Implementation PlaybookDSO · Group Practice

DentalRobot

Step-by-step implementation guide — pre-implementation checklist, onboarding, staff training, go-live runbook, and ROI tracking.

Contents

DentalRobot — Implementation Playbook (DSO)

DentalRobot Implementation Playbook for DSOs

Revenue Cycle AI: A Strategic Deployment Guide

1. Executive Summary

What DentalRobot Does

DentalRobot is an AI-powered revenue cycle management platform that automates claims submission, denial management, payment posting, and eligibility verification across your dental organization. The platform uses machine learning to identify claim errors before submission, predict denial likelihood, automate appeals, and optimize coding accuracy—reducing manual billing workload while accelerating cash flow.

Why DSOs Specifically Benefit from Revenue Cycle AI

Scale Advantages:

A single billing error pattern identified at one location can be corrected across 50 locations simultaneously
Centralized AI training improves accuracy faster—every claim processed makes the model smarter for your entire organization
Volume leverage with payers: aggregated data reveals payer-specific denial patterns invisible at the practice level

Standardization Benefits:

Eliminates billing workflow variance between locations that creates inconsistent collections
Normalizes coding practices, reducing audit risk and improving compliance posture
Creates unified reporting for accurate financial forecasting across the portfolio

Data Aggregation Power:

Cross-location benchmarking identifies underperforming revenue cycle operations instantly
Payer contract negotiation leverage: aggregated denial data proves underpayment patterns
Predictive analytics enable proactive intervention before revenue leakage occurs

Expected Timeline: Decision to Full Deployment

Phase	Duration	Outcome
Pre-Implementation	Weeks 1–2	Infrastructure ready, baselines captured
Pilot Wave (2–3 locations)	Weeks 3–6	Validated workflows, refined training
Wave 2 (5–8 locations)	Weeks 7–10	Scaled deployment, regional champions trained
Wave 3 (Remaining locations)	Weeks 11–16	Full deployment
Optimization	Weeks 17–24	ROI validation, workflow refinement

Total: 16–24 weeks for a 15–50 location DSO, depending on IT infrastructure consistency and change management velocity.

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

Technical Requirements

Hardware

☐ Verify all locations have workstations meeting minimum specs (8GB RAM, modern browser support) ☐ Confirm billing workstations have dual monitors (recommended for parallel workflow during transition) ☐ Inventory any legacy hardware at billing-heavy locations that may need upgrade

Software

☐ Document PMS versions at every location (Dentrix, Eaglesoft, Open Dental, other) ☐ Identify any locations running outdated PMS versions requiring upgrade before integration 🔵 ☐ Confirm browser versions support DentalRobot web interface (Chrome 90+, Edge 90+, Firefox 88+)

Network

☐ Verify minimum 25 Mbps upload/download at each location ⚠️ ☐ Confirm firewall rules can accommodate DentalRobot IP whitelist requirements 🔵 ☐ Test VPN stability if centralized billing team accesses location systems remotely

Integrations

☐ Obtain clearinghouse credentials and API documentation ☐ Document current ERA/EOB posting workflows ☐ Identify any third-party billing tools currently in use that may conflict or require retirement

Enterprise-Level Requirements

Network Standards Across Locations 🟣

☐ Decision required: Centralized vs. location-level hosting model

Centralized (Recommended): Single tenant instance, all locations connect to central environment
Location-level: Individual instances per location (higher cost, more complexity, rarely justified)

☐ Establish network performance baseline per location using standardized speed test protocol ☐ Create remediation plan for locations below minimum network thresholds

Security & Access

☐ Confirm SSO provider compatibility (Okta, Azure AD, Google Workspace) 🔵 ☐ Establish centralized credentialing protocol—who provisions accounts, who approves access levels ☐ Define role-based access control (RBAC) template:

Corporate billing: Full access, all locations
Regional manager: View/report access, regional locations
Location billing staff: Transaction access, own location only
Providers: Limited view access (optional)

Vendor Onboarding Steps

Step	Owner	Timeline	Vendor Required?
Execute enterprise BAA	Legal + Vendor	Day 1–3	🔵
Assign dedicated implementation manager	Vendor	Day 1	🔵
Complete technical discovery call	IT + Vendor	Day 3–5	🔵
Receive integration credentials	Vendor	Day 5–7	🔵
Establish support escalation matrix	Operations + Vendor	Day 5–7	🔵
Schedule executive kickoff call	C-Suite + Vendor	Day 7–10	🔵

Key Contacts to Establish

☐ DentalRobot Implementation Manager (primary contact for deployment) ☐ DentalRobot Technical Integration Specialist (API/PMS issues) ☐ DentalRobot Customer Success Manager (post-launch optimization) ☐ DentalRobot Support Desk (Tier 1 troubleshooting) ☐ DentalRobot Executive Sponsor (escalation for enterprise issues)

Data/Access Prerequisites

☐ Compile master list of all location PMS credentials (service account, not individual user) ☐ Gather clearinghouse login credentials for all locations ⚠️ ☐ Collect payer portal logins (top 10 payers minimum) for ERA/EOB verification ☐ Obtain historical claims data export (12 months minimum) for AI training 🔵 ☐ Create read-only API keys for PMS integration testing

Internal Stakeholder Alignment

Stakeholder Alignment Map 🟣

Stakeholder	Role in Implementation	Communication Cadence	Approval Authority
Board/Investors	Strategic oversight, budget approval	Monthly summary	Budget, timeline changes
CEO/CFO	Executive sponsor, ROI accountability	Bi-weekly briefing	Go/no-go decisions, scope changes
Chief Dental Officer	Clinical workflow sign-off	Weekly during pilot	Clinical workflow modifications
VP Operations	Implementation owner	Daily during rollout	Rollout sequence, resource allocation
VP Finance/RCM	Revenue metrics accountability	Weekly	Billing workflow changes
Regional Managers	Cascade communication, location oversight	Weekly	Location-specific timing
Office Managers	Local implementation lead	Daily during location go-live	Staff scheduling, local workflow
Billing Staff	End users	Training sessions	N/A
Providers	Informed stakeholders	Summary communication	N/A (unless clinical impact)

Approval Checkpoints 🟣

☐ Board approval: Budget and strategic initiative ☐ C-Suite approval: Vendor selection, timeline, success metrics ☐ VP Operations approval: Rollout sequence, pilot location selection ☐ Regional Manager acknowledgment: Resource commitment per region ☐ Office Manager acknowledgment: Go-live date acceptance

Baseline Metrics to Capture BEFORE Go-Live ⚠️

Critical: These metrics must be captured identically across all locations to enable valid post-implementation ROI comparison and cross-location benchmarking.

Revenue Cycle Metrics (Per Location + Aggregate)

Metric	Definition	Data Source	Capture Method
Days in A/R	Average days from service to payment	PMS Aging Report	Export monthly snapshot
Clean Claim Rate	% of claims accepted on first submission	Clearinghouse reports	Pull 90-day average
Denial Rate	% of claims denied (by payer, by code)	PMS + Clearinghouse	Pull 90-day average
Denial Appeal Success Rate	% of appealed denials overturned	Manual tracking or PMS	Audit sample
Time to Post Payment	Days from ERA receipt to posting	PMS transaction log	Sample 50 claims
Billing Staff Hours per Claim	FTE hours / claims processed	Time tracking + claim volume	Calculate monthly
Revenue per Provider per Day	Gross production / provider working days	PMS	Export monthly
Collection Rate	Collected / Billed	PMS	Calculate monthly
Claim Rejection Rate	% rejected before adjudication	Clearinghouse	Pull 90-day average
Average Reimbursement per Procedure	By CDT code, by payer	PMS	Export 12-month data

Standardization Protocol for Cross-Location Comparison

☐ Create a centralized baseline data collection template (spreadsheet or BI dashboard) ☐ Assign one owner per location responsible for accurate data entry ☐ Establish data collection deadline: 7 days before pilot go-live ☐ Central RCM team validates all submissions for methodology consistency ☐ Document any known data quality issues per location (incomplete records, PMS quirks)

3. Location Readiness Assessment

Scoring Framework

Rate each location 1–5 on the following factors. Sum scores to produce a composite readiness score (max 25 points).

Factor 1: IT Infrastructure Maturity (1–5)

Score	Criteria
1	Network under 10 Mbps, legacy hardware (5+ years), PMS version 2+ releases behind
2	Network 10–25 Mbps, some outdated workstations, PMS version 1 release behind
3	Network 25–50 Mbps, standard hardware, current PMS version
4	Network 50–100 Mbps, modern hardware, current PMS with regular updates
5	Network 100+ Mbps, new hardware, PMS on latest version, IT support on-site or rapid response

Factor 2: Staff Tenure and Adaptability (1–5)

Score	Criteria
1	High turnover (30%+ annual), no recent tech training, resistance to change documented
2	Moderate turnover (20–30%), limited tech training history, some resistance
3	Average turnover (10–20%), standard tech comfort, neutral to change
4	Low turnover (<10%), recent tech adoption success, generally positive toward change
5	Stable team, demonstrated tech champions, actively request improvements

Factor 3: Patient Volume (1–5)

Score	Criteria
1	Very low volume (<50 patients/week)—limited impact, not representative
2	Low volume (50–100 patients/week)
3	Moderate volume (100–150 patients/week)—good balance of impact and manageability
4	High volume (150–200 patients/week)—high impact, moderate risk
5	Very high volume (200+ patients/week)—highest impact but highest risk if issues occur

Note: For pilot selection, 3–4 is optimal. A score of 5 should typically wait for Wave 2.

Factor 4: Existing Tech Stack Compatibility (1–5)

Score	Criteria
1	Non-standard PMS, no clearinghouse integration, incompatible imaging system
2	Standard PMS but outdated version, manual clearinghouse process
3	Standard PMS (current version), standard clearinghouse, basic integration
4	Standard PMS with API access enabled, electronic ERA, compatible imaging
5	Fully integrated modern stack, HL7/API-ready, all data flows automated

Factor 5: Local Champion Availability (1–5)

Score	Criteria
1	No tech-forward staff, office manager disengaged or resistant
2	Office manager willing but overwhelmed, no backup champion
3	Office manager supportive, one additional staff member shows tech interest
4	Office manager engaged, billing lead tech-forward, clear champion identified
5	Office manager is a tech champion, provider actively supports, multiple staff ready to lead

Readiness Assessment Scorecard Template

Location	IT Infrastructure	Staff Adaptability	Patient Volume	Tech Compatibility	Local Champion	Total Score
Location A	4	4	3	4	5	20
Location B	3	3	4	3	4	17
Location C	2	2	5	3	2	14
Location D	5	4	3	5	4	21
...	...	...	...	...	...	...

Rollout Sequence Recommendation Based on Scores

Score Range	Rollout Wave	Rationale
19–25	Wave 1 (Pilot)	High readiness, manageable risk, likely to succeed
14–18	Wave 2	Moderate readiness, benefits from pilot learnings
9–13	Wave 3	Requires remediation or extra support, deploy after process mature
Below 9	Remediation Required	Address infrastructure or staffing gaps before deployment

Additional Pilot Selection Criteria 🟣

Beyond readiness score, Wave 1 pilots should: ☐ Represent at least 2 different PMS systems in your portfolio ☐ Include at least 1 location with centralized billing and 1 with local billing (if both models exist) ☐ Not include your highest-revenue location (risk mitigation) ☐ Include at least 1 location with a CDO-trusted provider who can validate workflows ☐ Be geographically distributed if regional managers will own rollout (test communication chains)

4. Rollout Strategy

Wave Structure Recommendation

Recommended Approach: 3-Wave Deployment

Wave	Locations	Duration	Objective
Wave 1: Pilot	2–3 locations	Weeks 3–6 (4 weeks)	Validate integration, refine training, capture lessons
Wave 2: Expansion	5–8 locations	Weeks 7–10 (4 weeks)	Scale learnings, stress-test support model
Wave 3: Full Deployment	Remaining locations	Weeks 11–16 (6 weeks)	Complete rollout, address edge cases
Optimization	All locations	Weeks 17–24	ROI validation, workflow maturation

Wave 1: Pilot Selection Criteria 🟣

Select 2–3 locations that score 19+ on readiness assessment AND meet these additional criteria:

Required: ☐ Identified local champion confirmed available for extra touchpoints ☐ Office manager agrees to daily check-ins during pilot ☐ No major staffing transitions planned during pilot period ☐ Network infrastructure verified and tested

Preferred: ☐ Representative of broader portfolio (PMS mix, specialty mix, geographic spread) ☐ Billing staff tenure >1 year ☐ Historical openness to process improvement initiatives ☐ CDO or clinical leadership has relationship with providers at this location

Avoid for Pilot: ☐ Highest-volume or highest-revenue locations ☐ Locations with pending remodel, acquisition integration, or major staffing changes ☐ Locations where previous tech implementations failed ☐ Locations with known network instability

Timeline Per Wave

Wave 1: Pilot (Weeks 3–6)

Week	Activities
Week 3	Integration activation, test claim processing, champion training 🔵
Week 4	Go-live, daily check-ins, real-time troubleshooting
Week 5	Parallel workflow (old + new), first-week metrics review
Week 6	Pilot retrospective, lessons learned documentation, go/no-go decision

Wave 2: Expansion (Weeks 7–10)

Week	Activities
Week 7	Integration activation for Wave 2 locations 🔵, train-the-trainer sessions
Week 8	Staggered go-live (2–3 locations per day), distributed support
Week 9	Parallel workflow, metrics collection
Week 10	Wave 2 retrospective, go/no-go for Wave 3

Wave 3: Full Deployment (Weeks 11–16)

Week	Activities
Weeks 11–12	Integration activation for remaining locations 🔵
Weeks 13–14	Staggered go-live (3–5 locations per day)
Weeks 15–16	Full deployment complete, transition to optimization phase

Go/No-Go Criteria 🟣

Advance to Next Wave If:

☐ 80%+ of pilot/wave claims processed successfully without manual intervention ☐ No unresolved integration failures blocking core workflows ☐ Staff feedback score ≥3.5/5 on adoption survey ☐ No revenue disruption exceeding 5% deviation from baseline ☐ All critical bugs reported to vendor with confirmed resolution path 🔵 ☐ Training completion rate ≥95% for deployed locations

Pause/Delay If: ⚠️

☐ Denial rate increases >10% vs. baseline ☐ Critical integration failure affecting >20% of claims ☐ Staff feedback score <3.0/5 ☐ Local champion unavailable or disengaged ☐ Vendor unable to provide adequate support for expanded deployment 🔵

Rollback Plan ⚠️

If a Wave Fails:

Immediate Actions (Within 24 Hours)

Pause new location deployments
Notify vendor implementation manager of issues 🔵
Convene emergency triage call: VP Ops + IT + Vendor + Affected regional manager

Assessment Period (24–72 Hours)

Classify failure severity:
- Severity 1: Revenue-impacting, all claims affected → Full rollback
- Severity 2: Partial functionality, workarounds available → Targeted rollback
- Severity 3: Minor issues, manual intervention resolves → Continue with mitigation
Document root cause
Create remediation timeline with vendor 🔵

Rollback Execution (If Required)

Disable DentalRobot integration at affected locations
Revert to previous clearinghouse direct submission workflow
Assign temporary additional billing staff to handle backlog
Communicate to locations: specific timeline for resolution and re-deployment
Do not impact other waves unless root cause is systemic

Recovery

Remediation validated in test environment 🔵
Re-pilot at single affected location
Confirm success before resuming wave deployment
Add lessons learned to implementation playbook

5. Configuration & Integration (Weeks 2–3)

Practice Management System Integration

Dentrix Integration 🔵

Prerequisites: ☐ Dentrix G7 or later (G6.x requires upgrade path discussion with vendor) ☐ Dentrix Enterprise with API access enabled (DSO-specific) ☐ Service account credentials with appropriate permissions

Integration Steps:

☐ Generate API token from Dentrix Enterprise admin panel
☐ Provide token to DentalRobot implementation team 🔵
☐ Configure data sync scope (patient demographics, procedures, claims)
☐ Enable real-time claim status webhook
☐ Test connection with sample patient record ⚠️
☐ Verify bi-directional data flow (procedure → claim → payment posting)
☐ Configure ERA auto-posting rules based on your existing reconciliation workflow

Estimated Time: 2–4 hours per location (1 hour if enterprise-wide API)

Eaglesoft Integration 🔵

Prerequisites: ☐ Eaglesoft 21 or later ☐ Patterson Cloud Integration enabled ☐ Admin credentials for Patterson Technology Center

Integration Steps:

☐ Enable Patterson API access through Technology Center
☐ Authorize DentalRobot application within Patterson ecosystem 🔵
☐ Map procedure codes and fee schedules
☐ Configure claim routing rules
☐ Test with single claim submission ⚠️
☐ Validate ERA posting accuracy with test remittance

Estimated Time: 3–5 hours per location

Open Dental Integration 🔵

Prerequisites: ☐ Open Dental 22.1 or later ☐ API module enabled (may require additional license) ☐ MySQL database access for historical data pull

Integration Steps:

☐ Generate Open Dental API key from Program Links
☐ Configure DentalRobot with API endpoint 🔵
☐ Enable claim bridge functionality
☐ Map insurance plan database fields
☐ Test eligibility verification flow ⚠️
☐ Configure statement and patient balance sync

Estimated Time: 2–3 hours per location (Open Dental typically fastest integration)

Clearinghouse Integration 🔵

Common Clearinghouses:

Tesia/Vyne Dental
DentalXChange
NEA
Availity

Standard Integration Steps:

☐ Provide clearinghouse SFTP or API credentials to DentalRobot 🔵
☐ Configure payer routing rules
☐ Enable ERA retrieval and matching
☐ Test single claim end-to-end through clearinghouse ⚠️
☐ Verify rejection/denial notification flow
☐ Configure automated status update frequency

Estimated Time: 1–2 hours (typically single enterprise-wide configuration)

Test Environment Setup and Validation

Centralized Test Environment (Recommended for DSO) 🟣

☐ Decision: Establish single sandbox environment for all locations

Advantage: Consistent testing, faster issue identification, lower vendor effort 🔵
Approach: Clone 2–3 representative location datasets into test environment

Validation Checklist

Phase 1: Connection Validation ☐ API authentication successful ☐ Patient data sync complete and accurate ☐ Procedure/CDT code mapping verified ☐ Insurance carrier mapping verified ☐ Fee schedule import accurate

Phase 2: Transaction Validation ☐ Create test claim successfully ☐ Claim appears in clearinghouse queue ☐ Claim status updates flow back to DentalRobot ☐ ERA received and parsed correctly ☐ Payment posts to correct patient/procedure ☐ Adjustment codes applied accurately

Phase 3: Workflow Validation ⚠️ ☐ Eligibility check returns accurate benefits ☐ Pre-submission claim scrubbing catches intentional error ☐ Denial flagging identifies at-risk claims ☐ Appeal workflow triggers correctly ☐ Reporting data aggregates accurately across test locations

Historical Data Migration 🔵

Recommended Approach: ☐ Export 12–24 months of historical claims data from PMS ☐ Include: claims, payments, adjustments, denials, appeals, patient demographics ☐ Provide to DentalRobot for AI model training 🔵 ☐ Validate historical data completeness before import ☐ Confirm data mapping accuracy with vendor 🔵

Estimated Time: 1–2 weeks for data preparation; vendor handles ingestion 🔵

Security and HIPAA Compliance Verification

Enterprise HIPAA Checklist 🟣

Legal/Contractual: ☐ Business Associate Agreement (BAA) executed with DentalRobot 🔵 ☐ BAA reviewed by legal counsel ☐ Data processing addendum signed (if applicable, for international data handling) ☐ Breach notification procedures documented

Technical Controls: ☐ Data encrypted in transit (TLS 1.2+ minimum) ☐ Data encrypted at rest (AES-256 minimum) ☐ SSO integration confirmed (eliminates password management risk) ☐ Multi-factor authentication enabled for all accounts ☐ Role-based access control configured per DSO RBAC template ☐ Audit logging enabled for all transactions ☐ Vendor SOC 2 Type II report reviewed 🔵

Data Governance: ☐ Data retention policy aligned with DSO requirements ☐ Data deletion/export capabilities verified (for termination scenarios) ☐ PHI access logging meets audit requirements ☐ Patient data segmentation by location verified

Operational: ☐ Vendor security questionnaire completed 🔵 ☐ Incident response plan documented ☐ Annual security review cadence established with vendor 🔵

Standardized vs. Location-Specific Configuration

Standardize Centrally (Enterprise Template)

☐ Claim scrubbing rules ☐ CDT code mapping ☐ Denial reason code categorization ☐ Appeal letter templates ☐ ERA posting rules ☐ Report templates and KPIs ☐ User role definitions ☐ Integration credentials (enterprise-level)

Allow Location-Specific Configuration

☐ Provider-specific preferences (e.g., default coding preferences) ☐ Local payer-specific rules (regional insurers) ☐ Fee schedule variations (if not centralized) ☐ Workflow notification recipients ☐ Specialty-specific settings (Ortho, Pedo, Perio locations)

6. Team Training Plan

Train-the-Trainer Model

Champion Selection Criteria

☐ Minimum 1 year tenure at location ☐ Billing or office manager role (preferred) or senior billing staff ☐ Demonstrated comfort with technology ☐ Positive attitude toward process improvement ☐ Available for 8–12 hours of initial champion training ☐ Committed to ongoing training responsibility for new hires

Champion Responsibilities

Complete champion certification training (4 hours) 🔵
Train all location staff before go-live
Serve as first-line support for staff questions
Attend weekly champion check-in calls during rollout period
Document location-specific FAQs and workflow adaptations
Report issues through proper escalation channels
Train new hires within 30 days of start date

Champion Training Curriculum 🔵

Module	Duration	Format	Content
Platform Overview	1 hour	Video + Live Demo	Full system walkthrough, navigation, core features
Integration & Workflow	1 hour	Live Demo	PMS integration, claim submission, ERA posting
Troubleshooting	1 hour	Scenario-Based	Common issues, when to escalate, support resources
Training Delivery	1 hour	Workshop	How to train others, presentation tips, managing resistance

Role-Specific Training (Delivered by Champions)

Billing/Insurance Staff Training ⚠️

Training Focus: This is your primary user group—training quality here directly impacts ROI.

Topic	Duration	Format
Claim submission workflow	45 min	Hands-on
Pre-submission scrubbing review	30 min	Demo + Practice
Denial management queue	45 min	Hands-on
Appeal workflow	30 min	Demo + Practice
ERA posting and reconciliation	45 min	Hands-on
Eligibility verification	20 min	Demo
Reporting and metrics	20 min	Demo

Total Training Time: 4 hours (recommend split across 2 sessions)

Common Resistance Points:

"I already know how to work denials efficiently"
- Response: "DentalRobot identifies patterns you can't see manually—let's compare your top denial reasons to what the AI flags."
"This will replace my job"
- Response: "This handles the repetitive tasks so you can focus on complex claims, patient follow-up, and higher-value work."
"What if the AI is wrong?"
- Response: "You always have override capability. The AI learns from your corrections."

Day 1 Cheat Sheet for Billing Staff:

┌─────────────────────────────────────────────────────────────┐
│           DENTALROBOT - BILLING STAFF QUICK REFERENCE       │
├─────────────────────────────────────────────────────────────┤
│ DAILY WORKFLOW:                                             │
│ 1. Check "Attention Required" queue first thing             │
│ 2. Review AI-flagged claims before auto-submission          │
│ 3. Process ERA posting queue (aim for same-day posting)     │
│ 4. Check denial management queue mid-day                    │
│                                                             │
│ WHEN AI FLAGS A CLAIM:                                      │
│ • Read the reason code explanation                          │
│ • Accept suggestion OR override with reason                 │
│ • If unsure, mark "Review Later" (don't ignore)             │
│                                                             │
│ ESCALATION:                                                 │
│ • System error → [Champion Name]                            │
│ • Claim stuck >24 hrs → [Champion Name]                     │
│ • Integration issue → Support ticket (link)                 │
│                                                             │
│ SUPPORT: [Support Portal URL] | [Support Phone]             │
└─────────────────────────────────────────────────────────────┘

Front Desk/Office Manager Training

Training Focus: Understanding impact on patient financial conversations, reporting access

Topic	Duration	Format
Eligibility verification at check-in	20 min	Demo + Practice
Patient estimate accuracy improvements	15 min	Overview
Dashboard and location metrics	20 min	Demo
Escalation procedures	10 min	Overview

Total Training Time: 1 hour

Common Resistance Points:

"I don't need another system to check"
- Response: "You'll actually check fewer systems—DentalRobot consolidates eligibility from multiple sources."

Day 1 Cheat Sheet for Front Desk:

┌─────────────────────────────────────────────────────────────┐
│           DENTALROBOT - FRONT DESK QUICK REFERENCE          │
├─────────────────────────────────────────────────────────────┤
│ AT CHECK-IN:                                                │
│ 1. Run eligibility verification (automatically triggered)   │
│ 2. Review any flagged coverage issues                       │
│ 3. Communicate benefit changes to patient                   │
│                                                             │
│ PATIENT QUESTIONS ABOUT ESTIMATES:                          │
│ • "Our new system provides more accurate estimates"         │
│ • "Final amount depends on insurance processing"            │
│                                                             │
│ ISSUES? Contact: [Champion Name] at [extension]             │
└─────────────────────────────────────────────────────────────┘

Hygienist Training

Training Focus: Minimal impact, awareness only

Topic	Duration	Format
Overview of revenue cycle AI (why it matters)	10 min	Huddle
Any clinical workflow changes	5 min	Overview

Total Training Time: 15 minutes (can be covered in morning huddle)

Note: Hygienists typically have no direct interaction with DentalRobot unless clinical coding workflows change.

Provider Training

Training Focus: Understanding documentation impact on claims, leadership buy-in

Topic	Duration	Format
How

AI-generated implementation guide based on public vendor information. Verify specifics directly with DentalRobot.

Implementation Playbook — DSO · Group Practice

DentalRobot

avized.com

Generated May 28, 2026

AI-generated guide based on public vendor information. Verify specifics directly with DentalRobot.

DentalRobot — Implementation Playbook (DSO)

DentalRobot Implementation Playbook for DSOs

Revenue Cycle AI: A Strategic Deployment Guide

1. Executive Summary

What DentalRobot Does

Why DSOs Specifically Benefit from Revenue Cycle AI

Scale Advantages:

A single billing error pattern identified at one location can be corrected across 50 locations simultaneously
Centralized AI training improves accuracy faster—every claim processed makes the model smarter for your entire organization
Volume leverage with payers: aggregated data reveals payer-specific denial patterns invisible at the practice level

Standardization Benefits:

Eliminates billing workflow variance between locations that creates inconsistent collections
Normalizes coding practices, reducing audit risk and improving compliance posture
Creates unified reporting for accurate financial forecasting across the portfolio

Data Aggregation Power:

Cross-location benchmarking identifies underperforming revenue cycle operations instantly
Payer contract negotiation leverage: aggregated denial data proves underpayment patterns
Predictive analytics enable proactive intervention before revenue leakage occurs

Expected Timeline: Decision to Full Deployment

Phase	Duration	Outcome
Pre-Implementation	Weeks 1–2	Infrastructure ready, baselines captured
Pilot Wave (2–3 locations)	Weeks 3–6	Validated workflows, refined training
Wave 2 (5–8 locations)	Weeks 7–10	Scaled deployment, regional champions trained
Wave 3 (Remaining locations)	Weeks 11–16	Full deployment
Optimization	Weeks 17–24	ROI validation, workflow refinement

Total: 16–24 weeks for a 15–50 location DSO, depending on IT infrastructure consistency and change management velocity.

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

Technical Requirements

Hardware

Software

Network

Integrations

Enterprise-Level Requirements

Network Standards Across Locations 🟣

☐ Decision required: Centralized vs. location-level hosting model

Centralized (Recommended): Single tenant instance, all locations connect to central environment
Location-level: Individual instances per location (higher cost, more complexity, rarely justified)

☐ Establish network performance baseline per location using standardized speed test protocol ☐ Create remediation plan for locations below minimum network thresholds

Security & Access

Corporate billing: Full access, all locations
Regional manager: View/report access, regional locations
Location billing staff: Transaction access, own location only
Providers: Limited view access (optional)

Vendor Onboarding Steps

Step	Owner	Timeline	Vendor Required?
Execute enterprise BAA	Legal + Vendor	Day 1–3	🔵
Assign dedicated implementation manager	Vendor	Day 1	🔵
Complete technical discovery call	IT + Vendor	Day 3–5	🔵
Receive integration credentials	Vendor	Day 5–7	🔵
Establish support escalation matrix	Operations + Vendor	Day 5–7	🔵
Schedule executive kickoff call	C-Suite + Vendor	Day 7–10	🔵

Key Contacts to Establish

Data/Access Prerequisites

Internal Stakeholder Alignment

Stakeholder Alignment Map 🟣

Stakeholder	Role in Implementation	Communication Cadence	Approval Authority
Board/Investors	Strategic oversight, budget approval	Monthly summary	Budget, timeline changes
CEO/CFO	Executive sponsor, ROI accountability	Bi-weekly briefing	Go/no-go decisions, scope changes
Chief Dental Officer	Clinical workflow sign-off	Weekly during pilot	Clinical workflow modifications
VP Operations	Implementation owner	Daily during rollout	Rollout sequence, resource allocation
VP Finance/RCM	Revenue metrics accountability	Weekly	Billing workflow changes
Regional Managers	Cascade communication, location oversight	Weekly	Location-specific timing
Office Managers	Local implementation lead	Daily during location go-live	Staff scheduling, local workflow
Billing Staff	End users	Training sessions	N/A
Providers	Informed stakeholders	Summary communication	N/A (unless clinical impact)

Approval Checkpoints 🟣

Baseline Metrics to Capture BEFORE Go-Live ⚠️

Critical: These metrics must be captured identically across all locations to enable valid post-implementation ROI comparison and cross-location benchmarking.

Revenue Cycle Metrics (Per Location + Aggregate)

Metric	Definition	Data Source	Capture Method
Days in A/R	Average days from service to payment	PMS Aging Report	Export monthly snapshot
Clean Claim Rate	% of claims accepted on first submission	Clearinghouse reports	Pull 90-day average
Denial Rate	% of claims denied (by payer, by code)	PMS + Clearinghouse	Pull 90-day average
Denial Appeal Success Rate	% of appealed denials overturned	Manual tracking or PMS	Audit sample
Time to Post Payment	Days from ERA receipt to posting	PMS transaction log	Sample 50 claims
Billing Staff Hours per Claim	FTE hours / claims processed	Time tracking + claim volume	Calculate monthly
Revenue per Provider per Day	Gross production / provider working days	PMS	Export monthly
Collection Rate	Collected / Billed	PMS	Calculate monthly
Claim Rejection Rate	% rejected before adjudication	Clearinghouse	Pull 90-day average
Average Reimbursement per Procedure	By CDT code, by payer	PMS	Export 12-month data

Standardization Protocol for Cross-Location Comparison

3. Location Readiness Assessment

Scoring Framework

Rate each location 1–5 on the following factors. Sum scores to produce a composite readiness score (max 25 points).

Factor 1: IT Infrastructure Maturity (1–5)

Score	Criteria
1	Network under 10 Mbps, legacy hardware (5+ years), PMS version 2+ releases behind
2	Network 10–25 Mbps, some outdated workstations, PMS version 1 release behind
3	Network 25–50 Mbps, standard hardware, current PMS version
4	Network 50–100 Mbps, modern hardware, current PMS with regular updates
5	Network 100+ Mbps, new hardware, PMS on latest version, IT support on-site or rapid response

Factor 2: Staff Tenure and Adaptability (1–5)

Score	Criteria
1	High turnover (30%+ annual), no recent tech training, resistance to change documented
2	Moderate turnover (20–30%), limited tech training history, some resistance
3	Average turnover (10–20%), standard tech comfort, neutral to change
4	Low turnover (<10%), recent tech adoption success, generally positive toward change
5	Stable team, demonstrated tech champions, actively request improvements

Factor 3: Patient Volume (1–5)

Score	Criteria
1	Very low volume (<50 patients/week)—limited impact, not representative
2	Low volume (50–100 patients/week)
3	Moderate volume (100–150 patients/week)—good balance of impact and manageability
4	High volume (150–200 patients/week)—high impact, moderate risk
5	Very high volume (200+ patients/week)—highest impact but highest risk if issues occur

Note: For pilot selection, 3–4 is optimal. A score of 5 should typically wait for Wave 2.

Factor 4: Existing Tech Stack Compatibility (1–5)

Score	Criteria
1	Non-standard PMS, no clearinghouse integration, incompatible imaging system
2	Standard PMS but outdated version, manual clearinghouse process
3	Standard PMS (current version), standard clearinghouse, basic integration
4	Standard PMS with API access enabled, electronic ERA, compatible imaging
5	Fully integrated modern stack, HL7/API-ready, all data flows automated

Factor 5: Local Champion Availability (1–5)

Score	Criteria
1	No tech-forward staff, office manager disengaged or resistant
2	Office manager willing but overwhelmed, no backup champion
3	Office manager supportive, one additional staff member shows tech interest
4	Office manager engaged, billing lead tech-forward, clear champion identified
5	Office manager is a tech champion, provider actively supports, multiple staff ready to lead

Readiness Assessment Scorecard Template

Location	IT Infrastructure	Staff Adaptability	Patient Volume	Tech Compatibility	Local Champion	Total Score
Location A	4	4	3	4	5	20
Location B	3	3	4	3	4	17
Location C	2	2	5	3	2	14
Location D	5	4	3	5	4	21
...	...	...	...	...	...	...

Rollout Sequence Recommendation Based on Scores

Score Range	Rollout Wave	Rationale
19–25	Wave 1 (Pilot)	High readiness, manageable risk, likely to succeed
14–18	Wave 2	Moderate readiness, benefits from pilot learnings
9–13	Wave 3	Requires remediation or extra support, deploy after process mature
Below 9	Remediation Required	Address infrastructure or staffing gaps before deployment

Additional Pilot Selection Criteria 🟣

4. Rollout Strategy

Wave Structure Recommendation

Recommended Approach: 3-Wave Deployment

Wave	Locations	Duration	Objective
Wave 1: Pilot	2–3 locations	Weeks 3–6 (4 weeks)	Validate integration, refine training, capture lessons
Wave 2: Expansion	5–8 locations	Weeks 7–10 (4 weeks)	Scale learnings, stress-test support model
Wave 3: Full Deployment	Remaining locations	Weeks 11–16 (6 weeks)	Complete rollout, address edge cases
Optimization	All locations	Weeks 17–24	ROI validation, workflow maturation

Wave 1: Pilot Selection Criteria 🟣

Select 2–3 locations that score 19+ on readiness assessment AND meet these additional criteria:

Timeline Per Wave

Wave 1: Pilot (Weeks 3–6)

Week	Activities
Week 3	Integration activation, test claim processing, champion training 🔵
Week 4	Go-live, daily check-ins, real-time troubleshooting
Week 5	Parallel workflow (old + new), first-week metrics review
Week 6	Pilot retrospective, lessons learned documentation, go/no-go decision

Wave 2: Expansion (Weeks 7–10)

Week	Activities
Week 7	Integration activation for Wave 2 locations 🔵, train-the-trainer sessions
Week 8	Staggered go-live (2–3 locations per day), distributed support
Week 9	Parallel workflow, metrics collection
Week 10	Wave 2 retrospective, go/no-go for Wave 3

Wave 3: Full Deployment (Weeks 11–16)

Week	Activities
Weeks 11–12	Integration activation for remaining locations 🔵
Weeks 13–14	Staggered go-live (3–5 locations per day)
Weeks 15–16	Full deployment complete, transition to optimization phase

Go/No-Go Criteria 🟣

Advance to Next Wave If:

Pause/Delay If: ⚠️

Rollback Plan ⚠️

If a Wave Fails:

Immediate Actions (Within 24 Hours)

Pause new location deployments
Notify vendor implementation manager of issues 🔵
Convene emergency triage call: VP Ops + IT + Vendor + Affected regional manager

Assessment Period (24–72 Hours)

Classify failure severity:
- Severity 1: Revenue-impacting, all claims affected → Full rollback
- Severity 2: Partial functionality, workarounds available → Targeted rollback
- Severity 3: Minor issues, manual intervention resolves → Continue with mitigation
Document root cause
Create remediation timeline with vendor 🔵

Rollback Execution (If Required)

Disable DentalRobot integration at affected locations
Revert to previous clearinghouse direct submission workflow
Assign temporary additional billing staff to handle backlog
Communicate to locations: specific timeline for resolution and re-deployment
Do not impact other waves unless root cause is systemic

Recovery

Remediation validated in test environment 🔵
Re-pilot at single affected location
Confirm success before resuming wave deployment
Add lessons learned to implementation playbook

5. Configuration & Integration (Weeks 2–3)

Practice Management System Integration

Dentrix Integration 🔵

Integration Steps:

☐ Generate API token from Dentrix Enterprise admin panel
☐ Provide token to DentalRobot implementation team 🔵
☐ Configure data sync scope (patient demographics, procedures, claims)
☐ Enable real-time claim status webhook
☐ Test connection with sample patient record ⚠️
☐ Verify bi-directional data flow (procedure → claim → payment posting)
☐ Configure ERA auto-posting rules based on your existing reconciliation workflow

Estimated Time: 2–4 hours per location (1 hour if enterprise-wide API)

Eaglesoft Integration 🔵

Prerequisites: ☐ Eaglesoft 21 or later ☐ Patterson Cloud Integration enabled ☐ Admin credentials for Patterson Technology Center

Integration Steps:

☐ Enable Patterson API access through Technology Center
☐ Authorize DentalRobot application within Patterson ecosystem 🔵
☐ Map procedure codes and fee schedules
☐ Configure claim routing rules
☐ Test with single claim submission ⚠️
☐ Validate ERA posting accuracy with test remittance

Estimated Time: 3–5 hours per location

Open Dental Integration 🔵

Prerequisites: ☐ Open Dental 22.1 or later ☐ API module enabled (may require additional license) ☐ MySQL database access for historical data pull

Integration Steps:

☐ Generate Open Dental API key from Program Links
☐ Configure DentalRobot with API endpoint 🔵
☐ Enable claim bridge functionality
☐ Map insurance plan database fields
☐ Test eligibility verification flow ⚠️
☐ Configure statement and patient balance sync

Estimated Time: 2–3 hours per location (Open Dental typically fastest integration)

Clearinghouse Integration 🔵

Common Clearinghouses:

Tesia/Vyne Dental
DentalXChange
NEA
Availity

Standard Integration Steps:

☐ Provide clearinghouse SFTP or API credentials to DentalRobot 🔵
☐ Configure payer routing rules
☐ Enable ERA retrieval and matching
☐ Test single claim end-to-end through clearinghouse ⚠️
☐ Verify rejection/denial notification flow
☐ Configure automated status update frequency

Estimated Time: 1–2 hours (typically single enterprise-wide configuration)

Test Environment Setup and Validation

Centralized Test Environment (Recommended for DSO) 🟣

☐ Decision: Establish single sandbox environment for all locations

Advantage: Consistent testing, faster issue identification, lower vendor effort 🔵
Approach: Clone 2–3 representative location datasets into test environment

Validation Checklist

Historical Data Migration 🔵

Estimated Time: 1–2 weeks for data preparation; vendor handles ingestion 🔵

Security and HIPAA Compliance Verification

Enterprise HIPAA Checklist 🟣

Operational: ☐ Vendor security questionnaire completed 🔵 ☐ Incident response plan documented ☐ Annual security review cadence established with vendor 🔵

Standardized vs. Location-Specific Configuration

Standardize Centrally (Enterprise Template)

Allow Location-Specific Configuration

6. Team Training Plan

Train-the-Trainer Model

Champion Selection Criteria

Champion Responsibilities

Complete champion certification training (4 hours) 🔵
Train all location staff before go-live
Serve as first-line support for staff questions
Attend weekly champion check-in calls during rollout period
Document location-specific FAQs and workflow adaptations
Report issues through proper escalation channels
Train new hires within 30 days of start date

Champion Training Curriculum 🔵

Module	Duration	Format	Content
Platform Overview	1 hour	Video + Live Demo	Full system walkthrough, navigation, core features
Integration & Workflow	1 hour	Live Demo	PMS integration, claim submission, ERA posting
Troubleshooting	1 hour	Scenario-Based	Common issues, when to escalate, support resources
Training Delivery	1 hour	Workshop	How to train others, presentation tips, managing resistance

Role-Specific Training (Delivered by Champions)

Billing/Insurance Staff Training ⚠️

Training Focus: This is your primary user group—training quality here directly impacts ROI.

Topic	Duration	Format
Claim submission workflow	45 min	Hands-on
Pre-submission scrubbing review	30 min	Demo + Practice
Denial management queue	45 min	Hands-on
Appeal workflow	30 min	Demo + Practice
ERA posting and reconciliation	45 min	Hands-on
Eligibility verification	20 min	Demo
Reporting and metrics	20 min	Demo

Total Training Time: 4 hours (recommend split across 2 sessions)

Common Resistance Points:

"I already know how to work denials efficiently"
- Response: "DentalRobot identifies patterns you can't see manually—let's compare your top denial reasons to what the AI flags."
"This will replace my job"
- Response: "This handles the repetitive tasks so you can focus on complex claims, patient follow-up, and higher-value work."
"What if the AI is wrong?"
- Response: "You always have override capability. The AI learns from your corrections."

Day 1 Cheat Sheet for Billing Staff:

┌─────────────────────────────────────────────────────────────┐
│           DENTALROBOT - BILLING STAFF QUICK REFERENCE       │
├─────────────────────────────────────────────────────────────┤
│ DAILY WORKFLOW:                                             │
│ 1. Check "Attention Required" queue first thing             │
│ 2. Review AI-flagged claims before auto-submission          │
│ 3. Process ERA posting queue (aim for same-day posting)     │
│ 4. Check denial management queue mid-day                    │
│                                                             │
│ WHEN AI FLAGS A CLAIM:                                      │
│ • Read the reason code explanation                          │
│ • Accept suggestion OR override with reason                 │
│ • If unsure, mark "Review Later" (don't ignore)             │
│                                                             │
│ ESCALATION:                                                 │
│ • System error → [Champion Name]                            │
│ • Claim stuck >24 hrs → [Champion Name]                     │
│ • Integration issue → Support ticket (link)                 │
│                                                             │
│ SUPPORT: [Support Portal URL] | [Support Phone]             │
└─────────────────────────────────────────────────────────────┘

Front Desk/Office Manager Training

Training Focus: Understanding impact on patient financial conversations, reporting access

Topic	Duration	Format
Eligibility verification at check-in	20 min	Demo + Practice
Patient estimate accuracy improvements	15 min	Overview
Dashboard and location metrics	20 min	Demo
Escalation procedures	10 min	Overview

Total Training Time: 1 hour

Common Resistance Points:

"I don't need another system to check"
- Response: "You'll actually check fewer systems—DentalRobot consolidates eligibility from multiple sources."

Day 1 Cheat Sheet for Front Desk:

┌─────────────────────────────────────────────────────────────┐
│           DENTALROBOT - FRONT DESK QUICK REFERENCE          │
├─────────────────────────────────────────────────────────────┤
│ AT CHECK-IN:                                                │
│ 1. Run eligibility verification (automatically triggered)   │
│ 2. Review any flagged coverage issues                       │
│ 3. Communicate benefit changes to patient                   │
│                                                             │
│ PATIENT QUESTIONS ABOUT ESTIMATES:                          │
│ • "Our new system provides more accurate estimates"         │
│ • "Final amount depends on insurance processing"            │
│                                                             │
│ ISSUES? Contact: [Champion Name] at [extension]             │
└─────────────────────────────────────────────────────────────┘

Hygienist Training

Training Focus: Minimal impact, awareness only

Topic	Duration	Format
Overview of revenue cycle AI (why it matters)	10 min	Huddle
Any clinical workflow changes	5 min	Overview

Total Training Time: 15 minutes (can be covered in morning huddle)

Note: Hygienists typically have no direct interaction with DentalRobot unless clinical coding workflows change.

Provider Training

Training Focus: Understanding documentation impact on claims, leadership buy-in

Topic	Duration	Format
How