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 I I

Cl in ica l Tr ia l & Heal th Data Use Cases

24

FEB

3

MAR

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 WebinarA T R U S T- C E N T R I C H E A LT H C A R E J O U R N E Y PA RT I I

TO P I C 4 | P e r s o n a l i s e d M e d i c i n eB 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

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

PredictionArtificial

Intelligence or

multivariate

regression

3

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.

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

PredictionAI or multivariate regression

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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

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

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