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Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
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Company details
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:
Proprietary Machine Learning models through an API service to predict the temporal health status of patients living with chronic disease. Models are trained on a robust and generalizable data set, including EHR data, SDOH, and RPM data. For example, Myia can predict with 90% accuracy hospitalization risk for a polychronic population in the following risk bins: 1-14 days, 15-30 days, 31-90+ days. Our predictive services are crucial for smart triage, patient program eligibility, and cost effective scaling of virtual care and RPM. Our service can function with or without RPM data.
About Myia Health:

Myia is a data driven operating system for virtual care. Myia equips Patients and Clinicians with the tools needed for the patients transition from hospital at home, to 30 day readmit avoidance, to traditional RPM. The shift to value-based reimbursement models necessitates more preventative models of care, Myia's platform crosses these models and facilitates cost savings. Myia is partnering with the leading healthcare organizations around the country. Partners like Mercy Virtual, one of the country's leaders in continuous and preventative chronic care management, including patients with Heart Failure, COPD, Diabetes, and Hypertension. Myia improves quality of life for patients and predicts and prevents costly medical events for care providers. Myia takes a device agnostic approach to daily patient monitoring, applies proprietary machine learning for smart triage, and has a clinician centric application to surface the right patient at the right time into workflow. Partnerships with BioIntellisense and Dispatch health bring a complete Hospital at Home offering to the market.

Compatibility level

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Clients

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Use Cases

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

None provided

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, Other, Allscripts/Eclipsys, Athenahealth

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app)

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

There are no homegrown options that do all that Myia is capable of from a Clinical Perspective. Myia can be used to monitor patient data in four major settings, Inpatient, Hospital at Home, 30 Day readmit avoidance programs, long term RPM programs.

Differentiators vs Competitors:

Myia is the only RPM vendor that we are aware of with Data Scientist on staff as well as Data Analyst who work to stratify data and work with Clients to maximize the value of the Myia platform. By looking across patients clinical indication Myia can predict who should be on the program as well as whom is likely to require a hospital visit. These analytics help reduce costs and patient outcomes.

Keywords

Images

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Videos

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Downloads

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Alternatives

Company Details

Founded in 2017

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