Presentation to DayOne accelerator on the opportunity and challenges of working with Big Pharma by Frank Kumli, BaselArea.swiss and DayOne

1. 1
An initiative managed by BaselArea.swiss in close collaboration
with the Canton of Basel-Stadt
Pharma Masterclass: The Digital Health opportunity at Big Pharma

2. It is time to wake up
…also in Healthcare!
2

3. Agenda
3
Trends2
The opportunity3
Big Pharma1
Working with Big Pharma4

4. Big Pharma

5. Top 10 Pharma and global Pharma spending
5

6. Top 10 Leading Therapeutic Areas
6

7. Drug Development Process
7
https://spharm-inc.com/the-drug-review-and-approval-process-in-canada-an-eguide/

8. Pharma Cash flows
8

9. Trends

10. The health services landscape is in the midst of a massive shift
1 0
https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/digital/ey-when-the-human-body-is-the-biggest-data-
platform-who-will-capture-value.pdf

11. Pharma: a broken Business Model
An industry that needs to reinvent itself
1 1
Source: https://www.technology<eview.com/s/609647/google-has-released-an-ai-tool-that-makes-sense-of-your-genome/©

12. Pharma sales reps
Changing business model for Pharma
1 2
https://www.scoop.it/topic/pharmaguy-s-take-on-drug-industry-news/p/4041114978/2015/04/10/pharma-sales-reps-declined-denied

13. It is time to wake up
…also in Healthcare!
13

14. Why? The Healthcare reality: Complexity
Wasteful and not patient centric
1 4
Source: http://www.icosystem.com/simplifying-the-complexity-of-healthcare/

15. Why? The Healthcare opportunity: Efficiency
Probably the biggest business opportunity around
1 5
Source: https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=HLW03016USEN

16. Non traditional player 1: Tech
Data, data, data…and trust
16
https://www.bloomberg.com/news/articles/2018-11-01/apple-watch-heart-study-with-stanford-signs-up-400-000-people/

17. Non traditional player 2: Platforms
GAFA and BATX
17
https://www.mddionline.com/amazon%E2%80%99s-latest-move-medtech-big-deal
https://www.pymnts.com/amazon-commerce/2017/amazon-prepares-to-sell-online-pharmaceuticals

18. Non traditional player 3: Retail
In your community, outside of expensive care settings
18
Source: https://www.japantimes.co.jp/news/2017/03/06/business/lawson-offers-specialized-services-elderly-customers/#.Wk8wPLaZP-Z

19. Non traditional player 4: Insurance
Pay-as-you live!
https://www.digfingroup.com/muang-thai/
https://www.digfingroup.com/muang-thai/
https://www.scmp.com/tech/enterprises/article/2173657/ping-good-doctor-blazes-trail-developing-unstaffed-ai-assisted/

20. Non traditional player 5: THE PATIENT!
Needs to be be at the center
20
Source: Source: https://www.pymnts.com/amazon-commerce/2017/amazon-prepares-to-sell-online-pharmaceuticals

21. Industry Convergence!
Across all industries – Healthcare is next
21
https://www.weforum.org/agenda/2018/11/how-the-biological-century-will-transform-healthcare/

22. New tech and cost constraints shift power away from life sciences
https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/digital/ey-when-the-human-body-is-the-biggest-data-
platform-who-will-capture-value.pdf

23. Impact on Big Pharma

24. What’s at stake?
A unique desity of life sciences companies
2 4

25. What’s at stake for the region?
A unique density of life sciences companies
2 5

26. What’s at stake?
The Basel Region has a long standing tradition in reinventing itself!
2 6

27. What’s at stake?
Taking the next step forward
2 7

28. Industry transformation in Basel
An acceleration of business transformation!
2 8
https://www.bloomberg.com/news/articles/2018-10-09/sneaking-into-patients-pockets-one-medical-app-at-a-time/
https://www.mobihealthnews.com/content/pear-therapeutics-novartis-announce-commercial-launch-reset

29. Life Sciences 4.0: From blockbuster products to data-driven platforms
2 9
https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/digital/ey-when-the-human-body-is-the-biggest-data-
platform-who-will-capture-value.pdf

30. Business Models
https://consulting.ey.com/better-with-age-the-silver-opportunity/

31. The opportunity

32. Pain points across the Pharma value chain
3 2
Research
► Costs
► Patient
recruitment,
retention
maintenance
and efficiency
► RWE
requirements
► Patient data
management
Manufacturing
► Efficiency
► Agility
► Smaller,
personalized
batches
► Gene therapy
manufacturing
Supply
Chain
► Forecasting
and planning
► Medical
supply
tracking
► Counterfeit
avoidance
► Cold chain
M&S
Access
► Changing
Physician,
Payor and
Patient
behaviour
► Digitalization
► Regulatory
requirements
► Demonstratio
n of value
(RWE)
► Risk sharing
agreements
► Unhealthy
lifestyles
► Pressure for
pharma to
engage
beyond
treatment
► Lack of
awareness
► Poor patient data management
► Treatment complexity
► Poor care transition
► Late diagnosis
• Complex
diagnosis
► treatment
► Lack of
awareness
Patient Experience
Prevention Diagnosis Follow-upTreatment
► Remote care
► Discharge
management
► Health care
management
solutions
► Personalized
health
management
► Lack of
adherence
(Concordance
+ compliance)
► Treatment
complexity
Healthcare Systems - Hospitals
► Cost
► Productivity
► Translationa-
bility
► Rigidity of
research
organizations
Development

33. Examples of Digital disruption is occurring across the value chain
3 3
Research
► Virtual trials /
centralized
monitoring
► Enrolment
prediction;
Recruitment
platforms
► Real-world
data collection
and analysis
► Digital
biomarkers
► Robotic
Process
Optimization
Manufacturing
► Automation
► Preventive
maintenance
► Simulation
► Continuous
manufacturing
► 3D printing
► Gene and
personalized
drugs
manufacturing
Supply
Chain
► Digital supply
chain
management
► Inventory and
asset
management
enabled by
connected
software
► Autonomous
mobile robot
enabled supply
management
► Medical supply
tracking
M&S
Access
► Digital supply
chain
management
► Supply chain
simulation
► Inventory and
asset
management
enabled by
connected
software
► Automation,
Autonomous
mobile robot
enabled supply
management
► Patient
engagement
► Behavioural
change
► Consumer
genomics
► Digiceuticals
► Electronic health and medical records
► Clinical Decision Support
► Patient and physician engagement solutions
► Lean, agile trainings
► New
approaches to
(companion)
diagnostics
► Clinical
Decision
Support
► Consumer
diagnostics
Patient Experience
Prevention Diagnosis Follow-upTreatment
► Remote care
► Discharge
management
► Health care
management
solutions
► Personalized
health
management
► Clinical
Decision
Support
► Beyond the pill
solutions
► Treatment
management
solutions
Healthcare Systems - Hospitals
► Predictive
modelling
► R&C
controlling
Development

34. Working with big Pharma

35. 10 commandments
3 5
https://www.healthxl.com/blog/12-commandments-for-startup-and-corporate-relationships?utm_source=twitter&utm_medium=social&utm_campaign=always-on+-
+12+commandments+for+digital+health&utm_content=post+-+blog+infograph

36. www.dayone.swiss
#dayonebasel
LinkedIn Groups:
„DayOne – Innovation Hub for
Precision Medicine“