 1 | Low volume (<25 patients/day) | Limited immediate impact, may not justify early prioritization |
Factor 4: Existing Tech Stack Compatibility
| Score | Criteria |
|---|---|
| 5 | PMS, phone system, and email all on MaxAssist-certified integrations list; no customizations |
| 4 | Primary systems compatible; minor configuration needed |
| 3 | Most systems compatible; 1 system requires workaround or partial manual process |
| 2 | Significant integration work required; 1+ system incompatible requiring replacement or manual bridge |
| 1 | Major incompatibilities; would require substantial infrastructure changes before MaxAssist deployment |
Factor 5: Local Champion Availability
| Score | Criteria |
|---|---|
| 5 | Tech-forward Office Manager or lead provider actively volunteering to champion; proven track record |
| 4 | Capable Office Manager or provider willing to champion with support |
| 3 | Office Manager willing but inexperienced with technology rollouts; will need significant coaching |
| 2 | No natural champion identified; would need to assign someone without enthusiasm |
| 1 | Office Manager or lead provider actively resistant; no alternative champion candidates |
Composite Readiness Score Calculation
| Factor | Weight | Score (1–5) | Weighted Score |
|---|---|---|---|
| IT Infrastructure | 25% | ___ | ___ |
| Staff Tenure/Adaptability | 20% | ___ | ___ |
| Patient Volume | 15% | ___ | ___ |
| Tech Stack Compatibility | 25% | ___ | ___ |
| Local Champion | 15% | ___ | ___ |
| Total | 100% | ___ |
Interpretation:
- 4.0–5.0: High readiness—prioritize for Wave 1 or early Wave 2
- 3.0–3.9: Moderate readiness—suitable for Wave 2 or Wave 3
- 2.0–2.9: Low readiness—address gaps before inclusion; consider late Wave 3 or Phase 2
- Below 2.0: Not ready—remediation plan required before rollout
Recommended Rollout Sequence
Wave 1 Selection (2–3 Locations)
Select locations that are:
- High readiness score (4.0+)
- Representative of your portfolio (mix of geography, specialty if applicable)
- NOT your highest-volume or highest-revenue locations (protect downside)
- Have strong local champions who will provide quality feedback
Ideal Wave 1 Profile: A 3.5–4.5 readiness score location with an engaged Office Manager, clean data, and patient volume in the 40–60 range. You want enough volume to test meaningfully but not so much that a go-live hiccup becomes a major incident.
Wave 2 Selection (5–8 Locations)
- Readiness scores 3.5+
- Incorporate lessons from Wave 1
- Include at least one higher-volume location to stress-test at scale
- Balance across regions to distribute change management load
Wave 3+ Selection (Remaining Locations)
- All remaining locations with readiness scores 3.0+
- May run multiple concurrent sub-waves if organization has capacity
- Locations below 3.0 should have remediation plans completed before inclusion
4. Rollout Strategy
Wave Structure Recommendation
For a 30-location DSO, the recommended wave structure is:
| Wave | Locations | Duration | Purpose |
|---|---|---|---|
| Wave 1 (Pilot) | 2–3 | 4 weeks | Validate configuration, identify issues, refine training |
| Wave 2 (Expansion) | 5–8 | 3 weeks | Test scalability, stress-test support model |
| Wave 3A | 8–10 | 3 weeks | Scale deployment |
| Wave 3B | Remaining | 3 weeks | Complete rollout |
| Stabilization | All | 4 weeks | Optimization, final training, ROI validation |
Wave 1 Pilot Selection Criteria
Select locations that meet ALL of the following:
☐ Composite readiness score ≥4.0
☐ NOT in top 5 revenue locations (protect downside)
☐ Office Manager actively engaged and willing to provide detailed feedback
☐ At least one provider who is technology-forward
☐ Clean PMS data (no recent migration, no known data quality issues)
☐ Geographically accessible for on-site support if needed
☐ Representative of broader portfolio (don't pilot only at specialty locations if most locations are GP)
Timeline Per Wave
Wave 1 (4 Weeks)
- Week 1: Configuration, integration testing, champion training
- Week 2: Staff training, parallel run begins
- Week 3: Go-live, intensive support
- Week 4: Stabilization, issue resolution, lessons learned documentation
Wave 2 (3 Weeks)
- Week 1: Configuration (using Wave 1 template), champion training
- Week 2: Staff training, go-live
- Week 3: Stabilization, parallel support for Wave 1 optimization
Wave 3+ (3 Weeks Per Sub-Wave)
- Follow Wave 2 pattern
- Reduce intensive support as playbook matures
Buffer Between Waves
☐ Minimum 1 week buffer between Wave 1 completion and Wave 2 kickoff
☐ Buffer used for: lessons learned session, playbook updates, support capacity reset
☐ ⚠️ Do not skip buffer—compression here causes cascading issues
Go/No-Go Criteria
Criteria to Advance from Wave 1 to Wave 2
🟣 Executive decision required—Steering Committee approval
| Category | Go Criteria | No-Go Triggers |
|---|---|---|
| Technical | All integrations functioning; <5 unresolved bugs (none critical) | Any critical integration failure; >10 unresolved bugs |
| Operational | 80%+ of scheduled tasks completing via MaxAssist | <60% task completion rate |
| User Adoption | 90%+ of staff using system daily; champion rates experience as "positive" | Widespread staff refusal; champion escalating concerns |
| Patient Impact | No increase in patient complaints; no missed appointments due to system | Any patient harm incident; measurable increase in complaints |
| Support Load | Vendor support tickets trending down after Week 2 | Support tickets still escalating in Week 4 |
Criteria to Advance from Wave 2 to Wave 3
| Category | Go Criteria | No-Go Triggers |
|---|---|---|
| Scalability | Support model handled Wave 2 without degradation | Support team overwhelmed; Wave 1 locations deprioritized |
| Consistency | Wave 2 locations performing within 10% of Wave 1 metrics | Significant performance variance suggesting configuration issues |
| Champion Model | Train-the-trainer model working; champions successfully delivering training | Champions requiring heavy central support; training quality inconsistent |
| Process | Playbook and templates stable; minimal ad-hoc decisions | Frequent playbook changes suggesting premature standardization |
Rollback Plan
Rollback Triggers
- Critical patient safety issue
- Data integrity compromise
- Integration failure causing PMS corruption
- Staff unable to complete core functions (scheduling, patient communication)
- 🟣 Executive decision to pause
Rollback Procedure (Per Location)
- Notify vendor support immediately (escalate to Tier 2)
- Disable MaxAssist automations (do NOT uninstall)
- Revert to manual workflows documented in pre-implementation backup
- Communicate to staff: "We are pausing MaxAssist while we resolve [issue]. Return to previous workflow."
- Document all issues with timestamps
- Schedule incident review within 48 hours
Isolation Protocol
☐ Rollback at one location does NOT trigger rollback at others unless root cause is systemic
☐ Regional Manager authority to pause one location; C-suite authority required for wave pause
☐ Vendor must provide incident report within 72 hours for any rollback
5. Configuration & Integration (Weeks 2–3)
Practice Management System Integration
Dentrix Enterprise Integration
Prerequisites:
☐ Dentrix Enterprise G7.3 or higher
☐ Dentrix API license active (contact Henry Schein if unclear)
☐ Server admin credentials
☐ ⚠️ Dentrix Ascend (cloud) requires different integration path—confirm with vendor
Integration Steps:
- 🔵 Obtain MaxAssist Dentrix connector from vendor portal (Vendor provides)
- Install connector on Dentrix server (IT: 30 minutes per location)
- Configure API connection using credentials provided by MaxAssist
- Map data fields:
- Patient demographics
- Appointment types
- Provider schedules
- Operatory configurations
- Insurance information
- Run initial data sync (overnight for large databases)
- ⚠️ Validate sync accuracy: spot-check 20 random patient records
- Enable real-time sync after validation
Estimated Time: 2–4 hours per location (initial); 30 minutes ongoing for multi-location template deployment
Eaglesoft Integration
Prerequisites:
☐ Eaglesoft 21.00 or higher
☐ SQL Server access enabled
☐ Database backup completed before integration
Integration Steps:
- 🔵 Obtain MaxAssist Eaglesoft connector
- Enable SQL access in Eaglesoft (may require Patterson support)
- Install connector, configure connection string
- Map data fields (similar to Dentrix)
- Test read operations before enabling write
- ⚠️ Eaglesoft audit log: verify MaxAssist actions are logged appropriately
- Enable real-time sync
Estimated Time: 3–5 hours per location
Open Dental Integration
Prerequisites:
☐ Open Dental 22.1 or higher
☐ Open Dental API key (generated in Setup > Advanced Setup > API)
☐ 🔵 MaxAssist requires Open Dental "Full" API tier
Integration Steps:
- Generate API key with appropriate permissions
- Configure MaxAssist with API endpoint and key
- Open Dental's API is well-documented—most integrations complete in <2 hours
- Enable webhooks for real-time appointment updates
- Test bi-directional sync
Estimated Time: 1–2 hours per location (Open Dental's modern API is fastest)
Phone System Integration
Supported Systems
- RingCentral (native integration)
- Weave (native integration)
- 8x8 (API integration)
- Generic SIP (requires configuration)
Integration Steps:
- 🔵 Obtain phone system API credentials from vendor or telecom provider
- Configure call routing to MaxAssist for designated lines (e.g., new patient line)
- Test inbound call handling in sandbox mode
- Configure voicemail transcription if applicable
- Test outbound calling (appointment confirmations)
- ⚠️ Verify caller ID displays practice name, not MaxAssist
Estimated Time: 2–3 hours per location
Test Environment Setup
Centralized Test Environment (Recommended)
☐ 🔵 Request MaxAssist sandbox instance (separate from production)
☐ Load representative sample data (anonymized production data or synthetic)
☐ Configure sandbox identically to planned production settings
☐ Grant access to IT team, select champions, and steering committee members
☐ Document all testing scenarios
Validation Checklist
☐ Appointment creation from MaxAssist appears in PMS
☐ Appointment changes in PMS sync to MaxAssist within 60 seconds
☐ Patient demographic updates sync bi-directionally
☐ Automated patient messages contain correct information
☐ Call routing functions correctly (test with actual phone call)
☐ SMS delivery functions (test with real mobile number)
☐ User authentication works (especially if SSO enabled)
☐ Role-based permissions restrict access appropriately
☐ ⚠️ Test edge cases: cancelled appointments, patient merge, provider schedule change
Data Migration / Historical Ingestion
☐ 🔵 Confirm with vendor: What historical data does MaxAssist ingest?
- Typically: 12–24 months appointment history for AI training
- May include: treatment history for recare predictions
☐ Export historical data in vendor-specified format
☐ 🔵 Vendor ingests and processes data (2–5 business days)
☐ Validate AI predictions against known patterns (e.g., "does it correctly identify overdue recare patients?")
Security and HIPAA Compliance
Enterprise-Level HIPAA Checklist
☐ 🔵 Business Associate Agreement executed (should be complete in Week 1)
☐ Verify MaxAssist SOC 2 Type II certification current
☐ Confirm data encryption at rest (AES-256 minimum) and in transit (TLS 1.2+)
☐ Review vendor data retention policies
☐ 🟣 Confirm data deletion process upon contract termination
☐ Audit logging enabled for all MaxAssist user actions
☐ Access controls validated: users only see data for their assigned locations
☐ ⚠️ If SSO: verify identity provider security policies meet organizational standards
Access Control Verification
☐ Test role-based access: can a front desk user at Location A see data from Location B? (Answer should be NO)
☐ Test admin access: can regional admin see all locations in region?
☐ Verify terminated user revocation process
☐ Document access audit process for compliance reviews
Standardized vs. Location-Specific Configuration
Standardize Centrally (Configure Once, Deploy Everywhere)
| Setting | Standard Value | Rationale |
|---|---|---|
| Appointment confirmation timing | 48 hours and 2 hours before | Consistent patient experience |
| No-show follow-up sequence | Day 0, Day 3, Day 7 | Standardized reactivation funnel |
| Business hours defaults | By region | Consistency within region |
| Message templates (base versions) | Centrally approved | Brand consistency, compliance |
| User role definitions | Organization-wide | Security and audit consistency |
| Data field mappings | Universal | Cross-location reporting integrity |
Allow Local Discretion
| Setting | Local Control | Notes |
|---|---|---|
| Provider schedule preferences | Office Manager | Providers have different scheduling philosophies |
| Specialty appointment types | Office Manager | Specialty locations have unique procedures |
| Local phone numbers | Location-specific | Patients call local numbers |
| Specific message wording | Within templates | Allow location flavor within brand guardrails |
| Holiday schedules | Office Manager | Regional variations |
6. Team Training Plan
Train-the-Trainer Model
Overview
Central team trains Location Champions → Champions train their location staff
This model:
- Scales efficiently across 15–50 locations
- Creates local ownership and expertise
- Reduces central team travel and bandwidth
- Provides ongoing local support resource
Champion Selection Criteria
Ideal Champion Profile:
☐ Office Manager or senior front desk staff (not a provider—they're too busy)
☐ Minimum 1 year tenure at location
☐ Tech-comfortable: uses smartphone apps, comfortable learning new software
☐ Respected by peers; seen as helpful rather than authoritarian
☐ Strong communication skills—can explain concepts clearly
☐ ⚠️ Avoid: staff members already overwhelmed with other responsibilities
Champion Responsibilities:
- Attend central champion training (4–6 hours)
- Deliver role-specific training to all location staff
- Serve as first point of contact for staff questions post-launch
- Participate in weekly champion calls during rollout wave
- Escalate issues to regional manager or central team
- Track training completion for their location
Champion Certification Process
- Complete online prerequisite modules (2 hours) — Vendor-provided
- Attend live virtual champion training session (4 hours) — Central team + Vendor
- Pass certification assessment (80% minimum score)
- Conduct practice training session with central team observer
- Receive certification and access to champion resources
🔵 Vendor provides: Champion training curriculum, certification assessment, champion resource portal
Role-Specific Training Outlines
Dentists/Providers
Training Duration: 45 minutes
Format: In-office session (lunch-and-learn works well) + 5-minute video reference
Content:
Overview: What MaxAssist does and doesn't do (5 min)
- AI handles scheduling, communication, admin tasks
- Clinical decisions remain with providers
What changes in your workflow (10 min)
- Morning dashboard: see today's AI-predicted no-shows
- Schedule optimization: AI backfills cancellations automatically
- Treatment follow-up: AI reminds patients who haven't scheduled
What you'll see on screen (10 min)
- MaxAssist widget in PMS (where it appears)
- AI-generated patient summaries before appointments
- How to access AI-scheduled appointments
Interpreting AI outputs (10 min)
- No-show probability scores (what they mean, when to trust them)
- Treatment acceptance predictions
- ⚠️ When to override: AI is a tool, not a decision-maker
Q&A and concerns (10 min)
Common Resistance Points:
- "AI will make mistakes and I'll be blamed"
- Response: All AI suggestions are visible and can be overridden. You remain in control. MaxAssist handles administrative burden so you can focus on clinical care.
- "I don't have time for another system"
- Response: You won't interact with MaxAssist directly during appointments. It works in the background. The only change is fewer empty chairs and better-prepared patients.
Day 1 Cheat Sheet for Providers:
┌─────────────────────────────────────────────────────────────────┐
│ MAXASSIST - PROVIDER QUICK REFERENCE │
├─────────────────────────────────────────────────────────────────┤
│ MORNING: Check MaxAssist dashboard for no-show predictions │
│ │
│ DURING DAY: AI auto-fills cancellations - no action needed │
│ │
│ PATIENT QUESTIONS: "We have a new system helping with │
│ scheduling - it's making things smoother for everyone." │
│ │
│ OVERRIDE: Click [Override] on any AI recommendation you │
│ disagree with. No explanation required. │
│ │
│ ISSUES? → Office Manager → Regional → Central IT │
└─────────────────────────────────────────────────────────────────┘
Hygienists
Training Duration: 30 minutes
Format: In-office session with champion
Content:
Overview: How MaxAssist affects your day (5 min)
- Recare automation means more consistent patient flow
- AI schedules recare appointments during checkout
Your touchpoints (15 min)
- Tablet/screen prompt during checkout: confirm next recare
- Patient communication: "Our system will remind you when it's time"
- ⚠️ Don't promise AI capabilities you're unsure about—defer to front desk
What to do if a patient asks (5 min)
- Standard responses for common questions
Q&A (5 min)
Day 1 Cheat Sheet for Hygienists:
┌─────────────────────────────────────────────────────────────────┐
│ MAXASSIST - HYGIENIST QUICK REFERENCE │
├─────────────────────────────────────────────────────────────────┤
│ AT CHECKOUT: Confirm recare appointment on screen │
│ │
│ PATIENT COMMUNICATION: "You'll receive text and email │
│ reminders automatically. Is your contact info current?" │
│ │
│ IF PATIENT
AI-generated implementation guide based on public vendor information. Verify specifics directly with MaxAssist.