Intelligence for patients, providers, practices and health systems.
Translate fragmented data into decisions for clinical, financial and operational leaders.
- EHR/
PM/ claims/ ePRO/ operations - Governed ingestion
- Identity and terminology harmonization
- Semantic KPI layer
- Clinical/
operations BI - Role-specific drilldowns and alerts
Different systems define patients, visits, providers and services inconsistently. Reports are often delayed, disconnected or difficult to trust, and clinical measures require careful interpretation and provenance.
We build healthcare analytics platforms for more than one specialty or dashboard type. Our work can connect clinical observations, patient-reported measures, appointments, workforce capacity, claims, financial transactions and operational events into decision-ready views. From behavioral health score trends to provider performance, access, quality, population cohorts and executive service-line intelligence, the architecture is driven by trustworthy data definitions and the questions decision makers need to answer.
How we approach it.
- Create a common semantic model and KPI dictionary
- Implement ingestion and validation
- Define risk-adjusted or cohort-specific logic where appropriate
- Build role-based dashboards and drill-through paths
- Measure adoption and data freshness
What it includes.
- Clinical outcome and assessment analytics
- Behavioral health measurement-based care dashboards
- Provider productivity and panel intelligence
- Clinic and service-line performance
- Access, capacity and patient flow analytics
- Financial and RCM business intelligence
- Patient experience and engagement insights
- Population health, care gaps and longitudinal trends
Where it fits.
- Monitor standardized behavioral health scale trends over time
- Compare clinic access, cancellations and no-show rates
- Analyze provider panel activity and appointment utilization
- Track referral conversion and time-to-appointment
- Create executive dashboards for multi-site health groups
- Monitor denials, AR and clean-claim performance
- Measure care program engagement and follow-up completion
- Review diagnostic TAT and critical-result delivery
The engineering behind it.
Who it serves.
Related work.
All work- Multi-hospital integration and patient communicationMulti-vendor healthcare integration · Selected engineering work
- AI-assisted diagnostic report workflowDiagnostic and intelligent workflow · Selected engineering work
- Behavioral health outcomes and care-team analyticsClinical intelligence · Reporting proof-of-concept