Care Gap Analytics Enablement Layer

The Problem: Why Care Gap Analytics Is Often Unreliable

Care gap analytics is a core input to Value-Based Care decision-making.
However, many organizations struggle to trust or scale these analytics.

Common challenges include:

Care gap definitions that vary across data sources and measure interpretations
Analytics built on partial or lagging data, leading to inconsistent results
Difficulty reconciling clinical and claims perspectives on the same gap
Limited transparency into how gaps are calculated, updated, or closed

As a result, care gap analytics often becomes a source of debate rather than a trusted input for action.

What This Use Case Entails

Enabling care gap analytics is fundamentally about measurement logic and data readiness, not dashboards alone.

This use case typically involves the ability to:

Operationalize quality and gap definitions consistently across data sources
Align clinical and claims data into longitudinal patient timelines
Apply gap logic in a repeatable and traceable manner
Produce analytics outputs that downstream teams can trust and interpret

When enabled correctly, care gap analytics becomes a reliable signal, not a moving target.

How TechVariable Approaches Care Gap & Care Plan Enablement

We approach care gap analytics as a measurement enablement challenge, rather than a reporting or visualization exercise.

Our typical approach includes:

Data Integration & Longitudinal Alignment

Integrating clinical and claims data and aligning events across time to support accurate gap evaluation.

Quality & Gap Logic Operationalization

Implementing care gap logic using standardized, versioned definitions that remain consistent as data evolves.

Analytics Pipeline Enablement

Designing pipelines that calculate, refresh, and update gap analytics in a controlled and auditable manner.

Transparency & Interpretability

Ensuring analytics outputs are traceable back to source data and logic, supporting confidence and defensibility.

This approach ensures care gap analytics is repeatable, explainable, and scalable.

A Simulated Walkthrough of this capability

In the walkthrough, you’ll see a simulated visual demonstration of how care gap analytics enablement typically works. The walkthrough focuses on analytics enablement patterns, not a pre-built analytics product.

Access the Walkthrough

Get a short walkthrough showing how care gap management and care plan workflows can be enabled using interoperable data, analytics, and automation.