OPERATOR CASE NOTE · Operator Case Note, Revenue Cycle
Recovering Aged A/R From a Revenue Cycle That Looked Healthy
Multi-site ambulatory specialty organization
These are real cases I led in healthcare leadership roles: recovering aged receivables, improving infusion margin, and reducing technology overhead. Organization names and identifying details are withheld to protect confidentiality.
Material Recovery
Aged and underpaid receivables
30%+
Reduction in severely aged A/R
Faster Claim Flow
Improved charge-to-submission performance
Situation
The group's monthly financial package showed collections roughly at budget, so revenue cycle was not on anyone's problem list. What the package did not show was the aging curve. A single line labeled 'accounts receivable' hid the fact that a growing share of the balance was over 120 days old, and that the oldest tranche was being quietly written off as uncollectible each quarter.
There was no denial taxonomy. Denials came back into a shared work queue, were worked in the order they arrived, and were closed either when paid or when someone ran out of patience. Nobody could answer the two questions that matter: which payers deny us most, and for what reason.
Several of the largest commercial contracts had rate schedules that had never been loaded correctly into the practice management system, so underpayments were being posted as full payments. The variance was invisible because nothing compared the allowed amount to the contracted amount.
What I Found
These findings shaped what I tackled first.
Aging was reported as a single number
Leadership saw total A/R, not the 0-30 / 31-60 / 61-90 / 91-120 / 120+ distribution. The trend was deteriorating for six quarters without a single conversation about it.
Denials had no owner and no categories
Without reason-code grouping, the team could not distinguish a front-end eligibility failure from a coding failure from a payer policy change. Every denial was treated as a one-off.
Contracted rates were not enforced by the system
Expected-versus-allowed variance was not calculated on any claim, so systematic underpayment on multiple major contracts had run unchallenged for over a year.
Charge lag was nobody's metric
Median days from date of service to claim submission sat in the double digits at several locations, purely because charge entry was batched around clinic schedules rather than run daily.
What I Changed
Rebuilt the aging report and put it in front of leadership weekly
I built a one-page report: aging buckets by payer category, dollars at risk of timely-filing expiration, and the largest open balances with a named owner beside each. I reviewed it weekly with the physician owners, not just the billing manager.
Built a denial taxonomy and worked it by dollar value
I grouped denials by reason code family and payer category, then had the team work them by recoverable dollars instead of arrival date. The top few categories held most of the money, which turned an endless queue into a handful of fixable problems.
Loaded and audited every contracted fee schedule
We re-keyed each top payer contract into the system, and I set up a monthly expected-versus-allowed variance report. I went back to payers with documented underpayment histories, and they reprocessed the affected claims.
Moved charge entry to a daily close
I set a daily charge close for every provider with a visible exception list. No heroics. Just a defined cutoff, a named owner, and a report that made misses obvious the next morning.
Ran a timely-filing sweep before anything else
I spent the first two weeks only on claims close to their filing deadlines. That work alone accounted for a meaningful share of the total recovery and would have been permanently lost within 90 days.
What Changed for the Practice
The work materially reduced aged receivables and surfaced underpayments that had been treated as fully resolved. A/R in the oldest aging categories fell by more than 30% from baseline, while tighter charge-entry discipline improved the speed from date of service to claim submission.
A meaningful portion of the opportunity came from contract and fee-schedule variance work. That work required no new staff and no new software, only a correct rate table and a report that compared expected to allowed.
The larger operational change was that revenue cycle became a visible leadership measure with clear ownership rather than a back-office total reviewed after the fact.
Why It Worked
Collections at budget is not evidence that revenue cycle is healthy. Budget is a forecast someone made; the aging curve and the expected-versus-allowed variance are facts. Until a practice measures both, it does not know what it is leaving behind.
Important Context
Results in your practice will depend on its operations, payer mix, market, leadership, staffing, and execution.