The document discusses a life sciences compliance conference with the hashtag #ACIFCPA. It outlines presentations on detecting corruption across operations, working with compliance monitors, and leveraging internal audit, data analytics, and metrics. Graphics show examples of how predictive analytics can help identify trends and improper payments, and text analytics can help identify anomalous expenses.
1. #ACIFCPA
ACI’sFCPA &Anti-Corruption forthe
LifeSciencesIndustry
Daniel Garen
SVP & Chief Compliance Officer
Wright Medical Technology, Inc.
Detecting and Monitoring
Corruption Across Your Operations:
First-Hand Insights on How to Work with Compliance Monitors, and
Leverage Your Internal Audit Function, Data Analytics and Metrics
Brent White
Vice President, Internal Audit
Allergan
Joshua Torok
Associate Director, Internal Audit
PPD, LLC
April 28-29, 2014
Sara Vandermark
Analytics Senior Manager
Deloitte Financial Advisory
Services LLP
Tweeting about this conference?
2. #ACIFCPA
Wright Compliance Dashboard
Operations Status
Administration
Strategy Status
Professional Affairs Status
Review & Monitoring
Annual Report
IRO Management
Aggregate Spend
Transition Planning
Q4
FCST
Q4
ACT
Q1
FCST
Policy Updates 0 0 0
Training Events 0 0 0
Communications 0 0 0
Q4 BUDGET Q4 ACTUAL DIFFERENCE
$0 $0 $0
Departures 0 New Hires 0
Open Headcount 0
6 Month Consultant Needs Change
Proposed New Headcount -
0
10
20
30
40
50
60
2013 2012
Investigations Status
Cases Opened
Cases Closed
Competitor
0 10 20 30 40 50 60
2012Q4
2013Q1
2013Q2
2013Q3
2013Q4 *
Goal
CQRC Draft HCP Training Fully ExecutedOn TrackComplete At Risk
* Excludes Early Filing Agreements
0
0
0
0
0
0
4. #ACIFCPA
0
50
100
150
200
USA EMEA Intl Japan
Service Neeeds Review Committee
Modifications Year To Date
New Events
Tier Changes
Hours Changes
Professional Affairs
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
12Q4 13Q1 13Q2 13Q3 13Q4
Budget
Actuals
Global Consulting Budget vs. Actual ($m)
Global Engagements YTD
Foot & Ankle
Hip & Knee
Biologics
Upper
Extremity
0% 50% 100%
WGH
USA
Latin America
Japan
EMEA
Canada
BMTI
Asia/ Australia
Completion of Health Care Provider Fee for
Service Agreementsby Region
Complete
Pending
0
0
0
0
0
0
0 0 0
5. #ACIFCPA
Review and Monitoring
Top 5 Concerns – Q3
1. XXXXX
2. XXXXX
3. XXXXX
4. XXXXX
5. XXXXX
Top 5 Concerns – Q4
1. XXXXX
2. XXXXX
3. XXXXX
4. XXXXX
5. XXXXX 0
5
10
15
20
25
30
35
40
45
50
Quarter 3 October and
November
Quarter 3 October and
November
November
October
Quarter 3
HCP Spend Comparison
Documentation Errors
and Omissions HCP Spend Violations
Question
Number
Top 5 Questions Missed During
Interviews
18 XXXXX
19 XXXXX
14 XXXXX
17 XXXXX
10 XXXXX
0
1
2
3
4
5
6
7
8
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
NumberofIncorrectResponses
Question Number
Interview Results
0
0
0
0
0
0
0
0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0
0
0
0
0
0
0
0
0
0
11. #ACIFCPA
Customer Facing /
Focus Arrangement
On-going DPA/CIA
Processes
Compliance
Policy
Compliance Project Activities:
• Sales Force Audits
• Healthcare Provider Spend
• Consultant Contracts
• Healthcare Provider Payments
• Medical Education
• Grants and Charitable Donations
• Tone at the Top
• Ride Alongs
• Compliance Investigations Process
• Transparency & Aggregate Spend
• Sales Force Communication
• Anti Bribery Anti Corruption – FCPA
Review and Monitoring – Project Areas
12. #ACIFCPA
ACI’sFCPA &Anti-Corruption forthe
LifeSciencesIndustry
Daniel Garen
SVP & Chief Compliance Officer
Wright Medical Technology, Inc.
Detecting and Monitoring
Corruption Across Your Operations:
First-Hand Insights on How to Work with Compliance Monitors, and
Leverage Your Internal Audit Function, Data Analytics and Metrics
Brent White
Vice President, Internal Audit
Allergan
Joshua Torok
Associate Director, Internal Audit
PPD, LLC
April 28-29, 2014
Sara Vandermark
Analytics Senior Manager
Deloitte Financial Advisory
Services LLP
Tweeting about this conference?
14. #ACIFCPA
Predictive analytics can help identify
trends and improper payments
For illustrative purposes only
Inthousands
Vendor payment activity
What-if scenario
Trend Analysis
For illustrative purposes only
15. #ACIFCPA
Usingtext analyticsto identify anomalousexpenses
Analyzing large text data sets and grouping it in clusters of strings by similarity can
help identify abnormal text strings
In this example, upon quick review of the clusters
(each color is one cluster with similar text), a cluster
containing “exotic massage” was identified, and set
apart for further investigation.
For illustrative purposes only