In this Personalised Medicine Use Case presentation, you will find: An introduction to IoT Medical Device use case presented by: Beatriz Merino (Universidad Politécnica de Madrid) and Christos Kontogiorgis (Democritus University of Thrace) The current state and challenges of collection of Real World Data The negative impacts on Patients and Hospitals PharmaLedger’s blockchain solution for the future state Value added by PharmaLedger per actor involved This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 853992. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. Disclaimer: Any information on this presentation solely reflects the author’s view and neither IMI nor the European Union or EFPIA are responsible for any use that may be made of the information contained herein.

1. This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 853992.
This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
Disclaimer: Any information on this presentation solely reflects the author’s view and neither IMI nor the European Union or EFPIA
are responsible for any use that may be made of the information contained herein.
Open Webinar
A TRUST-CENTRIC HEALTHCARE JOURNEY PART II
Clinical Trial & Health Data Use Cases
24
FEB
3
MAR

2. This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 853992.
This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
Disclaimer: Any information on this presentation solely reflects the author’s view and neither IMI nor the European Union or EFPIA
are responsible for any use that may be made of the information contained herein.
Open Webinar
A TRU ST- C E N T R IC HEALT H C A R E J OURNE Y PART II
TOPIC 4 | Per sonalised Medicine
B e a t r i z M e r i n o
( U n i v e r s i d a d P o l i t é c n i c a d e M a d r i d )
C h r i s t o s K o n t o g i o r g i s
( D e m o c r i t u s U n i v e r s i t y o f T h r a c e )
24
FEB
3
MAR
In collaboration with UCB, TVS, CERTH, ICSI, OPBG

3. Copyright © 2021 PharmaLedger - All Rights Reserved
Negative impacts
P R O B L E M | C U R R E N T S T A T E
Real World Data (RWD) | Global healthcare data
Hospitals
(EHR)
Pharmacies Devices
Other medical
specialty
Health data
from other
patients
Patients
X Lack of direct or
indirect information
from data custodians
about the use of their
data in research
Hospitals
X No access to all medical
records with a complex
X Complex, costly and
time-consuming
process.
Current State
Application of
prediction model
1 2
Approved application:
Use population health data
to support diagnosis
Data
Prediction
Artificial
Intelligence or
multivariate
regression
3

4. Copyright © 2021 PharmaLedger - All Rights Reserved
O V E R A L L O B J E C T I V E
The Personalized Medicine use case aims at establishing a trusted environment that supports
patient-centric solutions for
(a) a value-based health delivery in clinical practice
(b) the generation of Real World Evidence (RWE) for research purposes.
This will be applied to improve the diagnosis, prevention and personalized treatment of patients.
Introduce new civil rights for
patient ownership and right of
portability.
Use integrated health data,
compliant with data privacy
regulations, for research
purposes to generate RWE.
Implement dynamic
permissioning for use in the
platform.
Leverage blockchain in combination
with Machine Learning and Artificial
Intelligence for the creation of
algorithms that can assist in
improving healthcare provision.

5. Copyright © 2021 PharmaLedger - All Rights Reserved
F U T U R E S T A T E
Real World Data (RWD) | Global healthcare data
Hospitals (EMR) Pharmacies Devices Optometrist
Patients
✓ Why and how my data is being used?
✓ What are they using my data for?
✓ Who has access to my data
Healthcare professionals
✓ Better prevention of risk factor
✓ More accurate diagnosis
✓ Personalized and effective treatment
Researchers
✓ Request access to patient’s
health data
Application prediction model
Based on data automatically gathered
from information collected from patient
Prediction
AI or multivariate regression

6. Copyright © 2021 PharmaLedger - All Rights Reserved
W H Y B L O C K C H A I N ?
Transparency Security Trust Interoperability
Grants complete
overview over own data
Allows data privacy
and security through
blockchain,
de-identification
Healthcare provision is
improved by better
clinical decisions,
making value-based
healthcare more
achievable
Improves the ability to
connect data and
reduces the delay time
from provision of RWD

7. Copyright © 2021 PharmaLedger - All Rights Reserved
Patients
✓ Enables patient data ownership
and right of portability
✓ Enhanced Trust: Grants complete
overview over own`s data
✓ Allows data privacy and security
through blockchain, de-
identification and encryption
✓ Better & personalized treatment
→ Less toxicity in polypharmacy,
less drug interaction, better health
outcome, improved wellness QoL
Data providers
✓ Increased confidence in data
integrity & Increased efficiency
automating process → no
integration
✓ Potential cuts to the healthcare
budget + hospital
decentralization + remote
diagnostics → e.g. better reaction
in epidemies
Physicians, researchers
✓ Allows better informed decisions→
avoid medical errors
✓ Better access to patient data→
granted access, through patient
permission→ full and accurate
medical records
✓ Healthcare provision → clinical
decisions & practice improved
✓ Reduce burden on integration
process (easier, less time &
resourceless)
✓ Improved ability to connect data
+ Reduces the delay time from
provision of RWD, coming as close
as possible to real time research
and provides more opportunities for
prospective studies.
S T A K E H O L D E R V A L U E P R O P O S I T I O N
Other
✓ Smart and secure healthcare
ecosystem
✓ Reduce incidence of fraud and
errors
✓ Healthcare provision is improved
by greater support of clinical
decisions, making value-based
healthcare more achievable
✓ Decentralized healthcare data
management (e.g. GDPR
compliance)
✓ Low cost of data management +
Fast retrieving data

8. This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 853992.
This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
Disclaimer: Any information on this presentation solely reflects the author’s view and neither IMI nor the European Union or EFPIA
are responsible for any use that may be made of the information contained herein.
T H A N K Y O U