Risk scores are statistical indicators based on prescribing patterns compared to specialty peers. They are NOT allegations of fraud, misconduct, or improper care. Many legitimate medical reasons can explain outlier prescribing.
Read our methodology →🤖 ML Fraud Detection Score: 88%
Machine learning model identifies prescribing patterns consistent with confirmed fraud cases. This is a statistical indicator, not an accusation.
Risk Flags
Risk indicators are statistical patterns, not allegations. Learn more
178
Total Claims
$15K
Drug Cost
22
Beneficiaries
$702
Cost/Patient
Risk Score Breakdown 36/100
Score components are additive. Read full methodology
Peer Comparison vs. 110,156 Internal Medicine providers
+1707%
Opioid rate vs peers
40.4% vs 2.2% avg
-50%
Cost per patient vs peers
$702 vs $1,411 avg
+133%
Brand preference vs peers
24.7% vs 10.6% avg
⚠️ This provider has metrics more than 3 standard deviations above their specialty average in one or more categories.
🔎 Data Overview
ML fraud detection score of 88% indicates prescribing patterns with significant similarity to confirmed fraud cases. 18 out of 20 decision trees flagged this provider.
Opioid prescribing rate is 1,707% above the average for Internal Medicine providers. While some providers legitimately treat pain-heavy populations, deviations of this magnitude are rare and warrant examination.
Insights generated from CMS data analysis. Statistical patterns are not accusations — always consider clinical context.
Opioid Prescribing
40.4%
Opioid Rate
72
Opioid Claims
$9,456
Opioid Cost
61.1%
Long-Acting Rate
This provider's opioid prescribing rate of 40.4% is above the 20% threshold that CMS considers elevated.
Brand vs Generic
Brand: 44 claims · $13K
Generic: 134 claims · $2,530
Patient Profile
63
Avg Age
—
Female
1.29
Avg Risk Score
Explore More
Data from CMS Medicare Part D Prescriber Public Use File, 2023. Risk scores are statistical indicators, not allegations.Methodology · About