Supercharging Business Intelligence with MDM at Horizon BCBS of New Jersey Presented by: Balaji Krishnamoorthy
Dec 23, 2015
Supercharging Business Intelligence with MDM at Horizon BCBS of New
Jersey
Presented by: Balaji Krishnamoorthy
Biography
Balaji Krishnamoorthy
• Director, Data Strategy & Management• Horizon Health Care Services, NJ• Information Management Strategy and
Architecture (Office of the CTO)
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Balaji Krishnamoorthy- Bio
Balaji Krishnamoorthy has over 18 years of professional software experience in leadership and strategic roles developing leading edge solutions for Fortune 100 clients. He possesses extensive experience working in the areas of MDM, Data Integration, Data Warehousing / BI, Enterprise Architecture and Enterprise Data Architecture.
As Director of Data Strategy and Management at Horizon Healthcare Services, Balaji is a strategic change agent, focusing his business transformation experience and leadership on developing a strong data and information architecture practice. Previously, Balaji worked as a Senior Principal within the Health & Life Sciences Practice within HP's Information Management Services; prior to that, as a Senior Principal at Knightsbridge, a leading business intelligence consultancy that HP acquired in late 2006.
Balaji earned an MS in Software Engineering from the University of Texas, and a BS in Electrical and Electronics from Chennai, India.
He has spoken at the IM Blues Symposium and Data Governance and MDM conferences. He is currently serving on Informatica’s Product Advisory Council for North America.
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Information Technology Infrastructure
Data ArchitectureData ArchitectureStructured
DataUnstructur
ed Data
Data GovernanceData Governance
Data Strategy & Management
The Information Challenge We Face
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DataGovernance
?
Customer Customer ServiceService
Consumerism &Consumerism &Health ExchangesHealth ExchangesComplianceComplianceSalesSales MarketingMarketing
MedicareAdvantage
MedicalClaims
Provider DataManagement
Dental Medicaid
MedicareMedicarePPO/HMOPPO/HMO MedicaidMedicaid
DentalDental
PhysiciansPhysicians
AncillariesAncillaries
HospitalsHospitals
PendedClaims
PendedClaims
IncorrectContact Info
IncorrectContact Info No View of
ConsumerNo View of Consumer
Joseph Braverman, M.D.
Joseph Braverman, M.D. Dr. Joe BravermanDr. Joe BravermanKate Smith
450 Second StreetHMO
Kate Smith450 Second Street
HMO
Katlyn Smith452 2nd St
Newark, NJ-07105PPO 20/150/40
Katlyn Smith452 2nd St
Newark, NJ-07105PPO 20/150/40 Kate Smith
Medicare BKate SmithMedicare B
Portals
[email protected]@email.com
Synthesize & govern data across silos & sources
Example: Provider Business Challenge 1 Support products for new network on public exchanges
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How do we find and recruit par providers for this network?
What is the distribution of specialties in the region?
Which existing members are potential targets and which ex-members are prospects?
Who are our new leads and prospects?
What is the target profile of the prospects?
Network must be established January 2013 and operational October 2013
Horizon must identify participation for offering a new exchange product network
BCBSA may have new mandates for new provider data quality index (PDQi)
Business ChallengeIllustrative Key Business
Questions
Example: Provider Business Challenge 2Support data quality measures like PDQI
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Network— Can we track easily by Network
and who is in the network? — How many providers? — How many members?
Address— Can we establish greater
confidence sending the Golden Address to BCBSA?
Name— Can we have Names that are de-
duplicated across systems, ensuring the Golden Record has the correct spelling?
Phone— Can we differentiate between the
different type of communication methods?
Business Challenge Illustrative Key Business Questions Today, Provider Data File records for
BCBSA are a cumbersome and manual process
At least 70% of audited records must not include critical errors
500 random records are checked by BCBSA
BCBSA keys in on: — Provider and Member Address
errors— Phone Problem errors— Network Affiliation
But this has been hard up to now MDM was designed to fix data issues and speed
business analysis and action
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46% increase in key populated data fields
64% of existing addresses were enhanced leading to better mapping. This includes zip+4 which gives us better targeting, communication and saves us delivery costs. Address is now standardized and cleansed & will be enriched in the future with Enclarity
70% increase in email enhancements and fully centralized for consistent sharing across Horizon
72% increase in phone number enhancements through standardization and completeness
Name is de-duplicated across systems, ensuring the Golden Record has the correct spelling
Example: Member and Provider Business Challenge 3
Address Standardization Returned Mail Study
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10 to 20 % of all business correspondences are returned (some contain addresses within the Penn Plaza building)
Address Standardization and mapping of City to Zip Code is obsolete
Source Systems store address in comment fields that are difficult to decode and use for correspondence
Majority of the addresses do not contain the complete zip and zip4 making it harder to deliver
Members cannot designate their preferred method of correspondence
Business Challenge Illustrative Key Business Questions What is a Quality Standard?
— When All necessary elements are complete and correct Primary Address Number, Pre-
directional, Street Name, Street Suffix, Post-Directional Secondary Identifier, Secondary Number, City, State, ZIP + 4® Code
Fully spell out or abbreviate words using USPS® standard abbreviations
Address Standardization across— Brokers, Groups, Members,
Consumers, Providers, and Employees
— Uniform Contact Types— Primary Method for Contact /
Correspondence
Horizon Business Challenge – at a Glance
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Return Mail Study
Total PiecesSubscriber
UndeliverableProvider
Undeliverable
Subscriber with Horizon
Address
Provider with Horizon
Address
Subscriber with
Corrected Address
Provider with
Corrected Address Checks
Letter forms/Other ID Cards
4848 3859 396 171 72 257 33 12 48 0
79.60% 8.17% 3.53% 1.49% 5.30% 0.68% 0.25% 0.99% 0%
The data to answer address challenges needed data in a consistent, accurate and timely fashion that did not exist. MDM
addresses this.
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Address Cleansing increased by approximately 70% Includes mapping of city to zip
Consolidated Email Addresses for members
50% enhancement of zip codes including zip+4 correctly populated
New data like Geocoding – map Medicare members to their nearest care Management facility and mode of transportation
Address is standardized and cleansed as per USPS Postal Standards
Missing Apt or Suite Number
Incorrect Number
Incorrect Recipient
Missing Number
Missing RR or Box Number
Incorrect Street Name
ACME PRODUCTS4759 WESTERN STNEW YORK NY 10022-5279
CARL SHULER1414 LAKE ST APT CHICAGO IL 60614-1905
CARL SHULER1914 LAKE ST APT 3ACHICAGO IL 60614-1910
CARL BROWN1414 LAKE ST APTCHICAGO IL 60614-1910
CARL SHULER LAKE ST APT 3ACHICAGO IL 60614-1910
CARL SHULERPO BOX CHICAGO IL 60614-1910
CARL SHULER1414 LARK ST APT 3ACHICAGO IL 60614-1910
498
326
234
156 148 147
Mil
lio
ns
of
Pie
ce
s
USPS Undeliverable as Addressed Mail in 2011- This is a
universal problem – not just to Horizon
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Example: Member Business Challenge 4Support data quality that leads to improvements
in our MTM and BEM scores
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Business Challenge Illustrative Key Business Questions Maintain Member Touchpoint
Management (MTM) scores for operational and service program for all branded, core health businesses:
• Enrollment• Claims• Inquiries• Plan Accessibility
NEW! Support improving new Blue Experience Metric (BEM) scores
• Member experience and engagement• Network access• Education
Navigation• Customer Service• Claim Payment
What baseline addresses should be used for Enrollment Member Accuracy measurements?
How are the scores across cohorts consistent across time?
How do I achieve enrollment timeliness which includes ID card management?
FDP and LDP (First, Last – Day Processing metrics are affected by US mail contacts e.g. Benefit Booklets. How do I ensure my communications are getting through in a timely way?
How can I validate and manage some of the MTM “audited” fields
Example Business Challenge: How do you enable Member Touch point Measures (MTM) and Blue Experience Measures (BEM) for
Member?Where is Horizon’s 360o view?
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The MDM Value Proposition
• Data Fragmentation– Problem: Master data is fragmented across multiple systems vertically & horizontally– MDM: Bring together data from multiple systems and build whole records and data sets
using match & merge
• Data Duplication– Problem: Same Master data attributes exist in multiple systems, leading to data divergence
(DOB: System A = 6/1/80, System B = 1/6/80)– MDM: Pick “best” value, based on trust scores
• Data Quality– Problem: As with all data, Master data quality deteriorates over time– MDM: Pre-cleanse and standardize data (e.g. gender )
• Single Source of Truth– Problem: Multiple systems have “slices of truth” with inconsistent data quality and
standardization– MDM: Bring together and present “single source of truth” for consumption by users and
systems
• Bridging the Gap– Problem: “Vertical” systems don’t bridge well across Members, Providers, Products,
Customers, Employees etc.– MDM: Provide visibility across multiple data domains (e.g. providers that are also members)
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MDM Data Quality Enhancements Benefits
SSN or TIN
Address
Name
Phone
Date of Birth
Gender
SSN or TIN is standardized based on Federal Standards
Address is standardized based on USPS Standards
Name is standardized based on Data Governance Policies
Phone is standardized based on Data Governance Policies
Email is standardized based on Data Governance Policies
Date of Birth is standardized based on Data Governance Policies
Gender is standardized based on Data Governance Policies
Indicators and Cleansing Rule ExamplesKPIs
WIP
WIP
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ACCURACY• Information should be highly accurate with regards to regulatory and operational standards WIP
MDM Implementation Data Statistics: Member and provider consolidated, standardized and
cleansed across all lines of business and market segments, email addresses centralized
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MDM Provider Data Statistics: Identifying Par and Non-Par Provider across lines of
business and market segments; Par and Non-Par Provider by networks
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MDM Member Data Statistics: Identifying Members across multiple line of business will
enable us to track them across products and market segments when MDM includes Group and Plan data in
Phase 2 – a key requirement of Health Care Reform and Exchanges
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MDM Provider - Exclusion Statistics: Provider /Practitioners Omitted from MDM Based on Exclusion Rules by Source System
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Horizon Solution: Multi-Domain MDM Hub as a Solution
Disparate Data Reliably Resolved
DataGovernance
Customer Customer ServiceService
Consumerism &Consumerism &Health ExchangesHealth Exchanges
ComplianceComplianceSalesSales MarketingMarketing
Medicare AdvantageMedical
ClaimsProvider Data Management
DentalMedicaid
Joseph Braverman, M.D.
Joseph Braverman, M.D.
Portals
ProviderProvider CustomerCustomer EmployeeEmployee MemberMember ProductProduct
Enterprise Master Data Hub
Broker
Broker …… ICD-10ICD-10
Kate Smith452 Second
Street,Newark, NJ-
07105
Kate Smith452 Second
Street,Newark, NJ-
07105
Pri: Medicare BSec: PPO 20/150/40
Pri: Medicare BSec: PPO 20/150/40
3rd Party Organization
Industry Benchmarks – Direct ROI for MDM Implementation
ROI Impact Item P&L Impact Industry Benchmark Improvement
Reduced Data Management Costs IT Costs (Opex) 10%
Reduced Costs of Reporting through Automation
General Administration Costs
15%
Reduced costs in Managing Data Completeness
IT Costs (Opex) 10%
Reduced costs of Regulatory Non-Compliance
Opex 5%
Reduced Marketing Reach Costs Sales & Marketing Costs
12%
Reduced Costs through enhanced efficiency in management of Business Processes like Claims Adjudication, Member Eligibility, Contracts Management, Provider Management, Network Management etc.
Cost of Revenue 5-10% for various Business Processes
Increased Cross Sell/Up Sell Revenue 5%
Increased New Member Enrollment Revenue 5%
Increase in Amount of Insurance Premium Collected
Revenue 2%
Increase in Share of Wallet and Margins Profit 5%
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Horizon is part of a leading trend in advanced information management
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Top Master Data management Trends & Challenges that have emerged over the last 2 years* are:
By 2013, 30% of the total companies implementing MDM programs may run into challenges due to insufficient MDM Strategy
By 2014, 66 percent of Fortune 1000 organizations will have deployed two or more MDM solutions to support their enterprise MDM strategies
Top Trends in the Global Information Management Space
* Source - Gartner, MDM institute
TransactionsInteractions
Member Information Products & Benefits
– Basic– Preferences– Extended– Prospect/Lead– Broker– Health Risk– PHR– Provider, PCP– Alternate Programs (e.g., ACO, etc.)– COB & other Ins.
Data
– Service Requests– Messages– Care Messages– Correspondence– Payment– Member Provider Interactions
Interaction Data
– Product– Benefit– Renewal– Ancillary Product– Wellness & Disease– HSA/FSA/HRA
Data
– Claims– Pre-Cert & Pre Authorizations– Care Management– Appeals & Grievances– Billing– Delegate Partner Data– EOB
Interaction Data
Enabling the Consumer 360°Using Multi Domain MDM
Consumer 3600 View - Data ElementsIntegrating customer related data from internal and external sources is a key enabler with MDM