Data driven medicine - Perspectives on mHealth

677 views

Published on

Presentation in Data Driven Medicine conference, March 2012, Tampere/Finland
http://www.datadrivenmedicine.fi/data-driven-medicine/

Published in: Health & Medicine, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
677
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
22
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Data driven medicine - Perspectives on mHealth

  1. 1. Perspectives on mHealth business development Arto Leppisaari Tampere University of Technology Data‐Driven Medicine 28.3.2012
  2. 2. Project FelixResearch‐based business development project Department of Biomedical Engineering Tampere University of Technology Part of the new research group focusing into Personal Health Technologiesfor chronic disease management and prevention
  3. 3. ContentmHealth promise on chronic disease challengePersonal health monitoringBehavior changeMass market adoption barriers
  4. 4. ”World is ready for mHealth” 77% of the disease burden in Europe are accounted for disorders related to lifestyles 17,000 health and medical apps available 1 billion smartphone users by 2016 for download30% downloads at least one mHealth application 30% of doctors in US are using smartphone or  tablets in daily work 500 mHealth projects ongoing worldwide, showing that‐ costs related to data collection can be reduced by 24%.‐ costs in elderly care can be reduced by 25% Source: “Socio‐Economic Impact of mHealth”, Boston Consulting Group  and Telenor, Research2guidance, WHO
  5. 5. 5 Personal Health Monitoring Philips DirectLifeWithings Wellness Diary Weight Activity Daily Activity Weight Blood pressure Exercise Nutrition Sleep … Zeo SportsTracker 2.4.2012
  6. 6. Ease‐to‐use connected sensors everywhere169.5 million wearable wireless health and fitness sensors sold in 2017, up from 21 million in 2011.~90% supporting mobile phone connectivity, compared to 5% currently[ABI Research] NFC and Low Energy Bluetooth 4.0 technologies deployed in the majority of smartphones by the end of 2012  Tapping – new, intuitive way to interact  Wearable wireless sensors with long operating times Nike+ Fuelband VTT HearMeFeelMe
  7. 7. Data aggregation Open interfaces Connectivity platforms Standard interfacesPersonal Health Record (PHR) Standardised interfaces
  8. 8. Quantified SelfIt’s about understanding yourself, who you are, through numbers Compare Share
  9. 9. Health outcomes are largely produced by the citizen behaviors Determinants of  health status 70–90% of cardiovascular  disease, type II diabetes and  stroke would be avoided with  Social (15%) healthy lifestyles (Willet, 2002) Environmental (5%) Behavioral (40%) Health Care Lifestyle is very personal and  (10%) impacted by complex  motivational and value‐based Genetic (30%) factors McGinnis et al., Health Affairs 21(2), 2002
  10. 10. Knowledge‐behavior gap Most citizen have sufficient information about healthy lifestyles but this information does not transform into behaviors It is unlikely that more information alone would significantly improve the situation Human being is not a rational actor Most of our daily behaviors are automatic decisions
  11. 11. “Put hot triggers in the path of  motivated people” B.J Fogg Triggers http://designwithintent.co.uk/ http://persuasive‐patterns.com/
  12. 12. Right moment and incentive
  13. 13. Easy, fast feedback ‐ deep insights
  14. 14. mHealth adoption curve? Get through the day 11% Not right now 24% I need a plan 20% Value Independence 19% In it for Fun 17% Leading the Way 10%Health & Wellness segmentation in US[The Future Company] Diffusion of innovations [Rogers]
  15. 15. Healthcare provider role in mHealth mass market adoption Prescription Evidence based Provider engaged Shared cost
  16. 16. Case example: Exercise is medicine • Healthcare professional supervised,  evidenced based exercise program for  cardiac prevention and rehabilitation. • Exercises could be done at home, but currently health insurance support only gym training
  17. 17. Take away messages Technology infrastucture ready for mHealth To efficiently prevent and manage lifestyle diseases, a  behavioral change is needed. Citizen need to take  responsibility on own health We need solutions that make the healthy choice the easy choice. Persuasive technology as a great tool. Mobile Health need to be incorporated into healthcare  practices in order to create mass market adoption  Making the healthy choice the default choice
  18. 18. Tampere University of Technology Personal Health Technologiesfor chronic disease management and prevention Contact us!

×