2018 Archived Content

Cambridge Healthtech Institute’s 10th Annual

Clinical Data Strategy and Analytics

Enabling Data-Driven Clinical Trials
February 13-14, 2018 | Hyatt Regency Orlando | Orlando, FL

E-clinical technology is changing the landscape of the clinical research industry and healthcare IT in general. Digitalization of healthcare data, mobile data capture technologies, and cloud storage of data are a few of the main technological advances that influence clinical research informatics. The technological advances have been coupled with novel data visualization solutions, and this powerful duo is helping to develop a new paradigm of data-driven clinical trials. Cambridge Healthtech Institute’s 10th Annual Clinical Data Strategy and Analytics conference is designed to bring together clinical research informatics experts to discuss the challenges and find solutions necessary to navigate and thrive in this rapidly changing environment.

Monday, February 12

9:00 am - 7:30 pm Registration Open

5:00 - 6:15 pm Pre-Conference Plenary Keynote Panel

6:308:30 pm SCOPE’s Kick-Off Networking Happy Hour on the Garden Terrace Hosted by CHI, DrugDev, Exostar, & Praxis

8:30 Close of Day

Tuesday, February 13

7:15 am Registration Open and Morning Coffee

8:20 Opening Plenary Keynotes

9:45 Grand Opening Coffee Break in the Exhibit Hall


10:45 Chairperson’s Remarks

Jaydev Thakkar, Product Innovation Lead, Amgen Digital Health

10:50 SPECIAL OPENING PRESENTATION: Integrated Technology Platforms and the Implications to Our Clinical Organizations

Rehbar_TayyabkhanRehbar Tayyabkhan, Vice President, Global Data Strategies & Solutions, Global Clinical Operations, Bristol-Myers Squibb

As capabilities emerge with e-clinical technology platforms, esource, analytics, etc., clinical operations organizations have no choice but to adapt and realign our capabilities. This presentation will provide some context for some high-impact emerging changes and share some practical approaches taken to realize the value from these technological advancements.

11:15 CO-PRESENTATION: Technology Innovations Transforming Clinical Research, Are We There Yet?

Jaydev_ThakkarJaydev Thakkar, Product Innovation Lead, Amgen Digital Health

Yan Chow, M.D., MBA, Medical Director, Digital Health, Amgen

Innovative digital technologies are starting to disrupt the highly regulated and conservative biopharmaceutical industry. We will examine the clinical and business drivers of this revolution, as well as its impact on how and why we conduct research studies and clinical trials.

11:40 Implementing Large Change in a Large Organization

Christine_BuesnelChristine Buesnel, Director, Product Development, Biometrics, Roche

This talk will inform the audience of a large system, process and people change for management of the medical data that Roche/Genentech undertook over a 3-year timeframe. I will discuss the scope of the change, the impact on the organization, and the impact on the people. I will also address the lessons we learned and think are applicable to any large scale change in an organization.

12:05 pm CO-PRESENTATION: New Tufts Research: EDC Trends, Insights, and Opportunities

Beth_HarperBeth Harper, President, Clinical Performance Partners; Consultant, Tufts Center for the Study of Drug Development

Richard_YoungRichard Young, Vice President, Veeva Vault EDC, Veeva Systems

Hear new research from Tufts Center for the Study of Drug Development on current and evolving EDC practices across the drug development enterprise. Learn how seemingly minor decisions in one functional group can significantly impact overall clinical trial timelines. We’ll also share where the industry is headed and ways to overcome key clinical data management challenges including protocol changes, source data verification, and more.

12:30 Session Break

12:40 Luncheon Presentation: Planning and Managing Effective Study Design Through EDC Data Analytics

John_FontenaultJohn Fontenault, COO, Omnicomm

Recently, there has been raised awareness around over-engineered study designs driving study complexity, as well around potential cost reduction and improved data quality through effective use of Risk-Based Monitoring (RBM). Alignment of study planning and design with study execution and data capture is imperative to support initiatives in these areas. This presentation will focus on insights gained from clinical and operational data analytics to improve EDC study design effectiveness in support of these initiatives.

1:20 Coffee and Dessert Break in the Exhibit Hall


2:00 Chairperson’s Remarks

Christine Buesnel, Director, Product Development, Biometrics, Roche

2:05 Analytics to Drive Better Decisions in Clinical Development

Angelique_HopkinsAngelique Hopkins, MPH, Associate Director, Clinical Trial Analytics, Business Insights and Analytics, Bristol-Myers Squibb Company

Integrated, predictive analytics can help drive R&D strategy and execution, with clear benefits to operational costs and long-term financial success. Analytics in trial planning and execution are often viewed as drivers of delay rather than acceleration and analytics is rarely used effectively to drive decisions in planning. This presentation will discuss how embedding analytics into clinical development process can alleviate challenges and build trust with stakeholders for faster, better decisions.

2:30 From the Trenches: Technical Strategies for Start-Up and Virtual Pharma/BioTech Companies

Steve_SweeneySteven Sweeney, Vice President, Clinical Development Operations, Rodin Therapeutics

This presentation will focus on the technology stack utilized for clinical development in the start-up and virtual pharma/biotech sector. It will include a review of popular start-up models and overlay considerations for the use of technology to improve efficiency and vendor oversight and obtain scientific and medical insights.

2:55 Clinical Data Integration from Translational Modeling Using Machine Learning Approach

Raj_BandaruRaj Bandaru, Senior Director, Data Sciences Strategy, Translational Medicine, Sanofi

Use of clinical data for translational modeling and trial simulation is key capability to transform the pharma industry to more data and model-driven drug development. At Sanofi, we have developed some elegant machine learning approaches to integrate clinical study data and make it available for clinical research. This approach reduces the manual effort and thus enabling real time analytics and simulation of trial results.

Covance3:20 Visual Analytics for Medical Data Review: A Physician’s Perspective

Anthony_EverhartAnthony Everhart, MD, FACP, Vice President, Medical Informatics, Covance

The acceptance and adoption of new technology systems by physicians can be slow and is often met with resistance. Recent examples of this in clinical medicine include the challenges experienced when implementing electronic medical records (EMR) and computerized physician order entry (CPOE). Perceived usefulness and perceived ease of use per Davis’ Technology Acceptance Model (1989) have an impact on physician acceptance or rejection of new technology.


3:50 Find Your Table and Meet Your Moderator

4:00 Interactive Breakout Discussion Groups

Concurrent breakout discussion groups are interactive, guided discussions hosted by a facilitator or set of co-facilitators to discuss some of the key issues presented earlier in the day’s sessions. Delegates will join a table of interest and become an active part of the discussion at hand. To get the most out of this interactive session and format please come prepared to share examples from your work, vet some ideas with your peers, be a part of group interrogation and problem solving, and, most importantly, participate in active idea sharing.

5:00 Welcome Reception in the Exhibit Hall

6:30 Close of Day

Wednesday, February 14

7:15 am Registration Open

7:45 Breakfast Presentation: The Next Generation of Site Payments: Technology Do's and Don'ts

Stuart Thiede, President, Payments, DrugDev (An IQVIA Company)

Ineffective site payment processes can irreparably damage the site/sponsor relationship, resulting in the dreaded “one and done” mentality for many sites. However, leveraging a purpose-built technology solution can remove such concerns by ensuring reliable cycle times, efficient processing, real-time reporting, and transparency, all of which drive site satisfaction and simplify the lives of study teams. This session will highlight best practice technology and process models to ensure you achieve your site payment objectives.

8:15 Session Break


8:25 Chairperson’s Remarks

Julie Smiley, Director, Product Strategy, Oracle Health Sciences

8:30 Harnessing Digital Technology and Big Data in Clinical Trials and Beyond

Anthony_RoweAnthony Rowe PhD, Director, R&D IT Business Technology Leader, Immunology TA, Janssen

Measuring physiological and activity-based parameters remotely and continuously via unobtrusive on/off-body sensors or smartphones has the potential to revolutionise our ability to monitor patients between clinic visits and develop objective markers that track disease trajectory. How can we harness such advances in digital technology and big data analytics to enable more informative and efficient clinical studies and develop patient-centric digital solutions that improve outcomes in the real world?

8:55 Digital Biomarker Implementation, Presentation and Comparability

Amy_CalvinAmy Calvin, BS, MT (ASCP), MBA, Digital Strategy and Implementation, Advisor, Eli Lilly and Company

Over the past few years, data generation is beginning to take a new form. It’s moving from subjective to more objective, from episodic to contemporaneous, and is being generated through connected digital tools that can be used to quantitatively explain or predict physiological, behavioral, and functional health measures and outcomes. These digital measures are known as digital biomarkers. This presentation utilizes learnings from pilot examples to examine the implementation, presentation and comparability of digital biomarkers.

9:20 Wearables and Sensors Are Changing the Clinical Trial Process, but What’s the Return on Investment for This Dramatic Change in People, Process and Technology?

Debbie_ProfitDeborah Profit, Ph.D., Vice President, Otsuka Information Technology

The advent of wearables and sensors in clinical trials is changing the paradigm of trial designs, clinical teams, outsourcing practices, and ultimately patient engagement. However, what value does sensor/wearable data and these new trial practices bring, and how quick is the return of investment to the various stakeholders? Otsuka Pharmaceutical Development and Commercialization, Inc. is on the cutting edge of the trial and technology reform, and will share some critical learnings from “the road less traveled”.

9:45 CO-PRESENTATION: Driving Clinical Strategy & Optimized Design with RWD and Clinical Patient-Level Data

Qin_YeQin Ye, MD, Associate Principal, Global RWE Lead, ZS

Jane_FangJane Fang, MD, PhD, Head, Biologics, Research & Development Informatics, AstraZeneca/MedImmune

Historical clinical trial and real-world data hold immense potential in sharpening R&D strategy, optimizing trial design and streamlining operational planning. This data-driven approach has become common practice for many in the pharmaceutical industry, but there are still hurdles to overcome. For some, the lack of efficient and timeline approach as well as tangible use cases leads to poor adoption and impact. In this presentation we’ll share how MedImmune leveraged an integrated framework to enable seamless data-driven decision making and process transformation within clinical program planning.

10:10 Coffee Break in the Exhibit Hall


11:10 Chairperson’s Remarks

Venkat Sethuraman, Associate Principal, ZS

11:15 Data Integration Solutions: A Case Study of CSL Behring’s Evolution on Managing Clinical Data

Steve_CarrSteve Carr, Director, Data Management, Coding, CSL Behring

CSL Behring had three new molecular entity approvals in the last two years for rare diseases to treat factor eight and nine deficiencies in hemophilia, along with hereditary angioedema. How does a company go from running small rare disease studies to delivering a Phase III CV mega-trial? We will discuss how we have spent the last two years preparing to start this study in the first half of 2018.

11:40 CO-PRESENTATION: Randomization Authorization Flow (RAF): It’s Not Just about Meeting Eligibility Criteria

Jody_GoldsteinJody Goldstein, Senior Clinical Project Manager, Center for Human Experimental Therapeutics, University of Rochester

Susan_BennettSusan Bennett, Senior Clinical Data Manager, Center for Human Experimental Therapeutics, University of Rochester

RAF is a review and approval process of predetermined key data points and eligibility criteria by a single point of contact (medical monitor) prior to randomization. The RAF process helps to ensure enrollment of the appropriate study-specific patient population. This gestalt review takes into account critical elements not necessarily covered by the eligibility criteria. Looking for subtle (subjective) differences between patients upfront ensures meeting the primary outcomes of the study.

12:05 pm Session Break

12:10 BRIDGING LUNCHEON CO-PRESENTATION: Centralizing Data to Address Imperatives in Clinical Development

Karim_DamjiKarim Damji, Senior Vice President, Products, Solutions & Marketing, Saama Technologies


Amit GulwadiAmit Gulwadi, Executive Director, Analytics-Patient Engagement/Recruitment, Celgene

With the deluge of structured, unstructured, and syndicated data, the use of varied data for targeted outcomes remains difficult, despite increased industry efforts to address the issue. New technologies are federating the ability to leverage analytic-ready data for innovations in clinical development and drug commercialization. With the application of clinical data-as-a-service and meta-data core, centralized clinical data lakes have the power to improve data quality, evidence generation, and time-to-insights.

12:50 Coffee and Dessert Break in the Exhibit Hall

1:30 Close of Conference

Melissa DolenGroup Discounts Are Available! Special rates are available for multiple attendees from the same organization. For more information on group discounts, contact Melissa Dolen at 781-972-5418 or mdolen@healthtech.com.


2018 SCOPE Conference at a Glance


For questions or suggestions about the meeting, contact:

Marina_62x62Marina Filshtinsky, M.D.
Senior Director, Conferences
Cambridge Healthtech Institute (CHI)
T: (+1) 781.972.5496
E: mfilshtinsky@healthtech.com

For partnering and sponsorship information, contact:

IlanaIlana Quigley
Senior Manager, Business Development
Cambridge Healthtech Institute (CHI)
T: (+1) 781.972.5457
E: iquigley@healthtech.com

For media and association partnerships, contact:

RichRich Handy
Senior Director, Marketing
Cambridge Healthtech Institute (CHI)
T: (+1) 781.972.5456
E: rhandy@healthtech.com