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

Klitsch, Neal

Klitsch, Neal was paid $53K by Medicaid between Oct 2020 and Nov 2024, across 11 billing codes. Its largest line is 74177, Computed tomography, abdomen and pelvis; with contrast material — 42% of everything it billed.

33Billing provider infoKLITSCH, NEAL
GREENSBURG, PA 15601
33aNPI1568665321assigned 06/08/2007
28Total paid$53K
24GClaims2,168
24DCodes billed11
24AFirst – last monthOct 2020 – Nov 2024
Compared with peers

Next to other Diagnostic Radiology Physician providers in Pennsylvania

Rank by total paid#115 of 707
Median peer was paid$5K
This provider vs. median11×

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$2.0K$4.0K2018201920202021202220232024
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
202080$477.70
2021421$10K
2022632$17K
2023596$15K
2024incomplete439$10K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
74177 Computed tomography, abdomen and pelvis; with contrast material 42% 343 338 $23K
70450 Computed tomography, head or brain; without contrast material 12% 181 181 $7K
73721 Magnetic resonance imaging, any joint of lower extremity; without contrast material 12% 92 92 $6K
71045 Radiologic examination, chest; single view 10% 851 794 $5K
71046 Radiologic examination, chest; 2 views 8.3% 542 539 $4K
74176 Computed tomography, abdomen and pelvis; without contrast material 5.6% 46 46 $3K
73221 3.3% 30 30 $2K
71260 Computed tomography, thorax, diagnostic; with contrast material 2.8% 31 31 $1K
72148 Magnetic resonance imaging, lumbar spine; without contrast material 2.3% 26 26 $1K
71250 <1% 12 12 $389.37
76705 Ultrasound, abdominal, real time with image documentation; limited <1% 14 14 $296.40

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.