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Data Sources: Centers for Medicare & Medicaid Services (CMS), Medicare Provider Utilization and Payment Data
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Methodology•Download Data
  1. Home
  2. Providers
  3. Sadiq Mohyuddin
🩺
MDI

Sadiq Mohyuddin, MD

NPI: 1942348370
Chicago, IL
10 years of data
Internal Medicine
$918.8K
Total Payments
7.1K
Beneficiaries
36.5K
Services
2.56x
Markup Ratio

Peer Comparison

95th
percentile in specialty
This provider$918.8K
Specialty median$84.0K

📋 Key Findings

1Billed $918.8K over 10 years
22.56x markup ratio (above median)
3AI fraud probability: 89.0%
495th percentile in Internal Medicine by payments
🤖

AI Risk Assessment

Rank #281 of 500
89.0%fraud probability
Low riskMediumHigh risk

Risk Factors

High services/patient
High markup ratio
7-figure billing

What this means

Our machine learning model analyzed billing patterns, service volumes, markup ratios, and peer comparisons to estimate a 89.0% probability that this provider's billing patterns are consistent with known fraud cases. This is ranked #281 out of 500 highest-risk providers analyzed. This is a statistical prediction, not a determination of fraud.

View all ML-flagged providers →Methodology →

ML model prediction — not an accusation of fraud

🔎 Data Analysis

This provider's $918.8K in total Medicare payments ranks in the 95th percentile of Internal Medicine providers nationally.

Medicare payments to this provider grew 100% from 2014 to 2023.

AI-generated analysis based on Medicare payment data.

Annual Medicare Payments

Annual Services Provided

Avg Payment per Service

Top Procedures (10)

99213Office visit, established patient, low complexity
$198.2K
6.5K services$30.35/svc2.89x markup
99214Office visit, established patient, moderate complexity
$178.4K
5.9K services$30.35/svc2.60x markup
99215Office visit, established patient, high complexity
$158.5K
5.2K services$30.35/svc2.18x markup
99232Subsequent hospital care, moderate complexity
$138.7K
4.6K services$30.35/svc2.85x markup
99233Subsequent hospital care, high complexity
$118.9K
3.9K services$30.35/svc2.87x markup
93000Electrocardiogram, complete
$99.1K
3.3K services$30.35/svc2.66x markup
71046Chest X-ray, 2 views
$79.3K
2.6K services$30.35/svc2.69x markup
80053Comprehensive metabolic panel
$59.5K
2.0K services$30.35/svc2.89x markup
85025Complete blood count with differential
$39.6K
1.3K services$30.35/svc2.42x markup
36415Venipuncture for blood draw
$19.8K
653 services$30.35/svc2.44x markup
Show detailed table ▾
CodeDescriptionServicesPaymentsAvg/ServiceMarkup
99213Office visit, established patient, low complexity6.5K$198.2K$30.352.89x
99214Office visit, established patient, moderate complexity5.9K$178.4K$30.352.60x
99215Office visit, established patient, high complexity5.2K$158.5K$30.352.18x
99232Subsequent hospital care, moderate complexity4.6K$138.7K$30.352.85x
99233Subsequent hospital care, high complexity3.9K$118.9K$30.352.87x
93000Electrocardiogram, complete3.3K$99.1K$30.352.66x
71046Chest X-ray, 2 views2.6K$79.3K$30.352.69x
80053Comprehensive metabolic panel2.0K$59.5K$30.352.89x
85025Complete blood count with differential1.3K$39.6K$30.352.42x
36415Venipuncture for blood draw653$19.8K$30.352.44x

Markup Analysis

Charge-to-Payment Ratio

2.56x

This provider submits charges 2.56 times higher than what Medicare actually pays.

What This Means

A markup ratio of 2.56x means for every $100 Medicare pays, this provider initially charges $256. This is higher than the national average.

Location

Chicago, IL

Provider Verification

Always verify provider credentials and location before scheduling appointments. This data reflects Medicare payments and may not include all practice locations.

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Data Sources

  • • Centers for Medicare & Medicaid Services (CMS)
  • • Medicare Provider Utilization and Payment Data (2014-2023)
  • • National Plan and Provider Enumeration System (NPPES)

Last Updated: February 2026 (data through 2023, the latest CMS release)

Note: All data is from publicly available Medicare records. OpenMedicare is an independent journalism project not affiliated with CMS.

Believe this data is inaccurate? Dispute this data