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22nd Annual Health Sciences Tax Conference The evolving value chain in life sciences December 4, 2012
The evolving value chain in life sciences Page 2
Disclaimer
► Any US tax advice contained herein was not intended or written to be used, and cannot be used, for the purpose of avoiding penalties that may be imposed under the Internal Revenue Code or applicable state or local tax law provisions.
The evolving value chain in life sciences Page 3
Disclaimer
Ernst & Young refers to the global organization of member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young LLP is a client-serving member firm of Ernst & Young Global Limited operating in the US. For more information about our organization, please visit www.ey.com. This presentation is © 2012 Ernst & Young LLP. All rights reserved. No part of this document may be reproduced, transmitted or otherwise distributed in any form or by any means, electronic or mechanical, including by photocopying, facsimile transmission, recording, rekeying, or using any information storage and retrieval system, without written permission from Ernst & Young LLP. Any reproduction, transmission or distribution of this form or any of the material herein is prohibited and is in violation of US and international law. Ernst & Young LLP expressly disclaims any liability in connection with use of this presentation or its contents by any third party. Views expressed in this presentation are not necessarily those of Ernst & Young LLP.
The evolving value chain in life sciences Page 4
Presenters
► Peter Anderson Ernst & Young LLP New York, NY +1 212 773 3720 [email protected]
► Sanjeev Wadhwa Ernst & Young LLP Iselin, NJ +1 732 516 4183 [email protected]
► Jeff Holtz Johnson & Johnson New Brunswick, NJ
► Karen Holden
Ernst & Young LLP New York, NY +1 212 773 5421 [email protected]
The evolving value chain in life sciences Page 5
Agenda
► Supply/value chain hot topics for today and tomorrow
► Center-led principal and value-added services structures
► Supply chain best practices ► Using strategic business processes to impact performance ► Inventory and working-capital management ► Governance and compliance
► Industry trends and drivers ► Collaborations
The evolving value chain in life sciences Page 6
Key challenges for the pharmaceutical (pharma) and life sciences industry
Supply side challenges Demand side challenges Challenges to meet
for investments across the supply and
value chain
► Adapting business strategy to the new mix of: ► Generic competition ► Cultures and tastes
► Ensuring business
processes and assets match market needs ► Emerging market focus ► Brands across markets
► Meeting changing patterns
of consumer demand in line with new key markets
► Competition and price pressures (open markets)
► Cost reduction essential to
compete and be profitable
► Supply side rationalization a
critical success factor ► Procurement, e.g., rationalize
suppliers ► Intellectual property (IP)
management strategy across multiple brands
► Regulatory environment
Demand side Supply side
Marketing; research and development
(R&D)
Supply chain manufacturing
operations
Sales activities Sourcing activities
Direct sales
Wholesale Retail Suppliers Logistics
The evolving value chain in life sciences Page 7
Meeting the challenges — examples of supply and demand side rationalization strategies
Adapting business models to the new outcomes-based, patient-centric world
Opportunities across the supply chain
Reduce spend
Leveraging purchasing skills, rationalizing suppliers
Supply chain rationalization Lean manufacturing processes
Logistics management Inventory/capacity management
Protect and develop brands
Coordinated IP management and brand development strategy
Management of issues re generics
Suppliers
Internal supply chain processes
End users
Active pharmaceutical ingredient (API) Other materials
Inactive ingredients
Finished goods
Procurement
Operations: ► Manufacturing/services provision ► R&D and IP management ► Clinical trial processes and management
Sales
Centralization of services and risk m
anagement
Center-led principal and value-added services for pharma and life sciences
The evolving value chain in life sciences Page 9
Centralized business models implemented for pharma and life sciences companies
Centralization can be achieved in: Key decision variables:
► Key functions ► Transaction flows (hub) ► Product groups ► Assets such as IP
► What degree of change can be implemented? ► Where do the key opportunities exist? ► What are the potential benefits? ► Are the benefits realistically achievable?
Supply chain management
company
Full principal with IP
Sales and marketing principal
Import and export company
Sourcing company
Service company
Ben
efit
Business impact
High
Medium
Low
The evolving value chain in life sciences Page 10
Deliver goods
Warehousing services
Ownership of material Invoice
Contract manufacturer
Legal title Physical flow
Services Material rel. invoice
Invoice
Ownership of products
Limited risk distributor
Deliver goods
Product sales and services
Invoice
Ownership of products
Invoice
Profit Profit
Full principal model for global pharma and life science companies
Customers Suppliers
IP principal
Centralized warehouse (inventory of principal)
The evolving value chain in life sciences Page 11
The center-led principal (CLP) alternative
Business issue Business drivers
No overall estimated realization percentage (ERP) system
► CLP can mitigate ERP issues
Deductibility and withholding tax (WHT)
► Unbundled services and royalties may mitigate these issues
Indirect tax and customs duty
► No change in product flows/pricing
► Limited value-added tax/customs impact
Center-led principal
CLP provides:
► Routine services
► Non-routine services
► IP
Local sales entities
Bundled or unbundled services, IP
► Value-based fees for value-added services
► Management fees for routine services
► Royalties for IP
The evolving value chain in life sciences Page 12
The value-added services model within CLP
It is essential that the CLP has full control over the risks it assumes, substance behind the functions it performs and the financial capacity to withstand the risks it contractually bears.
► Allocation of risks to the CLP must be substantive in nature.
► The substance follows control and financial capacity to bear the risks.
Control — capacity to make decisions to take on the risk (decision to put the capital at risk) and decisions on whether and how to manage the risk, internally or using an external provider
► Requires company to have employees with authority to perform control functions
► Not required to perform day-to-day activities but must be able to assess outcomes
Financial capacity — capital and liquidity position should be held as per that which an independent entity would require to be able to bear and withstand the risks allocated to it
► Requires company to hold sufficient of capital and liquid assets to bear risks
► Can be arranged via financial guarantees and other means as long as arm’s-length principle is applied to transactions
Consequence: party controlling risk should be compensated by an increase in expected return.
The evolving value chain in life sciences Page 13
Foreign base company services income (Sec. 954(e))
► The foreign base company services income rules apply to treat services income as Subpart F income when a Controlled Foreign Corporation (CFC) performs services for, or on behalf of, a related person and performs those services outside its country of incorporation.
► When the CFC receives substantial assistance from related US persons, service income will be Subpart F, regardless of where earned. ► Under Notice 2007-13, this rule applies only when the cost to the
CFC of the assistance provided equals or exceeds 80% of the total cost to the CFC of performing the services.
► The rule does not apply to assistance from other CFCs.
The evolving value chain in life sciences Page 14
Foreign base company services income (Sec. 954(e)) ► Place of performance is a factual issue. ► Watch for foreign base company sales vs services
income. ► Service income related to the purchase and sale of property from
or to related parties may be characterized as foreign base company sales income (see Treas. Reg. Sec. 1.954-1(e)(1)). ► Substantial contribution rules come into play.
► Certain transactions may be treated separately. ► For example, a CFC manufactures and sells property to a related party
and also provides installation and warranty services. ► In general, the CFC will be viewed as earning separate sales and services
income. ► Compare the predominate character rule (Rev. Rul. 86-155).
The evolving value chain in life sciences Page 15
Foreign base company services income (Sec. 954(e)) ► There is no branch rule of foreign base company services
income. ► Thus, services provided between and among disregarded entities
will not be Subpart F.
The evolving value chain in life sciences Page 16
Overall risks and benefits — incremental value-added services vs CLP
CLP with value-added service
CLP with profit split CLP with full residual
Bundled or split return Split (per service) Bundled Bundled
Expected risk of challenge Medium risk Medium risk High risk
Implementation difficulty Low difficulty Medium difficulty Medium difficulty
Expected benefits Medium benefits Medium benefits High benefits
Substance shift to center Low to medium shift Medium shift High shift
The overall risks and benefits vary based on several factors.
► Various types of return structure are applicable for a CLP providing value-added services.
► Payments may be bundled or split.
Initial conclusions
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Bundled or separate payments? WHT considerations in Asia ► Services fees do not always attract WHT in Asia-Pacific.
► For technical services fees, WHT generally applies if the services are sourced or performed in the local country. ► Payments may avoid WHT if:
► The payments are characterized as technical services fees and rules are based on the rule detailed above. ► The services are not deemed to be sourced in the local country.
► Note that this general rule does not always apply — full WHT applies on technical services regardless of source in some cases.
► Under a single payment, many Asia-Pacific authorities deem such payments to be royalties: ► Technical service fee characterization may be challenged in favour of a royalty if former does not attract WHT. ► If the payment is a single payment and IP or know-how is deemed included, then such challenges are frequent. ► Examples include India, Korea, Hong Kong, Indonesia, China, Japan, Thailand and others. ► Note: technical services fees are shown at non-treaty rates.
SG Treaty WHT rates CN IN JP KR AU NZ ID TH MY SA
Royalties 10% 10% 10% 15% 10% 5% 15% 15% 8% 5%
Dividends 10% 0% 15% 15% 15% 15% 10% 10% 0% 10%
Interest 10% 15% 10% 10% 10% 10% 10% 15% 10% 0%
Technical services 25% 10% 20% 20% 0% 15% 20% 15% 10% 0%
Source: Ernst & Young Worldwide corporate tax guide and the relevant tax treaties
The evolving value chain in life sciences Page 18
Bundled or separate payments? WHT considerations in Latin America ► Services fees do not always attract WHT in Latin America (Latam):
► WHT in Latam countries depends on the nature of the service. Each country has a definition for each type of service (i.e., royalties, technical assistance, management fees).
► Management fees and general services ► WHT generally applies if the services are sourced or performed in the local country. ► Payments may avoid WHT if the services are not deemed to be sourced in the local country.
► Technical services are typically subject to withholding taxes regardless of where they are performed.
► Under a single payment, many Latam authorities deem such payments to be subject to the higher withholding taxes: ► Service fee characterization may be challenged in favor of a royalty or other category if the former does not
attract WHT. ► If IP or know-how is deemed included, then royalty classification is likely.
Brazil Mexico Argentina Colombia Venezuela Chile Peru Panama
Royalties 15% 30% 28% 33% 30.6% 30% 30% 12.5%
Dividends None None None or 35% None or 33% None or 34% 35% 4.10% 5%
Interest 15% 30% 35% 33% 32.30% 35% 30% 12.50%
Technical services 15% 25% 31.5% 33% 10.2% 20% 15% 12.50%
Source: EY Worldwide corporate tax guide. General rates under domestic law.
The evolving value chain in life sciences Page 19
The value added services solution
► Potential solution: ► Divide the payment into several
component parts, including: ► Routine management
services fee ► Value-added services fee ► Royalties on IP in the event
that any rights on valuable IP are granted to the sales companies
► Deductibility and transfer pricing challenges easier to manage: ► Multiple payments linked to
specific services and IP ► Easier to defend using
benchmarks
Routine services
Value-added services
Intellectual property
Full residual prof its
Commercial risks and dif f iculty in implementation
Expected incremental
prof its
► Value added services are a newer concept but are frequently applied.
The evolving value chain in life sciences Page 20
Types of value-added services for life sciences/pharma companies 1. Services to API manufacturer Product testing services ► Comparable uncontrolled price (CUP) or controlled
price method (CPM) search for similar service providers
Plant/production plan layout/design ► CUP or CPM search for design service providers
Centralized procurement services ► CUP or CPM search for procurement companies
Quality processes ► CUP or CPM search for quality service providers
2. Services to API local market life sciences/pharma sales Request for proposal support services ► CUP or CPM search for marketing services
Warranty support services ► CUP or CPM search for warranty insurers
Database creation ► CUP or CPM search for IT service providers
Demand planning and inventory management ► CUP or CPM search for Supply Chain Management (SCM) service providers
3. Services to drug R&D entities Clinical trials project management/technical support ► CUP or CPM search for similar at-risk service prov.
Drug R&D strategy and development services ► CUP or CPM search for similar at-risk service prov.
Strategic business processes
The evolving value chain in life sciences Page 22
Using strategic business processes to impact operating performance
► Sales and operations planning (S&OP) ► Principal governance
The evolving value chain in life sciences Page 23
Using strategic business processes to impact operating performance
► Sales and operations planning (S&OP): ► As part of supply chain redesign, many companies are looking at
this key business process to drive significant improvements in planning and forecast accuracy and to sustain governance and compliance structure. ► S&OP processes support substantial contribution.
► The governance and compliance process can be designed within the S&OP framework. ► Process should monitor that the principal is “living the structure.” ► Process should create documentation for future tax authority review.
The evolving value chain in life sciences Page 24
What is sales and operations planning (S&OP)?
► S&OP has a vast array of definitions: ► “an integrated business management process developed in the 1980s by Oliver
Wight through which the executive/leadership team continually achieves focus, alignment and synchronization among all functions of the organization”
Wikipedia, the free encyclopedia
► “a set of decision-making processes to balance demand and supply, to integrate financial planning and operational planning, and to link high level strategic plans with day-to-day operations”
Tom Wallace, S&OP 101 ► the “function of setting the overall level of manufacturing output and other activities
to best satisfy the current planned levels of sales, while meeting general business objectives of profitability, productivity, competitive customer lead times, etc., as expressed in the overall business plan”
APICS The Association for Operations Management
The evolving value chain in life sciences Page 25
Substantial contribution and S&OP
► Oversight of manufacturing processes ► S&OP process ► Formulate policy internal and external manufacturers
Indicia of manufacturing Potential activities carried out by principal
Activities that are considered in, but are insufficient to satisfy, the substantial transformation
Material selection, vendor selection or control of raw materials, work-in-process or finished goods
Management manufacturing costs or capacities
Control of manufacturing-related logistics
Quality control
Developing, or directing the use or development of, product design and design specifications, as well as trade secrets, technology or other intellectual property for the purpose of manufacturing or producing the product
Oversight and direction of the activities or process under which the product is manufactured
► Ownership of inventory
► Manage supplier risk (capacity, obsolescence) ► Determine supplier capacity and continuity
► Identify and manage cost-improvement initiatives ► Cost reduction (e.g., inventory reduction, price reduction)
► Direct the planning and production schedules for internal and external manufacturing
► Monitor production orders, schedules and output to ensure products are manufactured and scheduled delivery dates are met
1
2
3
4
5
6
7
► Evaluate quality systems and share best practices ► Negotiate quality agreements ► Ultimate quality responsibility
► IP ownership ► Develop technology transfer process for new product introductions ► Transition design or process changes to external partners ► Partner with partners on supply chain development initiatives
► Finish and fill ► Sterilization
The evolving value chain in life sciences Page 26
Effective S&OP aligns objectives
S&OP supports the organization by balancing goals across markets, plant operations, supply chain and finance.
Finance
Product availability
Promotional plans
Customer opportunities
Competitor actions
Portfolio management
Annual plan/budget Revenue plan
Operating income/profit plan Capital investment plan
Wall Street guidance
Make-vs- buy decisions Short- and long- term capacity management Product lifecycle management Inventory management Network optimization
The evolving value chain in life sciences Page 27
Why does S&OP fail?
► Companies are organized and typically work in silos, but planning needs to be executed horizontally.
► S&OP is viewed as a supply chain process instead of a fully integrated, enterprise-wide planning process.
► Financial, sales, marketing and operations plans rarely match. ► Organization structure does not support effective S&OP. ► Processes are not focused on the right elements; people are not
doing the right things the right way. ► Executive sponsorship is inadequate.
A lack of management support and leadership is the most common reason for implementation failures.
The evolving value chain in life sciences Page 28
Activity Month 1 Month 2 Month 3 Demand
review and exception process Supply review
process Integrated
reconciliation meeting
MBR meeting
EBR meeting
Month 1 Month 2 Month 3
Weekly view
Process
Meeting
S&OP process cadence
The evolving value chain in life sciences Page 29
Principal governance and compliance
► Use of a performance management framework to review operational performance
► Establishes principal oversight of manufacturing and markets
► Monitors that the principal is “living the structure” ► Creates documentation for future tax authority review
The evolving value chain in life sciences Page 30
Operational metrics are used by principal companies to monitor the performance of manufacturing sites and markets. Metrics should be reliable and action oriented.
Operational metrics
Centrally reported metrics
Critical operational metric was identified that measures key business process performance.
Operational focused metrics
identified
Metrics reviewed with stakeholders Operational focused metrics were reviewed
with stakeholders to determine validity.
Metrics were reviewed and operational focused metrics identified.
Centrally reported metrics were collected through various scorecards and dashboards.
Supply chain governance
The evolving value chain in life sciences Page 31
These 15 metrics provide visibility into manufacturing and markets’ operational performance.
Process area
Item no. Operational metrics Existing
Planning
1 Percent in stock 2 Forecast error 3 Forecast bias 4 Inventory value 5 Inventory turnover
Procurement 6 Percent principal approved/endorsed
spend 1
7 Percent of spend in principal lead SRM 1
Global logistics and supply
8 Distribution cost as percent of sales 9 Distribution cost per unit shipped 10 Shipments not delivered on time (%) 11 Shipments not delivered full (%)
Manufacturing
12 Right first time 13 BOH commitments 14 Budget variance 15 Critical findings
Strategic metrics
Operational metrics
(in scope)
Tactical metrics
Operational metrics scope Recommended operational metrics
Supply chain governance — example of operational metrics
The evolving value chain in life sciences Page 32
# Supply chain governance activity Compliance guidelines Operational metrics
1 Finished goods planning/manufacturing
► Demand plan submitted to principal monthly ► Master Production Schedule (MPS) submission
guidelines ► MPS adherence guidelines
► % in stock ► Forecast error ► Forecast bias
2 Intermediate goods planning/manufacturing
► MPS/Material Requirements Planning (MRP) submission guidelines
► MPS/MRP adherence guidelines
► Forecast error ► Forecast bias
3 Direct materials sourcing
► Substantial direct material/drug product contracts endorsed by principal
► Purchase price variance report submitted to principal monthly
► % principal approved/endorsed spend ► % of spend in principal lead SRM
4 Manufacturing cost management
► Excess and obsolete inventory management costing performed at principal
► Supply chain agreements adjustments approved by principal
► Budget variance ► Inventory value ► Inventory turnover
5 Logistics
► All inter-transfer approved by principal ► Transportation plan submitted to principal
monthly ► Transportation plan adherence
► Distribution cost as % of sales ► Distribution cost per unit shipped ► Shipments not delivered on time (%) ► Shipments not delivered full (%)
6 Quality ► Quality parameters met ► Quality reports submitted
► Right first time ► Board of Health (BOH) commitments ► Critical findings
Supply chain governance activities
Compliance guidelines and operating metrics are aligned to key activities that are critical for governance and oversight.
The evolving value chain in life sciences Page 33
Supply chain governance — metrics, agreements and S&OP Key activities that help achieve business objectives and support the principal structure
Supply chain agreements and MSA planning parameters
1 ► The principal to review the
currently used planning parameters for select products
Compliance guidelines and operational metrics
2 ► The implementation of
compliance guidelines to support the principal structure and operational metrics to support the business processes
Escalation thresholds 3
► Identification of thresholds and setting of business scenarios that will need to be escalated to the principal for review or approval
S&OP process 4
► A key process for decision making and control of supply chain activities and business results
Operating manual 5
► The operating manual to be the guiding document for all processes, responsibilities and controls
Industry trends and drivers
The evolving value chain in life sciences Page 35
Industry trends and drivers
► The life sciences business environment
► Patents: wave of patent expiries on key products and threat of follow-on biologics
► Productivity: low R&D productivity slide vs historical performance and biotech sector
► Pricing: cost containment placing pressure on prices and market access — first Europe, now the US
► Commercial structure: inefficiencies in traditional sales and marketing model
► Compliance commitments: increased requirements, complexity and enforcement actions
► Customer relationships: increasingly informed and active stakeholders demanding value and transparency over business practices
Reduced growth (top-line)
Margins squeezed
Reputation in decline
Consolidation (mid-market)
The evolving value chain in life sciences Page 36
US
Germany Spain UK
Japan France
Healthcare costs (HC) continue to outpace economic growth
€2.650
€3.150
x
€2.250 €1.850
1992 1997 2002 2007
€5.351
Inde
x
Index: 1992 = 100 HC cost per capita 2006 (€)
1992 1997 2002 2007 1992 1997 2002 2007
1992 1997 2002 2007 1992 1997 2002 2007 1992 1997 2002 2007 100
200
300
100
200
300
100
250
400
100
200
300
100
200
300
100
250
400
Wages HC costs GDP
€2.381
Source: OECD Health Data 2008; EIU.
Inde
x
Inde
x
Inde
x
Inde
x
Inde
x
The evolving value chain in life sciences Page 37
Higher spend doesn't necessarily lead to better outcomes
Expe
nditu
res
($) p
er c
apita
6,000
5,000
4,000
3,000
2,000
1,000
0
Healthy life years 76 75 74 73 72 71 70 69 68
Japan
Singapore
United States
Internationally, higher spend not correlated with increased health
Costs outpacing improved quality for past decade in US
(%)
250
200
150
100
Year 2006 2004 2002 2000 1998 1996 1994
Costs Quality Source: OECD Health Data 2008; EIU.
The evolving value chain in life sciences Page 38
Value-based interventions — how do we define the value?
Patient health experience for a given medical condition
► Health status achieved and retained ► Survival ► Extent of recovery or disability ► Disease progression
► Recovery/disease management ► Right diagnosis ► Treatment errors ► Complications ► Recovery time
► Sustainability of health ► Recurrences ► ER visits
► Self-management cost of patient care
► Personnel ► Facilities ► Supplies ► Technology ► Administration
► Net cost across cycle of care (to minimize cost shifting)
Risk-adjusted outcomes
Cost of providing value-based services ÷ Health care
value
► Health outcomes per dollar spent providing services
► Value measured across full cycle of care
= Source: Redefining Health Care: Creating Value-Based Competition on Results; Michael E. Porter.
Focus on results — measured by quality and efficiency
The evolving value chain in life sciences Page 39
The collaboration imperative
► Working together for mutual gain ► US health care is transforming from a provider- and payer-
dominated system to one in which patients are at the center of care. ► Forces at work require new levels of collaboration.
► Collaboration, the new competition ► Collaboration crossroads:
► When does collaboration make the most sense for your organization?
► What strategic issues do you need to address to thrive in a collaborative environment?
► How are your leaders serving as role models for a collaborative culture?
► What are the tax impacts of collaboration?
The evolving value chain in life sciences Page 40
In fact, several partnerships and pilots are positioned to build collaborative care partnerships
I3G Johnson & Johnson (J&J) — AOK and Care4s
Nationwide network for integrated outpatient care for schizophrenia patients in Lower Saxony region of Germany: ► Case managers and nurses
build the team on site. ► Structured treatment path with
psycho-educational or drug adherence and shared decision-making initiatives are in place.
► Patients and relatives are active in the decision process.
Merck — M2Gen
Merck’s for-profit collaboration with H. Lee Moffitt Cancer Center aims to improve cancer care with personalized treatments.
Moffit’s M2Gen database of genetic data derived from tumor tissue samples and clinical information from 85,000 patients allows researchers to match molecular signatures of patients’ cancers with treatments.
AstraZeneca — Healthcore
AstraZeneca and HealthCore (WellPoint’s health outcomes based subsidiary) are conducting retrospective and prospective studies to determine effective and economical treatments for chronic diseases.
Lilly — Anthem BCBS and five other Indiana-based Health Care Provider (HCPs)
Merck — Camden Coalition of Healthcare Providers
Merck Foundation committed $15 million in 2009–2013 to fund the Alliance to Reduce Disparities in Diabetes, a public/private partnership encouraging evidence-based collaborative approaches to improve care and reduce care disparities in low-income, underserved populations..
Abbott — Anthem BCBS**, UHC*, Humana, Cincinnati doctors
Cincinnati Patient-Centered Medical Home (PCMH) Pilot and Co-Pilot Project is organized under the Aligning Forces for Quality (AF4Q) initiative.
The project is sponsored by Health Improvement Collaborative of Greater Cincinnati and funded by Anthem BCBS, Humana, Abbott, UHC* and various physician practices.
Sanofi-Aventis — Baltimore County Dept. of Aging, John A. Hartford Fdn and NCOA Sanofi-Aventis, the Baltimore County Department of Aging, the John A. Hartford Foundation and the National Council on Aging (NCOA) launched a pilot program to help physicians connect older patients with diabetes to evidence-based education and wellness support.
Fresenius — Aetna
A patient-centric care coordination program is improving clinical outcomes and reducing costs by slowing the progression of chronic kidney disease in members and facilitating gentler, less costly transitions to dialysis or pre-transplant care. The program is enhancing coordination of care among specialists, primary care providers and nurses.
The alliance aims to achieve better outcomes for diabetes patients. Policyholders of Anthem BCBS who have diabetes, but have performed their testing, will receive reminder phone calls.
*UHC=United Healthcare; **BCBS=BlueCross BlueShield Association
The evolving value chain in life sciences Page 41
PatientN
Patient
Rather than research-focused initiatives, improving patient health outcomes is the ultimate goal.
Clinical transformation ► Real-world data informing discovery and
development ► Increased focus on “pills+” that help prevention,
adherence and self-management
Health care delivery transformation ► Patient–physician
connectivity and multi-channel information pipelines
► Improved multi-sourced and predictive data
► Behavioral economics levers
Inspiration Merck/M2Gen
Inspiration Sanofi and NCQA
Inspiration Wellpoint/Watson
Inspiration Coalition Against
Major Diseases (CAMD) Inspiration
Merck/Camden Coalition
Inspiration Merck/CIGNA
Aspiration Permanently funded, national
*CER Infrastructure
Aspiration Collective care
model
Aspiration Patient-focused, healthier
outcomes
Aspiration: Personalized Healthcare
(Nutrigenomics and Nutrigenetics)
Aspiration New therapies for druggable
compounds
► Organizing around patient populations ► Customer segmentation ► Behavioral economic levers
Commercial transformation ► Providing product and services in non-traditional settings ► New business models creating lifelong relationships with
customers and improving outcomes
Model will enable pharmaceutical companies to access larger markets (from a $200 billion to $2.5 trillion market).
Inspiration Novo Nordisk in China*
Inspiration GSK and GAVI
in 48 Least Developed Countries (LDCs)**
*Comparative effective research (CER)
The evolving value chain in life sciences Page 42
Cap
abili
ties
Market engagement Payment models
Automated reporting
Initiatives that focus on collaborative care and quality- and outcome-based payment are the most highly evolved.
Clinical navigation
Disruptive Evolutionary Revolutionary
Aspiration: Coordinated integrated care
Patient focused Holistic payment model
Population context Standardized
Expand collaborative care pilots to employer contracts and 2–3 payers: Abbott and Cincinnati PCMH collaboration, Camden Coalition of Healthcare Providers and Alliance to Reduce Disparities in Diabetes, Maryland multi-payer PCMH funded by Merck, Pfizer and Sanofi-Aventis
Payment neutral constructs to support experimentation and infrastructure development
Multiple payment bundling arrangements; material “at risk” revenue — UHC and 5 oncology practices
Newly established clinical councils of selected medical staff focus on quick wins
Stabilized process for data collection and reporting; roadmaps for mature enterprise tools and data management
Form and operate ACO and PCMH pilots
Competitive advantage established; drives expanding base of covered lives served
Multiple desktop applications aggregating and analyzing data
Maturing teams of primary care physicians (PCPs), case navigators and analysts; recurring comparison of outcomes to standardized evidence-based practices; e-health information and education resources created and sponsored by multi-disciplinary teams, including HCPs, payers, pharma and technology firms
Installation of enterprise tools complete; data governance and management produce “single source of truth”
Clinical councils expand to broader membership of PCPs and selected specialists; reduction in disparity of treatment practices among staff; J&J and VUMC collaborating in “systemic medical care” expanding EHR and decision support
Confidence in capitation and risk pool arrangements
Narrow network products based on Accountable Care Organization (ACO) panel; ACO products offered on exchanges
Advanced risk-sharing arrangements produce recurring, predictable cost and revenue streams
Transformation rooted in critical mass; clinical practices viewed as leading practice
Population and outcomes reporting matures; roadmap implementation underway
Today: Fee for service
Episode-based care Clinician focused in silos
Individual context High variability
The evolving value chain in life sciences Page 43
Supply chain and operations management is the sourcing and delivery arm of collaborations
Key consideration supply chain management: ► What manufacturing, operational and packaging assets are part of the collaborative operation? ► How will service-level, quality, compliance, risk and liability sharing agreements be handled? ► Who contributes the methods and tools that power the collaboration’s success?
Drivers of change: ► Health care reform ► Health IT ► Super consumer ► Value mining
Delivering healthy outcomes: ► Managing patient outcomes ► Expanding access to health care ► Meeting unmet medical needs
Pharma
Drugs
Diversified drug portfolios
3.0
2.0
1.0
Food cos.
Health insurance cos.
Social media cos.
Information cos.
Health care providers
Health record cos.
Telecom cos.
Retail cos.
Payers Physicians
Academia
Biotech
CROs
Medtech
Health outcomes
Patients
The evolving value chain in life sciences Page 44
Collective disease networks enhance physician decision making and improve patient outcomes.
Future state example
Pharmaceutical — patients for life ► Funding Patient Centric Medical Home (PCMHs) National Committee for Quality
Assurance (NCQA certification) + procuring patient visit time ► Outcome dev./measurement (VBID) ► Longitudinal observational data — epidemiological patient stratification ► Metrics for Rx (medication possession ratio), patient and provider adherence ► New relationships with patients for life (patient care experience) Leveraging community networks ► KOLs and community physicians (branding and Continuing Medical Education (CME) ► Identifying patients with diabetes ► Patient literacy — paid pharmacist time ► Behaviors (CSAT) — predictive patient profiling ► Predictive Key Opinion Leader (KOL) profiling — EY solution model
Pharmacy Benefit Manager (PBM )— manage risk/cost ► Claim analysis retrospective, predictive,
avoidable ► Outcome development + measurement
► Improving recruitment and removing barriers to care
► Patient stratification based on personalized medicine
Honest broker — manage incentives/savings ► Business model: sustainable prevention programs
in community — self mgmt., support and counseling ► TPA (third-party adjudication)/bank ► Bundled payment model/capitation on risk/savings ► Incentive management (benefit and quality credits) ► Calculation of cost/savings and understanding of losses ► Risk management (monitoring)/validate risks transferred ► Observing customers, conducting surveys — adjusting for Hawthorne effect ► Design of similar protocol/care across all settings (community by community) ► Ernst & Young LLP IP and solutions
Payer — enroll and deliver intervention ► Enroll patient (20,000 pilot members identified through claims analysis) ► Initial outreach conducted by both pharmacist and Primary Care Physician (PCP) ► Initial baseline screenings (using biometrics) ► Create incentives to align P4O with 10 NCQA measures to ensure better health
outcomes (4 PCP visits) ► Developing clinically nuanced VBID ► Risk metrics (Harm per 100 patient days, readmissions
within 30 days, adverse events per patient days, % of patients with lab values outside therapeutic ranges, cost per inpatient case, delivery of evidence-based care 100% of the time)
Pharmacy — patient stratification of risk ► Health Effectiveness Data and Information Set (HEDIS)
measures ► Condition specific (hyperlipidermia, Chronic Obstructive
Pulmonary Disorder (COPD), ►hypertension, asthma)
► Quantitative: ► Consumer satisfaction, ► Consumption profile (i.e., high utilizers, patients with
multiple co-morbidities) Manage risk/cost ► Claim analysis (retrospective, predictive, avoidable)
► Outcome development + measurement, diagnostics
PCPs — Deliver interventions ► Physician interventions — based on severity ► Rx adherence + metrics (e.g., pharmacist monitoring) ► Lifelong consent + baseline health risk profiling ► Incorporating community health workers into primary care
homes to liaison between physicians and communities ► VBID layers on incentives to steer individuals to high-value practices and adopt
treatment and behavior change recommendations offered by physicians — continuous FMEA (Failure Mode Effect Analysis) of high-risk areas
Pharmacy and providers sharing EM
Rs
VBID
Pharmacy
Payer (BCBS Highmark)
PBM (Medco)
Big Pharma (J&J/Merck/ NYS Health Foundation)
Provider (Northwestern
Memorial Physicians Group)
Honest broker, PMO, network, coordinator (Ernst & Young LLP)
Patients and families
self-manage after discharge
The evolving value chain in life sciences Page 45
Diabetes-related hospital admissions and interventional outcomes — Chicago heat map
Chicago diabetes — related hospital admissions pre-intervention heat map Low High
Pre-intervention model of hospital admission rates
► Combine zip code boundary files from Census Bureau with graphing capabilities of statistical software to create heat maps of the Chicago area.
► Colors are based on hospital admission rates. Red zip codes indicate high admission rates compared to yellow zip codes.
► Lower right section illustrates possible effects of diabetes intervention approaches on admission rates. This step can be fine tuned with patient level information related to interventions.
► Although the model does not show high incidence of diabetes for the white population, EY’s deeper analysis revealed that the areas dominated by high-earning professionals and white-dominating communities have a higher number of people at risk of developing diabetes.
Effect of lifestyle modification Effect of medication
Chicago Chicago
Based on national
averages
► In initial testing we found the following
potential predictors to be significant: ► Age, gender, income/poverty, race,
number of hospitals
► There appears to be a negative correlation between education level distribution and hospital admission (top row last column). This means the more educated the population in a zip code, the lower the hospital admission rate.
Chicago diabetes — related hospital admissions post-intervention heat map — lifestyle and medication adherence
Potential predictors
Chicago
Hospital admission rates
White
Male
Education level — graduate
The evolving value chain in life sciences Page 46
Questions?