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MEPTEC Medical Technology Conference The Quantified Self: New Mobile Healthcare Technology for Consumers Tony Massimini Chief of Technology Semico Research Corp. Sept 18, 2013 [email protected]

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Page 1: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

MEPTEC Medical Technology Conference

The Quantified Self: New Mobile Healthcare Technology for Consumers

Tony Massimini

Chief of Technology Semico Research Corp.

Sept 18, 2013 [email protected]

Page 2: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Outline

• What is the Quantified Self?

• The Need for Healthcare

• Health and Fitness Market

• Aging in Place

• Technology: MEMS

• Leveraging Consumer Electronics

• Future Development

2

Page 3: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

About Semico Research

• IPI report

• IPI Model accurately predicts semiconductor revenue

inflection points four quarters in advance

• Map Model: Comprehensive, online, end market

database

• Research Portfolios

• Semiconductor Manufacturing: Wafer Demand, Fab Database

• Semiconductor IP and Design

• ASICs/SoC’s

• MEMS

• Analog

3

Premier Semiconductor Market Research & Consulting Company

» Data » Analysis » Knowledge

Page 4: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

The Quantified Self

• Goal: Aggregate data about a person’s

day-to-day activities to enact change.

• Pervasive person-centered healthcare

– Passive sensors will be integral

– Wearable sensors take advantage of MEMS

• The human body as a personal network

– Transmit as many metrics as possible

• The Internet of Things extended to people

• Derive context and knowledge from data

4

Page 5: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Healthcare - Quantified Self

Source: STMicroelectronics, EDN

Source: University of Virginia Engineering, Design World

Internet of Things

Health Consumerism

Quantified Self

5

Page 6: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Healthcare Market – How Did We Get Here?

Source: Semico Research

6

Page 7: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Healthcare Market - Not Just a Fad

860 million chronically ill

worldwide

By 2050, 21% of population

will be over 65

25% of national healthcare

spent on diabetes & obesity

~366 million people had

diabetes in 2011, will

increase to 550 million by

2030

Source: Kaiser Family Foundation, Health Affairs 2012

United States Health Expenditures in 2010

7

Page 8: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging Population

8

Life Expectancy at Ages 65 & 85, by Gender, 1900 – 2009

Page 9: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Healthcare Challenges and Goals

• Proactively engage consumers to monitor and

manage their conditions

• Encourage consumers to integrate common

healthcare solutions into daily life

• Mobile healthcare: use consumer’s social and

personal behavior to create healthy lifestyle

• A system focused on monitoring a patient and use

personal data to create Big Data cloud system

– Personal use, remote care provider, or hospital

• Create healthier population to avoid acute care

hospitalization and reduce healthcare costs

9

Page 10: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Healthcare Market – Drivers & Trends

• Primary Care Shortages

• Changing Demographics

• Enhanced Motion Tracking

• Health Consumerism / Quantified Self

• Crowd Sourcing

• Gamification

10

Page 11: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Health and Fitness Market

• Home Portable Medical market, the cost

efficient segment

• Apps and devices provide users with the

tools and understanding to make their own

medical decisions

– Personal fitness and sports

– Chronic care management

• Consumer can measure their own vital signs

and fitness levels

– Wearable devices, smartphone

11

Page 12: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Markets – Wearables & Big Data

Source: Apple, Patent # US 8374825 B2

12

Page 13: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Markets – Fitness / Activity Trackers

Basis: Optical Heart Rate Monitor

Accelerometer

Temperature sensor

USB

Fitbit

Jawbone UP: MotionX accelerometer

ValenCell PerformTek: Accelerometer

Optical Heart Rate Monitor

Withings:

Accelerometer

BodyMedia: Temperature

Accelerometer

13

Page 14: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Markets - Sports

Babolat Racquet

O-Synce Heads-Up Display

adidas miCoach Product Line

4iiii Innovations Inc.

Bemeister Complete Tracking System

14

Page 15: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Markets - Wellness

• iRhythm Zio Patch catches cardiac arrhythmias – 14 days continuous monitoring

• Wahoo Fitness Blue HR Monitor

• Dexcom Continuous Glucose Monitoring System Body patch + monitor

15

Page 16: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Markets - Clothing

• AiQ Smart Clothing

• Textronics

• Heapsylon

• Electric Foxy

• Moticon

• Nuubo

Source: The Hong Kong Polytechnic University,

Sciencedaily

Source: Textronics

Source: Electric Foxy

16

Page 17: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Healthcare Market - Forecast

Source: Semico Research

End-Use Healthcare Appcessory Units

17

Page 18: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging in Place – Solving Medication Errors

• 98% adherence rate when

patients use in-home automated

medication dispensers. -

Administration on Aging

• Patients are more willing to use

technology over medication (90%

to 66%). - Digitas Health

• Virtual pharmacist counseling

identified ~6 medication problems

per patient and was able to

resolve 93% of them.

• Medication errors are the most

common types of medical errors -

AoA

• 1.5 million preventable

adverse drug effects in

North America annually.

• cost $3.5 billion (2006)

Source: ER-Card / University of RI College of Pharmacy

Page 19: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging in Place – How Active Are The Elderly

Aging in Place is more than just monitoring.

Percentage of People Age 45 and Older Who Meet 2008 Federal Guidelines

Page 20: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging in Place – Driven by Mobile

0

500

1000

1500

2000

2500

3000

2012 2013 2014 2015 2016 2017

Un

its i

n (

M)

Tablets Smartphones Feature phones

Source: Semico Research

76% of small- and medium-sized doctor and dentist firms planning on

upgrading to tablets for their system. American Medical Association survey (2012)

• The total mobile market

will reach 2.5 billion units

in 2017.

• almost 6 times the

size of the computing

market by 2017.

• The easiest way to get

health information to

consumers via mobile

apps.

Page 21: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging in Place – Limiting Nursing Home Stays

Employee Benefit

Research Institute (EBRI):

• Percentage of seniors

(>65 years) who needed

at least one night in a

nursing home during a

period of two years

• 6% in 2000.

• 8.5% in 2010.

• At current rate, nursing

home stays increase

• 2010: 3.4 M

• 2020: 6.0 M

0

10

20

30

40

50

60

2000 2010 2020

Millio

ns o

f E

lde

rly in

US

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

% in

Nu

rsin

g H

om

e fo

r 1

da

y w

/i 2

YR

s

Elderly Population % in Nursing home

US Percentage of Elderly in Nursing Homes Within 2 Year Frame

0

1

2

3

4

5

6

7

2000 2010 2020

Nu

mb

er

of E

lde

rly W

ho

Use

d N

urs

ing

Se

rvic

es in

2 Y

R F

ram

e (

M)

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

% o

f T

ota

l E

lde

rly (

US

)

Number in Nursing home % in Nursing home Source: Semico Research

Page 22: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging in Place – Increasing Elderly Net Worth

• Nursing homes put monetary strain on the average family

• Nursing home stays erode net worth

• Greater dependence on government programs

• .Elderly staying in own home has financial benefit

Median Household Wealth

$0 $20,000 $40,000 $60,000 $80,000 $100,000 $120,000 $140,000 $160,000 $180,000 $200,000

Never

< 30 days

31 - 180 days

> 180 days

Source: EBRI, Semico Research

Page 23: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Aging in Place – Remote Monitoring Forecast

0

20

40

60

80

100

120

2011 2012 2013 2014 2015 2016 2017

Un

it S

hip

men

ts in

(M

)

$0

$5,000

$10,000

$15,000

$20,000

$25,000

Reven

ues in

US

D (

M)

Units Revenues

Source: Semico Research

Total revenues for remote monitoring systems will reach over $20 billion by 2017.

Page 24: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

What are MEMS

• Micro-Electro-Mechanical Systems

• Fabricated with semiconductor technology

– 20 mm to 1 mm

• Mechanical element paired with an ASIC

• Sensors

– Accelerometers, gyros, magnetometer, pressure, etc.

• Advantages

– Small size

– Lower power consumption

– Rugged and reliable

24

Page 25: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

MEMS ASPs

25

Source: Semico Research

• Falling prices

driven by high

volume

consumer

markets

• Smart Phones

drive technology

and innovation

• Other markets

take advantage

of trend

Page 26: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

MEMS & MCU Ecosystem

Lines indicate formal relationships, e.g. development and eval kits

Page 27: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Leveraging Consumer Electronics

• CE low cost and ease of use

• High volumes drive component cost down

• Smartphones, portables and wearables

driving innovations: sensors and apps

– Improved motion tracking

– Sensor fusion enabling Context awareness

– Complex algorithms derive intelligence from data

• Increasing connectivity

– Low power and low cost wireless

27

Page 28: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Summary – The Quantified Self

• Internet of Things and People

– More sensors monitoring all activities

– Wealth of data that needs to be managed

• Cloud interaction

• Smartphones, Tablets & PCs become personal

health and fitness hubs

– Interact with wearable devices – “appcessories”

• Sensors enabling new ecosystems

– Fitness, Wellness, Smart Homes, Aging in Place

• Engaging and empowering consumers to improve

health and manage medical conditions

• Lower health care costs 28

Page 29: The Quantified Self New Mobile Healthcare Technology for ...meptec.org/Resources/10-Semico.pdf · About Semico Research •IPI report • IPI Model accurately predicts semiconductor

Thank You

Recent Semico Reports:

– NFC: Security at Hand

– Mobile Healthcare: New Technology for a

Healthy Lifestyle

– Aging in Place: The Internet of Things for the

Golden Years

– MCUs and MEMS: A Partnership for Growth

More information contact:

Rick Vogelei 602-997-0337 / [email protected]

29 » Data » Analysis » Knowledge