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Blockchain
in Healthcare
May 15th, 2019
Quæfacta
Lea Dias, CEO & Co-founder

David Andrianavalontsalama, CPO & Co-founder
!3
France Australia
Average Length Of Stay (Acute Care) 5.7 days 4.2 days
Hospital admissions/year 12.7 M (2017) 11 M (2016/2017)
Hospital discharge rate/100 000 inhabitants 18,783 17,760
Doctors consultations per capita 6.1 7.7
Total nurses/1000 inhabitants 10.5 11.6
Number of CT scans in hospital/1000 inhabitants 124 13
Number of CT scans ambulatory/1000 inhabitants 81 114
Number of MRI exams in hospitals/1000 inhabitants 48.7 1.9
Number of MRI exams ambulatory/1000 inhabitants 65 43
Medical devices: Data production x times a day xxx xxx
Average number of medications prescribed on discharge xxx xxx
Average number of procedures in hospital xxx xxx
!4
Patient
!5
Case study
Patient :

• Mr J Doe

• 57yo male, morbidly obese, smoker

• PMHx: hypertension, hypercholesterolaemia, NIDDM

• Presents: Stroke like symptoms, dizziness,
confusion, weakness in limbs, speech difficulty, facial
drooping
!6
1. Examinations 2. Diagnosis 3. Emergency
treatment with
medications
4. Procedure 5. Treatment
team may
include:
6. Medications
post stroke
Ischaemic stroke



J Doe
Intravenous injection
of tissue
plasminogen
activator (tPA)

Angioplasty and
carotid artery stent

• Doctor trained in
brain conditions
(neurologist)

• Rehabilitation
doctor (physiatrist)

• Nurse

• Dietitian

• Physical therapist

• Occupational
therapist

• Recreational
therapist

• Speech
pathologist

• Social worker

• Case manager

• Psychologist or
psychiatrist
High blood pressure
medication

Blood thinners

Anti - coagulants 

Diuretics

Cholesterol medication 

Anti-fibrillation drug

Diabetic medication

Antidepressants
Physical examination

Blood tests

CT scan

MRI scan

Carotid ultrasound

Cerebral angiogram

Echocardiogram
Fragmentation and gaps in the transfer of information between hospital care and community care
Patient
Hospital
Providers
Hospital HealthcareCommunity Healthcare
Outpatient
clinicsGP Clinic /
Community Health
Home Health
Pharmacy
Wearable
devices
Laboratory
Rehabilitation
Screening
& diagnosis
Ambulatory
care
!7
1. Observable gaps in the transfer of
information

2. Lack of interoperability — Many
devices and practitioners interact and
do not share the full data

3. Procedures that should be implemented
are not, or not followed, or incomplete
!8
Medicines information, inpatient records, admission and discharge
information are often missing or poorly communicated by health
professionals within hospitals and to community health providers.

This may lead to:

‣ hospital readmissions;

‣ adverse drugs events;

‣ compromised patient care;

‣ serious or fatal outcomes.
!9
Consequences of siloed and missing information
!10
Patient
Role of blockchain Securely sharing
information
Interoperability
Traceability
Accountability
Fraud detection
Incentives
Data privacy
Analytics & AI
Multi-vendor + smart contracts
Vendor A
Vendor B
Vendor C
Auditing
system
hash
data
data
data
hash
hash
The data and
results are accurate
certification!
command

+ hash
data
Anchoring system using blockchain + smart contracts
!11
Interoperability
Patient
Hospital
Providers
Hospital HealthcareCommunity Healthcare
Outpatient
clinicsGP Clinic /
Community Health
Home Health
Pharmacy
Wearable
devices
Laboratory
Rehabilitation
Screening
& diagnosis
Ambulatory
care
!12
Securely sharing
information
!13
Pharma Pharma
Pharma /
Med device
Product
Development
Innovation
Active
Pharmaceutical
Ingredient
Manufacturing
Secondary
Manufacturing
ERP ERP ERP
Logistics Logistics
Distribution Supplier
ERP ERP
Logistics Pharmacist Customer
Wholesaler
Reseller
(Pharmacist
dispenses Rx

2D scan - WF1)
Patient
ERP
ERP
PIS
Smart device
Direct
to patient
Retail
Pharmacy
(Pharmacist
dispenses Rx

2D scan - WF1)
Hospital
Pharmacy
(Pharmacist
dispenses Rx

2D scan - WF1)
Supply chain logistics workflowTraceability
!14
TR TR TR
TR
TR
TR
TR
TR
TR
TR
TR
TR
Acquiring traces
!15
Traceability content: Who? What? Where? When? Why?

Traceability actor: Any known user + key

Acquisition tools 

Anchoring: Any known blockchain

Metrics: How many traces per device? How often? How long?
What a trace holds
!16
How we acquire a trace
Tool suite:

• API

• Mobile & desktop apps

• Dashboards
!17
TR TR TR
TR-1 TR-2 TR-3
!18
TR TR TR
TR-1 TR-2 TR-3
TR
TR-4smart contract
!19
TR
TR-XXX = 2000 lines
!20
TR
TR-XXX = 2000 lines
smart contract
TR TR-XXX-1
TR TR-XXX-2
TR TR-XXX-2000
TR TR-XXX-3
…
!21
Chain reconstitution
Whole chain
Partial view #1
etc.data

analysis
!22
Chain anchoring
Whole chain
Partial view #1
etc.
+ supervisor
validation
+ supervisor
validation
smart

contract
smart

contract
TR
TR-x
TR
TR-y
!23
Trace composition

Supply chain model

Diversity of actors

Incremental level of trust

What a chain holds
Data

Lake
!24
TR
TR
TR
BLOCKCHAINS Analysis
TR-SPEC TR-SPEC
Trace

reports Traceability

chains
Traces
validated
data
Data

retrieval
Analytics

dashboard
BUSINESS RULES
event
anchoring
+ 1 level

of trust
Data

Lake
!25
TR
BLOCKCHAINS Analysis
+ supervisor
validation
BUSINESS RULES
TR
TR-SPEC TR-SPEC
!26
Analytics & AI
Weighting the trust

Feedback loops

Pattern matching from theoretical chains

Statistical inference from actual chains
!27
Fraud detection
Pharma companies
• Detection of counterfeit medications. 

Governments/healthcare
• Detection of opioid/medication misuse, abuse and theft;

• Detection of inappropriate use of medications (including high cost
medication).

Insurance companies
• false claims/information by patients and providers to receive
payable benefits.
!28
Incentives
• Insurance companies may incentivise patient’s (data) for good
behaviour via a reward mechanism.

e.g. tokens for following a care plan or staying healthy.
• Pharma companies/medical institutions may incentivise patients
who provide data for research and clinical trials.
!29
4,567 steps
2 coins
cash in
Quæfacta
!30
We do:

• Blockchain traceability solutions in
healthcare

• AI, data acquisition and analytics
https://quaefacta.com

contact@quaefacta.com
Thank you!
May 15th, 2019

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Data Natives Paris 2019

  • 1. Blockchain in Healthcare May 15th, 2019 Quæfacta Lea Dias, CEO & Co-founder David Andrianavalontsalama, CPO & Co-founder
  • 2.
  • 3. !3 France Australia Average Length Of Stay (Acute Care) 5.7 days 4.2 days Hospital admissions/year 12.7 M (2017) 11 M (2016/2017) Hospital discharge rate/100 000 inhabitants 18,783 17,760 Doctors consultations per capita 6.1 7.7 Total nurses/1000 inhabitants 10.5 11.6 Number of CT scans in hospital/1000 inhabitants 124 13 Number of CT scans ambulatory/1000 inhabitants 81 114 Number of MRI exams in hospitals/1000 inhabitants 48.7 1.9 Number of MRI exams ambulatory/1000 inhabitants 65 43 Medical devices: Data production x times a day xxx xxx Average number of medications prescribed on discharge xxx xxx Average number of procedures in hospital xxx xxx
  • 5. !5 Case study Patient : • Mr J Doe • 57yo male, morbidly obese, smoker • PMHx: hypertension, hypercholesterolaemia, NIDDM • Presents: Stroke like symptoms, dizziness, confusion, weakness in limbs, speech difficulty, facial drooping
  • 6. !6 1. Examinations 2. Diagnosis 3. Emergency treatment with medications 4. Procedure 5. Treatment team may include: 6. Medications post stroke Ischaemic stroke J Doe Intravenous injection of tissue plasminogen activator (tPA) Angioplasty and carotid artery stent • Doctor trained in brain conditions (neurologist) • Rehabilitation doctor (physiatrist) • Nurse • Dietitian • Physical therapist • Occupational therapist • Recreational therapist • Speech pathologist • Social worker • Case manager • Psychologist or psychiatrist High blood pressure medication Blood thinners Anti - coagulants Diuretics Cholesterol medication Anti-fibrillation drug Diabetic medication Antidepressants Physical examination Blood tests CT scan MRI scan Carotid ultrasound Cerebral angiogram Echocardiogram
  • 7. Fragmentation and gaps in the transfer of information between hospital care and community care Patient Hospital Providers Hospital HealthcareCommunity Healthcare Outpatient clinicsGP Clinic / Community Health Home Health Pharmacy Wearable devices Laboratory Rehabilitation Screening & diagnosis Ambulatory care !7
  • 8. 1. Observable gaps in the transfer of information 2. Lack of interoperability — Many devices and practitioners interact and do not share the full data 3. Procedures that should be implemented are not, or not followed, or incomplete !8
  • 9. Medicines information, inpatient records, admission and discharge information are often missing or poorly communicated by health professionals within hospitals and to community health providers. This may lead to: ‣ hospital readmissions; ‣ adverse drugs events; ‣ compromised patient care; ‣ serious or fatal outcomes. !9 Consequences of siloed and missing information
  • 10. !10 Patient Role of blockchain Securely sharing information Interoperability Traceability Accountability Fraud detection Incentives Data privacy Analytics & AI
  • 11. Multi-vendor + smart contracts Vendor A Vendor B Vendor C Auditing system hash data data data hash hash The data and results are accurate certification! command + hash data Anchoring system using blockchain + smart contracts !11 Interoperability
  • 12. Patient Hospital Providers Hospital HealthcareCommunity Healthcare Outpatient clinicsGP Clinic / Community Health Home Health Pharmacy Wearable devices Laboratory Rehabilitation Screening & diagnosis Ambulatory care !12 Securely sharing information
  • 13. !13 Pharma Pharma Pharma / Med device Product Development Innovation Active Pharmaceutical Ingredient Manufacturing Secondary Manufacturing ERP ERP ERP Logistics Logistics Distribution Supplier ERP ERP Logistics Pharmacist Customer Wholesaler Reseller (Pharmacist dispenses Rx
 2D scan - WF1) Patient ERP ERP PIS Smart device Direct to patient Retail Pharmacy (Pharmacist dispenses Rx
 2D scan - WF1) Hospital Pharmacy (Pharmacist dispenses Rx
 2D scan - WF1) Supply chain logistics workflowTraceability
  • 15. !15 Traceability content: Who? What? Where? When? Why? Traceability actor: Any known user + key Acquisition tools Anchoring: Any known blockchain Metrics: How many traces per device? How often? How long? What a trace holds
  • 16. !16 How we acquire a trace Tool suite: • API • Mobile & desktop apps • Dashboards
  • 17. !17 TR TR TR TR-1 TR-2 TR-3
  • 18. !18 TR TR TR TR-1 TR-2 TR-3 TR TR-4smart contract
  • 20. !20 TR TR-XXX = 2000 lines smart contract TR TR-XXX-1 TR TR-XXX-2 TR TR-XXX-2000 TR TR-XXX-3 …
  • 21. !21 Chain reconstitution Whole chain Partial view #1 etc.data analysis
  • 22. !22 Chain anchoring Whole chain Partial view #1 etc. + supervisor validation + supervisor validation smart contract smart contract TR TR-x TR TR-y
  • 23. !23 Trace composition Supply chain model Diversity of actors Incremental level of trust What a chain holds
  • 24. Data
 Lake !24 TR TR TR BLOCKCHAINS Analysis TR-SPEC TR-SPEC Trace reports Traceability chains Traces validated data Data retrieval Analytics dashboard BUSINESS RULES event anchoring
  • 25. + 1 level
 of trust Data
 Lake !25 TR BLOCKCHAINS Analysis + supervisor validation BUSINESS RULES TR TR-SPEC TR-SPEC
  • 26. !26 Analytics & AI Weighting the trust Feedback loops Pattern matching from theoretical chains Statistical inference from actual chains
  • 27. !27 Fraud detection Pharma companies • Detection of counterfeit medications. Governments/healthcare • Detection of opioid/medication misuse, abuse and theft; • Detection of inappropriate use of medications (including high cost medication). Insurance companies • false claims/information by patients and providers to receive payable benefits.
  • 28. !28 Incentives • Insurance companies may incentivise patient’s (data) for good behaviour via a reward mechanism.
 e.g. tokens for following a care plan or staying healthy. • Pharma companies/medical institutions may incentivise patients who provide data for research and clinical trials.
  • 30. Quæfacta !30 We do: • Blockchain traceability solutions in healthcare • AI, data acquisition and analytics https://quaefacta.com contact@quaefacta.com Thank you! May 15th, 2019