Recovering Reimbursement Through PDGM Comorbidity Coding Correction
Improved
Comorbidity Capture
Reduced
Episodes at 'None' Tier
Specific & reportable
Documentation
Prospective, ongoing
Review Model
How a therapy-heavy home health agency corrected missed PDGM comorbidity coding by closing the documentation-to-ICD-10 gap.
The Challenge
A Medicare-certified home health agency carrying roughly 150 to 200 active patients, with a therapy-heavy census, engaged Medeoan after noticing that a large share of its 30-day payment periods were grouping into the lowest comorbidity band. Under the Patient-Driven Groupings Model (PDGM), each period can receive no comorbidity adjustment, a low adjustment for a single qualifying secondary diagnosis on CMS's subgroup list, or a high adjustment when two or more reported conditions fall within an interacting comorbidity subgroup pair. In practice, the agency's periods were overwhelmingly landing at the "none" tier, which was inconsistent with the clinical complexity its teams were describing at the bedside. The root cause was a documentation-to-coding gap rather than a lack of patient acuity. Field clinicians were recording relevant conditions such as chronic cardiac, endocrine, and neurological diagnoses in narrative notes and assessment comments, but coders were not consistently translating that narrative into the specific, reportable ICD-10-CM codes PDGM requires. Nonspecific or omitted secondary diagnoses meant eligible conditions never entered the claim in a form the grouper could recognize, so comorbidity adjustments the agency was entitled to were simply not being captured.
Our Solution
Medeoan began with a retrospective coding audit of a representative sample of recent episodes. Each record's clinical documentation, OASIS data, and physician orders were reviewed against the current PDGM comorbidity subgroup and interaction reference lists, so that conditions supported in the chart could be mapped to specific, codeable ICD-10-CM diagnoses. This surfaced patterns of missed or overly general secondary codes and clarified which subgroup interactions the agency's population most often qualified for but was not reporting. Building on those findings, we delivered targeted education to both clinicians and coders. Clinicians received guidance on documenting the specificity, acuity, and causal relationships that support secondary diagnosis reporting, while coders were trained to recognize comorbidity subgroup and interaction opportunities and to query when documentation was ambiguous rather than defaulting to a nonspecific code. The emphasis throughout was on coding only what the record genuinely supports. Finally, Medeoan implemented a prospective pre-bill review workflow. Before claims are finalized, a coder reviews each period against the comorbidity interaction logic and issues documentation queries where a condition appears clinically present but insufficiently documented. This shifted the agency from correcting revenue retrospectively to capturing accurate, defensible coding at the point of billing.