deep innovation

mhealth and „reverse innovation“ Disrupting current business models

Dr. Thomas Wilckens, deep innovation April 2012

deep innovation

Mobil TV

eNewsPaper

eMobility

2003 Phone OS 2004 Telematics 2006 eNewspaper

2007 mobileTV 2008 mHealth 2010 eCar Management

Open Mobile Operator OS >The roots of Andoid< OS Plattform for Mobile Demo: first 3D MobilePhone

2

Responsible for trend identification, creativity mgt., pilot projects, Spin-out, restructuring, Start-Ups.

Selected experiences and products: Telematics, Logistics, ICT, Health Care & Drug Development

National ICT Summit December 6th 2011 ICT 2030

deep innovation

Systems inefficiency as percent of total economic value by system

3

Potential for improvement in health care app. 2 Trillionen US$ Source IBM

Economic efficiency from data akqisition, storage, extraction and analysis

Optimal field for innovative services and novel business models based on

Innovation

18%

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)

deep innovation

Mobile ICT Technologies: Gamechanger and Enablers mobile technologies induce disruptive innovation

LTE/4G Networks: Ubiquitous & 5x faster than UMTS

Attributes of the world population: • only 70% access to clean water • 90% lack access to medical treatment • 90% accessible via mobile technologies

Mobile device projection smartphones outpace PCs

Mobile computing: • Tablets and smartphones enable

connected life • Always online, always accessible

deep innovation Anticipating the convergence of all aspect of life mobile computing, -health/fitness/wellness

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Mobile computing

deep innovation

Wellness, health & fitness monitoring: Cloud based data storage, analysis and services

deep innovation Dezentralisation versus centralisation: mobile computing as disruptive Innovation

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Centralised IT-technologies only for few solvent clients

Ubiquitious access disrupted exitisting business models, industries and society

deep innovation Dezentralisierung in diagnostics: mobile computing and cloud technologies drive disruption

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The disruption off healthcare by mobile, wireless ICT is just at the beginning

deep innovation

Intelligente pill; eatable microelectronics

Mobile ICT Technologies: Gamechanger in Medicine mHealth examples and anticipated products

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Intracutane nanoparticles Calcium-Glucose

Litium, Biohazard

LOP Livertox-test

Air pollution

Bloodcellanalysis

Lab-on-paper (LOP)

deep innovation

Dada Mining, Expert System, Therapy, Context

matching

Data management, Personal health records

Monitoring, Analytics, distributed, secure data

storage and „HealthSecurity“

Mobile und portable vital data measurement,

Preprocessig and control

CASE-specific: User interface, Data representation, Alarm,

Parameters

Data transport, near field communication, mobil and fix

Non invarsive Sensoric

Lab on a chip Technologies

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The mobile diagnostics system value map: Structure, competences, plattforms, up-scaling & value added services (VAS)

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User- and administration interface Value added services (VAS) and APPs

Central platform functionalities with general application features; i.e.: • Secure data collection, storage, managment and

extraction/analysis • Monitoring and alarm • Personalised health records • Expertsystems for datamining, epidemiologic analysis,

therapeutic decisions etc. • Datatransmission via operator

Target case specific diagnostics/sensor and actuator at the frontend • Single point measurment • Repeated measurement (chronic monitoring) • Continuous measurement and monitoring

Standard Integration Core Tech Partners UseCase spec. Frontend tech

Non invasive sensors

deep innovation

mobile Lab on a chip (mLOC): Reducing costs and enabling new clinical trial strategies & theranostics:

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Secure data management

Data collection and secure transmission

Data reporting end remote

entree

Administration, Control, Monitoring, Exception Handling

Increasing challenges: Costs per drug trial 400 -1200k€ Increased number of patients required Extended trial durating

Selected advantages of mLOC • Reduced monitoring costs • Enabling new recruitment • Enabling remote patient enrolement

Potential for cost reduction 20-50% per trial

Proof of concept: Pfizer established FDA-approved first virtual mobile trial POC

Mobilized analytics instead of repeated trial center visits

Advantage of Pharmapartnering: non-regulated market with pressing innovation need

deep innovation

Munich Network 13

Mobile ICT technologies disrupt existing business New opportunities for innovative technologies and value added services

Prevention, Early diagnostis, Monitoring

Personalized Medicine, Theranostics

Point of Care Diagnostics

New products and services

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Present Future

deep innovation

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Reverse Innovation: More than a „proof of concept“ in emerging global markets

Europas as Innovator ???

Mobile Ultrasound

Remote eye dia gnostics

LOC for STD