disruption by mobile 042012
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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
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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
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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
Pilo
t im
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in s
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The mobile diagnostics system value map: Structure, competences, plattforms, up-scaling & value added services (VAS)
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Ho
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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
N
ext
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Mo
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/wir
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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
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