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PRODUCTS & SERVICES– PredictiveCARE |
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More Than Just Predictive Modeling
PredictiveCARE gives you better visibility to make the best medical management decisions for your population. How does PredictiveCARE do that? With feature rich applications that give you the ability to aggregate health care data from the member level up. One click gives you access to a virtual medical record for every enrolled individual — a complete history of all medical and pharmaceutical claims.
The PredictiveCARE program uses a software application that has more than three hundred Quality and Risk Measures which are applied to every health care history, yielding an Adjusted Risk Index that can give you early warning of situations where more intensive medical management may be justified.
This Predictive Modeling capability has a strong foundation in the art and science of medicine, from which rules-based logic is derived and used to analyze the detail-rich data sets of the individual and aggregated member health care histories.
With PredictiveCARE, you will have instant access to reports and analysis showing your population trends and ultimately drilling down further to discover underlying causes to understand the "why" behind your high-risk members.
What Can PredictiveCARE Do For You?
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Align everyone with one, reliable version of the facts - with common data definitions and established priorities, you will spend less time searching for the correct data and more time deciding what to do. |
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Shorten the time to make the right decision - with self-service reporting on your key business drivers, you see changes when they happen and make the right decisions at the right time, giving you the ability to deliver preventive care.
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Give you access to fragmented data sources – PredictiveCARE takes the volume of healthcare data from your eligibility, medical claims, case management and pharmacy claims data and turns it into meaningful reports and analysis.
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The PredictiveCARE Method
CareNet’s PredictiveCARE applications sets up data import and data scrub engines, both customized to your system. Your eligibility, claims and pharmacy data (and lab data, if available) are imported and “scrubbed” on a monthly basis, and are stored in your own dedicated data warehouse -- ready for you to mine for knowledge.
Implementations for new clients usually occur in less than 90 days
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Monthly updates occur within 10 business days of receipt of data
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A client-specific data scrubbing engine is provided to assure customized handling of client data.
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Turning Data into Actionable Knowledge
CareNet’s PredictiveCARE program is designed to optimize medical management. It evaluates quality of care provided, and contributes to an individual's Adjusted Risk Index (a component of our predictive model). This incredible measurement tool that has thousands of hours invested in its creation was developed and is continuously updated by the D2 Medical Group.
The analytical results reflect the latest thinking on evidence-based medicine and standards of care, as well as proprietary predictive measures developed by the D2 Medical Group. Parameters used in the medical rules library include more than 50,000 relative risk measurements, encompassing 18,000 medical and 5,000 surgical diagnosis codes, 10,000 procedure codes, and 24,000 Rx NDC codes. Members non-compliant to quality measures are considered riskier, resulting in an Adjusted Risk Index (ARI) higher than the unadjusted Risk Index (RI).
How It Works
All members are assigned a Risk Index, based on their health histories. Hundreds of Quality and Risk Measures are applied to the Risk Index to yield an Adjusted Risk Index. For example, members who are not compliant with quality measures are considered riskier, and are assigned a higher multiplier, yielding a higher Adjusted Risk Index.
In this way, members are stratified on their medical condition, their adherence to quality measures, and the quality of care delivered to them. The system identifies at a glance those members who are likely to be the most costly next year, thus opening up opportunities for care management.
Virtual Medical Record
As an integrated tool for the delivery of quality care, PredictiveCARE aggregates health care data from the member level up. One click will give you access to a virtual medical record for every enrolled individual. This virtual medical record shows a complete history of all medical and pharmaceutical claims, from all providers, no matter how fragmented the data.
This longitudinal view of every member's medical history is instantly accessible by care managers, opening up a new world of coordination of services and potential for true preventive care.
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Identify providers who are or who are not meeting quality-of-care guidelines for specific conditions
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Measure the performance of vendors
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Intervention
Using CareNet’s NurseCARE triage program in conjunction with Predictive Modeling Tools can help you maintain your population’s healthcare needs.Combining NurseCARE’s triage component gives you an additional monitoring and measurement tool that allows consistent care support by informing and educating patients on their condition, empowering them to be proactive in their own health management, and inspiring each person to make the right choices regarding lifestyle changes.
Reporting
Get the correct analytical overview to support the right decision with PredictiveCARE’s complete reporting solution.
D2Hawkeye Explorer is a complete reporting solution. Almost every screen view in the product can be exported to Excel for easy reporting, manipulation and graphing. The product also includes standard medical and financial reports, providing in-depth analyses of the medical issues and cost drivers that may affect spending. Finally, our expert engineers will help you to design a customized report to fit your particular needs.
Sample components of PredictiveCARE’s reporting engine include:
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Reports by member, employer group or business unit |
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Details on cost and utilization drivers
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Performance measures for vendors and providers |
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Opportunities for care management and disease management |
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