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Brief History. The Utah Department of Workforce Services was formed July 1, 1997.Department of Employment Security (Job Service)Office of Job Training (JTPA)Turning Point Program (Displaced Homemakers)Office of Family Support (Welfare Programs)Office of Child Care . How it works.. State is d
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1. Utah’s eFind
2. Brief History The Utah Department of Workforce Services was formed July 1, 1997.
Department of Employment Security (Job Service)
Office of Job Training (JTPA)
Turning Point Program (Displaced Homemakers)
Office of Family Support (Welfare Programs)
Office of Child Care
3. How it works. State is divided into 5 regions.
State administered, region operated.
48 “One Stops” (Employment Centers) across the state.
4. Why eFind In FFY’s 1999 and 2000, Utah’s Food Stamp Program was sanctioned.
One point of the FS reinvestment plan was to build a data brokering system (eFind).
Eligibility Workers had been asking for a data brokering system for years…..now there was money to pay for it!!
5. Goals of eFind Improve Accuracy and Timeliness across the board
Improve the Business Process of Searching Alternate Systems for Pertinent Information
6. eFind: What is it? eFind is a single web application that provides eligibility workers with intelligent, filtered, well organized information (such as wage, unemployment insurance, child support enforcement and Social Security data) from many different sources for the purpose of determining eligibility for a variety of public assistance programs.
7. Typical Process Under the “Old” Systemto Search for this Information… Multiple Systems needed to be searched
For EVERY System:
Unique username and password routine for each system
Find every individual family member, one at a time
“Print Screen” to capture information out of multiple systems
Attempt to manually connect bits of information that you think might be related
Come up with potential aliases, address combinations and histories, guess at family composition
8. Working Against Ourselves Continually adding new data sources to search
Increasing the learning curve for eligibility workers
New technology actually adds to the problem
9. Systemic Problems in Data Gathering and Matching Overabundance of information was cumbersome, and not acted upon
FS QC was given the time, and found the errors
Efficiency and accuracy of the eligibility worker was based on experience
Time constraints forced workers to cut corners
Precious little time for a thorough search
The more difficult a system was to learn, the less likely it was to be utilized
10. eFind’s Primary Targets: Alleviate the burden of learning and extracting information from multiple, non-standard systems
Eliminate the need to make hard copy comparisons among potentially related pieces of information, such as:
Alias names and name changes
Address changes and histories
Changes in household composition
11. The “Fine Art” of Identifying Relevant Information Automatically Ties Together data from disconnected systems
Valuing vehicles
Vehicle matching
Codifies “Best Practices” by making everybody an instant expert on searching all systems
Motor vehicle assets
Undeclared Income
Sanctions
etc
12. Data Sources Data source agreements were put in place with many of our data share partners.
Federal Data:
Social Security
Verifying SSN
Title II / Medicare income data
SSI information
Income data from SSA
DRS: Federal Disqualified Food Stamp Recipient File
National Directory of New Hires
PARIS
13. Data Sources State sources:
Wage: wages as reported to state unemployment agency
LIHEAP: Low Income Heat Energy Assistance Program
UI: unemployment insurance / compensation information
TANF & FS: E & T participation case management system
Worker’s Comp: Information from State Labor Commission
IV D: Child Support Enforcement
Income
Deductions
Non-cooperation
Sanction and Disqualification information
State Motor Vehicles
State Driver License Division
14. Data Sources Other Sources:
Local Housing Authorities
Motor Vehicle Valuations (NADA)
Address Repository
SAVE (Alien Verification)
Most Recent Enhancement:
Vital Statistics
15. The technical stuff….. eFind was built using J2EE technology (Java code)
Application server: Sun 480 – 2CPU (16GB) Oracle 10g
Warehouse server: Sun 4800 – 4CPU (holds an Oracle database)
Operating system is Unix.
Thin-client browser based
Web browser only requirement for users
Easy to maintain
17. Implementation eFind went into production in January of 2004
Training was rolled out to workers using computer simulations of eFind
Help screens are available on each screen
Full audit trail and confidentiality were stressed to staff. Information must be acted on
Over time access to sources via Mainframe was eliminated
eFind is constantly evolving
18. System Performance and Scalability Fast performance
Average full search takes 5-15 seconds
Currently averaging 7-8 searches per minute
2,200 searches per day
One search includes multiple data sources, multiple individuals
Capable of processing 25-30 searches per minute
Easily manage 100,000+ searches per month
19. Security and Accessibility eFind is configured for secure communications
User’s are required to register for eFind use
User ID and password used for authentication
eFind can be securely accessed from home or any location with Web access
Ensures access on a “Need To Know” basis only
Can’t search on general public – only on DWS customers
Creates a full audit trail
20. End-User Acceptance eFind has been well received by user community
Incorporated “Best Practices” into the system
Easy-to-find, relevant information
Saves users a lot of time
“17 minutes down to 3 minutes”
That’s on a full search (70% of searches are full, performed on all applications and recertifications)
Helps to standardize decision making across all regions
Reduces probability of errors
21. Return on Investment to Utah eFind cost $2 million to build
$750K from FNS Reinvestment money
$1.25 million across Financial, Child Care, and Medicaid
Utah expects to save $2.1 million per year*
Workers can manage a higher caseload, rather than hire additional staff
eFind paid for itself in the first year!
22. Short Guided Tour
23. eFind is a concept eFind is not a software program
A State can take the idea and tailor it to their needs
Data brokering is a simple concept
Code
Screens
‘Get’ Beans
‘Marshall’ Beans
Warehouse
25. Questions?
26. Contact Information Rachael Stewart
eFind Program Specialist
Utah Department of Workforce Services
140 E. 300 S.
SLC, UT 84111
801-526-9257
rachaelstewart@utah.gov