Workflow GuideTile Health vs ChartSpan

Tile Health vs ChartSpan: APCM Care Plan Workflow

Compare Tile Health's AI automation and ChartSpan's human model for creating APCM care plans. Optimize scalability, costs, and patient outcomes.

Choosing between Tile Health and ChartSpan for APCM care plan creation involves a fundamental choice: AI-driven automation versus human-staffed care coordination. This guide breaks down the workflow differences, highlighting how Tile Health leverages AI to accelerate documentation and reduce overhead compared to ChartSpan’s traditional service-based model.

The Challenge

Manual care plan creation via human coordinators is slow, expensive, and difficult to scale, often leading to inconsistent documentation and delayed APCM reimbursement cycles for growing practices.

Step-by-Step Workflow

1

Automated Data Ingestion and Patient Profiling

Tile Health’s AI engine scans the EHR to extract patient history, medications, and recent vitals. Unlike ChartSpan, which requires human coordinators to manually review files, Tile Health completes this in seconds, ensuring no data is missed during the transition to APCM.

Best Practices
  • Ensure EHR permissions allow for deep data extraction
  • Verify AI mapping against historical coding
Common Pitfalls
  • Relying on manual entry for legacy patient data
2

AI-Driven Clinical Risk Identification

The AI analyzes extracted data to flag high-risk patients based on APCM criteria. While ChartSpan relies on the subjective judgment of a care coordinator, Tile Health uses standardized algorithms to ensure consistent risk stratification across the entire patient population.

Best Practices
  • Review AI-flagged high-risk patients weekly
  • Customize risk thresholds based on practice specialty
Common Pitfalls
  • Ignoring automated flags in favor of manual lists
3

Automated Patient Outreach and Consent

Tile Health utilizes AI-powered voice and messaging to contact patients for APCM enrollment and consent. This bypasses the scheduling delays of ChartSpan’s human call centers, allowing for 24/7 patient engagement and faster care plan initiation.

Best Practices
  • Use the AI voice assistant for high-volume initial outreach
  • Monitor opt-out rates to refine messaging scripts
Common Pitfalls
  • Assuming patients prefer human callers for simple consent
4

Dynamic Care Plan Drafting

Based on identified risks, the AI drafts a comprehensive care plan including goals and interventions. This eliminates the drafting bottleneck seen in human-led models, where a single coordinator may manage hundreds of patients, leading to generic plans.

Best Practices
  • Utilize pre-built templates for common chronic conditions
  • Ensure interventions are measurable for APCM reporting
Common Pitfalls
  • Creating over-complex goals that AI cannot track
5

EHR Synchronization and Provider Approval

The drafted plan is pushed to the EHR for final provider review. Tile Health’s seamless integration mirrors ChartSpan’s capabilities but reduces the time a provider spends on administrative clicks by pre-populating all required APCM documentation fields.

Best Practices
  • Set up batch approval notifications for providers
  • Verify BAA compliance for all data transfers
Common Pitfalls
  • Failing to sync the final care plan to the patient portal
6

Continuous Automated Monitoring and Updates

Tile Health’s AI continuously monitors patient data for changes, updating the care plan automatically. This contrasts with the monthly manual check-ins provided by ChartSpan, offering a more proactive approach to chronic disease management.

Best Practices
  • Review automated updates during monthly audits
  • Link vitals monitoring to care plan adjustments
Common Pitfalls
  • Waiting for human staff to trigger care plan revisions

Expected Outcomes

1

Reduction in care plan creation time from hours to minutes

2

Lower cost-per-patient compared to human-staffed models

3

100% consistency in APCM documentation and compliance

4

Faster enrollment and higher patient capture rates

5

Elimination of staffing headaches related to care coordinators

Frequently Asked Questions

Tile Health’s AI-driven model typically reduces costs by 40-60% compared to ChartSpan’s human-staffed service, as it eliminates the high overhead of maintaining a large team of care coordinators.

Yes, Tile Health’s AI uses clinical protocols to ensure 100% consistency, whereas human coordinators at services like ChartSpan may vary in their documentation quality and attention to detail.

Tile Health can often be deployed in weeks due to automated data mapping, whereas ChartSpan’s model may take longer as they need to assign and train specific human staff for your practice.

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Tile Health vs ChartSpan: APCM Care Plan Workflow | Tile Health