Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Physician

Prime Infectious Disease Group PLLC

Prime Infectious Disease Group PLLC was paid $55K by Medicaid between May 2022 and Apr 2024, across 3 billing codes. Its largest line is 99233, hospital visit by a doctor, follow-up day (complex) — 67% of everything it billed.

33Billing provider infoPRIME INFECTIOUS DISEASE GROUP PLLC
DALLAS, TX 75234
33aNPI1801469218assigned 07/22/2021
28Total paid$55K
24GClaims2,188
24DCodes billed3
24AFirst – last monthMay 2022 – Apr 2024
Compared with peers

Next to other Infectious Disease Physician providers in Texas

Rank by total paid#42 of 110
Median peer was paid$33K
This provider vs. median1.7×

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$2.5K$5.0K$7.5K2018201920202021202220232024
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
20221,154$23K
2023937$27K
2024incomplete97$5K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
99233 Hospital visit by a doctor, follow-up day (complex)Prolong inpt eval add15 m 67% 1,044 247 $37K
99223 Prolong inpt eval add15 m 22% 260 251 $12K
99232 Hospital visit by a doctor, follow-up daySubsequent hospital care, per day, moderate complexity 11% 884 169 $6K

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 officialKACHHDIYA, SURESH (PRESIDENT)
Same official

Other billing entities under KACHHDIYA, SURESH

Full network →
ProviderLocationPaid
Jiya Medical Group PLLCDallas, TX$139K

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