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Big Data in Pharma
SMi present their inaugural conference on…

Manage and analyse big data to enhance R&D
and clinical trials for the future!

12th - 13th

Holiday Inn Regents Park Hotel, London, UK

MAY

2014

chairman

simon holt, Vice President, Global Head HEOR,
novartis pharma AG
Prior to this position Simon was the Global Head of Market
Access for the franchise responsible for specialty medicines
at Novartis. He is based in Basel. Simon brings a background in strategy
and operations management consulting from A.T.Kearney with him to
his role as well as a wide reaching international network of seniors in the
medical device, healthcare, pharmaceutical and diagnostic industries.

Key speakers include:

• nick brown, Innovation & Technology Architect, Chief Technology
Office, AstraZeneca
• stephanie manson, Director Global Health Outcomes, GlaxosmithKline
• Rob thwaites, Vice President, Health Economics and Epidemiology,
evidera and Chair, Pharmaceutical industry Health Information Group,
Abpi
• Xavier olba, Digital Business Strategy, sanofi Aventis
• Jan hauß, Head of R&D Laboratory Information Management System
(LIMS), merck KGaA
• dr Athula herath, Statistical Director, R&D Statistics, medimmune
• Rachel uphill, Enterprise / Information Architect, R&D IT Solutions,
Delivery & Integration, GsK medicines Research centre
• Kerstin Kleese van dam, Associate Division Director, Leader Scientific
Data Management Group, pacific northwest national laboratory

benefits of attending:

• Attend the only event to focus specifically on the impact of big data in
the pharmaceutical industry - how can you exploit its potential to
create better medicine and generate new revenue streams?
• Hear from knowledgeable speakers - our carefully researched
programme includes several exclusive case-studies from pharma and
biotechnology experts. Watch this space as more are announced!
• Discover how big data analysis can positively impact clinical trials by
acting on information in real-time
• Gain up to date insight on applications for heoR data in pharma

plus tWo inteRActive hAlF-dAY post-conFeRence WoRKshop
Wednesday 14th may 2014, holiday inn Regents park hotel, london, uK

A: legal and practical Aspects of cloud
computing

Workshop Leader: Jan hauß, head of R&d laboratory information
management system (lims), merck KGaA
8.30am - 12.30pm

b: designing and commissioning studies using big data to
support drug development and marketing

Workshop Leadesr: Rob thwaites, Vice President, Health Economics and Epidemiology,
evidera and Chair, Pharmaceutical industry Health Information Group, Abpi
Andrew paul cox, phd, Senior Research Associate, evidera
Radoslaw (Radek) Wasiak, phd, mA, msc, EU Director and Senior Research Scientist in Health
Economics, evidera

www.pharmabigdata.co.uk

1.30pm – 5.30pm
1.30 pm - 5.30 pm

Register online or fax your registration to +44 (0) 870 9090 712 or call +44 (0) 870 9090 711
AcAdemic & GRoups discounts AvAilAble

#bigdatapharma2014
big data in pharma

www.pharmab

day one i monday 12th may 2014
8.30

Registration & coffee

9.00

chairman's opening Remarks
simon holt, Vice President, Global Head HEOR,
novartis pharma AG

biG dAtA in clinicAl tRiAls
11.40

personalized medicine: using big data to individualize treatment;
the cancer example
• Reviewing constitutional factors influencing reaction of the host
on a drug
• Discussing cancer/host factors predicting clinical course, i.e.
prognosis
• Tumour cell biology identifying validated tumor-driving genomic
aberrations in drug-targeted genes/pathways ('predictive'
biomarkers)
professor hubert caron, Paediatric Oncology, emma children’s
hospital Amc Academic medical centre, university of
Amsterdam

12.20

networking lunch

1.50

leveraging existing data from legacy clinical trials
• Discover a goldmine at your fingertips
• Understanding how to prepare it for use
• Choice of a (set of) standard(s)
• Evaluating future developments
pantaleo nacci, Head Statistical Safety and Epidemiology/PV,
novartis vaccines and diagnostics

2.30

developing a robust and effective patient reported outcomes
(pRo) strategy for clinical trials
• Understanding the essential elements required to create a
successful PRO strategy
• Ensuring best practice for PRO use in trials, to improve the
quality of PRO information collected for:
- clinical care
- decision-making
- predicting long-term outcomes
- informing health policy
professor melanie calvert, Professor of Outcomes Methodology,
Primary Care Clinical Sciences, birmingham university

3.10

Afternoon tea

mAnAGement And AnAlYsis (pARt 1)
9.10

9.50

openinG AddRess
big data analytics…enabling the "insights from the whole patient
populations to a sample
• On development of a framework that may enable the analysis
of clinical data/standard care in real-time to keep abreast of
latest clinical research related to drug development
• Introducing high-performance analytics to enable timely and
accurate insights using
- data mining
- predictive analytics
- modelling and simulation of the possible outcomes of a
therapeutic intervention to stratify patient populations to
sieve through the best interventions for a patient strata
dr Athula herath, Statistical Director, R&D Statistics, medimmune
big data and the pharmaceutical industry: understanding how
industry initiatives can move opportunities with big data forward
for individual companies
• How has industry championed big data?...Examples from
multiple countries
• Case study - a decade of initiatives by industry in the UK
• Collaborative developments that will open up opportunities for
companies in the future
• How can developments at an industry level help a company’s
RWD strategy
Rob thwaites, Vice President, Health Economics and
Epidemiology, Evidera and Chair, Pharmaceutical industry Health
Information Group, Abpi

looKinG AheAd

10.30

morning coffee

3.40

beyond the horizon… building the ‘blueprint’ for a data-led
pharmaceutical industry of the future
• Understanding how the plethora of new data and improved
analytical techniques can enhance future innovation and feed
the drug-development pipeline
• Implementing standards, strategies and collaborations to
enhance products and provide wider medical value
• Discovering what your peers are prioritizing as part of their own
Big Dip strategies
Rachel uphill, Enterprise / Information Architect, R&D IT Solutions,
Delivery & Integration, GsK medicines Research centre

11.00

leveraging big data to study comparative effectiveness
research (ceR): a case example in multiple sclerosis
• Developing a systematic approach for identifying CER
opportunities for pharma
• MS is a complex, chronic disease that requires monitoring of
real-world effectiveness to inform clinical and economic
decision-making
• The use of data from multiple sources can overcome the
limitations associated with assessing outcomes using a single
source of information, such as individual database or registry
studies
• This combination of data sources provides useful critical
information on real-world outcomes in a general MS population
that can be used to complement data from clinical trials and
observational studies in MS
niklas bergvall, Senior Director, Global HE&OR Neuroscience,
novartis pharma

4.20

An
lessons learned so far! understanding big data and
disc el
ussio
its uses for the pharmaceutical world
n
• What has been learned
• Evaluating what has and hasn’t worked
• What are the next steps in the big data strategy
dr Athula herath, Statistical Director, R&d statistics, medimmune
pantaleo nacci, Head Statistical Safety and Epidemiology/PV,
novartis vaccines and diagnostics

5.00

chairman's closing Remarks and close of day one

p

sponsoRship And eXhibition oppoRtunities
smi offer sponsorship, exhibition, advertising and branding packages, uniquely
tailored to complement your company’s marketing strategy. prime
networking opportunities exist to entertain, enhance and expand your client base
within the context of an independent discussion specific to your industry. should
you wish to join the increasing number of companies benefiting from sponsoring
our conferences please call: Alia malick, director on+44 (0) 20 7827 6168 or
email: amalick@smi-online.co.uk

*Subject to final confirmation

Want to know how you can get involved?

interested in promoting your services to this
market?

contact humaira Kaiser, smi marketing on
+44 20 7827 6197, or email:
hkaiser@smi-online.co.uk

Register online at: www.pharmabigdata.co.uk • Alternatively fax y
big data in pharma

bigdata.co.uk
8.30
9.00

day two i tuesday 13th may 2014

Registration & coffee

2.30

chairman's opening Remarks
dr Athula herath, Statistical Director, R&D Statistics,
medimmune

love thy neighbour - creating stakeholder partnerships to
maximize expertise capabilities and develop innovative
medicines
• Understanding how collaboration can enhance drug research,
development, commercialization and delivery
• Evaluating how collaborative “open space” initiatives can
enable specific questions or share insights to be addressed
• Learn how partnerships can harnessing Big Data for the
development of innovative medicines
• Lessons learned from successful pharmaceutical, academic
and CRO collaborations
• Building strategic relationships to maximize quality
improvements, economic value and cost effective outcomes
nick brown, Innovation & Technology Architect, Chief
Technology Office, AstraZeneca
pAn
Kerstin Kleese van dam, Associate Division Director,
disc el
ussio
n
Leader Scientific Data Management Group,
pacific northwest national laboratory
stephanie manson, Director Global Health Outcomes,
GlaxosmithKline

3.10

Afternoon tea

mAnAGement And AnAlYsis (pARt 2)

9.10

9.50

10.30
11.00

11.40

12.20

1.50

openinG AddRess
observational research and heoR in the big data arena
• Understanding the various applications for HEOR data in
pharmaceuticals – an introduction to the value of HEOR
• Reviewing examples of how HEOR data has proved important
and how this might be impacted by the use of big data
• Big data sources of real world observational data
• Embedding real-world data collection into clinical
development programmes
stephanie manson, Director Global Health Outcomes,
GlaxosmithKline
discussing advances in predictive analytics
• In-depth analysis – how to get at the hidden nuggets in your
data
• New approaches to distributed data analysis – analytics @ the
edge
• Continuous, automated synthesis of new knowledge and
dynamic control - analysis in motion
Kerstin Kleese van dam, Associate Division Director, Leader
Scientific Data Management Group, pacific northwest national
laboratory
morning coffee

mARKetinG & sociAl mediA
3.40

improving pharmaceutical marketing performance using big data
solutions
• Developing a digital marketing strategy in the data age
• Leveraging social media to communicate your key brand
messaging and intent
• Managing and optimising clinical data to stay ahead of the
complex and challenging market environment
• Generate more informative evidence across the product
lifecycle with observational data
christopher Keenan, Director, Governance & Operations, Global
Medical Information, bms*

4.20

delivering a definitive social media strategy and culture within
pharma to deliver optimal patient healthcare and treatment
awareness
• Realizing how social media can be used to meet the goals for
better understanding patients and to find out about:
- unmet need
- new adverse events
- patient compliance
• Evaluating available opportunities within social media for drug
marketing
• Understanding how to effectively market your drugs via social
media
• Deciphering how the various popular mediums can be used –
twitter, YouTube, LinkedIn and Facebook
• Preparing for the challenges of drug advertising compliance
within social media
Xavier olba, Digital Business Strategy, sanofi

5.00

chairman’s closing Remarks and close of day two

the impAct oF biG dAtA on ReseARch And development

making the right connections! integrating data to guarantee
consistency and reliability in R&d
• Managing and integrating data generated at all stages of the
value chain, from discovery to real-world use, to derive maximum
benefit from technology trends
• Implementing strategies to integrate external and internal
content
Jan hauß, Head of R&D, laboratory information management
system (LIMS), merck KGaA
unlocking the power of big data to transform R&d productivity
• Measuring the value of big data to pharmaceutical R&D
• How to Ensure you Select the Right ELN for your R&D
• Identifying the right patients for the right drug in Phase II trial
stage using Big Data
usman iqbal, Senior Director of Oncology, Global Evidence &
Value Development, R&d/ med Affairs, sanofi
networking lunch

cReAtinG A biG dAtA oRGAnisAtionAl cultuRe &
buildinG stRAteGic pARtneRships

big data, small steps…. insight into our innovation network and how
nurturing small pilots that deliver value, lead to big business change
• Realizing the importance of nurturing innovation
• Utilizing pilots and proof-of-concept
• Evaluating crowd-sourcing big data
nick brown, Innovation & Technology Architect, Chief Technology
Office, AstraZeneca

supported by

your registration to +44 (0)870 9090 712 or call +44 (0)870 9090 711

*Subject to final confirmation
hAlF-dAY post-conFeRence WoRKshop A
Wednesday 14th may 2014 i 8.30am – 12.30pm
holiday inn Regents park hotel, london, uK

legal and practical Aspects of cloud
computing
Workshop Leader:
Jan hauß, Head of R&D Laboratory Information
Management System (LIMS), merck KGaA
overview of workshop:

After the latest scandals (e.g. PRISM) there should be
a focus on legal and economical traps and pitfalls in
cloud computing.
Legal aspects are:

• ISO 27K regulations
• Local and EU directives concerning privacy

Economical aspects are

• Data leakage prevention
• IP protection

This workshop will allow you to get a better
understanding of what to be aware of.

Why you should attend:

Gain practical and timely advice for anybody who is
involved in planning and implementation of software
and services that are Cloud based. In practice that
means that sharing data with an CRO via third party
services is sometimes for legal reasons not acceptable.
If you are involved in this area this workshop is for you.
programme:
8.30
Registration and coffee

9.00

9.10

9.50

10.30

11.00

11.40

12.20

12.30

opening remarks

session 1 iso 27K regulations

session 2 business relevant local and eu
directives concerning privacy

coffee break

session 3 data leakage prevention

session 4 ip protection

closing remarks

end of workshop 

About the workshop host:

Jan was born in 1962. He achieved a
Ph.D. in Heidelberg in chemistry 1993, a
Post Doc. in Sussex in 1995 and has been
an IBM Fellow from 1996-1998. Since 1998
Jan has worked with Merck KGaA. He
joined the company initially as Lab. head NMR. He
has since moved onto different positions responsible
for the R&D LIMS and local IT Security Officer for Site
Operations.

About the merck Group

In 2012, the Merck Group generated total revenues
of €11.2 billion. The Merck Serono division accounted
for €6.4 billion, the Consumer Health division for €475
million, the Performance Materials division for €1.7
billion and the Merck Millipore division for € 2.6 billion
of that total. EBITDA pre, with which the earning
power of operating activities is measured, climbed to
€3 billion. Research and development spending
amounted to €1.5b illion. The operating result totaled
€964 million and free cash flow was €2 billion.
Important and current information on the company
can be found on the Web at www.merckgroup.com
hAlF-dAY post-conFeRence WoRKshop b
Wednesday 14th may 2014 i 1.30pm – 5.30pm
holiday inn Regents park hotel, london, uK

designing and commissioning studies
using big data to support drug
development and marketing
Workshop Leaders:
Rob thwaites, Vice President, Health Economics and
Epidemiology, evidera and Chair, Pharmaceutical industry
Health Information Group, Abpi
Andrew paul cox, PhD, Senior Research Associate, evidera
Radoslaw (Radek) Wasiak, phd, mA, msc, EU Director and
Senior Research Scientist in Health Economics, evidera
overview of workshop:

The purpose of the workshop is to give participants the basic
tools to evaluate whether and how to commission a big data
study. The topics that will have been presented at the
conference over the preceding two days will give all
attendees a picture of where studies using big data can
contribute in big pharma. This half day workshop will
concentrate on the “how”: how to decide when a study
using big data makes sense; how to commission a piece of
work using big data; and how to make the most of the
investment in a big data project.
Why you should attend:

Through a series of frameworks and case studies, the workshop
leaders will provide information and insights on:
• Reviewing different types of big data studies that can be
brought into support a new drug
• Planning for evidence generation: when can big data
studies best be brought in….and what are the
alternatives?
• Pitfalls to avoid in the design, conduct and analysis of big
data studies
• Newer methods and approaches to consider
• Selecting partners for a big data study
programme:
1.30

Registration and coffee

2.10

session 1 Reviewing the different types of big

2.00

2.50

3.20
3.50
4.30
4.50

5.20

5.30

opening remarks

data studies that can be brought into
support a new drug

session 2 planning for evidence generation:
when can big data studies best be brought
in…and what are the alternatives?
coffee break

session 3 pitfalls to avoid in the design,

conduct and analysis of big data studies

session 4 newer methods and approaches

to consider

session 5 selecting partners for a big data study
closing remarks

end of workshop

About the workshop hosts:

Rob thwaites, mA, mcom, is Vice President, Health
Economics and Epidemiology, for Evidera, a
leading global scientific consulting organisation.
Rob is been responsible for teams in Europe
conducting projects in the areas of health
economics, outcomes research, and market access. As
Chair of the UK Pharmaceutical industry Health Information
Group, Rob leads the team at the Association of the British
Pharmaceutical Industry responsible for activities at an
industry level to encourage the development and use of big
data and associated capabilities.
Andrew paul cox, phd, is a Senior Research
Associate at Evidera. In his role at Evidera, his main
area of expertise is Epidemiology, mathematical
modelling and data science.

Radoslaw (Radek) Wasiak, phd, mA, msc, is an EU
Director and Senior Research Scientist in Health
Economics at Evidera in London, UK. He has
extensive applied research experience in
designing and executing health economic,
health services, and multidisciplinary research.
biG dAtA in phARmA

£1198.00

+ vAt £718.80
+ VAT

conference: monday 12th – tuesday 13th may 2014, holiday inn Regents park hotel, london, uK i Workshops: Wednesday 14th may 2014, london

4 WAYs to ReGisteR

online www.pharmabigdata.co.uk

FAX your booking form to +44 (0) 870 9090 712
phone on +44 (0) 870 9090 711

our Reference

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SMi Group's Inaugural Big Data in Pharma conference

  • 1. 2 b bo An 8th oo d A oK sA Feb K b n d bY v Ru Y sA 31 e AR ve st m £3 Y 0 £1 ARc 0 00 h Big Data in Pharma SMi present their inaugural conference on… Manage and analyse big data to enhance R&D and clinical trials for the future! 12th - 13th Holiday Inn Regents Park Hotel, London, UK MAY 2014 chairman simon holt, Vice President, Global Head HEOR, novartis pharma AG Prior to this position Simon was the Global Head of Market Access for the franchise responsible for specialty medicines at Novartis. He is based in Basel. Simon brings a background in strategy and operations management consulting from A.T.Kearney with him to his role as well as a wide reaching international network of seniors in the medical device, healthcare, pharmaceutical and diagnostic industries. Key speakers include: • nick brown, Innovation & Technology Architect, Chief Technology Office, AstraZeneca • stephanie manson, Director Global Health Outcomes, GlaxosmithKline • Rob thwaites, Vice President, Health Economics and Epidemiology, evidera and Chair, Pharmaceutical industry Health Information Group, Abpi • Xavier olba, Digital Business Strategy, sanofi Aventis • Jan hauß, Head of R&D Laboratory Information Management System (LIMS), merck KGaA • dr Athula herath, Statistical Director, R&D Statistics, medimmune • Rachel uphill, Enterprise / Information Architect, R&D IT Solutions, Delivery & Integration, GsK medicines Research centre • Kerstin Kleese van dam, Associate Division Director, Leader Scientific Data Management Group, pacific northwest national laboratory benefits of attending: • Attend the only event to focus specifically on the impact of big data in the pharmaceutical industry - how can you exploit its potential to create better medicine and generate new revenue streams? • Hear from knowledgeable speakers - our carefully researched programme includes several exclusive case-studies from pharma and biotechnology experts. Watch this space as more are announced! • Discover how big data analysis can positively impact clinical trials by acting on information in real-time • Gain up to date insight on applications for heoR data in pharma plus tWo inteRActive hAlF-dAY post-conFeRence WoRKshop Wednesday 14th may 2014, holiday inn Regents park hotel, london, uK A: legal and practical Aspects of cloud computing Workshop Leader: Jan hauß, head of R&d laboratory information management system (lims), merck KGaA 8.30am - 12.30pm b: designing and commissioning studies using big data to support drug development and marketing Workshop Leadesr: Rob thwaites, Vice President, Health Economics and Epidemiology, evidera and Chair, Pharmaceutical industry Health Information Group, Abpi Andrew paul cox, phd, Senior Research Associate, evidera Radoslaw (Radek) Wasiak, phd, mA, msc, EU Director and Senior Research Scientist in Health Economics, evidera www.pharmabigdata.co.uk 1.30pm – 5.30pm 1.30 pm - 5.30 pm Register online or fax your registration to +44 (0) 870 9090 712 or call +44 (0) 870 9090 711 AcAdemic & GRoups discounts AvAilAble #bigdatapharma2014
  • 2. big data in pharma www.pharmab day one i monday 12th may 2014 8.30 Registration & coffee 9.00 chairman's opening Remarks simon holt, Vice President, Global Head HEOR, novartis pharma AG biG dAtA in clinicAl tRiAls 11.40 personalized medicine: using big data to individualize treatment; the cancer example • Reviewing constitutional factors influencing reaction of the host on a drug • Discussing cancer/host factors predicting clinical course, i.e. prognosis • Tumour cell biology identifying validated tumor-driving genomic aberrations in drug-targeted genes/pathways ('predictive' biomarkers) professor hubert caron, Paediatric Oncology, emma children’s hospital Amc Academic medical centre, university of Amsterdam 12.20 networking lunch 1.50 leveraging existing data from legacy clinical trials • Discover a goldmine at your fingertips • Understanding how to prepare it for use • Choice of a (set of) standard(s) • Evaluating future developments pantaleo nacci, Head Statistical Safety and Epidemiology/PV, novartis vaccines and diagnostics 2.30 developing a robust and effective patient reported outcomes (pRo) strategy for clinical trials • Understanding the essential elements required to create a successful PRO strategy • Ensuring best practice for PRO use in trials, to improve the quality of PRO information collected for: - clinical care - decision-making - predicting long-term outcomes - informing health policy professor melanie calvert, Professor of Outcomes Methodology, Primary Care Clinical Sciences, birmingham university 3.10 Afternoon tea mAnAGement And AnAlYsis (pARt 1) 9.10 9.50 openinG AddRess big data analytics…enabling the "insights from the whole patient populations to a sample • On development of a framework that may enable the analysis of clinical data/standard care in real-time to keep abreast of latest clinical research related to drug development • Introducing high-performance analytics to enable timely and accurate insights using - data mining - predictive analytics - modelling and simulation of the possible outcomes of a therapeutic intervention to stratify patient populations to sieve through the best interventions for a patient strata dr Athula herath, Statistical Director, R&D Statistics, medimmune big data and the pharmaceutical industry: understanding how industry initiatives can move opportunities with big data forward for individual companies • How has industry championed big data?...Examples from multiple countries • Case study - a decade of initiatives by industry in the UK • Collaborative developments that will open up opportunities for companies in the future • How can developments at an industry level help a company’s RWD strategy Rob thwaites, Vice President, Health Economics and Epidemiology, Evidera and Chair, Pharmaceutical industry Health Information Group, Abpi looKinG AheAd 10.30 morning coffee 3.40 beyond the horizon… building the ‘blueprint’ for a data-led pharmaceutical industry of the future • Understanding how the plethora of new data and improved analytical techniques can enhance future innovation and feed the drug-development pipeline • Implementing standards, strategies and collaborations to enhance products and provide wider medical value • Discovering what your peers are prioritizing as part of their own Big Dip strategies Rachel uphill, Enterprise / Information Architect, R&D IT Solutions, Delivery & Integration, GsK medicines Research centre 11.00 leveraging big data to study comparative effectiveness research (ceR): a case example in multiple sclerosis • Developing a systematic approach for identifying CER opportunities for pharma • MS is a complex, chronic disease that requires monitoring of real-world effectiveness to inform clinical and economic decision-making • The use of data from multiple sources can overcome the limitations associated with assessing outcomes using a single source of information, such as individual database or registry studies • This combination of data sources provides useful critical information on real-world outcomes in a general MS population that can be used to complement data from clinical trials and observational studies in MS niklas bergvall, Senior Director, Global HE&OR Neuroscience, novartis pharma 4.20 An lessons learned so far! understanding big data and disc el ussio its uses for the pharmaceutical world n • What has been learned • Evaluating what has and hasn’t worked • What are the next steps in the big data strategy dr Athula herath, Statistical Director, R&d statistics, medimmune pantaleo nacci, Head Statistical Safety and Epidemiology/PV, novartis vaccines and diagnostics 5.00 chairman's closing Remarks and close of day one p sponsoRship And eXhibition oppoRtunities smi offer sponsorship, exhibition, advertising and branding packages, uniquely tailored to complement your company’s marketing strategy. prime networking opportunities exist to entertain, enhance and expand your client base within the context of an independent discussion specific to your industry. should you wish to join the increasing number of companies benefiting from sponsoring our conferences please call: Alia malick, director on+44 (0) 20 7827 6168 or email: amalick@smi-online.co.uk *Subject to final confirmation Want to know how you can get involved? interested in promoting your services to this market? contact humaira Kaiser, smi marketing on +44 20 7827 6197, or email: hkaiser@smi-online.co.uk Register online at: www.pharmabigdata.co.uk • Alternatively fax y
  • 3. big data in pharma bigdata.co.uk 8.30 9.00 day two i tuesday 13th may 2014 Registration & coffee 2.30 chairman's opening Remarks dr Athula herath, Statistical Director, R&D Statistics, medimmune love thy neighbour - creating stakeholder partnerships to maximize expertise capabilities and develop innovative medicines • Understanding how collaboration can enhance drug research, development, commercialization and delivery • Evaluating how collaborative “open space” initiatives can enable specific questions or share insights to be addressed • Learn how partnerships can harnessing Big Data for the development of innovative medicines • Lessons learned from successful pharmaceutical, academic and CRO collaborations • Building strategic relationships to maximize quality improvements, economic value and cost effective outcomes nick brown, Innovation & Technology Architect, Chief Technology Office, AstraZeneca pAn Kerstin Kleese van dam, Associate Division Director, disc el ussio n Leader Scientific Data Management Group, pacific northwest national laboratory stephanie manson, Director Global Health Outcomes, GlaxosmithKline 3.10 Afternoon tea mAnAGement And AnAlYsis (pARt 2) 9.10 9.50 10.30 11.00 11.40 12.20 1.50 openinG AddRess observational research and heoR in the big data arena • Understanding the various applications for HEOR data in pharmaceuticals – an introduction to the value of HEOR • Reviewing examples of how HEOR data has proved important and how this might be impacted by the use of big data • Big data sources of real world observational data • Embedding real-world data collection into clinical development programmes stephanie manson, Director Global Health Outcomes, GlaxosmithKline discussing advances in predictive analytics • In-depth analysis – how to get at the hidden nuggets in your data • New approaches to distributed data analysis – analytics @ the edge • Continuous, automated synthesis of new knowledge and dynamic control - analysis in motion Kerstin Kleese van dam, Associate Division Director, Leader Scientific Data Management Group, pacific northwest national laboratory morning coffee mARKetinG & sociAl mediA 3.40 improving pharmaceutical marketing performance using big data solutions • Developing a digital marketing strategy in the data age • Leveraging social media to communicate your key brand messaging and intent • Managing and optimising clinical data to stay ahead of the complex and challenging market environment • Generate more informative evidence across the product lifecycle with observational data christopher Keenan, Director, Governance & Operations, Global Medical Information, bms* 4.20 delivering a definitive social media strategy and culture within pharma to deliver optimal patient healthcare and treatment awareness • Realizing how social media can be used to meet the goals for better understanding patients and to find out about: - unmet need - new adverse events - patient compliance • Evaluating available opportunities within social media for drug marketing • Understanding how to effectively market your drugs via social media • Deciphering how the various popular mediums can be used – twitter, YouTube, LinkedIn and Facebook • Preparing for the challenges of drug advertising compliance within social media Xavier olba, Digital Business Strategy, sanofi 5.00 chairman’s closing Remarks and close of day two the impAct oF biG dAtA on ReseARch And development making the right connections! integrating data to guarantee consistency and reliability in R&d • Managing and integrating data generated at all stages of the value chain, from discovery to real-world use, to derive maximum benefit from technology trends • Implementing strategies to integrate external and internal content Jan hauß, Head of R&D, laboratory information management system (LIMS), merck KGaA unlocking the power of big data to transform R&d productivity • Measuring the value of big data to pharmaceutical R&D • How to Ensure you Select the Right ELN for your R&D • Identifying the right patients for the right drug in Phase II trial stage using Big Data usman iqbal, Senior Director of Oncology, Global Evidence & Value Development, R&d/ med Affairs, sanofi networking lunch cReAtinG A biG dAtA oRGAnisAtionAl cultuRe & buildinG stRAteGic pARtneRships big data, small steps…. insight into our innovation network and how nurturing small pilots that deliver value, lead to big business change • Realizing the importance of nurturing innovation • Utilizing pilots and proof-of-concept • Evaluating crowd-sourcing big data nick brown, Innovation & Technology Architect, Chief Technology Office, AstraZeneca supported by your registration to +44 (0)870 9090 712 or call +44 (0)870 9090 711 *Subject to final confirmation
  • 4. hAlF-dAY post-conFeRence WoRKshop A Wednesday 14th may 2014 i 8.30am – 12.30pm holiday inn Regents park hotel, london, uK legal and practical Aspects of cloud computing Workshop Leader: Jan hauß, Head of R&D Laboratory Information Management System (LIMS), merck KGaA overview of workshop: After the latest scandals (e.g. PRISM) there should be a focus on legal and economical traps and pitfalls in cloud computing. Legal aspects are: • ISO 27K regulations • Local and EU directives concerning privacy Economical aspects are • Data leakage prevention • IP protection This workshop will allow you to get a better understanding of what to be aware of. Why you should attend: Gain practical and timely advice for anybody who is involved in planning and implementation of software and services that are Cloud based. In practice that means that sharing data with an CRO via third party services is sometimes for legal reasons not acceptable. If you are involved in this area this workshop is for you. programme: 8.30 Registration and coffee 9.00 9.10 9.50 10.30 11.00 11.40 12.20 12.30 opening remarks session 1 iso 27K regulations session 2 business relevant local and eu directives concerning privacy coffee break session 3 data leakage prevention session 4 ip protection closing remarks end of workshop  About the workshop host: Jan was born in 1962. He achieved a Ph.D. in Heidelberg in chemistry 1993, a Post Doc. in Sussex in 1995 and has been an IBM Fellow from 1996-1998. Since 1998 Jan has worked with Merck KGaA. He joined the company initially as Lab. head NMR. He has since moved onto different positions responsible for the R&D LIMS and local IT Security Officer for Site Operations. About the merck Group In 2012, the Merck Group generated total revenues of €11.2 billion. The Merck Serono division accounted for €6.4 billion, the Consumer Health division for €475 million, the Performance Materials division for €1.7 billion and the Merck Millipore division for € 2.6 billion of that total. EBITDA pre, with which the earning power of operating activities is measured, climbed to €3 billion. Research and development spending amounted to €1.5b illion. The operating result totaled €964 million and free cash flow was €2 billion. Important and current information on the company can be found on the Web at www.merckgroup.com
  • 5. hAlF-dAY post-conFeRence WoRKshop b Wednesday 14th may 2014 i 1.30pm – 5.30pm holiday inn Regents park hotel, london, uK designing and commissioning studies using big data to support drug development and marketing Workshop Leaders: Rob thwaites, Vice President, Health Economics and Epidemiology, evidera and Chair, Pharmaceutical industry Health Information Group, Abpi Andrew paul cox, PhD, Senior Research Associate, evidera Radoslaw (Radek) Wasiak, phd, mA, msc, EU Director and Senior Research Scientist in Health Economics, evidera overview of workshop: The purpose of the workshop is to give participants the basic tools to evaluate whether and how to commission a big data study. The topics that will have been presented at the conference over the preceding two days will give all attendees a picture of where studies using big data can contribute in big pharma. This half day workshop will concentrate on the “how”: how to decide when a study using big data makes sense; how to commission a piece of work using big data; and how to make the most of the investment in a big data project. Why you should attend: Through a series of frameworks and case studies, the workshop leaders will provide information and insights on: • Reviewing different types of big data studies that can be brought into support a new drug • Planning for evidence generation: when can big data studies best be brought in….and what are the alternatives? • Pitfalls to avoid in the design, conduct and analysis of big data studies • Newer methods and approaches to consider • Selecting partners for a big data study programme: 1.30 Registration and coffee 2.10 session 1 Reviewing the different types of big 2.00 2.50 3.20 3.50 4.30 4.50 5.20 5.30 opening remarks data studies that can be brought into support a new drug session 2 planning for evidence generation: when can big data studies best be brought in…and what are the alternatives? coffee break session 3 pitfalls to avoid in the design, conduct and analysis of big data studies session 4 newer methods and approaches to consider session 5 selecting partners for a big data study closing remarks end of workshop About the workshop hosts: Rob thwaites, mA, mcom, is Vice President, Health Economics and Epidemiology, for Evidera, a leading global scientific consulting organisation. Rob is been responsible for teams in Europe conducting projects in the areas of health economics, outcomes research, and market access. As Chair of the UK Pharmaceutical industry Health Information Group, Rob leads the team at the Association of the British Pharmaceutical Industry responsible for activities at an industry level to encourage the development and use of big data and associated capabilities. Andrew paul cox, phd, is a Senior Research Associate at Evidera. In his role at Evidera, his main area of expertise is Epidemiology, mathematical modelling and data science. Radoslaw (Radek) Wasiak, phd, mA, msc, is an EU Director and Senior Research Scientist in Health Economics at Evidera in London, UK. He has extensive applied research experience in designing and executing health economic, health services, and multidisciplinary research.
  • 6. biG dAtA in phARmA £1198.00 + vAt £718.80 + VAT conference: monday 12th – tuesday 13th may 2014, holiday inn Regents park hotel, london, uK i Workshops: Wednesday 14th may 2014, london 4 WAYs to ReGisteR online www.pharmabigdata.co.uk FAX your booking form to +44 (0) 870 9090 712 phone on +44 (0) 870 9090 711 our Reference VENUE deleGAte detAils Forename: surname: Job title: company/organisation: total £2697.00 + vAt £3236.40 £2098.00 + vAt £2517.60 £1499.00 + vAt £1798.80 £599.00 The Conference fee includes refreshments, lunch, conference papers and CD ROM containing all of the presentations. email: company vAt number: Address: live stReAminG/on demAnd/documentAtion town/city: post/Zip code: country: direct tel: direct Fax: mobile: switchboard: signature: I agree to be bound by SMi's Terms and Conditions of Booking. Accounts dept title: surname: date: Forename: Address (if different from above): post/Zip code: unable to travel, but would like to watch the conference ask questions, participate as if you were in the room? price □ Live Streaming £999.00 □ On demand £599.00 (available 24 hours after the event) □ Access to the conference documentation on the Document Portal £499.00 □ The Conference Presentations – paper copy £499.00 (or only £300 if ordered with the Document Portal) live, + vAt £598.80 £499.00 pAYment email: direct tel: □ Conference & 2 Workshops □ Conference & 1 Workshop □ Conference only □ 1 Workshop only □ 2 Workshops only Workshop A □ Workshop B □ total + vAt £1198.80 + vAt £718.80 GRoup discounts AvAilAble pRomotionAl liteRAtuRe distRibution □ Distribution of your company’s promotional literature to all conference attendees £999.00 department/division: town/city: book by 31st march to receive £100 off the conference price i would like to attend: (please tick as appropriate) Fee Please complete fully and clearly in capital letters. Please photocopy for additional delegates. title: book by 28th February to receive £300 off the conference price conFeRence pRices p-103 + vAt £1198.80 south, harling house, 47-51 Great suffolk street, london, se1 0bs, uK eARlY biRd □ discount □ unique Reference number £1437.60 post your booking form to: events team, smi Group ltd, 2nd Floor country: direct Fax: holiday inn Regents park, carburton st, london W1W 5ee □ please contact me to book my hotel Alternatively call us on +44 (0) 870 9090 711, email: hotels@smi-online.co.uk or fax +44 (0) 870 9090 712 terms and conditions of booking payment: If payment is not made at the time of booking, then an invoice will be issued and must be paid immediately and prior to the start of the event. If payment has not been received then credit card details will be requested and payment taken before entry to the event. Bookings within 7 days of event require payment on booking. 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