Lighthouse 360
Step-by-step implementation guide β pre-implementation checklist, onboarding, staff training, go-live runbook, and ROI tracking.
Lighthouse 360 β Implementation Playbook (DSO)
Lighthouse 360 Implementation Playbook for DSOs
A Strategic Guide to Deploying AI-Powered Patient Communication at Scale
1. Executive Summary
What Lighthouse 360 Does
Lighthouse 360 is an automated patient communication platform that centralizes appointment reminders, recall management, online scheduling, reputation management, and two-way texting into a unified system that integrates directly with your practice management software. The platform uses intelligent automation to reduce no-shows, fill schedules, reactivate dormant patients, and generate online reviewsβall with minimal staff intervention.
Why DSOs Benefit from AI-Powered Patient Communication at Scale
Patient communication represents one of the highest-leverage opportunities for DSO standardization and efficiency gains:
Scale Advantages: Automating communications across 15β50 locations eliminates thousands of manual phone calls daily, freeing front desk staff for higher-value patient interactions. A single automated recall campaign can reach tens of thousands of patients simultaneously.
Standardization: Consistent messaging across all locations protects brand integrity, ensures compliance with communication regulations, and creates predictable patient experiences regardless of which location they visit.
Data Aggregation: Centralized reporting reveals system-wide patternsβwhich locations have the highest no-show rates, which recall messages perform best, where online reputation needs attention. This intelligence enables data-driven operational decisions impossible with fragmented, location-by-location communication approaches.
Labor Arbitrage: Patient communication automation directly reduces the FTE burden on front desk staff, a critical advantage given persistent staffing challenges in dental operations.
Expected Timeline: Decision to Full Deployment
| DSO Size | Pilot Phase | Full Deployment | Total Timeline |
|---|---|---|---|
| 15β25 locations | 4β6 weeks | 8β12 weeks | 12β18 weeks |
| 26β40 locations | 4β6 weeks | 12β16 weeks | 16β22 weeks |
| 41β50 locations | 6β8 weeks | 16β20 weeks | 22β28 weeks |
Timeline assumes adequate IT resources, reasonable PMS version consistency, and executive sponsorship. Add 4β6 weeks if significant PMS upgrades are required.
2. Pre-Implementation Checklist (Weeks 1β2)
Technical Requirements
Hardware Requirements (Per Location)
β Workstation(s) running Windows 10/11 or macOS 10.14+ (Chrome browser required) β Minimum 4GB RAM, 2GHz processor on primary workstation accessing the platform β Dedicated tablet or monitor for real-time dashboard display (recommended, not required)
Network Requirements
β Minimum 25 Mbps download / 10 Mbps upload per location β οΈ Common failure point: Locations with older DSL connections may experience sync delays β Static IP address or reliable DHCP with port forwarding capability β Firewall configured to allow outbound HTTPS traffic to Lighthouse 360 servers β Wi-Fi stability for any mobile/tablet access points
Software Requirements
β Practice Management System compatibility verified:
- Dentrix (G5.1 or higher) β
- Eaglesoft (17.0 or higher) β
- Open Dental (version 19.1 or higher) β
- Dentrix Enterprise β
- Dentrix Ascend β
- Other PMS systemsβverify with vendor β PMS version audit completed across all locations β Chrome browser (latest version) installed on all workstations β Local admin access available for initial software installation
Integration Requirements
β PMS database access credentials available β Server/workstation hosting PMS identified (for on-premise PMS) β API access enabled (for cloud-based PMS) β Third-party integration inventory completed (payment processors, imaging systems, etc.)
Vendor Onboarding Steps
| Step | Action | Timeline | Owner |
|---|---|---|---|
| 1 | π΅ Execute Master Services Agreement (MSA) | Day 1β3 | Legal/Procurement |
| 2 | π΅ Complete Business Associate Agreement (BAA) | Day 1β3 | Compliance |
| 3 | π΅ Submit location roster with addresses, PMS versions, practice IDs | Day 3β5 | Operations |
| 4 | π΅ Receive dedicated Customer Success Manager (CSM) assignment | Day 5β7 | Vendor |
| 5 | π΅ Schedule kickoff call with CSM and technical implementation team | Day 7β10 | CSM/Operations |
| 6 | π΅ Receive enterprise admin credentials and access provisioning | Day 7β10 | Vendor IT |
| 7 | π΅ Establish escalation contacts (Tier 1, Tier 2, Tier 3 support) | Day 10β14 | CSM |
Key Contacts to Establish
β Customer Success Manager (CSM): Primary strategic contact for rollout planning β Technical Implementation Specialist: Handles integrations and technical troubleshooting β Enterprise Support Line: Direct escalation path bypassing standard support queue β Account Executive: Commercial issues, contract modifications, expansion discussions β Training Coordinator: Schedules and delivers training sessions
Data/Access Prerequisites
Practice Management System Access
β Admin-level PMS credentials for each location (for initial sync) β Service account created for Lighthouse 360 ongoing sync (do not use individual user accounts) β οΈ β Patient data export permissions enabled β Appointment schedule read/write access confirmed
Communication Channel Setup
β Phone numbers for SMS/text messaging (existing or new numbers)
- Decision required: Port existing numbers vs. provision new numbers π£ β Email domain/sender addresses determined β Email authentication (SPF, DKIM, DMARC) configured for sending domain β οΈ Common failure point: Emails going to spam due to missing authentication
Historical Data Access
β Patient recall history (minimum 24 months recommended) β Appointment history for no-show pattern analysis β Patient communication preferences (opt-outs, preferred contact methods)
Enterprise-Level Requirements
Network Standards Across Locations
β Document minimum network requirements in IT standards policy β Identify locations requiring network upgrades before deployment β Establish VPN requirements if centralized administration is preferred β Define firewall rule templates for consistent security posture
Hosting Architecture Decision π£
| Option | Pros | Cons | Recommended For |
|---|---|---|---|
| Centralized Hosting (single enterprise instance) | Unified reporting, simplified administration, consistent configurations | Requires robust network connectivity at all locations | DSOs with strong IT infrastructure and standardized operations |
| Location-Level Hosting (separate instances per location) | Location autonomy, isolated issues don't cascade | Fragmented reporting, inconsistent configurations, higher admin overhead | DSOs with highly autonomous locations or varied PMS environments |
| Hybrid (centralized admin, location-level execution) | Balances control with flexibility | Moderate complexity | Most DSOs with 15β50 locations |
Lighthouse 360 supports enterprise multi-location architectureβconfirm specific setup options with your CSM.
Single Sign-On (SSO) Requirements
β Determine SSO integration requirement (SAML 2.0, OAuth) β Coordinate with Identity Provider (Okta, Azure AD, Google Workspace) β π΅ Submit SSO configuration request to Lighthouse 360 (enterprise feature) β Test SSO authentication before location rollouts
Centralized Credentialing
β Define role-based access control (RBAC) structure:
- Enterprise Admin (full access, all locations)
- Regional Manager (read/write for assigned region)
- Location Manager (read/write for single location)
- Staff User (limited access per role) β Create user provisioning workflow for new hires β Establish offboarding process for access revocation
Internal Stakeholder Alignment
Stakeholder Alignment Map
| Stakeholder Level | Who | Role in Implementation | Communication Cadence | Required Action |
|---|---|---|---|---|
| Board/Investors | Board members, PE partners | Approve budget, receive progress updates | Monthly summary | π£ Budget approval, strategic alignment |
| C-Suite | CEO, COO, CFO, CDO | Executive sponsorship, resource allocation, go/no-go decisions | Bi-weekly briefing | π£ Executive sponsor designation, cross-functional coordination |
| VP of Operations | VP Ops, Director of Operations | Primary accountable owner, rollout oversight | Weekly working session | Day-to-day decision authority, escalation resolution |
| Chief Dental Officer | CDO, Clinical Director | Clinical workflow approval, provider communication | Bi-weekly alignment | Clinical workflow sign-off, provider messaging |
| Regional Managers | Regional Directors, Area Managers | Wave execution, location coordination | Weekly during active wave | Champion selection, local issue resolution |
| IT/Technology | IT Director, Systems Admin | Technical implementation, integrations, security | Daily during implementation | Infrastructure readiness, troubleshooting |
| Compliance/Legal | Compliance Officer, Legal Counsel | HIPAA verification, BAA execution, communication compliance | As needed | BAA approval, TCPA compliance review |
| Location Office Managers | Practice Managers | Day-to-day execution, staff coordination | Daily during go-live week | Staff training completion, workflow adoption |
| Providers | Dentists, Hygienists | Workflow adoption, patient communication buy-in | Pre-launch briefing, weekly feedback during rollout | Feature feedback, workflow input |
| Front Desk Staff | Receptionists, Schedulers | Primary daily users | Training sessions, daily check-ins during go-live | Hands-on adoption, real-time feedback |
Baseline Metrics to Capture BEFORE Go-Live
Why Baseline Metrics Matter
Without pre-implementation baselines, ROI measurement becomes guesswork. Capture these metrics for every location during Weeks 1β2, before any system changes.
Required Baseline Metrics
| Metric Category | Specific Metric | How to Measure | Capture Period |
|---|---|---|---|
| Appointment Efficiency | No-show rate | (No-shows / Total scheduled) Γ 100 | Trailing 90 days |
| Same-day cancellation rate | (Same-day cancellations / Total scheduled) Γ 100 | Trailing 90 days | |
| Average schedule fill rate | (Filled appointments / Available slots) Γ 100 | Trailing 90 days | |
| Recall Performance | Recall completion rate | (Patients returning for recall / Patients due for recall) Γ 100 | Trailing 12 months |
| Average days overdue for recall | Mean days past due date for overdue patients | Current snapshot | |
| Reactivation rate (patients >18 months) | (Reactivated patients / Dormant patient pool) Γ 100 | Trailing 12 months | |
| Staff Efficiency | Outbound calls per day (confirmation/recall) | Manual count or phone system report | 1-week sample |
| Time spent on manual reminders | Staff time study estimate | 1-week sample | |
| Front desk FTE hours on communication tasks | Estimated % of FTE Γ hours | Current estimate | |
| Patient Experience | Online review volume | Reviews posted per month | Trailing 6 months |
| Average star rating (Google, Facebook) | Current aggregate rating | Current snapshot | |
| Patient response rate to communications | (Responses / Outbound messages) Γ 100 | If trackable | |
| Financial Impact | Revenue lost to no-shows | No-show rate Γ average appointment revenue | Trailing 90 days |
| Production per day/provider | Total production / Provider days worked | Trailing 90 days |
Standardizing Baseline Measurement Across Locations β οΈ
Common failure point: Locations measure metrics differently, making cross-location comparison meaningless.
β Create standardized metric definitions document distributed to all locations β Use PMS reports (not manual estimates) wherever possible β Designate one person per location responsible for baseline data capture β Establish central data collection spreadsheet or form β Set firm deadline for baseline submission (end of Week 2) β QA baseline data for completeness and accuracy before proceeding
Baseline Data Collection Template
| Location | Office Manager | Baseline Data Submitted | Data Verified | Issues/Notes |
|---|---|---|---|---|
| Location 1 | β Yes β No | β Yes β No | ||
| Location 2 | β Yes β No | β Yes β No | ||
| ... |
3. Location Readiness Assessment
Readiness Scoring Framework
Score each location on the following five factors using a 1β5 scale. This produces a composite readiness score (5β25) that informs rollout sequencing.
Factor 1: IT Infrastructure Maturity
| Score | Network Speed | Hardware Age | PMS Version | Description |
|---|---|---|---|---|
| 5 | 100+ Mbps | < 2 years | Latest version | Excellent infrastructure, no upgrades needed |
| 4 | 50β100 Mbps | 2β3 years | Current -1 version | Good infrastructure, minor updates may help |
| 3 | 25β50 Mbps | 3β4 years | Current -2 versions | Adequate, may experience occasional issues |
| 2 | 10β25 Mbps | 4β5 years | Current -3 versions | Problematic, upgrades recommended before rollout |
| 1 | < 10 Mbps | > 5 years | Significantly outdated | Critical upgrades required before rollout |
Factor 2: Staff Tenure and Adaptability
| Score | Avg Tenure | Annual Turnover | Tech Comfort | Training History | Description |
|---|---|---|---|---|---|
| 5 | > 3 years | < 15% | High | Multiple successful tech adoptions | Stable, tech-savvy team |
| 4 | 2β3 years | 15β25% | Moderate-High | 1β2 successful tech adoptions | Solid team, good adaptability |
| 3 | 1β2 years | 25β35% | Moderate | Mixed tech adoption history | Average stability and adaptability |
| 2 | 6β12 months | 35β50% | Low-Moderate | Struggled with past tech changes | Higher change management needs |
| 1 | < 6 months | > 50% | Low | No recent tech adoptions or failures | Significant change management risk |
Factor 3: Patient Volume
| Score | Daily Patient Volume | Characteristic | Implication |
|---|---|---|---|
| 5 | 40β60 patients/day | High-volume, mature practice | High impact, high ROI potential, higher rollout risk |
| 4 | 30β40 patients/day | Strong volume | Good impact, moderate risk |
| 3 | 20β30 patients/day | Moderate volume | Balanced impact and risk |
| 2 | 10β20 patients/day | Lower volume | Lower immediate impact, lower rollout risk |
| 1 | < 10 patients/day | Low volume / new location | Minimal impact, good for low-risk testing |
Note: High-volume locations (5) offer the greatest impact but also the greatest risk if rollout fails. For Wave 1, consider moderate-volume locations (3β4) to balance learning with manageable risk.
Factor 4: Existing Tech Stack Compatibility
| Score | PMS Compatibility | Imaging Integration | Other Systems | Description |
|---|---|---|---|---|
| 5 | Fully compatible, current version | None or fully compatible | Clean tech stack, few integrations | Seamless integration expected |
| 4 | Compatible, minor update needed | Compatible | 1β2 integrations, all compatible | Minor preparation needed |
| 3 | Compatible with workarounds | Potential conflicts | Multiple integrations, mostly compatible | Some technical work required |
| 2 | Major version upgrade required | Known conflicts | Complex tech stack | Significant preparation required |
| 1 | Incompatible PMS | Incompatible | Heavy legacy systems | Major overhaul needed before rollout |
Factor 5: Local Champion Availability
| Score | Champion Profile | Availability | Description |
|---|---|---|---|
| 5 | Tech-forward provider or manager, enthusiastic about the tool | Dedicated time allocated | Ideal champion in place |
| 4 | Capable manager, positive about technology | Available with some schedule adjustment | Strong champion potential |
| 3 | Competent manager, neutral on technology | Limited availability | Adequate champion with support |
| 2 | Manager willing but lacks tech confidence | Minimal availability | Champion will need significant support |
| 1 | No willing candidate identified | No availability | Champion must be developed or assigned |
Composite Readiness Score Calculation
Scoring Worksheet (Per Location)
| Location Name: | Score (1β5) | Weight | Weighted Score |
|---|---|---|---|
| IT Infrastructure Maturity | 1.0 | ||
| Staff Tenure and Adaptability | 1.5 | ||
| Patient Volume | 0.75 | ||
| Tech Stack Compatibility | 1.25 | ||
| Local Champion Availability | 1.5 | ||
| Total Composite Score | /30 |
Weighting rationale: Staff and champion factors weighted higher because people drive adoption success more than technology.
Readiness Tiers
| Composite Score | Tier | Rollout Recommendation |
|---|---|---|
| 24β30 | Tier 1: High Readiness | Wave 1 pilot candidate |
| 18β23 | Tier 2: Moderate Readiness | Wave 2 candidate |
| 12β17 | Tier 3: Low Readiness | Wave 3 candidate, address gaps first |
| < 12 | Tier 4: Not Ready | Delay until remediation complete |
Rollout Sequence Recommendations
Selecting Wave 1 Pilot Locations
Choose 2β3 locations that meet ALL of the following criteria:
β Composite score 22β27 (high readiness but not your absolute best location)
- Rationale: You want locations likely to succeed but not so perfect that lessons don't transfer to typical locations
β Moderate patient volume (Score 3β4, not 5)
- Rationale: Manageable risk while still generating meaningful data
β Strong local champion identified (Score 4β5)
- Rationale: Champion engagement is the #1 predictor of successful adoption
β Representative of portfolio diversity
- Include at least one location with your most common PMS
- Include at least one location representing typical (not exceptional) staff dynamics
- Avoid locations that are outliers in any dimension
β Geographic proximity to central team or regional manager (if possible)
- Rationale: Easier hands-on support during critical pilot phase
Sample Rollout Sequence
| Wave | Locations | Selection Rationale | Timeline |
|---|---|---|---|
| Wave 1 (Pilot) | 2β3 locations | High readiness, moderate volume, strong champions, representative | Weeks 3β6 |
| Wave 2 (Early Majority) | 5β8 locations | Moderate-high readiness, apply learnings from Wave 1 | Weeks 7β12 |
| Wave 3 (Remaining) | 8β15 locations | Addressed gaps from Wave 1β2, standardized deployment | Weeks 13β20 |
| Wave 4 (Remediation) | Remaining locations | Required infrastructure or staffing issues resolved | Weeks 21+ |
4. Rollout Strategy
Wave Structure Recommendation
Wave 1: Pilot Phase (2β3 Locations)
Duration: 4 weeks Objectives:
- Validate technical integration in real-world conditions
- Identify workflow gaps and training improvements
- Capture lessons for Wave 2 refinement
- Build internal success stories and champions
Timeline:
| Week | Activities |
|---|---|
| Week 1 | π΅ Vendor technical setup, integration testing, staff training |
| Week 2 | Go-live, intensive support, daily check-ins |
| Week 3 | Stabilization, workflow refinement, issue resolution |
| Week 4 | Lessons learned documentation, metrics review, Wave 2 preparation |
Wave 2: Early Majority (5β8 Locations)
Duration: 4β6 weeks Objectives:
- Scale validated playbook to larger group
- Test train-the-trainer model
- Refine centralized support processes
- Build organizational momentum
Timeline:
| Week | Activities |
|---|---|
| Week 1 | Technical setup (batch processing multiple locations), champion training |
| Week 2 | Staff training (champion-led), final testing |
| Week 3 | Staggered go-lives (2β3 locations per day) |
| Week 4β5 | Stabilization, support, refinement |
| Week 6 | Lessons learned, metrics review, Wave 3 preparation |
Wave 3: Remaining Locations (8β15+ Locations)
Duration: 6β8 weeks Objectives:
- Execute standardized, efficient deployment
- Minimize per-location effort through playbook maturity
- Achieve enterprise-wide adoption
Timeline:
| Week | Activities |
|---|---|
| Week 1β2 | Batch technical setup, champion training |
| Week 3β4 | Staggered go-lives (3β5 locations per day) |
| Week 5β6 | Stabilization, support |
| Week 7β8 | Full deployment verification, optimization handoff |
Go/No-Go Criteria Between Waves π£
Executive decision required to advance from one wave to the next.
Wave 1 β Wave 2 Go/No-Go Checklist
| Criteria | Threshold | Actual | Status |
|---|---|---|---|
| Technical integration stable | No critical integration failures for 7 consecutive days | β Go β No-Go | |
| Staff adoption rate | > 80% of trained staff using system daily | β Go β No-Go | |
| Patient communication delivery rate | > 95% messages delivered successfully | β Go β No-Go | |
| No-show rate trending | Stable or improved vs. baseline | β Go β No-Go | |
| Critical issues outstanding | Zero unresolved critical (Sev 1) issues | β Go β No-Go | |
| Champion feedback | Positive/neutral; no major workflow concerns | β Go β No-Go | |
| Training materials validated | Updated based on pilot learnings | β Go β No-Go |
Decision: All criteria must be "Go" to advance. If any are "No-Go," extend pilot by 1β2 weeks and remediate.
Wave 2 β Wave 3 Go/No-Go Checklist
| Criteria | Threshold | Actual | Status |
|---|---|---|---|
| Wave 2 locations stable | > 90% of locations operating without daily support | β Go β No-Go | |
| Train-the-trainer model validated | Champions able to independently train staff | β Go β No-Go | |
| Support capacity | Central team can support additional wave volume | β Go β No-Go | |
| No-show rate improvement | Measurable improvement in > 50% of Wave 2 locations | β Go β No-Go | |
| Critical issues outstanding | Zero unresolved critical issues from Wave 2 | β Go β No-Go |
Rollback Plan β οΈ
Rollback Triggers
- Critical system failure affecting patient care or communication
- PMS integration failure causing data corruption or sync failures
- HIPAA/compliance violation discovered
- Staff unable to operate basic functions after reasonable support period
- Patient complaints exceeding acceptable threshold (define: e.g., >5% of patients contacted)
Rollback Procedure (Per Location)
| Step | Action | Timeline | Owner |
|---|---|---|---|
| 1 | Document the issue triggering rollback decision | Immediately | Location Champion |
| 2 | Notify central team and vendor | Within 1 hour | Location Champion |
| 3 | π΅ Disable automated communications (pause, don't delete) | Within 2 hours | Vendor Support |
| 4 | Revert to manual communication workflows | Same day | Office Manager |
| 5 | Communicate to staff: rollback is temporary, not failure | Same day | Regional Manager |
| 6 | Root cause analysis | Within 48 hours | Central Team + Vendor |
| 7 | Remediation plan with timeline | Within 1 week | Central Team + Vendor |
| 8 | Re-deployment when remediation verified | TBD | Central Team |
Isolation Protocol
- Rollback at one location does NOT affect other locations
- Wave progression pauses only if rollback issue is systemic (affecting multiple locations)
- Individual location rollback allows continued progress at other locations
5. Configuration & Integration (Weeks 2β3)
Step-by-Step PMS Integration
Dentrix Integration
| Step | Action | Time Estimate | Owner |
|---|---|---|---|
| 1 | Verify Dentrix version (G5.1+ required) | 5 min | Location IT |
| 2 | Identify Dentrix server location (workstation hosting database) | 10 min | Location IT |
| 3 | π΅ Download Lighthouse 360 connector from vendor portal | 5 min | Vendor |
| 4 | Install connector on Dentrix server workstation | 15 min | Location IT |
| 5 | Enter Dentrix database path in connector configuration | 5 min | Location IT |
| 6 | π΅ Enter Lighthouse 360 credentials and sync settings | 10 min | Vendor Support |
| 7 | β οΈ Run initial sync (may take 30β60 min for large patient databases) | 30β60 min | Automated |
| 8 | Verify patient data sync accuracy (spot check 10 patients) | 15 min | Office Manager |
| 9 | Test appointment sync (create test appointment, verify appears in Lighthouse) | 10 min | Office Manager |
| 10 | Configure sync frequency (recommended: every 5 minutes) | 5 min | Location IT |
Eaglesoft Integration
| Step | Action | Time Estimate | Owner |
|---|---|---|---|
| 1 | Verify Eaglesoft version (17.0+ required) | 5 min | Location IT |
| 2 | Identify Eaglesoft server/database location | 10 min | Location IT |
| 3 | π΅ Request Eaglesoft API credentials from Patterson | 1β3 days | Vendor/Patterson |
| 4 | π΅ Download Lighthouse 360 connector | 5 min | Vendor |
| 5 | Install connector on Eaglesoft server | 15 min | Location IT |
| 6 | β οΈ Configure API connection (common failure point: firewall blocking) | 20 min | Location IT |
| 7 | Run initial sync | 30β60 min | Automated |
| 8 | Verify data accuracy | 15 min | Office Manager |
| 9 | Test bidirectional sync (appointment changes in PMS reflect in Lighthouse) | 10 min | Office Manager |
Open Dental Integration
| Step | Action | Time Estimate | Owner |
|---|---|---|---|
| 1 | Verify Open Dental version (19.1+ required) | 5 min | Location IT |
| 2 | Enable Open Dental API (Setup > Miscellaneous > API) | 5 min | Location IT |
| 3 | π΅ Generate API key for Lighthouse 360 | 10 min | Vendor Support |
| 4 | π΅ Enter API key in Lighthouse 360 configuration | 5 min | Vendor Support |
| 5 | Configure data mapping (provider IDs, operatory IDs, appointment types) | 20 min | Location IT + Vendor |
| 6 | Run initial sync | 15β30 min | Automated |
| 7 | Verify sync accuracy | 15 min | Office Manager |
Communication Channel Setup
SMS/Text Messaging Setup
| Step | Action | Time Estimate | Owner |
|---|---|---|---|
| 1 | π£ Decide: Port existing numbers vs. provision new numbers | Decision | VP Operations |
| 2 | π΅ If porting: Submit number porting request to Lighthouse 360 | 1β5 days | Vendor |
| 3 | π΅ If new numbers: Request number provisioning per location | 1β2 days | Vendor |
| 4 | β οΈ Register for 10DLC (A2P messaging compliance) | 1β4 weeks | Vendor + DSO Compliance |
| 5 | Verify number activation | 5 min | Office Manager |
| 6 | Test inbound and outbound SMS | 10 min | Office Manager |
Note: 10DLC registration is now required by carriers for business text messaging. Plan for 2β4 week approval timeline. β οΈ Failure to register can result in message blocking.
Email Configuration
| Step | Action | Time Estimate | Owner |
|---|---|---|---|
| 1 | Determine sending domain(s) (e.g., notifications@dsoname.com) | 15 min | Marketing/IT |
| 2 | β οΈ Configure SPF record in DNS | 15 min | IT |
| 3 | β οΈ Configure DKIM record in DNS | 15 min | IT |
| 4 | Configure DMARC policy | 10 min | IT |
| 5 | π΅ Verify domain authentication in Lighthouse 360 | 10 min | Vendor Support |
| 6 | Send test emails, verify inbox delivery (not spam) | 15 min | Office Manager |
Test Environment Setup
Recommended Approach: Centralized Test Environment
For DSOs, establish a single centralized test environment rather than per-location testing:
β π΅ Request sandbox/test instance from Lighthouse 360 β Load representative sample data (anonymized or test data) β Test all message types: appointment reminders, recall, review requests, two-way texting β Test integrations with each PMS type in use across locations β Document test cases and expected results β Assign QA owner responsible for test verification
Validation Checklist (Before Location Go-Live)
| Test Case | Expected Result | Verified | Notes |
|---|---|---|---|
| New appointment creates reminder sequence | Reminder sent per configured timing | β | |
| Appointment cancellation stops reminders | No further reminders sent | β | |
| Patient confirms via text | Confirmation reflected in PMS | β | |
| Patient replies with question | Two-way text appears in dashboard | β | |
| Recall due date triggers outreach | Recall message sent | β | |
| Review request sent post-appointment | Patient receives review request | β | |
| Opt-out request processed | Patient removed from communications | β | |
| HIPAA-sensitive data handling | No PHI in |
AI-generated implementation guide based on public vendor information. Verify specifics directly with Lighthouse 360.