Empowering providers and health systems with analytics that drive smarter care decisions.

200+ Integrations with wearables, med devices & health systems

HIPAA & SOC 2 Compliant

Solutions

100000 + API calls

average supported per customer

12000 + data elements curated from 200+ Health Systems & Wearables

Clinical Variation & Quality of Care

Challenge: Providers across a system often deliver care inconsistently, leading to variable outcomes and unnecessary costs.

Analytics Solution:

• Identify unwarranted clinical variations using risk-adjusted benchmarking.
• Surface gaps in adherence to evidence-based protocols.
• Enable dashboards for peer-to-peer comparison and performance improvement
  

Patient Leakage & Referral Inefficiency

Challenge: Health systems lose revenue when patients are referred outside the network or don’t follow up.

Analytics Solution:

• Track referral patterns and identify high-leakage departments or providers.
• Pinpoint specialties where capacity can be increased to retain care in-network.
• Predict no-shows and leakage risk to proactively engage patients.
  

Chronic Disease Management & Risk Stratification

Challenge: High-risk patients are not consistently identified or managed early, leading to avoidable hospitalizations.

Analytics Solution:

• Predict risk using EHR + SDOH + claims data models.
• Stratify patients for targeted interventions (e.g., DTx, care management).
• Measure ROI of chronic care programs and care coordination teams.
  

Workforce Productivity & Burnout

Challenge: Clinical teams are overburdened and inefficiently scheduled.

Analytics Solution:

• Track provider time allocation across patient care vs. admin work.
• Identify underutilized or overextended providers via scheduling data.
• Optimize workforce deployment based on patient load forecasting.
  

Operational Throughput & Resource Utilization

Challenge: ORs, imaging centers, and inpatient beds are under- or over-utilized.

Analytics Solution:

• Model ideal throughput based on historical and real-time data.
• Forecast high-utilization days and suggest dynamic resource allocation.
• Reduce ED wait times and LOS (length of stay) through bottleneck identification
  

Readmissions & Avoidable Utilization

Challenge: Preventable readmissions and unnecessary ED visits drive costs and lower quality scores.

Analytics Solution:

• Predict readmission risk at discharge using EHR and behavioral factors.
• Trigger timely interventions such as remote monitoring or nurse check-ins.
• Surface repeat ED users for targeted case management.
  

Revenue Cycle Leakage & Denials

Challenge: Providers lose revenue due to coding issues, denials, and billing inefficiencies.

Analytics Solution:

• Analyze denial trends by department, payer, or diagnosis.
• Identify high-value areas for RCM process improvement.
• Use AI to flag documentation gaps before claim submission.
  

Population Health & Value-Based Care Performance

Challenge: Difficulty tracking performance across quality, cost, and utilization metrics.

Analytics Solution:

• Combine claims + EHR data to monitor value-based contract KPIs.
• Identify missed HEDIS/STAR/QPP quality opportunities.
• Attribute patients correctly and track performance against benchmarks
  

Social Determinants & Health Equity

Challenge: Providers struggle to incorporate non-clinical data into patient care.

Analytics Solution:

• Integrate SDOH data to identify at-risk populations.
• Tailor community health programs with heatmaps and risk indices.
• Track disparities in care access, outcomes, and engagement.