Point-of-Care HCC Coding

Point-of-care HCC coding: capture the risk picture during the visit

Point-of-care HCC coding surfaces and documents diagnoses in real time, inside the EHR, while the patient is still in the room. Here is how it works and why it beats the retrospective chart chase.

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98%
coding accuracy
30-50%
less retrospective workload
<10 min
to code inside the visit

Inferscience customer data and industry analyses.

The short answer

What is point-of-care HCC coding?

Point-of-care HCC coding identifies, confirms, and documents a patient's conditions during the visit, so diagnoses are captured with clinical evidence while the encounter is still open and documentation can still be corrected at the source.

It is the opposite of retrospective coding, which reviews charts weeks or months after the visit to recover diagnoses that were missed. Point-of-care coding runs in real time inside the EHR, so the provider reviews suggested HCCs and documents them in the note during the encounter.

Why it wins

Why real-time beats the retrospective chart chase

More complete capture

Conditions are documented while the clinical evidence is fresh and the provider is engaged, so fewer supportable diagnoses slip through.

More defensible documentation

Every code ties to a real encounter with MEAT support, which holds up as RADV audits expand and unlinked chart review is phased out.

Less downstream rework

Strong point-of-care programs can cut retrospective workload by 30 to 50%, according to industry analyses, by closing gaps during the visit.

Better provider experience

Coding happens inside the existing workflow in under 10 minutes, instead of pulling providers into query fatigue weeks later.

How it works

How point-of-care coding works with Inferscience

Inferscience's HCC Assistant is a point-of-care HCC coding tool that runs inside athenaOne, Epic, and eClinicalWorks.

It uses natural language processing to read structured and unstructured chart data, applies clinical rules to catch overlooked diagnoses, and surfaces HCC suggestions in real time during the encounter. The provider reviews the evidence behind each suggestion and makes the final call, at 98% coding accuracy. HCC Validator then confirms MEAT support before submission, so documentation is defensible. A 700-provider clinically integrated network has coded this way with Inferscience inside athenaOne since 2020. Read the case study →

See also: Prospective vs. retrospective HCC coding.

Frequently asked questions

What is point-of-care HCC coding?

Point-of-care HCC coding captures and documents a patient's diagnoses during the visit, in real time inside the EHR, while documentation can still be corrected at the source. It contrasts with retrospective coding, which reviews charts after the encounter.

How is it different from retrospective coding?

Point-of-care coding happens during the visit and produces more complete, more defensible documentation. Retrospective coding reviews charts weeks or months later to recover missed diagnoses, and only works after documentation is already set.

Why does point-of-care coding matter more in 2026 and 2027?

CMS is phasing out unlinked chart review and expanding RADV audits, so every HCC increasingly has to trace to a documented encounter. Capturing diagnoses at the point of care is the most reliable way to meet that bar.

Does point-of-care coding slow down the visit?

No. With Inferscience, the tool does the chart analysis automatically and surfaces ready-to-review suggestions, so providers code in under 10 minutes inside their existing workflow.

Which EHRs support Inferscience point-of-care coding?

HCC Assistant runs inside athenaOne, Epic, and eClinicalWorks, and offers an API for payers and third-party vendors.

See point-of-care HCC coding in your EHR

We'll show HCC Assistant surfacing diagnoses during the visit, in your workflow.

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