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Integration & Interoperability simplified: Integrate your claims, clinical, and social determinant of health data (SDOH) data into a Common Data Model (CDM) with consistent terminologies and vocabularies for standardized analytics.
Reliable & Reusable: Reduce errors and uncertainties in your analytics with CDM and generate insight and data products with standardized logic and terminologies.
Accelerate Data Innovation: Rapidly generate insights with easy access to de-identified data mapped using industry-standard vocabularies, enabling your data teams to make a more significant impact.
Cost-Effective: Eliminate the need for months of data engineering efforts to collect, clean, and normalize data and replace it with hours of no-code efforts to achieve analytics maturity.
Industry Standard: Quickly and consistently apply evidence-based analysis, phenotypes, design research, and higher quality, reliable analysis using evidence-based best practices.
Secure data sharing architecture: Retain all your data within your firewalls, and provide access to partners for collaboration through a federated network or data fabrics.
We designed our Risk Adjustment Data Builder to help Health Plans and Risk-Bearing Providers achieve better outcomes with their risk adjustment programs. We provide no-code capabilities to collect, clean, and normalize all relevant data to maximize the program’s effectiveness.
Integration simplified: Integrate your claims, clinical, and social determinant of health data (SDOH) data into a Common Data Model (CDM) that will empower you to quickly identify conditions and care gaps.
Reliable & Reusable: Reduce errors and uncertainties in your CDM analytics and generate insight and data products to power adjacent analytics use-cases.
Quickly Identify Condition Gaps & Errors: Our vocabulary ontology provides semantic interoperability to quickly confirm the validity of conditions (present or suspected) via relationships or correlations between diagnosis, procedure, labs, and medication accuracy of the diagnosis codes.
Cost-Effective: Months of data engineering can add up. But Affine saves you money by collecting, cleaning, and normalizing data in just a few hours of no-code efforts!
Quickly Identify Data Submission: Quickly and consistently reconciles your data sources and submission to CMS.
Leave the data cleansing and aggregation to us
Aggregate data from disparate sources to build datasets to drive risk adjustment programs.
Increase patient engagement and wellness, improve coding accuracy and compliance, identify and close gaps in care.
Ensure that diagnoses submitted to CMS for risk adjustment are clinically supported.
This product contains the National Plan and Provider Enumeration System (NPPES)’s National Provider Identifier (NPI) data. The Centers provide this data for Medicare & Medicaid Services (CMS). NPI numbers are utilized throughout various interactions within the United States medical system to identify individual healthcare providers.
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