Title: Empowered Information Systems Claim Analyzer
1Empowered Information SystemsClaim Analyzer
- Empowered Information Systems
- info_at_empoweredinformationsystems.com
- www.empoweredinformationsystems.com
2Analysis Process using Data Warehouse
- Data Warehouse is a repository to store business
information and structured to - Facilitate fast retrieval of consistent standard
and ad hoc reports - Apply enterprise or customized business rules
that cannot be applied to source systems - Conform data structures to enable enterprise to
adapt to future business changes
3Analysis Process using Data Warehouse (cont)
State Systems
Vendor Apps
Other Sources
Load database Operational Data Store
Presentation Database
Analyses/ Reports
Data Sources
Extract, Transform, Load (ETL) and Analysis
Processes
Load and Transform Data, Apply Business Rules
Explore and Discover
Spent 40-60 of the project resources
Ad hoc reports provide 50-80 of data discovery
4Cycle of the Data Analysis Process
- In todays information age where vast amounts of
raw data are being captured everyday, the
challenge is to process the data as fast as
possible and transform it into actionable
information.
5The Audit Process - Claim Analysis Context
Work Plan
Planning1
Data Collection Analysis
OARS
Claim Analysis
Survey1
OARS
Survey Result
Claims
AFCARS
Services
Eligibility
MOA
Data Collection Analysis1
Physical
Analytical
Reporting1
Work Plan
Findings
OARS
1Source The Audit Process, January 2005, Office
of Inspector General.
6Challenges of Claim Analysis
- Business intelligence solutions are costly, may
only address the 40-60 ETL workload, and
impractical when used only in a single unique
project. - Understanding business edits and transformations
are getting harder and more complex to recreate
without consuming significant amount of resources
and time. - Random sampling in use may result only in
penetrating 5-20 of the total data patterns. - Vast amounts of information and data to process
(i.e. millions of records) given a short period
of time can be taxing and increases pressure on
the analyst. - Analysts may have limited IT resources needed to
perform comprehensive analysis. - Technology advancement is based on what is
available in the current market that may not
necessarily be effective (i.e. soundex matching
algorithm).
7Preview
8Define Your Data Leave Technical Coding to
Claim Analyzer
- Define only your claim information including
claim identity, facts, and other business
information - You only need to worry about your data
- No programming! The Claim Analyzer does the
programming for you!
9Click And Run - Simple Yet Efficient, Elegant Yet
Effective
- With just a simple click, a whole new business
intelligence and data warehousing processes is
automatically built and run for the user - Set-up and run in hours, not in days
- Unleash the power of information technology and
let it work for you-- doing the analysis against
millions of records
10Our teams previous combined experience in
healthcare billing for different state agencies
- These systems generated hundreds of millions of
dollars of paid claims for different states that
passed federal and state audits. - Some of these systems were used as base systems
on other state projects and in turn, generated
millions of dollars of paid claims.
11EIS Team Credential
- Combined team IT Experience 40 years
- Medicaid/Medicare Data Analysis Experience 7
yrs - Medicaid/Medicare Data Volume 300GB or approx
20M claim/service/eligibility records per
quarter - Number of state billing/data warehousing/claiming
systems designed 10 - Minimum amount of paid claims generated for a
single system 4M - Systems estimated total data value 1.8B
- System estimated total claims value that passed
federal/state audit 300M - Derived systems (School/TCM/IV-E) that passed
federal/state audit 200M - Number of States Served 10
- Team certifications MCP/MCSD/MCAD/MCTS
12Quick Recap
13Summary
- Lead new effective ways to perform claim analysis
and not just simple random sampling with unsure
results - Accomplish more with less with intuitive screens
and Empowered Information Systems (EIS) data
analysis technologies. - Control and minimize audit risk using the
powerful proprietary EIS technologies including
EIS Phoenix Data Match Technology. - Find assistance in writing report using high
level analysis reports, integrated analysis
reports and more. - Find conditions and understand the cause quickly
and easily either using high level views or
detailed record level analysis. - Perform the analysis and set to run just in
hours, not in days. - Analyze millions of not just claims, but services
and eligibility information for comprehensive and
integrated analysis. - Designed to process millions of records using a
decent workstation resources instead of spending
multi-million dollars in state-of-the-art
multiple CPU servers.
14Top 5 Business Benefits
- Increased Productivity. It enables user to
perform the analysis on the fly. - Reduced Cost. Data are analyzed without
consuming large part of the IT budget. - Better Communication. With detailed analysis
report, users can see all the information
pertinent to the claim. - Improved analysis service. Performing integrated
analysis provides wider range of coverage. - Streamlined analysis process. Seeing the holistic
view can substantially assist in understanding
areas that require more advance analysis.
15Thank you!
- Comments, suggestions, and/or questions, please
send to - Attention Product Manager
- Info_at_empoweredinformationsystems.com
- Empowered Information Systems