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Is Big DataAlwaysGood Data?
MEDTEC EUROPE 2018
STUTTGART
17 APRIL 12:00 – 12:30
DR. ANDREW RUT
CHIEF EXECUTIVE
OFFICER
“
”
Each year about a million biomedical
studies are published in the scientific
literature. And many of them are
simply wrong.
Rigor Mortis: how sloppy science creates worthless
cures, crushes hope and wastes billions*
*Richard Harris
** Six red flags for suspect work C. Glenn Begley
What is big data?
“Data of a very large size, typically to the extent that its
manipulation and management present significant and logistical
challenges.” – OxfordEnglishDictionary
“The ability of society to harness information in novel ways to
produce useful insights or goods and services of significant
value [and] things one can do at a large scale that cannot be
done at a smaller one, to extract new insights or create new
forms of value.” – ViktorMayerSchönberger and Kenneth Cukier;BigData
Medical big data
“The totality of data related to patient
healthcare and wellbeing.”
– Raghupathi 2014
‘The amount of data you slough off everyday—in lab tests, medical
images, genetic profiles, liquid biopsies, electrocardiograms……is
overwhelming…...
Throw in … medical claims, clinical trials, prescriptions,
academic research, and more, and the yield is ~ 750 quadrillion
(1015) bytes every day—or some 30% of the world’s data
production. ’
Fortune Magazine. April 2018
Sources of medical data
Medical research
Clinical trials
Cohort studies
Clinical information systems
Electronic health records
Patient examinations
Medical imaging
Mobile devices
Web searches
Social media
Insurance claims data
Public records
Routine population statistics and
major disease surveillance
Data reported by patients
AORTA (Always On Real Time Access): Continuous
Monitoring of Health Status
• New technologies and real-time, remote monitoring of health
status and treatment compliance – wearables, sensors, social
media
• New patterns of consumer/patient interaction with the healthcare
system and healthcare professionals (“expanded touch points”)
• Progressive evolution of a seamless blend of online and
physical services for clinical care and individual health risk Mx
Mobile devices, Wearables, Sensors and
Continuous Monitoring plus Social Media ……Your
Behaviour in now measurable
• Our actions can now be tracked and
measured with (GPS) precision
• Big data sets identify predictable behaviours
and individual risk patterns
• Ethical and legal issues – Security, Privacy,
ownership……… GDPR
Challenges
Quality
Inconsistency
Instability
Purity
Availability
Security
Cost
Access
Size
Regulation
Big data characteristics: 3Vs
Volume
• Scale of data
Velocity
• Rate of increase
Variety
• Different forms of data
What makes big data good data
Validity
‒ Information must be factually sound and reliable
Value
‒ Data must be meaningful, i.e. will it help people make decisions about
healthcare in the real world?
Plots show updated GFT model estimates compared with weighted CDC ILI-Net data for
(B) Mid-Atlantic HHS-2 Region States (New Jersey, New York), and local ILI surveillance
from emergency department ILI visit data for (C) New York City. (Olson et al; 2013)
Scatter plots of weekly excess influenza-like illness (ILI) visit proportions against
updated Google Flu Trends (GFT) model
Challenges of prospective use of internet
search algorithms:
Substantial flaws in GFT models identified
‒ missing and overestimating the intensity of the
epidemic
Reasons
‒ changes in internet search behavior
‒ differences in seasonality or geography
‒ Changes in age-distribution of the epidemics
Good
Small
data
teaches
us Big
things
An adverse event (AE) is any untoward medical occurrence in a patient or clinical
investigation subject administered a pharmaceutical product and which does not
necessarily have a causal relationship
An adverse drug reaction (ADR) is suspected to be causally related to the drug.
Safety of Medicines
AER Volumes rising (FDA data)
Consumer AE reports rising (FDA data)
“
”
Adverse drug events (ADEs) are an
increasingly relevant issue for healthcare
systems as they are associated with
poorer health outcomes and avoidable
misuse of resources
The Economic Burden of Inappropriate Drug Prescribing, Lack of Adherence and Compliance,Adverse Drug
Events in Older People;A Systematic Review; Carlos Chiatti,1 Silvia Bustacchini,1 Gianluca Furneri,1 Lorenzo
Mantovani,2 Marco Cristiani,3Clementina Misuraca4 and Fabrizia Lattanzio
H e a l t h c a r e b u r d e n o f A D R s
3.7% 39% 40%
ADRs account for
3.7% of hospital
admissions in the
Developed world.
~39% of ADRs in
pediatric patients
can be life
threatening or fatal.
Non-
adherence
Howard RL, Avery AJ, Slavenburg S, Royal S, Pipe G, Lucassen P, et al. Which drugs cause preventable
admissions to hospital? A systematic review. Br J Clin Pharmacol. 2007;63:136–47.
U SA AE R epor ts 2016; D ata G a p s
Rx
4.5B
AERs
1.7M
Serious AERs
>50% basic data missing
37% Age missing
0.57M
Institute for Safe Medicines; Quarter Watch Annual Report: July 2017
High Value Safety Data informs understanding of
products & their effect on patients
Value of Safety reports
directly proportional to the
amount
of clinically relevant
information.
Overall, only 1 in 8 of
reports provide the
desired level of
information
Physicians & consumers
using e-reporting tools
generate greater proportions
of well-documented reports
Dismissed importance
“Doctor said would have to live with side effects and did not seem to
care. Ignored complaints about symptoms”
“Acted as if it was in imagination. Don’t think
doctor believed me.”
Dismissed existence
Source: Beatrice A. Golomb et al, Physician Response to Patient Reports of Adverse Drug
Effects Implications For Patient-Targeted Adverse Effect Surveillance, Drug Safety 2007
Getting Purer data, faster from the
source
Get the right data first time on medicine
safety
Reportum
Multi-lingual, multi-platform safety
data capture solution
Configurable, intuitive design – Simple safety data collection
in real time
• Web, mobile APP (on/offline)
• Multi-language
• High availability on AWS GxP cloud
• Active workflow triggers questions based upon Event & Product
• Attachments and images supported (pathology data etc)
• Fully coded data (XML )
• Feeds AI and ML engines (learning and further processing)
User Interface flexibility is key
• Simple screens for rapid collection
• Body map selection mapped to a medical coding
library (MedDRA)
• Local languages available with coding libraries
BODY MAP SELECTOR
MULTI-LANGUAGE SOLUTION
HISTORICA
L
WEB
CALL
CENTR
E
DIRECT WITH
PSP TEAM
EMAIL LETTE
R
LITERATUR
E
FREE TEXT
WORKFLOW
FOLLOW UP
PASSIVE
HUMAN REPORTING
REPORTER
TEXT CONTAINING ‘REPORT’
PV FIRST
PV FIRST
PQC ICSR
EXCEPTION
REPORTING
AND QC
SAFETY EXPERT
REVIEW
CASE REVIEW
AND CODING
FULLY CODED
REPORTS
REAL TIME
AI ENGINE
AI ENGINE
Big & Good Data: Focus on the Individual
Real time
Monitoring &
Data integration
Data
Analytics
Individual risk
assessment &
Management
Genomics,
Diagnostics, Lifestyle
plus efficacy-safety
profile of medicines
AI/ML
Health
management plans
and optimized RX
A Drive to Personal Prediction, Prevention &
Management
Discover more at:
www.mymedsandme.com/Reportum

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Is Big Data Always Good Data?

  • 1. Is Big DataAlwaysGood Data? MEDTEC EUROPE 2018 STUTTGART 17 APRIL 12:00 – 12:30 DR. ANDREW RUT CHIEF EXECUTIVE OFFICER
  • 2. “ ” Each year about a million biomedical studies are published in the scientific literature. And many of them are simply wrong. Rigor Mortis: how sloppy science creates worthless cures, crushes hope and wastes billions* *Richard Harris ** Six red flags for suspect work C. Glenn Begley
  • 3. What is big data? “Data of a very large size, typically to the extent that its manipulation and management present significant and logistical challenges.” – OxfordEnglishDictionary “The ability of society to harness information in novel ways to produce useful insights or goods and services of significant value [and] things one can do at a large scale that cannot be done at a smaller one, to extract new insights or create new forms of value.” – ViktorMayerSchönberger and Kenneth Cukier;BigData
  • 4. Medical big data “The totality of data related to patient healthcare and wellbeing.” – Raghupathi 2014
  • 5. ‘The amount of data you slough off everyday—in lab tests, medical images, genetic profiles, liquid biopsies, electrocardiograms……is overwhelming…... Throw in … medical claims, clinical trials, prescriptions, academic research, and more, and the yield is ~ 750 quadrillion (1015) bytes every day—or some 30% of the world’s data production. ’ Fortune Magazine. April 2018
  • 6. Sources of medical data Medical research Clinical trials Cohort studies Clinical information systems Electronic health records Patient examinations Medical imaging Mobile devices Web searches Social media Insurance claims data Public records Routine population statistics and major disease surveillance Data reported by patients
  • 7. AORTA (Always On Real Time Access): Continuous Monitoring of Health Status • New technologies and real-time, remote monitoring of health status and treatment compliance – wearables, sensors, social media • New patterns of consumer/patient interaction with the healthcare system and healthcare professionals (“expanded touch points”) • Progressive evolution of a seamless blend of online and physical services for clinical care and individual health risk Mx
  • 8. Mobile devices, Wearables, Sensors and Continuous Monitoring plus Social Media ……Your Behaviour in now measurable • Our actions can now be tracked and measured with (GPS) precision • Big data sets identify predictable behaviours and individual risk patterns • Ethical and legal issues – Security, Privacy, ownership……… GDPR
  • 10. Big data characteristics: 3Vs Volume • Scale of data Velocity • Rate of increase Variety • Different forms of data
  • 11. What makes big data good data Validity ‒ Information must be factually sound and reliable Value ‒ Data must be meaningful, i.e. will it help people make decisions about healthcare in the real world?
  • 12.
  • 13. Plots show updated GFT model estimates compared with weighted CDC ILI-Net data for (B) Mid-Atlantic HHS-2 Region States (New Jersey, New York), and local ILI surveillance from emergency department ILI visit data for (C) New York City. (Olson et al; 2013) Scatter plots of weekly excess influenza-like illness (ILI) visit proportions against updated Google Flu Trends (GFT) model
  • 14. Challenges of prospective use of internet search algorithms: Substantial flaws in GFT models identified ‒ missing and overestimating the intensity of the epidemic Reasons ‒ changes in internet search behavior ‒ differences in seasonality or geography ‒ Changes in age-distribution of the epidemics
  • 16. An adverse event (AE) is any untoward medical occurrence in a patient or clinical investigation subject administered a pharmaceutical product and which does not necessarily have a causal relationship An adverse drug reaction (ADR) is suspected to be causally related to the drug. Safety of Medicines
  • 17. AER Volumes rising (FDA data)
  • 18. Consumer AE reports rising (FDA data)
  • 19. “ ” Adverse drug events (ADEs) are an increasingly relevant issue for healthcare systems as they are associated with poorer health outcomes and avoidable misuse of resources The Economic Burden of Inappropriate Drug Prescribing, Lack of Adherence and Compliance,Adverse Drug Events in Older People;A Systematic Review; Carlos Chiatti,1 Silvia Bustacchini,1 Gianluca Furneri,1 Lorenzo Mantovani,2 Marco Cristiani,3Clementina Misuraca4 and Fabrizia Lattanzio
  • 20. H e a l t h c a r e b u r d e n o f A D R s 3.7% 39% 40% ADRs account for 3.7% of hospital admissions in the Developed world. ~39% of ADRs in pediatric patients can be life threatening or fatal. Non- adherence Howard RL, Avery AJ, Slavenburg S, Royal S, Pipe G, Lucassen P, et al. Which drugs cause preventable admissions to hospital? A systematic review. Br J Clin Pharmacol. 2007;63:136–47.
  • 21. U SA AE R epor ts 2016; D ata G a p s Rx 4.5B AERs 1.7M Serious AERs >50% basic data missing 37% Age missing 0.57M Institute for Safe Medicines; Quarter Watch Annual Report: July 2017
  • 22. High Value Safety Data informs understanding of products & their effect on patients Value of Safety reports directly proportional to the amount of clinically relevant information. Overall, only 1 in 8 of reports provide the desired level of information Physicians & consumers using e-reporting tools generate greater proportions of well-documented reports
  • 23. Dismissed importance “Doctor said would have to live with side effects and did not seem to care. Ignored complaints about symptoms” “Acted as if it was in imagination. Don’t think doctor believed me.” Dismissed existence Source: Beatrice A. Golomb et al, Physician Response to Patient Reports of Adverse Drug Effects Implications For Patient-Targeted Adverse Effect Surveillance, Drug Safety 2007
  • 24. Getting Purer data, faster from the source Get the right data first time on medicine safety
  • 26. Configurable, intuitive design – Simple safety data collection in real time • Web, mobile APP (on/offline) • Multi-language • High availability on AWS GxP cloud • Active workflow triggers questions based upon Event & Product • Attachments and images supported (pathology data etc) • Fully coded data (XML ) • Feeds AI and ML engines (learning and further processing)
  • 27. User Interface flexibility is key • Simple screens for rapid collection • Body map selection mapped to a medical coding library (MedDRA) • Local languages available with coding libraries
  • 29.
  • 31.
  • 32. HISTORICA L WEB CALL CENTR E DIRECT WITH PSP TEAM EMAIL LETTE R LITERATUR E FREE TEXT WORKFLOW FOLLOW UP PASSIVE HUMAN REPORTING REPORTER TEXT CONTAINING ‘REPORT’ PV FIRST PV FIRST PQC ICSR EXCEPTION REPORTING AND QC SAFETY EXPERT REVIEW CASE REVIEW AND CODING FULLY CODED REPORTS REAL TIME AI ENGINE AI ENGINE
  • 33. Big & Good Data: Focus on the Individual Real time Monitoring & Data integration Data Analytics Individual risk assessment & Management Genomics, Diagnostics, Lifestyle plus efficacy-safety profile of medicines AI/ML Health management plans and optimized RX A Drive to Personal Prediction, Prevention & Management

Notas do Editor

  1. Understanding the safety of medicines What is the strength of evidence GiGo
  2. Alternative BMJ definition: “High-volume, high-velocity and/or high variety information assets that demand cost-effective innovative forms of information processing that enable enhanced insight, decision making and process automation.” - BMJ 2018; 360: j5910
  3. Strava and US troops
  4. Social media predictive of disease patterns???
  5. GFT model problematic: changes in internet search behavior differences in seasonality or geography Changes in age-distribution of the epidemics
  6. What is driving the increase in volumes? What is the contribution of intrinsic characteristics of patients? What is the contribution of manufacturing issues; diverted products in the supply chain How do MAHs currently determine whether the problem relates to the authentic medicine itself vs some other factor? How do Tracelink-Reportum connect this process most rapidly to identify Batch issues or diverted product? Patient; Authentic manufacturing issue; Diverted products……. Identify core issue Reconciliation of the core issue rapidly………how many days is saved in the process in Pharma
  7. Our belief is that the initial point of capture is key to quality processes downstream Ask relevant questions of the reporter based upon intelligent triggers to maximise data quality to fuel the safety process Do this by providing simple tools appropriate for the audience
  8. Seamless integration of complex, diverse and dynamic data for real-time monitoring of health status and risk management ! shift from reactive episodic care encounters to increasingly proactive risk mitigation ! progressive shift from management of overt disease to sustained wellness and continuity in care