THE VOLUME-TO-VALUE REVOLUTION - Health Forum … · THE VOLUME-TO-VALUE REVOLUTION . JULY 20, 2014...

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© Oliver Wyman THE VOLUME-TO-VALUE REVOLUTION JULY 20, 2014 Adrian Slywotzky

Transcript of THE VOLUME-TO-VALUE REVOLUTION - Health Forum … · THE VOLUME-TO-VALUE REVOLUTION . JULY 20, 2014...

© Oliver Wyman

THE VOLUME-TO-VALUE REVOLUTION JULY 20, 2014

Adrian Slywotzky

Value Migration®

2 2 © Oliver Wyman | AJS-20140720-AHA-San Diego

Value Migration®

$ B

B

$ B

B

US Steel Nucor US Airways Southwest Airlines

Sears Walmart Compaq Dell Motorola Nokia

3 3 © Oliver Wyman | AJS-20140720-AHA-San Diego

-12

-10

-8

-6

-4

-2

0

2

4

6

8

'71 '73 '75 '77 '79 '81 '83 '85 '87 '89 '91 '93 '95 '97 '99 '01 '03 '05 '07

Net

Pro

fit (1

995

$BB

)

Source: Air Transport Association of America. +46.54/–58.50

No profit zone: Airline industry example Industry net profit

4 4 © Oliver Wyman | AJS-20140720-AHA-San Diego

Evolving no profit zones

• Airlines

• Consumer electronics

• PCs

• Homeowner’s insurance

• Cars

• Beverage in grocery

• Films

• Agriculture

• Environmental remediation

• Lots of manufacturing

5 5 © Oliver Wyman | AJS-20140720-AHA-San Diego

Are there any evolving no-profit zones in healthcare?

• 2014?

• 2017?

Market share – a very tricky idea

7 7 © Oliver Wyman | AJS-20140720-AHA-San Diego

0%

5%

10%

15%

0% 10% 20% 30% 40% 50%

Prof

itabi

lity

Market share

Chrysler

Ford

GM

Automotive – 1970s

8 8 © Oliver Wyman | AJS-20140720-AHA-San Diego

Automotive – 1990

0%

5%

10%

15%

0% 10% 20% 30% 40%

Chrysler

Ford GM

Prof

itabi

lity

Market share

9 9 © Oliver Wyman | AJS-20140720-AHA-San Diego

Automotive – 2002

0%

5%

10%

15%

0% 10% 20% 30%

Chrysler GM

Ford

Prof

itabi

lity

Market share

10 10 © Oliver Wyman | AJS-20140720-AHA-San Diego

Automotive – 2008

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

0% 10% 20% 30%

Chrysler

Ford

GM

Prof

itabi

lity

Market share

11 11 © Oliver Wyman | AJS-20140720-AHA-San Diego

My business design

Customer selection

Profit model

Strategic control

Today Next

Scope

Unique value proposition

Organization

12 12 © Oliver Wyman | AJS-20140720-AHA-San Diego

The biggest problem in business …

is staying with your previously successful business model

one year too long.

13 13 © Oliver Wyman | AJS-20140720-AHA-San Diego

Why is it …

that the mental model of industry leaders

lags the market

by 2–3 years?

14 14 © Oliver Wyman | AJS-20140720-AHA-San Diego

What happens when industries collide?

15 15 © Oliver Wyman | AJS-20140720-AHA-San Diego

Technology

Media/content/advertising

Telco

Consumer electronics

16 16 © Oliver Wyman | AJS-20140720-AHA-San Diego

The Four-Chain World consumer

Jennifer Stone: 50-year-old, small business owner

17 17 © Oliver Wyman | AJS-20140720-AHA-San Diego

The Four-Chain World consumer

Jennifer Stone: 50-year-old, small business owner

18 18 © Oliver Wyman | AJS-20140720-AHA-San Diego

Bloomberg Get updated information for stocks and markets

iXpenseit Create expense reports and summaries

Omni Invoice Generate sales quotes and customer invoices

OmniFocus Track tasks by project, place, person, or date

Streamtime Track customer information

FileMagnet Wirelessly transfer files from desktop computer

iShare Connect to Microsoft

SharePoint Server

Oracle Business Approvals for Managers Make intelligent business decisions on the go

LinkedIn Access your professional

network and contacts

iSpreadsheet Create, edit, and share

spreadsheets

Managing my business

Jennifer Stone: 50-year-old, small business owner

19 19 © Oliver Wyman | AJS-20140720-AHA-San Diego

Starting to manage my health?

RunKeeper

Weight Watchers Mobile

Nike+ Running

WebMD Map My Run

Healthline

First Aid by American Red Cross

Kaiser Permanente

Restaurant Nutrition

Fitbit

SparkPeople

ZocDoc

My Pregnancy Today

Healthy Diet & Grocery Food Scanner

iTriage

Vitals

HealthTap

CVS Caremark

The Eatery

Rite Aid

AARP Magazine

20 20 © Oliver Wyman | AJS-20140720-AHA-San Diego

Data comparison/ download problems

Incomplete information

Many screens and computers

A la carte pricing

Multiple logins

Multiple connections/ subscriptions

Easy to manipulate: access and downloading

Sleek dual-screen terminal

Single comprehensive platform

With Bloomberg

Without Bloomberg:

Bloomberg’s little box/big box value proposition The financial trading frustration chain: life without/with Bloomberg

21 © Oliver Wyman | AJS-20140720-AHA-San Diego

The trader’s terminal The physician’s desktop?

• 30,000 functions • Consistent/comparable data • Analytical templates • Creating algorithms

• Patient history • Predictive modeling • Best protocols • Best process controls/checklists • Diagnostic algorithm

“I have all I need at my fingertips.” What would the physician say?

22 22 © Oliver Wyman | AJS-20140720-AHA-San Diego

2000 value 2010 value

$2.6 trillion $1.6 trillion 21 Leaders

$80 billion $1 trillion 11 Cross-chain players

3% 40% Share of value

Value Migration® Four-Chain World

23 23 © Oliver Wyman | AJS-20140720-AHA-San Diego

Technology

Media/content/advertising

Telco

Consumer electronics

The Four-Chain World is really about the customers, not about industry value chains.

24 24 © Oliver Wyman | AJS-20140720-AHA-San Diego

Technology

Telco

Consumer electronics

Media/content/advertising

The customer’s hassle map

25 25 © Oliver Wyman | AJS-20140720-AHA-San Diego

The key point of the Four-Chain World

• Start with the customer

• Ask: – Who owns the hassle map of the customer? – Connect the dots to fix it. – Who is improving it the most quickly?

26 26 © Oliver Wyman | AJS-20140720-AHA-San Diego

E-book

• “Huge threat to my business”

• “Huge opportunity to create better experience for the customer

“Cool device”

The laws of perception: What do you see?

27 27 © Oliver Wyman | AJS-20140720-AHA-San Diego

What new things will my team have to learn in the next three years?

28 28 © Oliver Wyman | AJS-20140720-AHA-San Diego

$ B

B

$

$50

$100

$150

$200

$250

$300

$350

$400

Apple

Sony

Market capitalization: Sony versus Apple

2007 2001 2003 2005 2009 1999 2011

29 29 © Oliver Wyman | AJS-20140720-AHA-San Diego

$ B

B

$

$50

$100

$150

$200

$250

2007 2003 2005 2009 2011

Walt Disney

News Corp Time Warner

Viacom

2001

Value Migration®: Market capitalization

30 30 © Oliver Wyman | AJS-20140720-AHA-San Diego

X X Tech

Media

“Different clocks"

The Second Half of the Game

King Kong Godzilla vs.

33 33 © Oliver Wyman | AJS-20140720-AHA-San Diego

Tech Telco

Media

Consumer electronics

Tech

Telco

Media

Consumer electronics

Retail

Education

Tech

Financial services

Healthcare

Four chains to eight

34 34 © Oliver Wyman | AJS-20140720-AHA-San Diego

Healthcare convergence

• Cross-chain competition

• Hassle map

• The upside-down pyramid

• Capacity dislocations

• Compete/collaborate ratio

35 35 © Oliver Wyman | AJS-20140720-AHA-San Diego

Tech

• iPhone/iPad apps – iTriage

• Android ecosystem

• WellTok

• Castlight Health

• Cisco Telehealth

• IBM Watson

• Google

36 36 © Oliver Wyman | AJS-20140720-AHA-San Diego

Retail

Q: What is retail?

A: $900 BN looking for growth

Market cap Revenue Walmart 200 BN 500 BN

CVS 60 BN 100 BN

Walgreen’s 30 BN 70 BN

Kroger 13 BN 90 BN

Rite-Aid 2 BN 25 BN

Target 40 BN 70 BN

~ 350 BN ~ 900 BN

37 37 © Oliver Wyman | AJS-20140720-AHA-San Diego

Retailers

• Drugstores solved growth problem with cosmetics

• Discounters with grocery

• Both need more

• They think differently: – Sales per square foot – Foot traffic – Inventory turns – GM/square foot

• Now they’re starting to think Share of Wallet.

• They have the cards. They want more.

38 38 © Oliver Wyman | AJS-20140720-AHA-San Diego

Retail: Rapid evolution

Diagnostics

Simple coordination (with PCPs)

Telehealth

Wellness programs

distribution

Kiosk/ information

Acute episodic, flu shots

39 39 © Oliver Wyman | AJS-20140720-AHA-San Diego

Tech/Telco

“They love hassle maps”

Retail

Healthcare

New sources of competition for value

“They love high costs”

40 40 © Oliver Wyman | AJS-20140720-AHA-San Diego

No Coordination

of Care

Hard to fit patients in schedule

Lack resources to manage chronic

illnesses

Doctors Wait weeks

to see doctor

Too many patients, too little

time

No time or $ to talk end of life

Emotionally attached

Byzantine billing

More billing staff than nurses

Hard to be ideal doc

Professional frustration

Miss Appointments

Problems go unnoticed

Can’t Drive

Complicated referrals

15-20 medications

Patient

Expensive hospitalization

Multiple specialists

Conflicting treatments

No holistic care

Emergency? Call 911

Expensive co-pays

No end-of-life plan

Health Plan

Redundant treatment

Hard to find quality docs

Costly senior care

Risk of adverse selection

death spiral

Need to minimize

costs Staff focused on costs, not prevention

Small margin for Medicare patients Denial of

coverage

Even the toughest hassle maps are opportunities U.S. healthcare

41 41 © Oliver Wyman | AJS-20140720-AHA-San Diego

Afghanistan Stability/COIN Dynamics

42 42 © Oliver Wyman | AJS-20140720-AHA-San Diego

Healthcare = Hassle Map Heaven

43 43 © Oliver Wyman | AJS-20140720-AHA-San Diego

• Ellen

• Dan

• Joe

44 44 © Oliver Wyman | AJS-20140720-AHA-San Diego

• Impaired quality of life • Cost: $25,000

+$200/mo for oxygen

Difficulty breathing, onset of edema

Day 7

Steps on wireless

scale, +3lbs

Day 1

• Quality of life maintained

• Cost: $600

Fee-for-service

CareMore

Cough up frothy

sputum

Day 13

CareMore nurse calls, makes appt, sends car

Day 1

Ventilator, drugs, cardiac catheter

Days 14–19

Permanent damage,

on oxygen indefinitely?

Day 19+?

Sees NP, new Rx

Day 1

CareMore Clinic

Call 911 & emergency

room

Day 14

Hospital

Source: Interview with Alan Hoops, CareMore Senior Medical Officer and CEO respectively, conducted by Adrian Slywotzky and Karl Weber (08/10/2010); Zipprich, Bernard, “Interview with Dr. Carlos Cowley, cardiologist,” (10/5/2010); 56% figure comes from “Delivering Integrated Patient Care for Seniors,” CareMore (11/2008), p. 35

56% FEWER READMISSIONS

Crisis passes

Day 7

Fluid build up

Day 1

Fluid build up

Day 1

How do we reduce hospitalizations for CHF patients? Illustrative

45 45 © Oliver Wyman | AJS-20140720-AHA-San Diego

Recovery days Consultation Diagnostic

tests Pre-op prep Procedure

90 days post-op

follow-through

Geisinger – Standardization

• One invoice/one price • One point of accountability • Pro-patient standardization

$112K

$88K

46 46 © Oliver Wyman | AJS-20140720-AHA-San Diego

The upside-down pyramid

Innovations

Financial incentives to stay fit, health screenings, convenient access

Fixed bundled payments, EBM, standard protocols, checklists

Coordinated care, prevention, compliance, hospice, capitated payment

Costs Patients

Healthy, minor health issues

At-risk for major procedures (e.g. cardiology, oncology)

Polychronic, end of life

20%

5%

75%

35%

45%

20%

47 47 © Oliver Wyman | AJS-20140720-AHA-San Diego

Savings & Reinvestment

Focus on Top 5%

Savings & Reinvestment

Focus on Top 10%

Focus on Top 1%

48 48 © Oliver Wyman | AJS-20140720-AHA-San Diego

Employers

• Transfer risk: Deductibles and donut holes

• Information

• Incentives

• Support, coaching

• Experimentation

• Culture

• Self-reinforcing upward spiral

49 49 © Oliver Wyman | AJS-20140720-AHA-San Diego

Great employers are already connecting with great providers to get radically better outcomes for their employees:

• Lowes with Cleveland Clinic

• IBM with providers in Arizona

• Boeing experimenting with providers in Seattle

50 50 © Oliver Wyman | AJS-20140720-AHA-San Diego

A cascade of capacity dislocations

• Retail General practitioners

• Care teams Hospitals

Specialists

• Care teams Hospitals

(+ Tech + Retail) Specialists

51 51 © Oliver Wyman | AJS-20140720-AHA-San Diego

What will happen to competitive intensity?

• Internal competition ↑

• Cross-chain competition ↑

• Risk of downward spiral

Recall 2.6 → 1.6

52 52 © Oliver Wyman | AJS-20140720-AHA-San Diego

Business design challenges

• Hospitals – New revenue

• Medical groups – ACO plus profit model

• Insurers – What’s my next big piece of value added?

• Retailer – Profitable growth

53 53 © Oliver Wyman | AJS-20140720-AHA-San Diego

Industry profit margin

Collaboration should begin

Collaboration begins

Change the compete/collaborate ratio soon enough to make a difference

Compete/collaborate: Timing

54 54 © Oliver Wyman | AJS-20140720-AHA-San Diego

Compete

100

90

80

70

60

50

Collaborate

0

10

20

30

40

50

• What is the compete/ collaborate ratio in my industry today?

• What should be my compete/collaborate ratio?

Compete/collaborate: Ratio

55 55 © Oliver Wyman | AJS-20140720-AHA-San Diego

“Where do we allocate capital to activities that give us no differentiation?”

56 56 © Oliver Wyman | AJS-20140720-AHA-San Diego

Tech/Telco

Retail

Healthcare

Collaborations

57 57 © Oliver Wyman | AJS-20140720-AHA-San Diego

Globalization: Informational economics

• Mobile ecosystem

• Telehealth

• Social networking

• Watson

• Genomics

When intensely regional (HC) meets intensely global (info), global wins.

– Not a regional business

– Not a regional business

– Not a regional business

– Not a regional business

– Not a regional business

58 58 © Oliver Wyman | AJS-20140720-AHA-San Diego

Market 2.0

Care Teams

Quantified Self

Open Exchanges

59 59 © Oliver Wyman | AJS-20140720-AHA-San Diego

27,820

5,739

0

5,000

10,000

15,000

20,000

25,000

30,000

Dec 10 Dec 09 Dec 08 May 13 Dec 12 Dec 11

0

100

200

300

400

500

600

700

Q4 2010 Q4 2011 Q4 2012 Q4 2013

Clinicians

Sites

Note: Clinicians include physicians, physicians’ assistants, and nurse practitioners Source: http://www.ncqa.org/Portals/0/Public%20Policy/2013%20PDFS/

pcmh%202011%20fact%20sheet.pdf

Source: Leavitt Partners Center for Accountable Care Intelligence

ACO growth

606

NCQA PCMH growth

60 60 © Oliver Wyman | AJS-20140720-AHA-San Diego

The Resource Pyramid

• A much broader base for the pyramid

• “Top of license” on steroids

• Costs significantly lower

Doctors

Nurses Behaviorists

Medical Assistants

PCMHs Smart Care Team

Retail

Telehealth

Self-directed consumers

The power of the extended care team Leverage: Adding ultra-low-cost capacity to smart care teams

D N B

MA

Prevention Excellence

61 61 © Oliver Wyman | AJS-20140720-AHA-San Diego

12 17

55

70

89

0

10

20

30

40

50

60

70

80

90

100

2009 2010 2011 2012 2013

Num

ber o

f rou

nds

Number of rounds over $2M

7x growth over 5 years

Source: Crunchbase data referenced at http://techcrunch.com/2014/01/15/vcs-investing-to-heal-u-s-healthcare/

Note: Healthcare software and apps company early stage funding.

Venture funding of digital health companies $2,170M

$1,542M

$1,300M

$824M

$329M

$2.2

2.0

1.8

1.6

1.4

1.2

1.0

.8

.6

.4

.2

$0

Vent

ure

fund

ing

($B

B)

2009 2013 2012 2011 2010

Momentum building … Digital health funding growing at nearly 30% per year

Source: Thomson Reuters and Crunchbase for 2008 – 2010 data, Rock Health and Crunchbase for 2011 – 2013; includes top Rock Health digital health innovators and selected innovators identified by OW

Note: Only deals >$2M.

62 62 © Oliver Wyman | AJS-V2V2-20140611-V2V2 Graphics

Critical mass investments

$27$28

$30$30$30$31$31$31$32$32$32$33$34

$35$38

$40$41$41$41$42

$45$46$46

$48$49$49$50$50

$55$57

$58$63

$64$65

$70$73

$77$100$100

$148

$0 $10 $20 $30 $40 $50 $60 $70 $80 $90 $100 $110 $120 $130 $140 $150

Doximity Accolade

Humedica, Inc. Valence Health

Liazon

Airstrip Technologies CareCloud

GoHealth Care.com

FitBit Homecare Homebase

23andMe Proteus Digital Health

Lumos Labs, Inc. (Lumosity) HeartFlow

EGHC ShareCare

ZocDoc Castlight

Evolent Health Practice Fusion, Inc.

Nant Health Sotera Wireless

CardioInsight Watermark Medical BASIS Science Inc.

Modernizing Medicine

ABILITY Network

Teladoc MindBody HealthTap

Kinnser Software Audax Health

Awarepoint Vitals

Health Catalyst Genapsys

Best Doctors PatientSafe Solutions

OrthoSensor

Total capital raised among those who have raised at least $25M =

$2.0 Billion since 2011

Source: Rock Health

63 63 © Oliver Wyman | AJS-20140720-AHA-San Diego

The tech attack

• Scale

• Momentum

• Critical mass/company

• Consumer relevance

• Silicon speed

64 64 © Oliver Wyman | AJS-20140720-AHA-San Diego

Who’s at the edge of our radar screen?

New tech companies

Retailers New/independent care teams

Major tech incumbents

• Hospital systems • Medical groups • Insurers

• Competitors for value? • Good ideas? • Great partners?

65 65 © Oliver Wyman | AJS-20140720-AHA-San Diego

Biosensors

Apps

Social Networks

Exchanges

Retail

Crowd Sourcing

Mobile

Competition/ Games

The “Engaged Consumer”

The “Quantified Self”

The Quantified Self Health IQ

66 66 © Oliver Wyman | AJS-20140720-AHA-San Diego

Illustrative

Undiagnosed depression; pre-hypertensive

Poly-chronic, severe mobility impairment, depression, in skilled nursing facility

Overweight, diabetic, high blood pressure,

undiagnosed depression

Hea

lth s

tatu

s m

igra

tion

Lifetime

Psychologist catches early depression,

addresses it Nutritionist helps craft better diet to

promote good weight

PCP addresses high cholesterol with an Rx

Occasional home care visits help maintain

independence

Over weight, diabetic, high blood pressure, depression, CHF

Fully mobile

Care team prescribes coaching, diet, exercise program

Biosensors, light weight training, strength and stretch training

Changing lifetime trajectories

67 67 © Oliver Wyman | AJS-20140720-AHA-San Diego

Procedure Surgery Center of Oklahoma Competitor price

• Breast biopsy $3,505 $16,244

• Hernia repair $3,200 $17,200

• Carpal tunnel release surgery $2,750 $7,452

• Gall bladder removal $5,865 $21,556

• Hysterectomy $8,000 $37,174

Oklahoma Surgery Center

Infection rates

• Average hospital 3 – 6%

• Average ambulatory surgery 2.6%

• SCO .5%

68 68 © Oliver Wyman | AJS-20140720-AHA-San Diego

Extreme price variations happen everywhere and for every type of procedure.

69 69 © Oliver Wyman | AJS-20140720-AHA-San Diego

Source: CMS claims data for 0267 - Level III Diagnostic and Screening Ultrasound * Estimated savings relative to total bill submitted to CMS Note: Capping reimbursement at the market median could reduce prices by 23%* for these tests Average estimated submitted charges vs. outpatient discharges across US

Average price $1,064

Median price $945

Minimum price $156

Maximum price $7,566

Price variation Price & Volume: Level III Diagnostic and Screening Ultrasound

60

140

130

120

110

100

90

80

70

50

40

30

20

10

0

Volu

me

of p

roce

dure

s (in

thou

sand

s)

Price ($ 000s)

30+

8k

29-3

0

1k

28-2

9

1k

27-2

8

122k

8-9

127k

7-8

136k

6-7

124k

5-6

77k

4-5

57k

3-4

27k

2-3

6k

1-2

1k

12k

20-2

1

5k

19-2

0

11k

18-1

9

15k

17-1

8

26k

16-1

7

30k

15-1

6

35k

14-1

5

41k

13-1

4

65k

12-1

3

81k

11-1

2

77k

10-1

1

114k

9-10

2k

26-2

7

3k

25-2

6

10k

24-2

5

6k

23-2

4

12k

22-2

3

6k

21-2

2

Market median

70 70 © Oliver Wyman | AJS-20140720-AHA-San Diego

Mechanisms

• Calpers

• Walmart

• SCO

• Castlight Health

• ACO physician referrals

71 71 © Oliver Wyman | AJS-20140720-AHA-San Diego

Transparent markets Exchange evolution

Commercial Patient Centered

Medical Home (PCMH)

Polychronic PCMH

Population Health & Smart Care Teams

Frail/elder/ hospice

Mental Illness PCMH

Disease Specific PCMH

Consumers select their primary medical home as front door to the systems

ACO/Health System

Population health managers pull key health/ wellness/engagement services into model

Health Plan A

Health Plan C

Health Plan B

Consumers shop for retail services with price/value transparency

Consumer healthy living

Diagnostic services

Surgical services

Acute/ Episodic

Care Virtual Care

Monitoring services

Procedural care

Healthy Meals

Retail pharmacy

Health apps

Fitness/ wellness

Vision/ optical

Dental services

Health/ wealth

Wearables

Ancillary insurance

Urgent care

Transactional Care Healthy Living

Conventional insurance

72 72 © Oliver Wyman | AJS-20140720-AHA-San Diego

Business model alternatives

• What other important new business models will emerge/are emerging already?

• How effective are they?

• Which ones do a great job for consumers and investors?

• Which ones would you invest in? And why?

Category Design #1 Design #2

IBM’s Watson Technology licensor • “Bloomberg” for health professionals

iWatch Cool device • iPhone-like health ecosystem

Care team Medium-term prevention (reduced hospitalization, reduced specialist usage)

• Invest in biosensors, big data, Watson, genomics, coaches to add “20 more good years”

Hospital Cost-cutting, consolidation • Partner with and co-create smart care teams

Pharmacy Clinic • Clinic + telehealth + health coaches + care teams

Payor Insurer • Consumer health company

73 73 © Oliver Wyman | AJS-20140720-AHA-San Diego

When do I expect the inflection point to happen? Year

• Procedure price umbrella collapse

• Watson goes mainstream

• Care teams hit 20 percent of market

• Quantified self hits 20 percent of consumers

• Exchanges hit 20 percent of plans bought

• Genomics goes mainstream

74 74 © Oliver Wyman | AJS-20140720-AHA-San Diego

A changing market

Value

Three

Consumer

Prevention

Fixed payment

Collaborate

Volume

One value chain

Patient

Repair

FFS

Compete

75 75 © Oliver Wyman | AJS-20140720-AHA-San Diego

What can we do?

• Cost position

• Care teams

• Contracting/business design

• Collaboration energy

• Who will lead?

– Productivity breakthrough

– Who will own prevention?

– The sound of one hand clapping

– In every industry

76 76 © Oliver Wyman | AJS-20140720-AHA-San Diego

Who will own prevention?

Care Teams

Insurer Pharmacy

chain

Hospital system

Independent ACO/PCMH

77 77 © Oliver Wyman | AJS-20140720-AHA-San Diego

What can we do?

• Cost position

• Care teams

• Contracting/business design

• Collaboration energy

• Who will lead?

– Productivity breakthrough

– Who will own prevention?

– The sound of one hand clapping

– In every industry

78 78 © Oliver Wyman | AJS-20140720-AHA-San Diego

Strong business models exploit change;

weak business models lose value faster.

E.g. taking advantage of retail, mobile, telehealth, Watson, genomics