CCS-P Medical Coding study materials
CCS-P Medical Coding study resources

E/M Distribution Shift After a Template Rollout

CCS-P Medical Coding · Put your knowledge to work in context.

All case studies

E/M Distribution Shift After a Template Rollout

A five-provider family practice deployed a new EHR visit template in January. By the second quarter, 99214 use rose from 34% to 61% of established-patient visits and 99213 fell correspondingly; 99212 essentially disappeared. Payer A's CO-97 ('bundled/service not separately payable') denial rate climbed to 11%, two payers issued documentation requests, and days in A/R moved from 31 to 44. A preliminary look at ten records found seven with identical review-of-systems and exam text across different patients, and four whose documented medical decision making supported only 99213. The compliance officer asks for a plan before the payers escalate.

1. How do you size and validate the problem before acting on it?

Read the worked answer

Start with a defensible measurement, not with the anecdote of ten charts:

  • Draw a statistically valid random sample per provider (typically 30–50 records per provider for a 95%/±10% confidence read), spread across the two quarters, and score each against the current E/M rules (problem complexity, data, risk - or total time if the provider documented time).
  • Blind the review: the auditor should not know which provider or which template version produced the note.
  • Test three separate hypotheses the data can distinguish:
  1. Template artifact - the template pre-populates ROS/exam text, producing cloned documentation with no clinical content behind the level.
  2. Education gap - providers genuinely believe the new template's checkboxes equal MDM, and are leveling from data review that does not meet the 'data' element.
  3. Deliberate upcoding - distribution shift concentrated in one or two providers rather than across all five.
  • Compare the practice's distribution against a peer benchmark and against each provider's own pre-January baseline.

The key judgment: identical ROS text across patients is a documentation integrity finding that nearly always strips the level, regardless of whether the provider actually did the work.

2. The audit confirms overpayments. What is the required response, and how does the CO-97 denial pattern fit in?

Read the worked answer

Required response:

  1. Quantify the overpayment by claim, not by extrapolation - extrapolated figures may inform a settlement but the refund is calculated on identified claims.
  2. Report and return within 60 days of identifying the overpayment, with an explanation of the error.
  3. Evaluate self-disclosure if the pattern is systemic across payers and providers rather than a handful of claims.
  4. Root-cause the template: remove pre-populated ROS/exam defaults, require the MDM elements to be affirmatively documented, and add a template change-control review before any future rollout.

The CO-97 denials are a different problem that looks like the same one. CO-97 means a code was bundled or not separately payable - a code-edit/modifier issue, often an E/M billed same-day as a procedure without supportable modifier 25, or a procedure bundle. Fixing the E/M level documentation will not fix a modifier edit, and appealing CO-97 denials without amending the record just recycles the same claim. Triage them separately: pull the denied claims, determine whether a modifier was missing and supportable or the service genuinely was bundled, and only appeal where the record supports it.

The rising days in A/R is the downstream symptom of both - denials sitting in appeal queues while staff rework the same accounts.

3. Which metrics and controls would you put in place to show the fix is holding?

Read the worked answer

Monitor leading indicators, not just the lagging revenue number:

  • E/M distribution by provider, monthly against each provider's own baseline and the peer benchmark - a return to the prior distribution is the signal the template fix worked.
  • Internal audit accuracy rate on a rolling random sample (target ≥95% for E/M level accuracy), reported to the compliance committee quarterly.
  • First-pass clean-claim rate and CO-97 denial rate, tracked separately from medical-necessity denials so the two root causes stay visible.
  • Days in A/R and percent of A/R over 90 days, to confirm the backlog is clearing rather than being written off.
  • Documentation integrity flags - percentage of notes with identical ROS/exam blocks on same-day visits, and percentage of notes signed more than 72 hours after the encounter.
  • Template change control: no template modification goes live without a coding/compliance review and a sample of test claims.

Process control: feed audit findings into targeted provider education with a re-audit at 60–90 days, and only escalate to corrective action if a provider's accuracy does not improve after education. Document every step - the paper trail is what turns a payer investigation into a resolved audit.