Arkos
Implementation PlaybookDSO · Group Practice

Arkos

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

Arkos — Implementation Playbook (DSO)

Strategic Implementation Playbook: Arkos Adoption for DSO Operations

Executive Summary

Arkos is a cloud-based practice management platform that consolidates scheduling, patient communication, and billing into a unified system—three operational pillars that typically run on fragmented tools across DSO locations. For DSOs with 15–50 locations, the value proposition is substantial: standardized workflows reduce administrative overhead, centralized data enables real-time visibility across the portfolio, and unified patient communication scales marketing and patient retention efforts. A typical DSO deployment spans 4–6 months from vendor selection to full rollout, with pilot locations live in weeks 4–8, Wave 2 deployment in months 2–3, and final locations going live by month 4–5, followed by a 1–2 month stabilization period.


Pre-Implementation Checklist

Use this checklist to confirm organizational readiness before go-live planning:

Enterprise Technical Requirements

  • ☐ Verify API connectivity requirements with existing EHR/clinical systems (if separate from PM)
  • ☐ Confirm bandwidth and network stability across all locations (minimum 25 Mbps recommended)
  • ☐ Assess single sign-on (SSO) integration capability with corporate identity provider
  • ☐ Document current practice management system(s) in use and confirm sunset timeline
  • ☐ Identify IT resource availability for deployment support (internal or managed services partner)

Data Prerequisites

  • ☐ Complete audit of patient data quality in current systems (duplicates, invalid contact info, missing insurance)
  • ☐ Establish data migration timeline and responsible party per location
  • ☐ Validate insurance verification accuracy across locations (critical for billing accuracy post-migration)
  • ☐ Confirm historical data retention requirements and plan archive/export strategy
  • ☐ Map custom fields in current system to Arkos equivalents

Stakeholder Alignment

  • ☐ Executive sponsor identified (typically CDO or VP of Operations)
  • ☐ DSO-level project steering committee assembled (Operations, Finance, IT, Clinical)
  • ☐ Location-level champions identified at each pilot location
  • ☐ IT leadership and EHR vendor(s) aligned on integration and support responsibility
  • ☐ Finance and billing leadership sign-off on billing workflow changes

Baseline Metrics Established

  • ☐ Current state of scheduling efficiency (appointment no-shows, overhead time, manual scheduling)
  • ☐ Patient communication response rates (if tracked)
  • ☐ Billing cycle time and Days Sales Outstanding (DSO) by location
  • ☐ Staff utilization and productivity metrics pre-implementation
  • ☐ Technology adoption readiness scores per location documented

Compliance & Legal

  • ☐ Business Associate Agreement (BAA) executed with Arkos and reviewed by legal counsel
  • ☐ HIPAA and state-level privacy compliance assessment completed
  • ☐ Data residency and encryption requirements confirmed with vendor
  • ☐ Patient consent and notification requirements reviewed (if applicable to your jurisdiction)
  • ☐ Audit trail and role-based access control (RBAC) configuration planned

Location Readiness Assessment

Rank all 15–50 locations on a 1–5 scale across five criteria. Total score determines rollout sequence.

Criterion Description Scoring Guidance
IT Infrastructure Network stability, device support, support ticket response 1 = Poor connectivity, no dedicated IT support; 5 = Robust network, dedicated IT personnel
Staff Adaptability Historical technology adoption, turnover rate, digital literacy 1 = High resistance, >40% turnover; 5 = Early adopters, stable team, <15% turnover
Patient Volume Monthly active patients and appointment frequency 1 = <200 patients/mo; 5 = >800 patients/mo (higher volume = more immediate ROI visibility)
Tech Stack Compatibility Current EHR/PM system age and API maturity 1 = Legacy, no API; 5 = Modern cloud-based system with clean API integration
Local Champion Availability Motivated, tech-savvy staff member to lead training and adoption 1 = No identified champion; 5 = Enthusiastic champion with dedicated time allocation

Interpretation:

  • Score 20–25 (Tier 1 – Pilot): Select 2–3 locations for Wave 1. These will become reference sites.
  • Score 15–19 (Tier 2 – Early Wave): Group for Wave 2, typically 4–6 locations.
  • Score 10–14 (Tier 3 – Standard Wave): Group for Wave 3, remaining locations.

This sequencing ensures momentum and allows lessons learned to accelerate later deployments.


Rollout Strategy

Wave Structure

Wave 1: Pilot Deployment (Weeks 1–8)

  • Locations: 2–3 Tier 1 locations (highest readiness score)
  • Selection Criteria: Stable staffing, motivated champions, strong IT support, willingness to document workflows for the broader DSO
  • Activities:
    • Weeks 1–2: On-site kickoff, detailed workflow mapping, staff training
    • Weeks 2–4: Data migration and system configuration
    • Weeks 4–8: Go-live, intensive support, feedback collection
  • Go/No-Go Criteria for Wave 2:
    • ☐ Scheduling module live and staff proficient within 2 weeks of go-live
    • ☐ <5% of appointments require manual reconciliation post-import
    • ☐ Patient communication workflows tested and documented
    • ☐ Billing module processing claims with <2% error rate
    • ☐ Staff satisfaction score ≥3.5/5 on post-training survey
    • ☐ System uptime ≥99.5% measured over 4-week period

Wave 2: Scaled Rollout (Months 2–3)

  • Locations: 4–6 Tier 2 locations
  • Timeline: Staggered by 2–3 weeks per location to manage support load
  • Activities: Adapt Wave 1 training approach based on pilot feedback; implement local process improvements
  • Go/No-Go Criteria for Wave 3:
    • ☐ Wave 2 locations achieving 80% of Wave 1 efficiency metrics within 6 weeks
    • ☐ Training and implementation time reduced 15–20% vs. Wave 1
    • ☐ No critical system issues reported; all patches deployed successfully

Wave 3: Final Deployment (Months 3–5)

  • Locations: Remaining Tier 3 locations (5–10+ depending on DSO size)
  • Timeline: Parallel deployment of 2–3 locations per week, drawing on Wave 1 & 2 staff as peer trainers
  • Activities: Streamlined training, pre-configured workflows, peer-led transition support
  • Post-Deployment: 1–2 month stabilization period with reduced support intensity

Rollback Plan

  • Pre-Go-Live: Maintain read-only access to legacy system for 30 days post-migration
  • Trigger: If >10% of transactions fail in first week OR unrecovered system outages exceed 4 cumulative hours, pause further rollout
  • Recovery Steps: Revert to legacy system for scheduled operations; diagnostic support from Arkos and internal IT; plan remediation before next location launch
  • Communication: Pre-defined message template to patients, staff, and location leadership to minimize confusion

Key Metrics to Track

Track these metrics per location and in aggregate DSO dashboards (updated weekly during deployment, monthly thereafter):

Metric Per-Location Target DSO Aggregate Target Measurement
Appointment Scheduling Time <3 min per appointment (vs. baseline) 20% reduction across portfolio Average staff time to complete scheduling task
Patient Communication Response Rate ≥40% opt-in to SMS; 2-hour avg response time ≥35% DSO-wide % patients receiving/responding to reminders; response latency
Billing Cycle Time (Days to Bill) Reduce by 3–5 days (baseline-dependent) Average reduction of 4 days across DSO Days from appointment to claim submission
Staff Training Adoption Compliance ≥95% staff complete training within 2 weeks ≥90% DSO-wide Training completion logs, assessed by role
System Uptime ≥99.5% ≥99.5% (DSO-wide) Monitored by Arkos SLA dashboard
Patient Data Accuracy (Insurance Verification) ≥95% clean records at go-live ≥93% across DSO % of verified insurance records post-migration
Staff Satisfaction Post-Implementation ≥3.5/5.0 on 30-day survey ≥3.3/5.0 DSO average Pulse survey: ease of use, time savings, support quality
Billing Error Rate <2% of claims require rework <2.5% DSO-wide % claims rejected or requiring correction in first 60 days

Dashboarding: Create a live DSO-wide implementation dashboard visible to leadership and location managers weekly. This drives accountability and enables rapid issue escalation.


Common Pitfalls

1. **Underestimating Data Migration Complexity**

Mistake: Assuming patient data transfers cleanly; discovering duplicates, orphaned records, and corrupted insurance info post-go-live. How to Avoid: Allocate 4–6 weeks pre-implementation for data quality audits. Use Arkos's data migration tools to perform test runs at pilot locations. Assign a data steward role per location responsible for pre-migration validation.

2. **Insufficient Staff Training and Change Management**

Mistake: One-off training sessions without ongoing reinforcement; staff reverting to workarounds within weeks. How to Avoid: Implement a tiered training plan: admin/super-user training (2 days), clinical staff (1 day), support staff (4 hours). Deploy job aids and video tutorials tailored to each role. Assign peer champions for 60 days post-go-live. Hold weekly "office hours" for Q&A.

3. **Poor Integration Planning with EHR**

Mistake: PM and EHR systems running disconnected; manual data entry between systems, creating bottlenecks and error sources. How to Avoid: Map all integration points (appointment data, clinical notes triggers, patient demographics sync) before Wave 1. Test bidirectional sync with your EHR vendor in a non-production environment. Establish clear SLAs for data sync latency (target: <15 min).

4. **Ignoring Billing Workflow Disruptions**

Mistake: Arkos billing module has different claim submission logic; unprepared billing staff causes a 2–3 week backlog of unbilled appointments. How to Avoid: Involve billing leadership early. Run parallel claim submission during Wave 1 for 2–3 weeks (submit via both old and new systems, compare outputs). Document any workflow differences. Conduct dedicated billing staff training 2 weeks pre-go-live.

5. **Inadequate Support Resourcing**

Mistake: Relying on a single internal resource to support 3–4 locations simultaneously; response times slow, frustration builds. How to Avoid: Establish a tiered support model: Tier 1 (location champions), Tier 2 (regional IT/Operations), Tier 3 (Arkos vendor support). Assign 1 FTE per 4–5 locations for the first 60 days post-go-live. Use a ticketing system (e.g., Jira) to track issues and resolution times.

6. **Treating Rollout as a One-Time Project, Not an Ongoing Optimization**

Mistake: Declaring "full deployment done" and moving on; missing process improvements and features that drive ROI. How to Avoid: Establish a post-implementation review cadence (monthly for first 6 months, quarterly thereafter). Measure against baseline metrics continuously. Allocate a product owner role to evaluate new Arkos features quarterly and prioritize adoptions that align with DSO strategy.


Cost/ROI Framework

Cost Model

Enterprise Licensing:

  • Base Model: Per-location or per-provider pricing (clarify with Arkos Sales)
  • Typical Range: $800–1,500/location/month for mid-sized DSO (15–50 locations)
  • All-In Estimate: Budget $15,000–25,000/location for implementation (includes data migration, training, integration setup, 30-day support boost)
    • Larger DSOs (40+ locations) typically negotiate 10–15% volume discount

Internal Costs:

  • Project management & change management: 0.5–1 FTE for 6 months = $30–50K
  • IT infrastructure/integration setup: $10–20K
  • Staff training time (per location): 20–30 hours at burdened labor cost = $1,500–2,500/location
  • Go-live support surge (2 months): 1 FTE = $15–25K

Total DSO-Level Investment (15–50 locations):

  • Low end: $250–400K (15 locations)
  • High end: $500–800K (50 locations, inclusive of all costs)

ROI Measurement & Timeline

Key ROI Drivers (Track Per Location & In Aggregate):

  1. Scheduling Efficiency: 10–15% reduction in scheduling staff time = $8–12K/location/year
  2. Patient Communication: Improved show rates (reduce no-shows by 5–8%) = $15–25K/location/year in reclaimed productivity
  3. Billing Cycle Acceleration: 4-day reduction in Days Sales Outstanding = 1–2% improvement in cash flow/working capital
  4. Reduced Manual Billing Rework: 2% error rate reduction = $5–10K/location/year
  5. Staff Retention: Improved user experience and workflow reduces turnover churn cost = $3–5K/location/year

Conservative Blended ROI/Location: $35–50K/year in operational savings + cash flow improvements

Timeline to Positive ROI:

  • Breakeven: 6–9 months post-implementation (varies by location readiness and baseline inefficiencies)
  • Full Portfolio ROI: 12–15 months (accounting for staggered rollout and stabilization)
  • 3-Year Cumulative Savings: $1.0–1.5M for a 50-location DSO

How to Lock In ROI:

  • Establish baseline metrics in pre-implementation phase (required in Pre-Implementation Checklist)
  • Assign a Finance Business Partner to validate savings post-implementation
  • Communicate wins monthly to location managers and clinicians—reinforces adoption
  • Reinvest 20% of year-1 savings into advanced features (automated scheduling, patient portal enhancements) to compound value

Conclusion

Arkos deployment at DSO scale is a 4–6 month initiative that requires disciplined phased sequencing, strong change management, and sustained focus on adoption. The window between go-live and stable operation is 30–60 days per location; robust support and clear KPI tracking during this window determine success. A well-executed rollout yields measurable operational savings by month 6–9 and positions the DSO for further technology-driven standardization and growth.

Next Step: Initiate the Pre-Implementation Checklist immediately; assign a project sponsor and kick off the Location Readiness Assessment within 2 weeks.

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