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Description
Compatibility Level
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Use cases
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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details

Categories

Solutions

Description

Product Description:
The VDT Affinitē Risk Adjustment module includes: • Multi-user access to the stand-alone Risk Adjustment Module of the Affinitē platform for CMS HCC Risk Adjustment. With Affinitē Risk, HEALTH PLAN NAME will receive the following: o Implementation o Data Integration and Analytics, Warehousing and Daily Processing o Dashboard high-level insights including the status of HCC capture, the performance of providers and provider groups, and HCC opportunities o Reporting o Estimated RAF scores at the member, provider, and provider group level based on claims data o Estimated member level RAF score build-up incorporating demographics, acute and chronic HCCs, disease interactions, and HCC payment count o Identification of HCCs obtained from claims data and chart review o Visibility into detailed claim data, highlighting HCCs that impact the RAF score o Visibility into detailed pharmacy data including refill status and ordering provider o Comparison of estimated RAF scores for current and prior year(s) o Identification of Missing HCCs (year-over-year gaps) for all open years at the member level o Member level identification of possible suspect HCCs based on claims and supplemental data for all open years. o Preparation of RAPS claim submission files in CMS required format o Preparation of RAPS supplemental submission files from chart review in CMS required format o Ability to monitor providers and provider group related to HCC capture, HCC gaps and average RAF score o Train-the-trainer training and support on the VDT Affinitē solution
About Vital Data Technology, LLC:

Vital Data Technology empowers health plans to continuously improve outcomes, accelerate compliance and control costs. Vital Data’s Affinitē™ platform unifies formerly siloed data and leverages artificial intelligence and machine learning to drive actionable interventions. The platform’s modules include: Affinitē™ PlanLink™ for real-time CareFlow™ automation and case management for stakeholders throughout the care continuum; Affinitē™ ProviderLink™ for prioritized, actionable patient interventions; MyVitalData™ for mobile app member engagement; Affinitē™ Quality for optimization of quality management and HEDIS® performance, and Affinitē™ Risk for Hierarchical Condition Category (HCC) risk adjustment.

Vital Data Technology is trusted by health plans nationwide across Medicare Advantage, Medicare, Medicaid, commercial and self-funded adult and pediatric populations and has received NCQA HEDIS® Certification for five consecutive years. For more information visit: www.VitalDataTech.com or call (866) 482-8399.

Product Description:
Caboodle comprises the data warehouse and analytics tools for storing and retrieving large swaths of clinical data useful in reporting for care decision-making, cost management, and predictive analytics. Additionally, Caboodle data warehouses can integrate data from non-Epic systems.
About Epic Systems Corporation:
Epic Systems Corporation is a healthcare-focused software company that develops and offers products to improve the health of people. The company’s products are used at community hospitals, academic medical centers, children's organizations, safety net providers, retail clinics, multispecialty groups, integrated delivery networks, rehab centers, and patients’ homes as well as in many other aspects. Epic Systems Corporation was established in 1979 and is based in Verona, Wisconsin.

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Clients

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Use Cases

Description:

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Pediatric use cases:

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Pediatric use cases:

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EHR Integrations

Integrations:

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EMR Integration & Relevant Hardware:

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Hardware Compatibility:

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EMR Integration & Relevant Hardware:

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EMRs Supported:

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Hardware Compatibility:

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Client Types

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Differentiators

Differentiators vs EHR Functionality:

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Differentiators vs Competitors:

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Keywords

Images

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Downloads

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Caboodle - Healthcare Data Warehouse.pdf

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