Disruption By Mobile 042012


Published on

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.

  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Disruption By Mobile 042012

  1. 1. deep innovationmhealth and „reverse innovation“Disrupting current business modelsDr. Thomas Wilckens, deep innovationApril 2012
  2. 2. deep innovationSelected 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 2030Responsible for trend identification, creativity mgt., pilot projects, Spin-out, restructuring, Start-Ups. 2
  3. 3. deep innovationSystems 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 3
  4. 4. deep innovation mhealth: a global trendmhealth refers to the use of mobilecommunication and devices for providinghealthcare services or achieving healthoutcomesmHealth comprises wellness, fitness andmedical services (prevention & treatment)
  5. 5. deep innovationMobile ICT Technologies: Gamechanger and Enablersmobile 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. 6. deep innovationAnticipating the convergence of all aspect of lifemobile computing, -health/fitness/wellness Mobile computing 6
  7. 7. deep innovationWellness, health & fitness monitoring:Cloud based data storage, analysis and services
  8. 8. deep innovationDezentralisation versus centralisation:mobile computing as disruptive Innovation Centralised IT- technologies only for few solvent clients Ubiquitious access disrupted exitisting business models, industries and society 8
  9. 9. deep innovationDezentralisierung in diagnostics:mobile computing and cloud technologies drive disruption The disruption off healthcare by mobile, wireless ICT is just at the beginning 9
  10. 10. deep innovationMobile ICT Technologies: Gamechanger in MedicinemHealth examples and anticipated products Intelligente pill; eatable microelectronics Lab-on-paper (LOP) Litium, Biohazard LOP Livertox-test Air pollution Intracutane nanoparticles Calcium-Glucose Bloodcellanalysis 10
  11. 11. deep innovationThe 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. 11
  12. 12. deep innovationmobile 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 12
  13. 13. deep innovation Mobile ICT technologies disrupt existing business New opportunities for innovative technologies and value added services Prevention, Early diagnostis, MonitoringMobile/wireless disruption Personalized Medicine, Theranostics Next disruption Point of Care Diagnostics New products and services Present Future Munich Network 13
  14. 14. deep innovationReverse Innovation:More than a „proof of concept“ in emerging global markets LOC for STD Europas as Innovator ??? Remote eye dia gnostics Mobile Ultrasound 14
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.