Completion of this course will provide attendees with a basic understanding of main AI / machine learning methods that could be used for detecting healthcare fraud ranging from developing visualization dashboards for faster and more efficient fraud investigation to creating more advanced predictive models for automated detection of various types of fraud
Register Now Download BrochurePhD, Data Mining, Machine Learning, Predictive
Modelling, Temple University
Founder - AI&DA Insights
Consulting Partner - Sigmoid
MBA (ABD), Carnegie Melon University
MS in Computer Science & Engineering,
University of Belgrade
Senior Vice President, Medical Investigation & Audit, National Health Insurance Company – Daman
MBA, University of North Dakota
B.Sc., Criminal Justice, North Dakota State University
Accredited Healthcare Fraud Investigator (AHFI), National Health Care Anti-Fraud Association
Certified Professional Coder (CPC), AAPC
Certified Forensic Interviewer, Center for Interviewer Standards and Assessment
This course will provide a basic overview of healthcare fraud and its detection. It will start with covering main fraud schemes exploited globally, follow with providing a comprehensive introduction to the basic components of healthcare data and finish with explaining how AI and Machine Learning can be used to identify potential fraud, waste and abuse in the public and private payer systems.
The software tools and different AI / machine learning methods will be reviewed as well as the newest fraud detection methods based on deep learning. Proactive algorithms used to identify real time large investigations will be reviewed with case studies examined.
Completion of this course will provide attendees with a basic understanding of main AI / machine learning methods that could be used for detecting healthcare fraud ranging from developing visualization dashboards for faster and more efficient fraud investigation to creating more advanced predictive models for automated detection of various types of fraud.
Departments
Level
Individual
15% Early Bird Discount $1,870 till May 7, 2024
10% Early Bird Discount $1,980 till Jun 3, 2024
Groups/Corporate
2+1 Offer $4,400 for 3 Participants
3+2 Offer $6,600 for 5 Participants
OR
25% Discount for Group/Corporate
FWA, AI, Machine Learning, and Local Trends.
Basic Machine Learning Applications in Health Care Fraud Detection – EDA, Reporting & Dashboards
Descriptive / Diagnostic Analytics in Action to Combat Health Care Fraud
Visualization Dashboards / Tools
Wrap up discussion
1 - generative Al
Basic Machine Learning Applications in Health Care Fraud Detection – EDA, Reporting & Dashboards
Descriptive / Diagnostic Analytics in Action to Combat Health Care Fraud
Visualization Dashboards / Tools
Deep Dive on Machine Learning in Health Care Fraud Detection - Case Studies and Round Table Discussions
Predictive / Prescriptive Analytics in Action to Combat Health Care Fraud
Reviewing Use Cases of Investigations and Round Table Discussion on Possible Use Cases
Open Group Discussions / Analyzing How to Address and Apply ML & AI
Closing, Certificate Distribution, and End of Course!
Course Program | |
---|---|
Time | Topic |
Day 1 | |
07:45 to 08:00 | Registration & Introduction |
Day 1-3 | |
08:00 to 10:00 | Session One |
10:00 to 10:20 | Coffee/Tea Break and Quiz |
10:20 to 11:50 | Session Two |
11:50 to 12:50 | Lunch Break & Quiz |
12:50 to 14:20 | Session Three |
14:20 to 14:40 | Coffee/Tea Break |
14:40 to 16:00 | Session Four |