Billing Pattern Analysis
Billing Pattern Analysis is a methodological framework in healthcare fraud detection that identifies anomalous or suspicious reimbursement claims by systematically examining historical billing data for deviations from established norms or expected clinical practice patterns.
18
Publications
609
Citations
74
Authors
36
Institutions
Publications per year
2017–2026
7
Parents
18
1–5 of 18
74
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 74
36

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
116 citations
Texas State University
San Marcos, United States
2 h-index
4 publications
106 citations

Walter Reed Army Institute of Research
Silver Spring, United States
1 h-index
6 publications
252 citations
NYU Langone Health
New York, United States
1 h-index
1 publications
34 citations
Clinical Research Institute
Plymouth, United States
1 h-index
8 publications
488 citations
Claremont Graduate University
Claremont, United States
1 h-index
1 publications
30 citations
Duke University
Durham, United States
1 h-index
8 publications
488 citations
Hongik University
Seoul, South Korea
1 h-index
1 publications
93 citations
1–8 of 36
Conference · 1 publications · 13 citations
1
h-index
1 publications · 61 citations
1
h-index
1 publications · 34 citations
1
h-index
1 publications · 24 citations
1
h-index
JAMDA · 1 publications · 40 citations
1
h-index
1–5