mobile ICT-technologies will lead to the disruption of health care including R&D as we currently know it; since regulated markets pose significant hurdle on innovation, reverse innovation appears to be the logic consequence to improved the efficacy of health care as well as the way therapeutic concepts are being developed. Personalized medicine will become reality in a completely new dimension which are deriving from remote diganostics converging with innovative drugs to theranostics.

1. deep innovation
mhealth and „reverse innovation“
Disrupting current business models
Dr. Thomas Wilckens, deep innovation
April 2012

2. deep innovation
Selected experiences and products:
Telematics, Logistics, ICT, Health Care & Drug Development
2003 Phone OS 2004 Telematics 2006 eNewspaper
Open Mobile Operator OS
>The roots of Andoid<
OS Plattform for Mobile
Demo: first 3D MobilePhone eNewsPaper
2007 mobileTV 2008 mHealth 2010 eCar Management
Mobil eMobility
TV
National ICT Summit
December 6th 2011
ICT 2030
Responsible for trend identification, creativity mgt., pilot projects, Spin-out, restructuring, Start-Ups.
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3. deep innovation
Systems inefficiency as percent of total economic value by system
Economic efficiency from data akqisition, storage, extraction and analysis
Optimal field
18
%
for innovative
services
and
novel business
models based
on
Potential for improvement in health care app. 2 Trillionen US$
Source IBM
Innovation
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4. deep innovation
mhealth: a global trend
mhealth refers to the use of mobile
communication and devices for providing
healthcare services or achieving health
outcomes
mHealth comprises wellness, fitness and
medical services (prevention & treatment)

5. deep innovation
Mobile ICT Technologies: Gamechanger and Enablers
mobile technologies induce disruptive innovation
LTE/4G Networks: Mobile device projection
Ubiquitous & 5x faster than UMTS smartphones outpace PCs
Attributes of the world population: Mobile computing:
• only 70% access to clean water • Tablets and smartphones enable
• 90% lack access to medical treatment connected life
• 90% accessible via mobile technologies • Always online, always accessible

6. deep innovation
Anticipating the convergence of all aspect of life
mobile computing, -health/fitness/wellness
Mobile computing
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7. deep innovation
Wellness, health & fitness monitoring:
Cloud based data storage, analysis and services

8. deep innovation
Dezentralisation versus centralisation:
mobile computing as disruptive Innovation
Centralised IT-
technologies only for
few solvent clients
Ubiquitious
access
disrupted
exitisting
business
models,
industries and
society
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9. deep innovation
Dezentralisierung in diagnostics:
mobile computing and cloud technologies drive disruption
The disruption
off healthcare
by mobile,
wireless ICT is
just at the
beginning
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10. deep innovation
Mobile ICT Technologies: Gamechanger in Medicine
mHealth examples and anticipated products
Intelligente pill;
eatable microelectronics
Lab-on-paper (LOP)
Litium, Biohazard
LOP Livertox-test
Air pollution
Intracutane nanoparticles
Calcium-Glucose
Bloodcellanalysis
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11. deep innovation
The mobile diagnostics system value map:
Structure, competences, plattforms, up-scaling & value added services (VAS)
CASE-specific: User interface, User- and administration interface
Data representation, Alarm,
Parameters Value added services (VAS) and APPs
Data management,
Central platform functionalities with general application
Pilot implementation in selected target marktes
Horizontal cross sectional functions
Personal health records
features; i.e.:
Dada Mining, Expert
System, Therapy, Context • Secure data collection, storage, managment and
matching extraction/analysis
• Monitoring and alarm
Monitoring, Analytics,
distributed, secure data • Personalised health records
storage and „HealthSecurity“ • Expertsystems for datamining, epidemiologic analysis,
Data transport, near field
therapeutic decisions etc.
communication, mobil and fix • Datatransmission via operator
Mobile und portable vital Target case specific diagnostics/sensor and actuator at
data measurement,
Preprocessig and control
the frontend
• Single point measurment
Non invasive sensors
Non invarsive Sensoric
• Repeated measurement (chronic monitoring)
Lab on a chip • Continuous measurement and monitoring
Technologies
Frontend tech Core Tech Partners Standard Integration UseCase spec.
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12. deep innovation
mobile Lab on a chip (mLOC):
Reducing costs and enabling new clinical trial strategies & theranostics:
Increasing challenges:
Costs per drug trial 400 -1200k€
Administration, Control, Increased number of patients required
Monitoring, Exception Handling Extended trial durating
Data reporting Selected advantages of mLOC
end remote • Reduced monitoring costs
entree • Enabling new recruitment
• Enabling remote patient enrolement
Data collection and
secure transmission Advantage of Pharmapartnering:
non-regulated market with
pressing innovation need
Secure data
management
Proof of concept:
Pfizer established FDA-approved
first virtual mobile trial POC
Mobilized analytics instead of
repeated trial center visits Potential for cost reduction 20-50% per trial
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13. deep innovation
Mobile ICT technologies disrupt existing business
New opportunities for innovative technologies and value added services
Prevention, Early diagnostis, Monitoring
Mobile/wireless disruption
Personalized Medicine, Theranostics
Next disruption
Point of Care Diagnostics
New products and services
Present Future
Munich Network 13

14. deep innovation
Reverse Innovation:
More than a „proof of concept“ in emerging global markets
LOC for STD
Europas
as
Innovator
???
Remote eye dia gnostics
Mobile Ultrasound
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