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 Brochure
Phd, Machine Learning
VP, Advanced Data Analytics & Data Engineering, Stanley Black & Decker (SBD)
Former Director Data Sciences, Aetna
PhD, Machine Learning, Temple University
MBA (ABD), Carnegie Melon University
MS in Computer Science & Engineering, University of Belgrade
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 learningmethods 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.
Investigators and Auditors in the Healthcare domain
Certified Fraud Examiners (CFE)
Certified Information Systems Auditors (CISA)
Insurance Claims Adjudicators
Special Investigator Unit Directors/Auditors
Medical Claims Auditors
Third Party Administrators
Professionals who want to expand their skillsets in interviewing techniques
Compliance analysts and managers
Internal and external auditors
Those attendees that are new to the fraud and abuse dataanalytics world
How can I register for Webinar and how does the whole thing work?
You may register by email or online:
To register by email:
Download the brochure and complete the registration form given as a last page of the brochure and email to firstname.lastname@example.org
To register online:
Step 1 – Go to the course page and click ‘Register Now’
Step 2 - Complete the registration form, read and check the ‘terms and conditions’ box and click on ‘Register’. You’ll receive a confirmation email.
Step 3 - Click on ‘Confirm’ in the confirmation email and you'll be taken to the login page. Login and click the "Add to Cart" button that suits your needs and click "Pay by Credit Card" to enter your payment details. You'll receive a payment confirmation email as well as a Welcoming Package with the full itinerary.
Please check following questions to see how the whole thing works.
If you have any questions or need assistance, please and thank you reach us at email@example.com
How soon I can login?
You will be able to login 10-15 minutes prior to each activity/session. Don’t take a chance, so better will be to login early.
How do I join webinar/meeting?
Joining is easy, just takes few seconds.
Just click the link in the invite that you will be provided with in email. You will proceed to your session immediately. Just remember to register first if attending a webinar.
How can I join Zoom meeting and what are the pre-requisites?
Please check the details as how to join the meeting at https://support.zoom.us/hc/en-us/articles/201362193-Joining-a-meeting
How do I ask the Instructor questions?
There will be a 'chat option on your screen. Type your question in the box and send it direct to the Instructor. The Instructor will address your question at the earliest and at an appropriate time during the presentation
Early Bird Discount
25% discount till Feb 15, 2021 to pay $375/participant
20% discount till Mar 10, 2021 to pay $400/participant
3 participants for $1,000 (valid till Feb 15, 2021)
3 participants for $1,100 (After Feb 15 till Mar 9, 2021)
Note: To avail the discount and 2+1 offer, the payment isrequired to be received before the deadline
Opening Remarks & Introduction
The Introduction to the problem of Medical Insurance Fraud
Basic Machine Learning Applications in Health Care Fraud Detection – EDA, Reporting & Dashboards
Descriptive / Diagnostic Analytics in Action to combat Health Care Fraud
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
Fraud Use Cases and Open Discussions on how to apply ML and AI to address those
|12:45 to 13:00||Registration & Introduction|
|13:00 to 14:00||Session One|
|14:00 to 14:20||Break|
|14:20 to 15:20||Session Two|
|15:20 to 15:40||Break|
|15:40 to 16:40||Session Three|