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Monday, June 16
 

11:00am EDT

Is Real-World Evidence Always a Last Resort?
Monday June 16, 2025 11:00am - 12:00pm EDT
Component Type: Forum
Level: Intermediate

Opportunities and challenges for using RWE from the perspective of drug development, regulatory considerations, health technology assessments, clinician and patients will be discussed, including new collaborations between regulators and HTA.

Learning Objectives

Describe how RWE is being used through the medicinal product lifecycle by showing relevant examples; Evaluate the utility of RWE for benchmarking disease progress and/or to use as an external comparator; Discuss how HTA evaluate RWE and current collaborations with regulators.

Chair

Nancy A Dreyer, PhD, MPH, FISPE

Speaker

RWE for Clinical Decision Support
Richard Gliklich, MD

Opportunities and Challenges in Using RWE from the perspective of Drug Development
Brian Bradbury, DrSc, MA


Speakers
avatar for Brian Bradbury

Brian Bradbury

Vice President, Center for Observational Research, Amgen, United States
Brian D. Bradbury is Vice President and Head of the Center for Observational Research (CfOR) at Amgen, Inc. He leads a global team of epidemiologists, data scientists, programmers and operations professionals who generate real-world evidence (RWE) to support the development and continuous... Read More →
avatar for Nancy Dreyer

Nancy Dreyer

Founder, Dreyer Strategies LLC, United States
Nancy Dreyer is Chief of the Scientific Advisory Board at OM1, and brings her experience having served as Chief Scientific Officer at IQVIA Real World Solutions, Global Chief of Scientific Affairs at Outcome Sciences and Quintiles, and CEO of Epidemiology Resources Inc. Her expertise... Read More →
avatar for Richard Gliklich

Richard Gliklich

Chief Executive Officer, OM1, United States
Dr. Richard Gliklich is the Founder of OM1, Inc., a data, outcomes and technology company focused on using data and AI to accelerate medical research and improve clinical decision making. OM1 accelerates and lowers the cost of prospective and retrospective studies and registries for... Read More →
Monday June 16, 2025 11:00am - 12:00pm EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA
  03: Data-Tech, Forum

2:15pm EDT

Innovation at the Intersection: Clinical Operations, Data Management, and Quality Assurance on Quality-by-Design and Risk-Based Quality Management
Monday June 16, 2025 2:15pm - 3:15pm EDT
Component Type: Session
Level: Intermediate

This forum will present: Health Authority (HA) expectations related to QbD, RBQM, and issue management. Specific examples of how study teams use technology to overcome challenges in achieving QbD and effective RBQM and issue management practices.

Learning Objectives

Discuss Health Authority (HA) expectations when designing and executing clinical studies, specifically for using risk proportionate approaches in Quality by Design (QbD), Risk Based Quality Management (RBQM) and issue management practices; Describe real life examples of technologies that facilitate the achievement of HA expectations for QbD, RBQM, and issue management.

Chair

Michael Torok, PhD

Speaker

Industry Perspective
Michael Torok, PhD

Industry Perspective
Kevin Richards


Speakers
KR

Kevin Richards

Head Quality Investigations & Analytics, AstraZeneca, Canada
avatar for Michael Torok

Michael Torok

Vice President, Global Head of Quality Assurance Programs, Genentech, A Member of the Roche Group, United States
Michael Torok, Ph.D. is the Global Head of Quality Assurance Programs at Genentech/Roche. He is energized and driven by the mission of positioning Quality to be an accelerant in developing new therapeutics, rather than a guardrail or "policemen". To enable this shift, cross-functional... Read More →
Monday June 16, 2025 2:15pm - 3:15pm EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA

2:15pm EDT

Setting the Bar High: Facilitating Quality and Acceptability of Decision-Grade Real-world Evidence
Monday June 16, 2025 2:15pm - 3:15pm EDT
Component Type: Session
Level: Intermediate

This session will discuss regulatory guidance and frameworks on data quality and feasibility assessments of RWD sources to support RWE study proposals for health authority and HTA engagements. It will include information about how to leverage diverse sources of targeted RWD to support and improve the evolution of new therapies and indications for product safety, outcomes, reduction in label use, and help HC professionals and industry to create a knowledge base for use of RWD.

Learning Objectives

Examine the challenges and value of real-world data (RWD) in regulatory decision-making; Discuss the guidance on data quality and feasibility of RWD for real-world evidence (RWE) studies in health authority interactions; Recognize strategies to integrate RWD into dossier data for regulatory alignment; identify challenges in standardizing data collection and sharing across industry, regulators, and academia for global acceptance.

Chair

Mehmet Burcu, PhD, MS, FISPE

Speaker

Building Transparency and Reproducibility into the Practice of Real World Evidence Research
Shirley Wang, PhD, MSc, FISPE

Facilitating robust evidence: integrating digital health data into multi-modal datasets
Laura Lasiter, PhD


Speakers
avatar for Mehmet Burcu

Mehmet Burcu

Senior Director, Epidemiology, Merck & Co., Inc., United States
Dr. Mehmet Burcu is a Senior Director in the Department of Epidemiology at Merck & Co., Inc., Rahway, NJ, United States. He currently leads a team of epidemiologists to support clinical development and regulatory decision making in Oncology. He has expertise in large, automated database... Read More →
LL

Laura Lasiter

Regulatory Affairs Director- Digital Health, Astrazeneca, United States
avatar for Shirley Wang

Shirley Wang

Associate Professor of Medicine, Harvard Medical School, United States
Dr. Wang is an Associate Professor at Brigham and Women’s Hospital, Harvard Medical School. She co-led the 1st and 2nd joint task forces between ISPE and ISPOR, co-directs the REPEAT Initiative, a non-profit program with projects aimed at improving the transparency, reproducibility... Read More →
Monday June 16, 2025 2:15pm - 3:15pm EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA
  09: Regulatory, Session |   03: Data-Tech, Session

3:45pm EDT

Efficient Data Exchange: Drivers for End-to-End Standards Adoption
Monday June 16, 2025 3:45pm - 4:45pm EDT
Component Type: Session
Level: Intermediate

Internal solutions for translation between regulatory frameworks to assure right use of control vocabularies to exchange data as structured components of submissions to Health Authorities, CMOs, CROs. Controlled vocabularies, ontologies. Presentation of AstraZeneca core data model to enable translation and mapping for data integration. Define use case for data exchange (with data products TLFs for CMC, iterative submissions by piloting the future representing data). vocabularies and business rules to enable data exchange. How everything connects to each Semantic Model Patient Centric vs. Study Centric for reuse scenarios - Amgen will present PQI Standards to build a regulatory filing. Map different regulatory standards frameworks to enable translation between frameworks (e.g., EMA and FDA) into messaging standards like HL7 FHIR. Reference Global Standard benefits (ICH M4Q, Q12, SPQS, IDMP and GSRS). A call for a solution – Interoperability as a Plan – open sources and sharing the standards – What would Dom do? Exchanging structured data everyone is using the same viewer in the Amgen use case. Regulatory Authorities and Industry must collaborate on solutions for development and application of standards to data. Platforms like Accumulus[2] to present the CMC data and translate from one set of standards to another for access for information. Finally we will discuss Digitial Equity and Transparency - one set of data, exposed in a variable output to HAs, supporting critical operations from source whilst maintaining the Digitial nature of data.

Learning Objectives

Analyze how regulatory digital data from divergent sources must meet varying ICH and Regulatory Authority standards; Identify gaps in applying external regulatory standards to internal industry data; Examine specific examples of gaps, such as enhanced granularity and differing regulatory frameworks (e.g., IDMP, XEVMPD, GSRS); Discuss AI and RWD Dimensions of interoperability.

Chair

David Sidney Ross, MBA, MSc, PMP, RAC

Speaker

Panelist
Mathew Woodwark

Panelist
Dominique Lagrave, PharmD

Panelist
Rita Algorri, PhD, MS


Speakers
avatar for Rita Algorri

Rita Algorri

Senior Manager, Global Regulatory Affairs (CMC), Amgen, United States
Rita Algorri, PhD is a Senior Manager, Regulatory Affairs CMC at Amgen Inc. in Thousand Oaks, CA. In this role, her responsibilities include leading and orchestrating internal and external engagement activities relating to regulatory modernization, digitization, automation, and emerging... Read More →
avatar for Dominique Lagrave

Dominique Lagrave

Senior Vice President of Regulatory Innovation, Accumulus Synergy, United States
Dominique has over 25 years of International Regulatory Affairs experience with the last 20 years spent in Global Regulatory Operations leadership role. Past experiences include work at Galderma, Novo Nordisk, Liquent-Parexel and Dendreon. Dominique joined Accumulus as SVP of Regulatory... Read More →
avatar for David Ross

David Ross

Senior Director, Regulatory Data and Submissions, AstraZeneca, United States
David Ross (Senior Director, Regulatory Data and Submissions, AZ) has undergraduate degrees in Chemical Engineering, and Biochemistry with an MBA and Engineering Management graduate degrees. He led global complex Business Transformation projects in the Pharmaceutical and Biologics... Read More →
MW

Mathew Woodwark

Head of Data Standards and Interoperability, AstraZeneca, United Kingdom
Monday June 16, 2025 3:45pm - 4:45pm EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA
  03: Data-Tech, Session
 
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