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160929 teamscope presentation molecule to business

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Teamscope; mHealth, a paradigm shift in clinical reseach. Presentation by Diego Mechaca during 'From Molecule to Business' event by SMB Life Sciences and Health Valley at NovioTechCampus, Nijmegen, The Netherlands on September 29, 2016.

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160929 teamscope presentation molecule to business

  1. 1. mHealth: A paradigm shift in clinical research Diego Menchaca, CEO teamscope.co
  2. 2. Source: Flickr/Robert Guerra Early clinical research data management
  3. 3. Electronic Data Capture (EDC) Systems Was replaced with
  4. 4. CRFweb Then came the cloud crfweb.com
  5. 5. Automatic data validation Monitor progress per patient Quicker access to data Study compliance: EU, FDA, GCP, etc. Benefits of EDC
  6. 6. Automatic data validation Monitor progress per patient Quicker access to data Study compliance: EU, FDA, GCP, etc. Benefits of EDC “Reduces study cost by 5x “Cuts study time by 30% Comparison of Electronic Data Capture with Paper Data Collection – Is There Really an Advantage? by Dr Thomas Bart
  7. 7. Although the benefits of EDC are evident, developing countries have been to slow adopt it
  8. 8. 1. Not easy to use
  9. 9. Source : karuna-shechen.org 2. Infrastructure can be limited
  10. 10. Source: Dimagi 3. On-site training and support is needed
  11. 11. If only we could eradicate pen & paper clinical research in developing countries
  12. 12. teamscope.co
  13. 13. teamscope.co 1. Easy to use 2. Works offline 3. GCP compliant
  14. 14. Wajir, Kenya
  15. 15. Source: Capacities for Health
  16. 16. Source: Capacities for Health
  17. 17. Source: Capacities for Health
  18. 18. Bosaso, Somalia
  19. 19. Source: Capacities for Health
  20. 20. Source: Capacities for Health
  21. 21. Source: Capacities for Health
  22. 22. Concepts to understand the EDC transition in developing countries3
  23. 23. Empowerment starts with usability 1
  24. 24. Do them a favor, don’t train them… Apps have a shorter learning curve than software
  25. 25. Rural healthcare is not static 2
  26. 26. last but not least
  27. 27. 3
  28. 28. Scalability
  29. 29. Examples of mobile scalability in clinical research
  30. 30. mPower Parkinson Study Participants in one week 8.000
  31. 31. The mPower study, Parkinson disease mobile data collected using ResearchKit Brian M. Bot1 , Christine Suver1 , Elias Chaibub Neto1 , Michael Kellen1 , Arno Klein1 , Christopher Bare1 , Megan Doerr1 , Abhishek Pratap1 , John Wilbanks1 , E. Ray Dorsey2 , Stephen H. Friend1 & Andrew D. Trister1 Current measures of health and disease are often insensitive, episodic, and subjective. Further, these measures generally are not designed to provide meaningful feedback to individuals. The impact of high- resolution activity data collected from mobile phones is only beginning to be explored. Here we present data from mPower, a clinical observational study about Parkinson disease conducted purely through an iPhone app interface. The study interrogated aspects of this movement disorder through surveys and frequent sensor-based recordings from participants with and without Parkinson disease. Benefitting from large enrollment and repeated measurements on many individuals, these data may help establish baseline variability of real-world activity measurement collected via mobile phones, and ultimately may lead to quantification of the ebbs-and-flows of Parkinson symptoms. App source code for these data collection modules are available through an open source license for use in studies of other conditions. We hope that releasing data contributed by engaged research participants will seed a new community of analysts working collaboratively on understanding mobile health data to advance human health. Design Type(s) observation design • time series design • repeated measure design OPEN SUBJECT CATEGORIES » Research data » Neurology » Parkinson’s disease » Medical research Received: 07 December 2015 Accepted: 02 February 2016 Published: 3 March 2016 www.nature.com/scientificdata
  32. 32. The mPower study, Parkinson disease mobile data collected using ResearchKit Brian M. Bot1 , Christine Suver1 , Elias Chaibub Neto1 , Michael Kellen1 , Arno Klein1 , Christopher Bare1 , Megan Doerr1 , Abhishek Pratap1 , John Wilbanks1 , E. Ray Dorsey2 , Stephen H. Friend1 & Andrew D. Trister1 Current measures of health and disease are often insensitive, episodic, and subjective. Further, these measures generally are not designed to provide meaningful feedback to individuals. The impact of high- resolution activity data collected from mobile phones is only beginning to be explored. Here we present data from mPower, a clinical observational study about Parkinson disease conducted purely through an iPhone app interface. The study interrogated aspects of this movement disorder through surveys and frequent sensor-based recordings from participants with and without Parkinson disease. Benefitting from large enrollment and repeated measurements on many individuals, these data may help establish baseline variability of real-world activity measurement collected via mobile phones, and ultimately may lead to quantification of the ebbs-and-flows of Parkinson symptoms. App source code for these data collection modules are available through an open source license for use in studies of other conditions. We hope that releasing data contributed by engaged research participants will seed a new community of analysts working collaboratively on understanding mobile health data to advance human health. Design Type(s) observation design • time series design • repeated measure design OPEN SUBJECT CATEGORIES » Research data » Neurology » Parkinson’s disease » Medical research Received: 07 December 2015 Accepted: 02 February 2016 Published: 3 March 2016 www.nature.com/scientificdata This is just the tip of the iceberg
  33. 33. $30 USD Cost of devices is drastically decreasing
  34. 34. +220mAfrica +130mIndia Estimated smartphone users by 2020
  35. 35. We think that its restrictions and limitations that we face in low-resource settings what fuels our creativity.
  36. 36. Muchas gracias :-) dmenchaca15 Diego Menchaca, CEO teamscope.co

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