Healthcare SBC

Bellwether

The Conditions You Documented But Never Coded

Bellwether reads notes, diagnoses, history and structured data to find conditions that are clearly documented but not represented in coded data, and to surface quality-measure gaps before the measurement period closes.

In risk-based contracts, undocumented is unfunded

Under value-based and risk-sharing arrangements, the coded picture of a population determines what it is funded to care for. A condition managed at every visit but never coded simply does not exist to the payer.

Bellwether reviews clinical notes, diagnoses, patient history, codes and other structured information, and identifies conditions that are documented in the record but not appropriately represented in the coded data.

It does the same for quality measures, surfacing potential gaps to the team that can act on them. Staff review the findings and take the clinical or administrative action. The AI identifies; people decide what it means and what to do.

Capabilities

What's included

Find what the coded data does not say

Documented-but-uncoded detection

Conditions clearly supported by the record but absent from coded data are identified with the documentation that supports them.

Quality-measure gap analysis

Potential gaps against the applicable measure definitions, routed to the team that can close them.

Population-level view

Findings roll up across a panel or a population, which is the level risk contracts are actually settled at.

Evidence attached

Every finding carries the documentation behind it, so review is a decision rather than an investigation.

Why it matters

The outcomes practices actually measure

We are evaluated on the numbers that change in your operation, not on features shipped or tickets closed.

Risk capture that matches the care delivered
Funding follows the coded picture. Closing the gap between what is treated and what is coded is the whole exercise.
Quality gaps found while they can still be closed
A gap identified in month three is actionable. The same gap found after the measurement period is a report.
Built for value-based arrangements
Most useful exactly where the financial model depends on an accurate population picture rather than on visit volume.
Review, not automation
Findings go to the responsible team. No diagnosis is added to a record and no measure is closed by the system.

How it works

What working with us looks like

  1. 1

    Review the full picture

    Clinical notes, diagnoses, patient history, codes and other structured information are reviewed together rather than in isolation.

  2. 2

    Identify what is missing from the coded data

    Conditions documented in the record but not appropriately represented in coded data are identified and evidenced.

  3. 3

    Surface quality-measure gaps

    Potential gaps are raised to the population health, quality or care management team responsible for them.

  4. 4

    Staff act

    Findings are reviewed and the appropriate clinical or administrative action is taken by people, not by the system.

FAQ

Bellwether, frequently asked questions questions

Does Bellwether add diagnoses to the record?
No. It identifies conditions that appear documented but uncoded and presents them with supporting documentation. A clinician or coder decides whether the finding is correct and what to do about it.
Is this the same as upcoding?
No, and the distinction matters. Bellwether only surfaces conditions already documented in the record. It does not suggest conditions the documentation does not support, and every finding is reviewed by a person.
What does it need to work?
Problem-list data, the applicable quality-measure definitions, structured patient history and a model suited to the population.
Who uses it?
Population health teams, quality teams, providers, care management teams and revenue cycle organisations operating under risk-sharing arrangements.