Big Data & Analytics in Healthcare

Reduce Costs and Increase Performance

May 15 & 16, 2014 Philadelphia, PA

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Previous Speakers

Previous Speakers• Chief Information Officer, Kaiser Permanente• Vice President, Health Net• Vice President, Ochsner Health System

• Chief Data Officer, Seattle Children's• Director, Adventist Healthcare• Associate Director, Johnson & Johnson

• Associate Director, Hospital for Sick Children• Director, Children’s Hospital of Philadelphia• Director,Outcomes Analytics, University of Minnesota• Associate Professor, McGill University

• Executive Director, Buck Institute of Ageing• Board Member, Seattle Children’s

• Vice President, Hospital Corporation of America• Vice President, Geisenger Health System• Vice President, EvergreenHealth

• Director, Intermountain Healthcare• Medical Director, EvergreenHealth• Senior Director, Informatics, Bayer Healthcare

• Director, Clinical Decision Support, Cigna• Senior Investigator, GlaxoSmithKline• Associate Director, University of Minnesota Medical School• Associate Professor, John Hopkins School of Public Health

• Entrepreneur, University of Washington• Informatics Solutions Architect, UC Irvine Health

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Past Delegates include• President & CEO - Orchid Pharma

• Director, Analytics - Covidien

• Director, Analytics - Novartis

• Director, Analytics - Pfizer

• Senior Principal - IMS Health

• Director, Speciality - Florida Hospital

There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the Big Data space. You will be meeting senior level executives from major corporations and innovative small to medium size companies.

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

Job Title Of Attendees

78%

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

Who Will You Meet?

About The Summit

Eugene Kolker is Chief Data Officer at Seattle Children’s Hospital and Head of the Bioinformatics & High-throughput Analysis Laboratory at Seattle Children’s Research Institute. In 2011 Eugene co-founded DELSA Global (Data-Enabled Life Sciences Alliance International) a not-for-profit organization and serves as its President. Dr. Kolker has more than 25 years of transdisciplinary experience in data analysis, integration and dissemination, predictive analytics, software and algorithm development, molecular cellular biology, statistics, proteomics, and informatics.

From Data to Outcomes

In today’s data-driven age, healthcare is transitioning from opinion-based decisions to informed decisions based on data and analytics. Analyzing the data reveals trends and knowledge that may run contrary to our assumptions causing a shift in ultimate decisions that in turn will better serve both patients and healthcare enterprises.   Seattle Children’s is improving patient care and reducing costs through advanced computational modeling, analytical solutions, and collaboration across the enterprise. Dr. Kolker describes several specific initiatives demonstrating how transdisciplinary teams make better informed decisions, improve care and outcomes, while reducing waste. 

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Eugene KolkerChief Data OfficerSeattle Children’s

The Healthcare industry is at a turning point. Huge amounts of analytical talent is flowing into healthcare and by 2016 half of hospitals will be using advanced analytics software, compared to 10% today. This trend is driven by the realization that the best way to   help physicians make better treatment decisions while decreasing cost is by leveraging data and predictive modeling. With data and data scientists at the core, the healthcare industry is evolving. By attending this summit you will prepare yourself for the era of personalized medicine and sustainable growth.

Previous Topics included:

• From Data to Outcomes• Clinical Integration Across Multiple• Big Data Comes to the Practicing Physician• Towards a Holistic Healthcare Ecosystem• Big Data Challenges in a Highly Regulated Environment• Enabling Big Data Technologies in Drug Discovery• Regulation and Ethical Issues of Using EHR Data for

Research

And much more..........

Previous Speaker Information

David is a well-known leader in the clinical research industry through numerous associations, boards and initiatives. He is currently employed by HCA, the largest private healthcare provider in the United States, as the AVP and Responsible Executive for Clinical Research. He is also is the President of the Angel Capital Group’s Nashville Chapter, where he participates in deal screening, due diligence, and the occasional board seats. He is and has been in many other industry leader roles both in the United States and globally, including Chair of the Board of Trustees for the Association of Clinical Research Professionals (ACRP).

Regulatory and Ethical Issues of Using EHR Data For Research

Big data has arrived in healthcare and with it comes a golden age of research opportunities.   Research with health information, however, has certain unique regulatory and ethical issues that may be surprising to those not living in the research world and even to those in the research world not familiar with data research. This session explores the intersections of 1) the U.S. research regulations, 2) the U.S. privacy regulations and 3) the world of business risks and ethics, all three as they pertain to using large healthcare datasets for research purposes and how to make it happen legally and ethically.

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David VulcanoAssistant Vice PresidentHospital Association of America

Health Psychology On Big Data and Vision for Right-Sizing Health Interventions

The field of big data covers a broad arena of information and analysis. Healthcare data, in particular, includes large amounts of data but is typically limited to health care claims. While valuable, a significant gap regarding human behavior exists. Future challenges include understanding the underlying factors behind data that describe reasons for human behavior.  We are focused on a few targeted areas of human health and healthcare to include the areas of quality of life, human functioning, and health. Our analyses will demonstrate how data such can be used to understand large populations along the health and the quality of life continuum. 

Shawn T. Mason, PhD is the Associate Director of Research and Data Analytics at Wellness & Prevention Inc. and Director of Research and Data Analytics at the Human Performance Institute; Johnson & Johnson Companies. As well as research study planning and design across multiple organizational and customer platforms, Dr. Mason manages data analytics and outcomes. Shawn is a licensed Clinical Psychologist and an Assistant Professor, adjunct at the Johns Hopkins University School of Medicine.

Shawn MasonAssociate Director, Data AnalyticsJohnson & Johnson

Previous Speakers

Scott Pingree is currently the Director of Strategic Planning and Chair of High-Cost Patient Review and Hotspotting for Intermountain Healthcare. For the past few years, Scott has led a team of senior leaders in reviewing and recommending opportunities for improvement in the delivery of care for the top 1 to 5% of high-cost patients across the system. He is a contributor to Intermountain Healthcare’s vision for Shared Accountability where hospitals, physicians, payers and patients all have a share of responsibility for health outcomes. Scott served as an early advisor to the Intermountain Healthcare / Deloitte Consulting alliance around big data and health analytics. Scott received his Master in Public Administration from Harvard University and Master in Business Administration from Brigham Young University.

Scott PingreeDirectorIntermountain Healthcare

Increasing Efficiency in High Cost Patient Treatment

Intermountain Healthcare is an integrated delivery system of 22 hospitals, more than 900 employed physicians, 185 clinics, approximately 32,000 employees and a health plan that insures in excess of 500,000 lives. At Intermountain Healthcare, the top 1% of high-cost patients consumes a disproportionate 26% of total system cost. Through use of their extensive informatics stores, Intermountain has learned a great deal about the top 1% of high-cost patients they serve. Delivering improved coordination of care for this group is mission critical to reaching the goal of providing healthcare coverage at rates rising at no more than consumer price index (CPI) plus 1%.

Dr Witherspoon is System Vice President and Chief Medical Information Officer of Ochsner Health System. He conceptualized and built a clinical repository in the mid-1980s and subsequently shepherded the design, development, deployment, and certification of Ochsner’s EHR platform. Ochsner is currently implementing a broad suite of practice support, billing, medical record, and clinical applications from Epic. Lynn also created and managed Ocshner’s immunoassay laboratory where he practiced Endocrinology and Nuclear Medicine. Dr. Witherspoon is a graduate of the University of Wisconsin Medical School in Madison.

Lynn WitherspoonChief Technology OfficerOchner Health System

Big Data Comes to The Practicing Physician

For many years clinical analytics amounted to individual plans based on conversation, observation, and judgment one patient at a time recorded in paper charts. Electronic medical records (EMR) and the infrastructures supporting them resulted in a dramatic increase in digital data enabling the assessment of not just individual patients but of the care we provide to populations of patients. Through complex infrastructure, data warehousing, visualization and reporting this data can be mined to provide physicians with the tools to make more informed judgments on their patients’ health, with the result being higher quality, more economical healthcare.

Previous Speakers

Vipul KashyapDirector, Decision SupportCigna

Vipul Kashyap, PhD, is the Director of Informatics at Cigna Healthcare, where he is leading a team of rule engineers, information modelers and workflow designers to develop and deploy predictive models and care plans for health advocacy applications. Prior to Cigna, Vipul was a Senior Medical Informatician in the Clinical Informatics Research & Development group at Partners HealthCare System. He was also a fellow at the National Library of Medicine, where he performed research on techniques for semi-automatic generation of healthcare vocabularies (e.g., MeSH) from abstracts of medical research articles.

Towards a Holistic Healthcare Ecosystem: Data Innovations to Improve Clinical Outcomes & Reduce Costs

The healthcare system in the United States is in the midst of a critical transformation, with more emphasis on cost co nt a i n m e nt a n d i m p rov e m e nt i n o u t co m e s . Unfortunately, there is a lack of co-ordination in these fields between pharmaceutical providers, health care providers and payers. This presentation identifies win-win collaborations that provide mutual benefit to the stakeholders and the broader healthcare ecosystem. Key areas are holistic healthcare interventions, knowledge, data sharing and collaboration. Finally we will brainstorm approaches to overcome market obstacles and identify win-win opportunities as a prelude to operationalizing some of thee ideas.

Dr. Paul Buehrens, MD, FAAFP, is the new Medical Director of Evergreen   HealthPartners, a startup Clinical Integration Network based at EvergreenHealth in Kirkland, WA. Dr. Buehrens is a practicing family physician at Lakeshore Clinic since 1981, and the President of the NW Medical Group Alliance as well. He has been named a “Top Doctor” by   Seattle Magazine 4 times. He combines knowledge of medicine with physician   leadership, led the adoption of EHR for his group.

Paul BuehrensMedical DirectorEvergreenHealth

Clinical Integration Across Multiple Care Environments

Dr. Buehrens and his team will present the rationale for Clinical   Integration as a success strategy for hospitals and their medical staffs as   well as for independent medical groups, outline the process of developing cIinical strategies as opposed to risk-taking IPA and vertical integration,   comment on the Seattle market specifically, as all politics and all  healthcare is local, and on the road to success, possibilities for small providers to aggregate, IT needs for clinical integration, and engage in a dialog with the audience on the future of health care systems. 

Monique Ruyle’s responsibilities include leading the integration and inter-connections of EvergreenHealth clinical services, coordinating the continuum of care and disease management resources and systems, and leading our Home Care and Hospice Services.   Ruyle joined EvergreenHealth in 1998 and has served in many roles including Hospice and Palliative Care Director, Executive Director for the Home Care Division (Home Health, Hospice, Palliative Care, Behavioral Health, Case Management), and was promoted into her current position in 2012.

Monique RuyleMedical DirectorEvergreenHealth

Clinical Integration Across Multiple Care Environments

Monique will be co-presenting “Clinical Integration Across Multiple Care Environments” with Paul Buehrens.

Previous Speakers

Charles Boicey is the Informatics Solutions Architect for the University of California, Irvine. At UCI Charles is responsible for the development and implementation of the enterprise data warehouse, health information exchange, home health integration and UC Irvine Health’s “Big Data” initiative. Charles has 20 years of experience in the healthcare field. Scope of expertise encompasses trauma critical care nursing, ensuring the use of standardized data elements in clinical systems to meet clinical and research data warehouse requirements. Charles is Vice President of the American Nursing Informatics Association.

Charles BoiceyInformatics Solutions ArchitectUC Irvine Health

Saritor: A “Big Data” Hadoop Ecosystem to Advance Research and Clinical Practice

Apache Hadoop is open source software that enables distributed processing of large data sets across clusters of computers. Hadoop can scale up to thousands of computers, each able to store and process data. Hadoop is capable of ingesting and storing the types of data found in healthcare, structured, unstructured, image and video. Hadoop also has an advantage for healthcare in its ability to interoperate with other open source software. This interoperability combined with scalability makes Hadoop an ideal platform for the development of a software ecosystem that fills in the gaps left by the Electronic Medical Record and Enterprise Data Warehouse.

Andrew JamesAssociate Clinical DirectorHospital for Sick Children, Toronto

Dynamic Advanced Clinical Decision Support for Neonatal Intensive CareThe Neonatal Intensive Care Unit is a data rich but information poor environment. The data problem, information paradox and knowledge gap present challenges for the provision of high quality, evidence informed intensive care. The Artemis Project streams physiological data from bedside devices and extracts relevant clinical data from the NICU’s Clinical Information Management System. The platform uses a service-oriented architecture together with the streams computing and cloud computing paradigms. Large quantities of data are captured, analysed, and stored on a remote, secure server. Artemis leverages the power of temporal data abstraction and predictive analytics for provision of dynamic, advanced clinical decision support.

Dr. James’ primary focus is the application of the information and communication technologies for clinical care. His current activit ies include knowledge representation, the visual display of information, predictive analytics, and advance clinical decision support. Dr. James is co-lead of a collaborative, multidisciplinary, international team that is developing advanced clinical decision support applications for the early identification of late onset neonatal sepsis, the recognition and classification of neonatal spells, the recognition of pain, the recognition of seizures and the quantification of retinal exposure to oxygen.

Andrew JamesAssociate Clinical DirectorHospital for Sick Children, Toronto

Mahdi SarmadyAssociate Bioinformatics DirectorPhiladelphia Children’s Hospital

Mahdi Sarmady, Ph.D. is Associate Director of Bioinformatics at the Center for Biomedical Informatics (CBMi) at The Children's Hospital of Philadelphia (CHOP). He leads a team of bioinformatics scientists in multiple research and clinical sequencing projects. DR Sarmady is also a Visiting Research Assistant Professor at Drexel University. Specializing in NGS data, his primary interests lie in methods of variant annotation and prioritization that facilitate the clinical interpretation of genomic data.

Clinical Sequencing: Big Data Challenges in a Highly Regulated Environment

Next-generation sequencing (NGS) technologies are rapidly making their way into the clinic. The use of NGS technology in clinical practice is in its nascency and standard guidelines and regulations are still topics of active discussion. As more laboratories start offering genome-level NGS clinical testing, they must address how to report genomic findings as well as the implications of these findings for the patient and their families. This presentation will discuss challenges of introducing a clinical NGS test..

Previous Speakers

Practical Consequences of the Heisenberg U n c e r t a i n t y P r i n c i p l e i n H e a l t h c a r e Informatics.

This presentation discusses several well-known but rarely used in conjunction concepts that have their roots in different areas of quantitative sciences. It will outline major ideas of unsupervised, supervised and semi-supervised learning machines; white-box, black-box and grey-box modeling; big and complex systems; and big and complex data analytics. We will show that despite their differences, they have many commonalities and shared areas of applications. We will relate these commonalities to the Heisenberg uncertainty principle and will present several real-life examples that demonstrate their usefulness in developing systems for collecting new or analyzing already collected data. .

Boris BershadskyDirector, Outcomes AnalyticsUniversity of Minnesota

Boris Bershadsky’s current interests target multi-institutional information systems that combine patient-reported outcomes with clinical and administrative data. He has more than 30 years of working with healthcare informatics in academic, business and hospital settings..   He initiated and managed development of several interactive decision support systems for statistical data analysis, improvement of quality of care and outcomes data collection and analysis. His primary areas of application include cardiology, pharmacology, mental health and orthopedics.

Vinod KumarSenior Scientific InvestigatorGlaxoSmithKline

Dr. Vinod Kumar is a Senior Scientific Investigator in Computational Biology. His current research focuses on develop ing computat ional methods for drug repurposing to help find new applications for existing drugs. Dr. Kumar is currently the editor of the “Methods in Molecular Biology” series on biomedical literature mining. In the past, he has developed several bioinformatics data mining tools and software for pathway/network visualization and functional genomics analysis. Prior to joining GlaxoSmithKline, Dr.Kumar was an Assistant Professor of Microbiology at Thomas Jefferson University.

Enabling Big Data Technologies in Drug Discovery

With the rapid development of high-throughput technologies and ever-increasing accumulation of whole genome-level datasets, an increasing number of diseases and drugs can be characterized by the changes they induce in gene expression, protein, metabolites and phenotypes. Integrating and querying such large volumes of data constitutes a significant obstacle. We will discuss two distinct approaches that utilize these data types. The first approach, dubbed the Connectivity Map attempts to discover the functional connections between drugs, genes and diseases. The second utilizes text-based knowledge mining approach by integrating multiple sources of bimolecular and chemical data to produce biologically meaningful hypotheses.

John F. Kalafut developed the architecture, vision and clinical algorithms that became Bayer Radiology’s healthcare informatics platform. He holds a Master of Science in Electrical/Computer Engineering. His PhD, awarded by the University of Pittsburgh, is in Electrical engineering /bioengineering. He is author or coauthor on 6 journal articles and numerous oral and poster presentations at medical and engineering conferences. Additionally, he is the inventor on 11 issued US and international patents.

John KalafutSenior DirectorBayer Healthcare

Use Cases for Big-Data in The Context of Medical Imaging

I will discuss the needs, opportunities and use-cases for big-data approaches and technologies in the context of medical imaging. We will discuss the ancillary data generated and applications of clinical context within the entire imaging value chain. A particular emphasis will be placed on methods to improve quality while minimizing radiation and contrast material exposure for patients undergoing CT examinations. Finally, the talk will contemplate the applications of big-data for extending diagnostic imaging’s reach beyond the radiology department.

Previous Speakers

Vural OzdemirAssociate ProfessorMcGill University

Vural Özdemir, MD, PhD, DABCP is Associate Professor at Faculty of Medicine, at McGill University. Dr. Özdemir has authored numerous articles and book chapters on clinical pharmacology and the translation from discovery science to global health. His research and writing are concerned with innovation for 21st century healthcare, translation of Big Data to global health innovation, OMICS biotechnology applications in personalized medicine and developing countries and post-genomics innovation strategy.

Hadi KharraziAssociate ProfessorJohn Hopkins School of Public Health

Dr. Hadi Kharrazi is the assistant professor of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health. Dr. Kharrazi's primary research interest is in contextualizing clinical decision support to be utilized at different HIT levels of managed care, such as EHRs or consumer health informatics (CHI) solutions. In the near future, he is planning to collaborate with Maryland’s HIE, to generate population-based decision support frameworks such as cross-provider readmission risk predictive models and comparative NQF-derived eQMs.

Health Information Exchanges and BigData: Challenges and Opportunities

With the emerging Health Information Exchanges (HIEs) around the nation, the data collected, aggregated, and exchanged is becoming increasingly difficult to manage and to repurpose for improved healthcare. To cover this gap, both health IT and health policy researchers should focus on the use of the large HIE data infrastructure as a vehicle to deliver population health informatics solutions. This presentation will elaborate on the challenges and opportunities associated with the Health Information Exchanges, including bending the cross-provider cost curve, reducing avoidable hospital readmissions, and developing guideline-derived population-based decision support analytics.

Rob Arnold is an Entrepreneur in Residence at the University of Washington, where he advises emerging growth companies on business strategy, planning and investment. Prior to the University of Washington Rob was CEO of Geospiza, Inc., a leader in cloud computing solutions for organizations conducting genetic analysis. The company was sold to Perkin Elmer in May 2011. Rob was also CEO of Crossport Systems, a leader in Internet security solutions that was sold to Metrowerks, a division of Motorola in December 2011. Prior to Crossport, Rob co-founded and was CEO of ST Labs, Inc., an international leader in software quality assurance and testing which was sold to Lionbridge.

Rob ArnoldEntrepreneur in ResidenceUniversity of Washington

Panel Session: Big Data and Analytics Can Rescue Healthcare

Is healthcare (HC) in America healthy? Too much of it is dedicated to symptomatic care of preventable conditions and diseases, and too little is dedicated to enabling people to become and stay healthy. And the result? For the first time in decades the life expectancy of the current generation of children may be shorter than their parents’. Add to this the HC burden of an aging population and we have a perfect storm. Two lifelines can rescue American HC: 1) increased efficiency in HC through innovative use of big data and analytics, and 2) preventing preventable conditions. We need both.

Panel Session: Big Data and Analytics Can Rescue Healthcare

Vural, Eugene Kolker from Seattle Children’s, Jack Faris from Seattle Children’s and Rob Arnold from the Center for Commercialization will use their combined, interdisciplinary knowledge to address how Big Data & Analytics can Rescue American Healthcare

Silver Pass

$1495Access to all sessions &

networking event

Diamond Pass

$1995Access to all sessions, networking events, annual subscription to IE.

membership & Strategic Analysis Report

Gold Pass

$1795Access to all sessions, networking events & annual subscription to IE.

membership

)

Registration Pricing

Big Data in Healthcare SummitDate: May 15 & 16, 2014City: Philadelphia, Pennsylvania

For larger groups or special requests contact Jordan Dunne by calling +1 415 992 7598 or email jdunne@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 415 992 7598 +1 323 446 7673 https://theinnovationenterprise.com/summits/bd-healthcare

Group Discount Offers3 Silver Passes: $3000 ($1000 per attendee)5 Silver Passes: $4500 ($900 per attendee)3 Gold Passes: $3900 ($1300 per attendee)5 Gold Passes: $6000 ($1200 per attendee)3 Diamond Passes: $4500 ($1500 per attendee)5 Diamond Passes: $7000 ($1400 per attendee)

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Early Bird Prices available until March 8, 2014

The Information

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$1595Early Bird Price(until March 8)

$1795Early Bird Price(until March 8)

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Early Bird Silver: $1295 Attendees ____ Early Bird Gold: $1595 Attendees ____ Early Bird Diamond: $1795 Attendees ____

Regular Pass Options after March 8, 2014 Silver Pass: $1395 Attendees ____ Gold Pass: $1695 Attendees ____ Diamond Pass: $1895 Attendees ____

Group Discount Pass Options 3 Silver Passes $3000 ($1000 per attendee) 5 Silver Passes $4500 ($900 per attendee) 3 Gold Passes $3900 ($1300 per attendee) 5 Gold Passes $6000 ($1200 per attendee) 3 Diamond Passes $4500 ($1500 per attendee) 5 Diamond Passes $7000 ($1400 per attendee)

For larger groups or special requests contact Jordan Dunne by calling +1 415 992 7598 or emailing jdunne@theiegroup.com . Group passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & annual subscription to IE. membershipDiamond Pass: Access to all sessions, networking events, annual subscription to IE. membership & Strategic Analysis Report

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before April 12, 2014 incur an administrative charge of 50%. If you cancel your registration after April 12, 2014 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormBig Data in Healthcare SummitMay 15 & 16, 2014 | PennsylvaniaFor registration or more information on the program, please call Jordan Dunne on +1 415 992 7598, or fax this registration form to +1 323 446 7673

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Schedule

Networking Drinks 17.00 - 19.00

May 16

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

May 15Day One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

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