EVE™ Enterprise AI

The evidence-first AI framework for value-based care

EVE Enterprise AI technology - Reveleer

One AI foundation for value-based care

EVETM, our Evidence Validation Engine, brings together complementary AI technologies to support prospective and retrospective value-based care workflows across risk and quality programs, so teams can move beyond fragmented models and inconsistent logic. EVE powers Reveleer’s healthcare solutions to deliver precision, transparency, and stronger program performance.

Reveleer's Evidence Validation Engine, EVE - Enterprise AI technology for healthcare

EVETM Hybrid AI

Reveleer’s dual approach to prospective risk and quality fuses clinician authored logic with advanced generative AI. Providers receive proactive, evidence-backed diagnosis suggestions with full transparency and clinician oversight.

EVE Confidence Score - ECS - Reveleer AI

EVETM Confidence Score

EVETM Confidence Score (ECS) applies evidence-based scoring and supervised machine learning to retrospective reviews, prioritizing the most trustworthy findings. Achieve audit-ready confidence while increasing productivity and HCC capture.

Measurable impact across value-based care programs

Faster HEDIS chart retrieval

3X noise reduction

EVE Hybrid AI cuts false positives and irrelevant suspects in half compared to legacy NLP approaches. Prospective risk and quality teams can focus on the highest-value opportunities with greater confidence and less rework.

High HEDIS retrieval rates

33% RAF accuracy improvement

EVE ECS has helped health plans achieve measurable improvements in RAF by validating existing diagnoses and uncovering potential missed conditions, significantly increasing the value of each chart.

Case Study

Accelerating clinical coding precision with AI

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How EVE Enterprise AI delivers results at scale

Eliminate one-off AI models and achieve a unified workflow across retrospective and prospective risk and quality programs. EVE offers a consistent, evidence-first workflow so that risk and quality teams get reliable, actionable, and transparent insights when and how they need them.

EVE Step 1 - Unify patient data
1

Unify patient data

Collect data from across the care continuum into a single longitudinal patient record.

Generate prospective risk suspects with AI
2

Generate risk suspects

Prospectively identify undocumented chronic conditions early in the care cycle.

Step 3 - clinical insights directly into EHR
3

Get clinical confirmation

Deliver insights directly into point-of-care EHR workflows.

Step 4 - validate retrospective risk
4

Validate retrospectively

Stay audit-ready with chart retrieval, abstraction, and coding workflows for retrospective reviews.

Step 5 - integrate retrospective with prospective for Hybrid AI
5

Blend insights

Integrate prospective with retrospective approaches into a hybrid AI-enabled framework.

One AI framework to power risk and quality programs at scale

EVE AI powers prospective risk adjustment solutionProspective risk adjustment

Attain early, accurate identification of care gaps with supporting evidence that clinicians can trust. EVE unifies patient data and applies evidence-first AI to surface high-value suspects, reduce noise, and support year-round risk capture.

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EVE AI powers retrospective risk adjustment solutionRetrospective risk adjustment

Retrospective risk adjustment programs depend on accuracy, audit readiness, and coder efficiency. EVE prioritizes the most trustworthy findings, links every suggestion to source documentation, and streamlines chart review for improvedHCC capture.

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Quality abstraction and gap closure

Continuously identify and validate care gaps. EVE detects quality opportunities, curates supporting evidence, and enables proactive gap closure to improve HEDIS and Star performance at scale.

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EVE AI automates clinical evidence extractionEvidence extraction and validation

Manual extraction slows teams and introduces inconsistency. EVE automates clinical evidence extraction and normalization, ensuring all downstream risk and quality workflows operate from the same foundation.

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EVE AI prioritizes chart reviewsCoding and chart review optimization

High-volume chart review demands speed without sacrificing accuracy. EVE prioritizes charts, highlights relevant evidence, and explains each suggestion. That way, coders can work more efficiently while maintaining human oversight and compliance.

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EVE AI automates record ingestion and retrievalMedical record retrieval and ingestion

EVE automates record ingestion and retrieval to reduce fragmented medical records and the resulting delays. By unifying structured and unstructured data into longitudinal member views, plans and providers achieve faster, more informed risk and quality workflows.

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A unified AI foundation built for trust and scale in healthcare

EVE high-impact insight in clinical documentation

Evidence you can trust

EVE grounds every high-impact insight in real clinical documentation, linking recommendations directly to source evidence. This transparency builds provider trust, supports audit readiness, and replaces black-box probabilities with explainable, defensible AI.

More impact, less operational burden

By unifying evidence extraction, noise reduction, and insight delivery in a single AI framework, EVE increases productivity across risk and quality teams. Organizations achieve greater accuracy and throughput without adding staff or complexity.

EVE productivity across risk and quality programs
AI foundation across risk and quality programs

One AI framework, endless reuse

EVE eliminates fragmented, one-off AI models by applying a shared, governed AI foundation across risk and quality programs. This ensures consistent logic and accelerates time to value as new use cases are introduced.

Reveleer AI-powered platform

See how EVE can support your value-based care strategy

Request a demo to see how EVE AI supports your prospective and retrospective risk adjustment, quality, and retrieval workflows on the Reveleer platform without adding complexity for your clinicians and coders.

EVE AI healthcare technology FAQs

Traditional healthcare AI often relies on isolated, one-off models that generate probability scores without context. EVE replaces this approach with a unified, evidence-first AI engine that links insights directly to source documentation and applies consistent logic across risk and quality programs.

No. EVE is a shared AI technology layer embedded in the Reveleer’s value-based care enablement platform that powers our products and solutions. There is no separate “EVE product” for customers to purchase or manage.

EVE encompasses Hybrid AI (Gen AI-based evidence extraction plus deterministic formulas), Agentic AI pipelines, Clinical NLP (including LLM-enhanced techniques), supervised predictive models, and an AI voice agent used only within the retrieval solution

Agentic AI refers to AI systems designed to take purposeful actions such as extracting evidence, validating information, or routing work. These actions occur within defined rules and human oversight. In EVE, agentic AI performs specific tasks in the risk and quality workflow while remaining transparent, governed, and non-autonomous.

No. EVE’s high stakes use cases are evidence-based and predictive. It analyzes and structures existing data and applies transparent logic, rather than synthesizing new clinical narratives or diagnoses.

All EVE capabilities operate under a structured MLOps and governance framework with continuous monitoring, bias and drift checks, controlled updates, and mandatory human validation for coding and clinical decisions.