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Data Mining Solution 1 Using Data Mining Analytics to Support Fraud Detection in CalWORKs Stage 1 Child Care.

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Presentation on theme: "Data Mining Solution 1 Using Data Mining Analytics to Support Fraud Detection in CalWORKs Stage 1 Child Care."— Presentation transcript:

1 Data Mining Solution 1 Using Data Mining Analytics to Support Fraud Detection in CalWORKs Stage 1 Child Care

2 2 Data mining is a reiterative process of selecting, exploring and modeling large amounts of data to identify meaningful, logical patterns and relationships among key variables. Source: Data Mining 101: How to Reveal New Insights in Existing Data to Improve Performance Insights from a webinar in the SAS Applying Business Analytics Series Originally broadcast in June 2010 Data Mining Technology

3 3 DPSS’ Data Mining Solution (DMS) is a computer application that employs pattern detection and predictive analytics to detect and prevent fraud in public assistance programs, such as our CalWORKs Stage 1 Child Care Program.  A Board Motion introduced by Supervisor Antonovich on May 29, 2007, provided the Department of Public Social Services (DPSS) the vision to utilize cutting edge technology, such as data mining and predictive analytics, to ensure and maintain the integrity of the County's public assistance programs.  A successful pilot was completed in 2008 which evaluated the effectiveness of using data mining technology to detect potential fraud in the CalWORKs Stage 1 Child Care Program.  The DMS Agreement was approved by the Board on December 22, 2009, for SAS Institute Inc. (SAS) to design, develop and implement the data mining technology for Los Angeles County to target fraud in the CalWORKs Stage 1 Child Care Program.  The DMS Application was implemented on May 2011 by DPSS to target fraud in the CalWORKs Stage 1 Child Care Program.  The Board Approved an Amendment to the DMS Agreement on May 15, 2012 to extend the data mining technology to In-Home Supportive Services (IHSS) Program. Project Background

4 DMS Application is hosted in Cary, North Carolina by SAS OnDemand  The SAS Fraud Framework tracks: CalWORKs Stage I Child Care Participants with children requesting assistance from the County; Providers that care for children while the parent or guardian go to work or school; and Employers on record providing employment for the participants who attempt to defraud the County of Los Angeles by obtaining payment for falsified services.  Using state of the art data mining techniques the DMS application: Prioritizes referrals from Alternate Payment Program agencies (APPs) Consolidates data for investigations Shows networks among providers and participants Streamlines / optimizes searching of County data sources Capable of integrating with existing workflow and case management systems  Displays results using the advanced visualization application  Uses statistically designed risk measures to predict collusion activities 4 Project Objectives and Key Milestones

5 5 Data Preparation Efforts Historical data from 2001 to Present Data was (cleaned/matched/consolidated/geocoded) monthly from DPSS and external data sources to generate dozens of variables for data mining models including: Data Focus: Participant and Provider CalWORKs Stage 1 Child Care –Child care utilization, request and provider files –Welfare-to-Work activity tables from the GEARS system –Child care licensing files –LEADER Case and Individual tables for participant records Data includes known cases of fraud and alleged fraud –LEADER Fraud cluster tables to identify participants referred/prosecuted for Child Care and other fraud types External Data Sources –State employment, employer and Income& Eligibility Verification System (IEVS) & New Hire (NHR) files –Dun and Bradstreet employment file –In-Home Supportive Services (IHSS) participant and provider files Project Data Sources

6 6 Risk Assessment  Rules/Pattern Recognition  Anomaly Detection  Predictive Model  Hot List - (e.g., Providers & Employers with known fraudulent activity)  Social Network Linkages Operational Outcome  Prioritized by Alert score  Monthly High Risk Report  Drill-down into case detail  Further drill-down into Alert detail  Launch into other ad-hoc analyses Alert Score  Base score  Plus or minus depending on value of components Anomaly Detection

7 7 Triage View  High risk Alerts are generated based on the comparisons between CalWORKs Stage 1 Child Care cases and the typical profile of fraudulent CalWORKs cases  Designated Triage Workers (DTWs) are assigned to conduct comprehensive case reviews based on these Alerts  Referrals are initiated to Welfare Fraud Prevention & Investigations (WFP&I) Section  Case action reviews result in one or more of the following outcomes: termination of benefits, overpayments, reduction in benefits, share of cost and/or fraud referral Investigator View  DMS provides tools and the capability to the DPSS WFP&I team to assist in their detection, prevention, and investigation of fraud in the CalWORKs Stage 1 Child Care Program  The Social Network Analysis allows WFP&I to identify suspicious cases for preliminary earlier investigation  Provide access to participant’s 10-year historical data across Programs Utilization Process

8 LA County Fraud Framework – DMS 8 Log On Page

9 CASE VIEW SELECTION Case View Select

10 Triage View

11 Investigator View

12 12 User Interface Participant Details The Participant Detail pane provides a quick view at the participant case record information related to residential address, family members, providers, employment, source income and benefits and prior welfare fraud historical records. Participant Detail Page

13 Timeline Graph Timeline Tab The Timeline tab is a graphic representation of the data from the Provider, Address, Employment, Component, Income and Benefits, and DPSS Actions tabs This graph provides a brief, color-coded view of each data source, as well as a quick method for seeing when each event occurred.

14 Street Map View 14 Social Network Map View

15 Relationship Tree The Relationship Tree tab shows a participant’s family, household members, and other relatives. Users can adjust the time slider to view the tree over time.

16 Risk Assessment Risk Assessment tab contains a list of key fraud indicators for a participant. The tab contains two parts: the Predictive Model section and the Triggers section.

17 Social Network Analysis 17 The Social Network Analysis provides a graphical view of the Participant case record centered on the graph with all the connections within the database of other Participants, Providers, Employment activities and Phone Number connections to the CalWORKs Stage 1 Child Care Participant. Social Network Example Legend

18 Participant Detail Summary Report in PDF Format 18 PDF Summary Report 18

19 19 Holistic Approach to Program Integrity From May 2011 through July 2013, the following actions were initiated: * 28 Cases have been referred to the District Attorney for felony prosecution * 405 DMS fraud referrals initiated for investigation Triage-Initiated: 311 WFP&I-Initiated: 94 * 753 Referrals to DPSS case workers for follow up action resulting in: Fraud referrals for reasons other than child care fraud Denial/Termination/Reduction of various public assistance benefits Overpayments


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