With the shift of the scope of societal issues to the system level and long-term impact, the individual threatens to be lost from sight. Socio-technical systems are often hard to comprehend for people. Within that growing complexity it’s important to (permanently) shift back to the human experience, the significance for a culture or community and the personal or user experience. A countermovement is needed from global to local. What makes people happy? What moves them and what challenges them? And what degree of autonomy do they want to preserve or give up? With the growing (technological) possibilities, more and more often the questions arises of what we want to measure and know (‘quantified self’) and what we can do with all that data in varying domains such as e-health, education and museums.

3. Moderator: Karin Hagoort
DRIVE I
THE HUMAN TOUCH

4. MEANINGFUL DATA
& SMART FASHION

5. FROM DATA TO HEALTHCARE:
BRIDGING THE GAP
Marijana Radonjic
NEXT STOP

6. Marijana Radonjic, PhD
co-founder & CEO EdgeLeap B.V.
Human Touch: Meaningful data & smart fashion,
Design, Research & Innovation (DRIVE) festival
Eindhoven, The Netherlands
October 25, 2017
FROM DATA TO HEALTHCARE:
BRIDGING THE GAP

7. HEALTH IS COMPLEX

8. MEASURING HEALTH

9. FROM DATA TO DECISIONS
9
Extract
Standardize
& Process
Analyse
Visualize

10. DATA FOR HEALTH: TEAMING UP

11. UMCU CASE: WHAT IS WRONG WITH
PSYCHIATRY?
NEW WAYS: WEARABLES AND A
COMPUTE-VISITS-DATA MODEL
Floor Scheepers
NEXT STOP

12. DRIVE 2017
Floortje Scheepers
2017

13. Symptoms Brain function Genes
What do we know about the disturbed mind?

14. 1. DSM was born 1952
schizophrenia mania depression Autism

15. 2. Investigating the brain
Structure Activity Function

16. 3. Investigating genes

17. 4. EPI-genetics

18. From causality to
risk profiling
Why mal
function
??

19. Exposome


Genome
Microbiome
Quantified Self

20. Wearables to collect real life data

21. Compute visits data, 4 mental health hubs

22. HOSPITAL DATA: STORAGE,
SOURCES AND PRIVACY ISSUES
THE PILOT: LESSONS LEARNED
Karin Hagoort
NEXT STOP

23. Pilot: applied data analytics to improve care
Theme
selection
Preparation, exploration
analysis
Deployment

24. Data sources
Data sources:
Internal: Electronic Patient Records
(e.g. diagnose, reports,
medication, measurements)
Incident registration (e.g. agression)
External: Neighbourhood statistics (CBS)
Weather information (KNMI)
Green/blue space in environment (UU)

25. Storage, datamanagement and privacy
Database
open tables
Research
Data platform
100+ tables
Pseudonymised

26. Linked data
CBS
neighb
ourhoo
d
Admis
sion
Diagno
se
Agre
ssion
….
Anonymisation
Results
Checksmallgroups
Prepare, explore, analyze and interpret

27. Example 1. Agresssion during admission

28. Example 2. Nurse reports
More important: what is a good report?

29. • Gutt feelings could be directly tested.
• Differences and similarities between wards, patient groups
etc. became clear.
• The conversation about opportunities for improvements was
opened.
• Better administration/registration by health care professionals
was encouraged.
• The need for business information became clear.
Important spinoffs

30. Scaling up: new challenges

31. PSYCHIATRY DATA PROCESS
PLATFORM
Marijana Radonjic & Thomas Kelder
NEXT STOP

32. Thomas Kelder, PhD
Marijana Radonjic, PhD
EdgeLeap B.V.
Design, Research & Innovation (DRIVE) festival, Eindhoven, The Netherlands
October 25, 2017
PSYCHIATRY DATA PROCESS
PLATFORM

33. Extract
Standardize
& Process
Analyse Visualize
DATA PROCESS: BEFORE
RDP
IMS
DWH
CBS
KNMI

34. DATA PROCESS PLATFORM: REQUIREMENTS
Flexible
• Support different scripting languages and tools
• Facilitate experimenting with new data, transformations & tools
Modular & scalable
• Easy to extend with new data scources, tools, scripts for future applications
• Clear structure, code and documentation
• Minimizing manual actions
Usable & maintenable
• Compatible with expertise of the (current) data team
• "Self-service" for changes and extensions
• Acceptance of nurses / caretakers
• Fit to the global (future) hospital infrastructure
Fast & lean
• Quick learning loop: build – experiment – learn – improve. Stepwise iterative improvement cycle, towards
an organisation-wide solution.
• First functional version ready in 2016

35. DATA PROCESS: AFTER
Connects to proprietary patient
data platforms.
Include any public
dataset.
Code repository to organize
scripts and stimulate code
sharing, version control for
provenance and collaboration.
Pipeline platform to automate repetitive analyses or pipelines. Full run
history for reproducibility. Ultimately flexible, scalable, and compatible
with both open source and proprietary analysis tools. Built to evolve.
Empower data scientists to
perform reproducible
analyses using their
favorite tooling.
Enable combining
proprietary and open
source tools.
Improve connection between
data scientist and bedside by
generating automated
infographics reports.

36. SUSTAINABLE DATA PROCESS
 An eye for a complex stakeholder environment
 Streamlined process, automated where possible
 Data science culture: sharing & exchange, transparency
 Stimulates collaboration & communication

37. THE FUTURE IS NOW
Karin Hagoort & Marijana Radonjic
NEXT STOP

38. The platform in use
- Output tables already used in more than 20 projects
- Clear agreements about datamanagement (IT,
datamanager, data scientist)
- Further development of the platform: e.g. psydata
package, new pipelines

39. Current project
- Monthly infographics
- Prediction of medication effect of antipsychotics and
antidepressants.
- “Track and trace” in referral procedure
- Numerous ad-hoc questions

40. THE FUTURE IS NOW
ACTUAL
Systematic, real-time monitoring of
your information resources.
USABLE
Presenting information through
smooth user experience that
invites to play and explore.
SMART
Intelligent information mining models
trained to reflect how you think.
Stay tuned! info@edgeleap.com
SCALABLE
Different resources and processing
steps are independent apps or
microservices.

41. WEARABLE SURVEILLANCE: USING
SMART FASHION FOR SELF-
TRACKING
Lianne Toussaint
NEXT STOP

42. Lianne
Toussaint
RADBOUD UNIVERSITY NIJMEGEN
Wearable Surveillance:
Using Smart Fashion for Self-tracking

43. “And now,” the doctor said, tapping Mae’s wrist monitor,
“now it’s active. It’ll collect data on your heart rate, blood
pressure, cholesterol, heat flux, caloric intake, sleep duration,
sleep quality, digestive efficiency, on and on. A nice thing for
the Circlers, especially those like you who might have
occasionally stressful jobs, is that it measures galvanic skin
response, which allows you to know when you’re amped or
anxious. When we see non-normative rates of stress in a
Circler or a department, we can make adjustments to the
workload, for example.”
--- Dave Eggers (2013), The Circle, pp. 155-156.
“

44. Wearable Surveillance

46. “Smart” Fashion
CRISP, ‘Vigour’ by-wire.net WE:EX
Cutecircuit
Exmovere Ralph Lauren
Hövding

47. Body-Borne
Body-Worn
Body-Based
Image credit: Trend One Blog (2011)

48. Byborre x CWI, ‘BB Suit 3.0’ (2015)

49. Wearable Surveillance
Through Smart Fashion
• Personal
• Embodied
• Direct
• Multisensorial
• Intimate / Private
• Multiple
• Mobile
• Multidirectional
Byborre x CWI, ‘BB Suit 3.0’ (2015)

50. Pauline van Dongen, ‘Phototrope’ (2016).
Photography: JR Hammond

51. Pauline van Dongen, ‘PhysioPal’ (2016)
Photography: Wouter le Duc
• Voluntary
• Self-Surveillance
• The Quantified Self
• Self-management
• Self-care

52. “Personal data, such as our
thoughts, bodily signals,
feelings and emotions “take
their significance from the
fact that they are a kind of
currency of intimacy”
--- Gary Marx (2006) in: The New Politics of
Surveillance and Visibility, p. 91

53. Sensoree, ‘AWE Goosebumps’ (2015)

54. • Empowered or Endangered?
• Freaky or Fun?
• Power relations
• The trap of ‘perceivability’
• Care vs. Control
The Human Touch?

55. More information
www.craftingwearables.comPhD Candidate | Lecturer
Radboud University Nijmegen
Dept. of Cultural Studies
l.toussaint@let.ru.nl
Lianne Toussaint Crafting Wearables

56. DISCUSSION &
CLOSING

57. KEY INSIGHTS