Azara DRVS is a centralized Data Reporting and Analytics Solutions for Community Health Centers (CHCs) and health center networks and is used to facilitate care transformation, drive quality improvement, aid in cost reduction, and simplify mandated reporting. DRVS is used at over 300 health centers in 30 states representing 24 million patient lives.
Why DRVS is Unique
Scalable population health management and quality improvement solution for single health centers, networks, and multi-state groups of safety-net providers.
Delivers a seamless combination of Clinical, Claims, Practice Management and ADT information.
Engineered for multi-level data exploration from an aggregated enterprise view to individual centers, providers and locations, down to individual patient detail.
Created to be easy to use for frontline staff and sophisticated enough for the IT data analyst.
SaaS model reduces time to value, lowers cost, minimizes maintenance, and provide instant access to the latest enhancements and regulatory updates.
Clinical Integration, Centralized Reporting and Analytics
Multi-level drill down capability from network level to patient detail, including 100+ reports and 400+ measures.
Normalized and Validated Data
Ensures accurate benchmarking, comparative analytics, best practices, adoption monitoring, and population health management. Compare measure performance across practices with the confidence of having consistent definitions.
Patient Visit Planning
Prepares clinical team for patient encounters by identifying care gaps and delivering critical data to the point of care.
Dashboard and Performance Trending
Provide insight and trending on MU, PCMH, UDS, HEDIS, P4P, and other clinical quality initiatives.
Track specific populations of patients by chronic disease, age/gender or advanced filter preferences, such as payer, co-morbidities or health disparities.
Referral Management Reporting
“Close the loop” on completed referrals and quickly identify important referrals that remain incomplete.
Payer Integration – Enrollment & Claims
Understand payer member attribution, utilization and Total Medical Expense (TME).
Transitions of Care Reporting
Track and follow up with your patients as they are admitted or discharged from acute care facilities.
Track both static and dynamic patient groups for grants, research or payer-based programs.
Care Management Passport – Patient Profile
Summary view of single patient providing key data points from Clinical, Claims and ADT data sources.
Social Determinants of Health (SDOH)
Collect SDOH patient data (PRAPARE, OCHIN EPIC, etc.) and track through DRVS dashboards, registry, visit planning, and care management.
Value-Based Care Features
Attribution & Enrollment
Match and reconcile attributed health plan members with actual health center patients
Provide lists and counts of unseen members with a single click
Easily see changes in month-to-month enrollment across multiple plans, identifying both newly enrolled and dis-enrolled members
Limit results of DRVS reports to a health plan enrollment group(s)
Provide measure results using full attributed populations
Stratify matched and unseen patients by age and last visit to identify “low hanging fruit” for outreach
Utilization & Total Medical Expense
Reconcile health plan supplied care gaps across clinical & claims data
Track PMPM costs in aggregate and at the patient level
Identify highest costs members
Stratify members by Total Medical Expense, specific costs categories, or service utilization to identify those requiring additional attention
Combine clinical data from the EHR and Practice Management system with enrollment, claims and ADT information for a full view of what is driving utilization trends
Identify emergency department and inpatient trends and frequent fliers
Calculate patient risk using EHR clinical data, claims data or both
Identify highest risk members
Filter DRVS reports, measures and dashboard results based on patient risk level
Utilize client specified risk factor/algorithm criteria such as Social Determinants of Health (SDOH) or deploy industry standards such as Johns Hopkins ACG
Care Gap Reconciliation
Identify discrepancies between payer (claims based) care gaps and EHR (clinical data based) care gaps
Highlight “perceived” care gaps that have been addressed but still require proper documentation
Understand patients overdue for services
Improve both care and performance metrics