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Table of Contents
1. What actually dropped in September
2. The math behind the haircut
3. Where the pain lands, by category and by lab type
4. Model one: PAMA compliance and data hygiene as a service
5. Model two: rate intelligence built off the public file
6. Model three: the crosswalk and gapfill evidence shop
7. Model four: repricing contracts pegged to Medicare
8. Model five: the PLA and ADLT pivot, and its limits
9. Model six: outreach carve-outs, rollups and lab-as-a-service
10. Model seven: cost-down tech sold as a PAMA offset
11. Model eight: playing the next collection window
12. What investors should actually underwrite
Abstract
CMS posted preliminary CY2027 CLFS rates on Sept 21, 2026, marking the second full PAMA data-collection and reporting cycle for most tests—not the first full reset since 2018
Data collection covered Jan to June 2025, reporting ran May 1 to July 31, 2026
6,411 labs reported data; 1,947 HCPCS codes were evaluated, and 1,528 codes (78.5%) received a weighted median. The preliminary data imply an average cut of roughly 16%, and CMS estimates annual savings of about $1 billion
1,171 codes go down, 186 go up, and 169 are flat; molecular pathology is down 22%, genomic sequencing down 23%, microbiology and immunology down 19.3%, chemistry down 16%, and PLA codes down 2.4%
Cuts are capped at 15% per year for 2027 through 2029, so the full reset lands over three years
Roughly 419 codes with no applicable information go to crosswalk or gapfill, through the Sept 15–16 advisory-panel process and subsequent comment windows
Hospital-lab reporters went from 21 in 2017 to 875 in 2026; total reporters rose from 1,942 to 6,411
This essay lays out eight business models that get created or supercharged by this: compliance services, rate intelligence, gapfill evidence shops, Medicare-pegged contract repricing, PLA and ADLT strategy, outreach carve-outs and rollups, cost-down tech, and next-cycle rate architecture
It ends with what investors should and should not underwrite


