Our Key Areas of Expertise:

Quality-Driven Data Strategy
We translate quality requirements into executable data and operational strategies.
  • Map measures to required data elements and sources.
  • Identify gaps in capture, coding, attribution, and timeliness.
  • Design pragmatic solutions for supplemental data, encounters, ADTs, and care management data.
  • Support payer-produced quality rates and provider-level transparency.
  • Reduce audit risk and rework by establishing a single source of truth.
AI & Advanced Analytics-Grounded in Reality
We help clients adopt AI and analytics responsibly, with quality, equity, and operations in mind.
  • Identify high-value AI use cases tied to quality, access, and care management.
  • Ensure underlying data is fit-for-purpose before automation.
  • Anticipate bias, gaps, and unintended consequences in AI logic.
  • Align AI-enabled workflows with regulatory and reporting requirements.
Data Sharing & Interoperability That Actually Works
We help organizations move beyond aspirational interoperability to usable, in workflow data exchange.
  • Payer-provider data sharing models (claims, rosters, pharmacy, ADTs, utilization).
  • HIE and Health Data Utility strategy and integration.
  • Governance, consent, and minimum necessary design.
  • Reducing data overload while delivering actionable insights.
Systems Thinking for Value-Based Care & New Funding Models
RecastHealth is known for seeing the whole system-clinical, operational, financial, regulations, market economics, and new opportunities.
  • Prepare organizations for value-based and alternative payment models.
  • Support directed payment initiatives and performance-based funding.
  • Align operations to take advantage of new state and federal programs.
  • Design care management and population health models that scale.

Insights

Governing for Equitable Care: A Priority for 2024
Removing Patient Transport Barriers with Innovative Partnerships