$2.9M in revenue loss doesn’t start in the revenue cycle. It starts in your data.
Across millions of encounters, small gaps in diagnostic specificity compound as data moves from documentation to coding to downstream workflows. What begins as a minor loss of detail can quickly turn into denied claims, rework, delayed reimbursement, and unreliable analytics.
In fact, in an IMO Health study of 39 million encounters, 15.6% originated with unspecified diagnoses, putting revenue at risk from the start.
For health tech companies, this is a point of control. It’s also an opportunity.
Our latest insight brief breaks down where specificity is lost and how to prevent it.
Where diagnostic specificity breaks down
Clinical data can flow through multiple systems before becoming a claim, informing an analytic insight, or triggering downstream workflows. Yet, at each stage – documentation, coding, data processing, and analytics – clinical nuance can be diluted or lost as health technology platforms translate clinician language into structured data.
Clinicians may document a specific condition in narrative form but select a less specific diagnosis code in the EHR. Coding systems themselves often allow unspecified diagnoses even when more precise options exist. Then, downstream systems must rely on those codes rather than the rich detail of clinical notes.
The result is a gap between what clinicians know about a patient and what downstream systems can reliably interpret.
For example, a provider may document pain in the left knee but select a diagnosis code for “pain in unspecified knee.” That loss of specificity may seem minor, but it can affect reimbursement and risk adjustment calculations or result in denied claims and manual intervention by revenue cycle staff.
These gaps are not rare.
Based on an analysis of 39 million patient encounters across 20 sites, IMO Health has identified that 15.6% of encounters are initially coded with unspecified diagnoses (laterality, anatomical location, or condition specificity) that place the claim at significant risk for rework or denial.
And once diagnostic specificity is lost, the consequences extend far beyond documentation. These gaps introduce downstream friction across coding, billing, and revenue cycle workflows – often resulting in rework, delays, or increased risk of denial.
The examples below illustrate how unspecified diagnoses create these challenges, and how more precise clinical representation supports accurate billing.
| Diagnosis (at risk for rework or denial) | Explanation | More accurate clinical representation | Appropriate billing DX (ICD-10) | SNOMED® concept |
|---|---|---|---|---|
| R10.819 – Abdominal tenderness, unspecified site | Administrative rework due to potential denial resulting from unspecified anatomical site | Suprapubic tenderness (IMO ID 1049648) | R10.8A3 – Suprapubic tenderness | 43478001 – Abdominal tenderness (finding) |
| M54.50 – Low back pain, unspecified | Administrative rework due to potential denial resulting from unspecified anatomical site | Chronic left-sided low back pain with left-sided sciatica (IMO ID 66945686) | M54.52 – Lumbago with sciatica, left side | 278860009 – Chronic low back pain (finding) |
| H91.90 – Unspecified hearing loss, unspecified ear | Administrative rework due to potential denial resulting from unspecified laterality and unspecified condition detail | Noise-induced hearing loss of left ear, unspecified hearing status on contralateral side (83307068) | H83.3X2 – Noise effects on left inner ear | 1089221000119100 – Hearing loss of left ear caused by noise (disorder) |
This is how $2.9M disappears.
See where the breakdown continues and how IMO Health’s Knowledge Graph maintains clinical detail across systems – helping you influence stronger revenue for your clinician partners.
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