In This Analysis
CMS does not publish a trigger list. There is no published formula that turns a submitted General Payments record into an audit request, and compliance teams who go looking for one are looking for the wrong thing. What CMS does have is the same public dataset every compliance officer, journalist, and plaintiff's attorney can query: 46.4 million General Payment transfers of value across Program Years 2023 through 2025, worth $10.68 billion. The patterns inside that dataset, concentration, sudden change, cross-manufacturer overlap, and geographic surge, are the closest thing to a trigger list that exists, because they are the patterns a reviewer would look for first.
This isn't a claim that any specific arrangement is improper. Open Payments data shows a transfer of value; it doesn't show intent, fair market value, or whether a bona fide service was rendered. It's a claim about where documentation needs to be strongest, because these are the shapes in the data that a review, internal or external, tends to test first.
Concentration Is the Default State, Not the Exception
Every CMS Open Payments audit starts from the same premise: does the data you submitted match what actually happened. Most compliance teams read that as a records-retention problem. It's also a pattern-recognition problem, and the patterns are visible in the same public dataset CMS itself analyzes.
Start with concentration. Across the full three-year General Payments dataset (46.4 million records, PY2023 to PY2025), the top 0.1% of recipients receive roughly 34% of all dollars, the top 1% receive roughly 66%, and the top 10% receive roughly 90%, consistently, in every single year. That stability is itself informative: concentration this steep isn't a one-year anomaly to explain away. It's the baseline shape of the market, which means the recipients sitting inside your own top 1% are exactly the population a CMS review, or a plaintiff's attorney building a False Claims Act theory, will look at first.
None of this establishes wrongdoing. Open Payments data shows a transfer of value; it doesn't show intent, fair market value, or whether a bona fide service was rendered. What it does show is where your documentation needs to be strongest before anyone asks for it.
Sudden Emergence: The Pattern Enforcement Narratives Cite
A more specific signal sits inside that concentration data: recipients who move from low-dollar to high-dollar status in a single Program Year. In the PY2025 data, 67 individuals moved from under $25,000 in both 2023 and 2024 to $250,000 or more in 2025. Meanwhile, a separate, more durable cohort, 2,368 individuals, received $100,000 or more in every one of the three years.
Both populations deserve continuous monitoring, but for different reasons. The stable cohort is a conflict-of-interest question: sustained, high-value relationships that should already carry documented management plans. The sudden-emergence cohort is a fair-market-value and needs-assessment question: what changed in a single year to justify a jump of that size, and is the justification on file before CMS or a covered recipient's own institution asks for it.
Read next: qordata's CMS Open Payments Audit: Resources & FAQs walks through the full audit process, CMS's legal authority under 42 C.F.R. § 403.912(e)(2), and the records CMS typically requests once a review is underway.
A Category Mix Shifting Toward High-Dollar Service Payments
Aggregate spend growth understates what's actually happening inside the categories. Consulting fees grew from $532.2 million (2023) to $649.0 million (2025), a 10.4% three-year CAGR that accelerated to 13.1% in the most recent year alone, outpacing total industry payment growth. Speaker and faculty compensation reached $751.9 million in 2025, the exact category OIG's November 2020 Special Fraud Alert on speaker programs targets by name.
The tell isn't the dollar total. It's the ratio. The consulting-to-meal spend ratio rose from 1.41 in 2023 to 1.46 in 2025, a modest but directionally consistent shift toward higher-value, service-based arrangements, the exact profile OIG and DOJ scrutinize for fair-market-value and needs-assessment support. A manufacturer whose category mix is tilting the same direction, faster than the market average, is tilting toward the categories that draw the closest audit and enforcement attention.
Specialty-level detail sharpens the picture further. Rheumatology consulting spend grew at a 34% three-year CAGR, with a 65% single-year jump from 2023 to 2024, and cardiology consulting accelerated to 20% growth in 2025. Both sit in high-cost biologics and device categories, exactly where OIG has said fair-market-value review deserves the closest attention. A manufacturer whose own category mix is tilting the same direction, and faster than these market-wide rates, is tilting toward the profile CMS, OIG, and DOJ all review most closely.
Cross-Manufacturer Saturation of the Same Recipients
A single manufacturer's General Payments submission can look completely clean and still sit inside a much riskier picture once it's read alongside everyone else's. In 2025, 162,679 recipients were paid by 10 or more distinct manufacturers, and 12,458 were paid by 25 or more. No individual submission captures that breadth; it only becomes visible when CMS, a journalist, or a compliance team benchmarks its own recipients against the full public dataset.
That matters for two reasons. First, broad multi-manufacturer engagement is a legitimate marker of genuine key-opinion-leader status, not automatically a red flag on its own. Second, it means your own fair-market-value and cumulative-exposure review can't stop at what your company paid a given physician. A recipient who looks moderate in your system may be receiving industry-wide totals that put them well inside the concentration bands discussed above, and CMS's own review can see that even when your internal dashboard can't.
Geographic and Specialty Surges That Don't Match History
The clearest localized signals in the three-year dataset are the outliers that break from their own trend line. San Mateo County, California grew from $7 million to $62 million, up 640%, tracking the region's biotech corridor. Arlington County, Virginia rose from roughly $1 million to roughly $31 million over the same period, and Philadelphia County grew 123%. Pennsylvania was the fastest-growing large state in 2025, up 41.0% year over year, while Florida spiked to $320 million in 2024 and fell 33% in 2025, a one-year anomaly worth tracing to specific payers or events before anyone else asks the same question.
A single-year swing of that magnitude is exactly the kind of localized anomaly OIG monitoring and DOJ investigators use to prioritize field review, and it's also exactly the kind of pattern that a state-level transparency or gift-ban statute may independently require you to explain on a different calendar than the federal Sunshine Act deadline.
What This Means for Your Monitoring Program
None of these five signals, taken alone, proves anything. Taken together, layered across category mix, recipient concentration, cross-manufacturer breadth, and geography, they describe exactly the composite risk picture a CMS audit request or a DOJ investigation is built to test. The compliance teams that respond fastest and with the most confidence are the ones already watching these patterns inside their own data, continuously, rather than discovering them for the first time when a records request arrives.
Compliance Central centralizes that monitoring across every Nature of Payment category rather than just the ones with the longest enforcement history, and links every submitted record back to the contract, receipt, or approval behind it. Expense Monitoring & Auditing (EMA) applies that same continuous, 100%-of-records review specifically to expense and payment data, so the sudden-emergence and category-mix shifts above surface as they happen rather than during Program Year close-out.
