Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Asl-Den LLC

Asl-Den LLC was paid $5.40M by Medicaid between Jan 2018 and Aug 2023, across 34 billing codes. Its largest line is 87491, Infectious agent detection by nucleic acid; Chlamydia trachomatis, amplified probe — 14% of everything it billed.

33Billing provider infoASL-DEN LLC
WEST PALM BEACH, FL 33401
33aNPI1770738650assigned 11/19/2008
28Total paid$5.40M
24GClaims172,266
24DCodes billed34
24AFirst – last monthJan 2018 – Aug 2023
Compared with peers

Next to other Clinical Medical Laboratory providers in Florida

Rank by total paid#14 of 225
Median peer was paid$74K
This provider vs. median73×

Peers share this provider's primary NPPES type and state. Size alone says nothing about billing quality: a big agency or a hospital system is expected to sit far above the median.

Box 24A · Dates of service

Paid by month

$0$100K$200K$300K2018201920202021202220232024
Paid that monthNov–Dec 2024: claims still arriving when the file was cut, so these months run low for every provider
By year, as a table
YearClaimsPaid
201846,404$1.38M
201953,211$1.77M
202054,041$1.87M
202115,657$359K
20222,588$16K
2023365$1K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
87491 Infectious agent detection by nucleic acid; Chlamydia trachomatis, amplified probe 14% 23,295 21,778 $752K
87591 Infectious agent detection by nucleic acid; Neisseria gonorrhoeae, amplified probe 12% 23,230 21,713 $664K
87624 Infectious agent detection by nucleic acid; human papillomavirus (HPV), high-risk types 11% 20,630 19,181 $619K
88305 Level IV - Surgical pathology, gross and microscopic examination 9.9% 6,829 6,559 $536K
88175 Cytopathology, cervical or vaginal, any reporting system; collected in preservative fluid, automated thin layer 7.4% 24,035 22,972 $402K
87661 Infectious agent detection by nucleic acid; Trichomonas vaginalis, amplified probe 6.8% 13,836 12,921 $366K
87482 6.2% 7,051 6,559 $336K
87481 5.5% 10,663 6,435 $297K
87512 5.1% 7,495 6,986 $274K
U0004 2019-ncov coronavirus, sars-cov-2/2019-ncov (covid-19), any technique, multiple types or subtypes (includes all targets), non-cdc, making use of high throughput technologies as described by cms-2020-01-r 5.0% 3,121 2,876 $272K
87798 Infectious agent detection by nucleic acid; not otherwise specified, amplified probe, each organism 3.8% 5,753 3,798 $206K
87653 3.6% 5,867 5,692 $195K
22 more codes
87511 3.1% 5,056 $167K
87799 1.5% 2,358 $82K
87081 <1% 6,544 $52K
88141 <1% 3,162 $47K
U0002 2019-ncov coronavirus, sars-cov-2/2019-ncov (covid-19), any technique, multiple types or subtypes (includes all targets), non-cdc <1% 775 $34K
87625 <1% 528 $21K
87150 <1% 619 $20K
87529 <1% 457 $15K
86769 <1% 289 $12K
88185 <1% 29 $10K
88275 <1% 55 $8K
88342 <1% 203 $8K
88271 <1% 55 $3K
88304 <1% 42 $1K
88184 <1% 29 $911.93
88313 <1% 42 $679.57
88291 <1% 43 $596.84
88341 <1% 16 $477.52
85060 <1% 28 $439.02
87801 Infectious agent detection by nucleic acid; amplified probe, multiple organisms <1% 42 $362.50
U0005 Infectious agent detection by nucleic acid (dna or rna); severe acute respiratory syndrome coronavirus 2 (sars-cov-2) (coronavirus disease [covid-19]), amplified probe technique, cdc or non-cdc, making use of high throughput technologies, completed within 2 calendar days from date of specimen collection (list separately in addition to either hcpcs code u0003 or u0004) as described by cms-2020-01-r2 <1% 48 $250.00
88311 <1% 41 $210.25

Claims and beneficiary counts add up across code × month rows, so one patient seen every month counts many times. Rows with fewer than 12 claims are suppressed by HHS, so small lines can be missing.

From NPPES

Who's on the registration

Authorized officialPAPAIOANU, ATHANASSIOS (CEO/PRESIDENT)
Same official

Other billing entities under PAPAIOANU, ATHANASSIOS

Full network →
ProviderLocationPaid
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Path Alliance INCCarrollton, TX$238K
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App-Pbp, LLCWest Palm Beach, FL$16K
Ariana Diagnostics, LLCNashville, TN$11K

Matched on the authorized-official name exactly as entered in NPPES. A common name can match unrelated people.