Explainer · Risk Adjustment
Prospective vs. Retrospective HCC Coding: What's the Difference?
Prospective coding captures diagnoses during the visit. Retrospective coding reviews charts weeks or months later. Here's how they differ, the trade-offs, and how to choose the right approach.
Diagnoses captured with evidence during the visit — while documentation can still be corrected at the source.
Real-time · in the EHRCharts reviewed weeks or months later, often at scale, to recover diagnoses the visit missed.
Back-end · at scaleProspective HCC coding captures diagnoses at the point of care, during the visit; retrospective HCC coding reviews charts weeks or months after the encounter. Prospective, real-time tools that work inside the EHR — like Inferscience — produce more complete and more defensible documentation, because diagnoses are confirmed with evidence while the encounter is still open. Retrospective, back-end review scales across large populations but catches issues only after documentation is already fixed. If your coding happens during the visit, a prospective, EHR-native tool is the better fit — though many organizations use both.
Prospective vs. retrospective, defined
Prospective (point-of-care)
Identifies, confirms, and documents a patient's conditions at or before the visit — so diagnoses are captured with clinical evidence during the encounter, while documentation can still be corrected at the source.
Retrospective
Reviews charts after the encounter, often at scale, to recover diagnoses and close gaps that weren't captured during the visit.
The trade-off: prospective coding produces more complete, more defensible documentation and reduces downstream rework, but requires a tool that fits the clinical workflow. Retrospective coding scales across large populations but works only after documentation is already set.
How the two approaches compare
| Prospective | Retrospective | |
|---|---|---|
| When it happens | During the visit, at or before the point of care | Weeks or months after the encounter |
| Where it runs | In real time, inside the EHR | Back-end chart retrieval and abstraction |
| Who it's built for | Provider-facing, built for the visit | Coder- or payer-facing |
| Strength | More complete, more defensible documentation; less downstream rework | Scales across large populations; strong for gap recovery and audit prep |
| Limitation | Requires a tool that fits the clinical workflow | Works only after documentation is already set |
| Best fit | Providers, groups, ACOs | Health plans, audit preparation |
The two categories of tools
Real-time, in the EHR
These tools run inside the EHR during the encounter, surfacing suggested HCCs so the provider reviews and documents them in the note. They're provider-facing and built for the visit. Inferscience's HCC Assistant is a prospective, EHR-native tool of this kind.
After the encounter
Chart-retrieval and abstraction platforms operate after the encounter — typically coder- or payer-facing — to review submitted or historical records at scale. They're strong for population-wide gap recovery and audit preparation.
Some platforms offer a two-way approach spanning both. The right category depends on where your coding actually happens.
Why prospective coding is gaining ground
Three forces are pushing organizations toward point-of-care capture.
Unlinked chart review is phasing out
CMS is removing unlinked chart review as a submission path, so every HCC increasingly has to trace to a documented, MEAT-supported encounter — which favors prospective capture.
RADV audits are expanding
As audits grow, defensible, in-visit documentation becomes more valuable than after-the-fact recovery.
CMS-HCC V28 raised the bar
V28 — 100% for payment year 2026 — tightened support requirements, raising the bar on documentation quality.
Prospective by design, with a retrospective safety net
Inferscience is a prospective, point-of-care HCC coding tool. HCC Assistant surfaces missed and suspected diagnoses during the visit, inside the EHR, at 98% coding accuracy — and HCC Validator adds a retrospective, pre-submission MEAT check, so organizations can cover both sides.
HCC Assistant
Codes in real time at the point of care, surfacing missed and suspected HCCs inside the EHR at 98% accuracy.
HCC Validator
A pre-submission MEAT validation layer that confirms documentation support before codes are submitted.
A 700-provider clinically integrated network has coded prospectively with Inferscience inside athenaOne since 2020. Read the case study →
How to choose
Lead with prospective
Prioritize prospective, EHR-native coding that fits the visit and reduces retrospective labor.
Scale, then validate
Prioritize retrospective scale and RADV defensibility — plus a validation layer that confirms MEAT support before submission.
Use both
Prospective capture at the point of care, retrospective validation before submission.
Frequently asked questions
What's the difference between prospective and retrospective HCC coding?
Which is better, prospective or retrospective risk adjustment?
Does Inferscience do prospective or retrospective coding?
Can prospective coding reduce retrospective work?
Want prospective HCC coding inside your EHR?
See how HCC Assistant surfaces diagnoses during the visit — real-time, evidence-backed, and built for the point of care.
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