Symposia Overviews

Six symposia have been accepted for inclusion in the program for ACPE 2025. The symposia overviews can be viewed in the menu below. Presentation details and speaker listings will be updated in due course.

Saturday 22 November 2025, 10:30-12:00

Over the past decade, China’s healthcare system has undergone a significant digital transformation, driven by national policies and technological advancement. This transformation has led to the systematic digitization of healthcare delivery, resulting in the large-scale generation of real-world data (RWD), including electronic health records (EHRs), medical claims, and population health registries.

Aligned with the Healthy China 2030 blueprint, the Chinese government has invested heavily in building national healthcare big data infrastructure and enhancing the application of such data in public health and regulatory contexts. The maturation of regional and national databases has recently resulted in a notable increase in peer-reviewed publications, utilizing datasets such as:

  • Ningbo Yinzhou Regional EHR (Liu, X. et al., 2025; Yang, J. et al., 2025)
  • Tianjin Regional EHR (Zhang Q. et al., 2025; Liming Z. et al., 2025)
  • National Anti-Tumor Drug Surveillance System (Chen, Y. et al., 2025; Fan Y. et al., 2025)
  • Others: Chongqing, Xiamen, Yichang regional EHRs, Beijing pilot claims database, Boao special medical zone

Despite this momentum, challenges remain regarding data governance, privacy, methodological rigor, and standardization, particularly for international collaboration.

This symposium directly supports ISPE’s strategic interest in advancing pharmacoepidemiology globally and fostering knowledge exchange in high-growth regions.

Upon completion of this symposium, participants will be able to:

  • Describe the current landscape, strengths, limitations, and methodological challenges of using real-world databases in mainland China.
  • Understand the governance frameworks and data access processes in China, including issues related to privacy, ethics, and regional variability.
  • Evaluate strategies for data harmonization and standardization, such as common data models (CDMs), to enable multi-regional or international studies using Chinese data sources.

Identify opportunities for collaboration across academia, industry, and regulatory agencies to advance RWE generation and application in the broader Asia-Pacific region.

The rapidly evolving healthcare landscape in Asia faces unique challenges in pharmacovigilance and risk management, including diverse genetic populations, varying healthcare infrastructures, and the need for scalable solutions across different healthcare systems. Traditional pharmacoepidemiological methods often fall short in processing the vast amounts of real-world data generated across Asian healthcare networks, leading to delayed identification of at-risk patients and suboptimal therapeutic outcomes. Critical gaps exist in early disease detection, timely identification of adverse drug reactions, and proactive risk stratification for hospitalization and mortality. The integration of artificial intelligence and machine learning technologies presents unprecedented opportunities to transform these challenges into actionable insights, yet implementation barriers and methodological considerations specific to Asian populations remain underexplored.

This symposium will present cutting-edge applications of AI/ML methodologies in three key domains of pharmacoepidemiological practice:

 Session 1: Early Diagnosis and Disease Detection

  • Machine learning algorithms for predictive modeling using electronic health records
  • Natural language processing for extracting clinical insights from unstructured data

Session 2: Intelligent Drug Safety Surveillance

  • AI-powered adverse event identification and causality assessment

Session 3: Risk Stratification and Outcome Prediction

  • Deep learning models for hospitalization and mortality risk prediction
  • Population-specific risk algorithms accounting for Asian demographic and clinical characteristics

Each session will combine theoretical foundations with practical applications, featuring interactive demonstrations and collaborative discussions on implementation challenges and solutions.

Upon completion of this symposium, participants will be able to:

  1. Evaluate the current state and potential of AI/ML applications in pharmacoepidemiology, specifically within Asian healthcare contexts
  2. Apply machine learning methodologies for early disease detection and risk identification using real-world evidence
  3. Implement AI-powered drug safety surveillance systems for enhanced pharmacovigilance practices
  4. Develop risk stratification models for predicting patient outcomes including hospitalization and mortality
  5. Design implementation strategies that account for regional variations in healthcare infrastructure and patient populations

Saturday 22 November 2025, 15:30-17:00

Real-world data (RWD) is critical for advancing real-world evidence (RWE). However, the diverse structures and populations represented in RWD can make it difficult to compare effect sizes and biases across RWD, especially across different countries and regions. Oncology research presents additional challenges, as cancer biomarkers, treatment decisions, and cancer progression or recurrence are not routinely captured in RWD sources. Linking data from electronic health records, cancer registries, and healthcare claims can enrich analyses but can also reduce sample size and introduce selection bias. While big data has numerous strengths, bigger is not always better, and researchers must carefully select and curate their data with alternative data sources. This symposium brings together stakeholders with experience working with oncology databases in Asia to advance the discussion of RWD and the development of RWE.  This session is relevant to all interested in pharmacoepidemiology.

The first presenter will briefly review the types and diversity of oncology RWD presented at ISPE and ACPE pharmacoepidemiology conferences in 2025 and introduce frameworks to organize the breadth and depth of these data sources. The next four presenters will share example studies using oncology RWD from Hong Kong, Taiwan, South Korea, and Japan.  

We will provide a comparative summary of the data sources presented, place the databases into the context of other prominent national and regional oncology databases, and introduce an ongoing ISPE Cancer SIG project to describe and compare oncology RWD sources for pharmacoepidemiology.

The session will conclude with a moderated panel discussion incorporating audience questions.

Upon completion of this symposium, participants will be able to:

  1. Introduce the types and diversity of oncology RWD presented at the 2025 ISPE Annual and ACPE regional pharmacoepidemiologic conferences.
  2. Appreciate the data structure, available variables, and opportunities to link health data to cancer registries through case study examples.
  3. Discuss considerations for selecting and using specific RWD in the Asia Pacific region for oncology research. 
  4. Introduce members to opportunities available through ISPE Special Interest Groups (SIGs), specifically the Cancer SIG.

With the increasing volume of clinical evidence derived from large-scale Asian real-world data (RWD) and its growing role in regulatory decision-making, the Asian RCT-DUPLICATE Project aimed to evaluate whether methodologies validated using U.S. data sources could be successfully implemented in Asian RWD.

Specifically, this project evaluated the extent to which key study parameters necessary for duplicating landmark trials could be effectively replicated in RWD of Korea and Taiwan by emulating six cardiovascular outcome trials (CVOT) of antidiabetic drugs. The implementation was successful; however, some emulations did not fully align, and discrepancies were observed between the two Asian data sources used in the study.

This symposium aims to present the completed results from the six CVOT emulations conducted as part of the Asian RCT-DUPLICATE Project and to evaluate the potential of RWD across Asian countries for duplicating landmark trials or conducting target trial emulations in observational study. To facilitate this discussion, we will provide an overview of RWD in AsPEN (Japan, Korea, Taiwan, and Hong Kong), with a particular focus on their applicability in observational studies on antidiabetic drugs.

The Asian RCT-DUPLICATE project demonstrated the feasibility of leveraging Asian RWD for observational studies on antidiabetic drugs in patients with type 2 diabetes. Moving forward, further discussions are warranted to explore the applicability of these findings across various Asian RWD not included in this project. The symposium will serve as a crucial platform for fostering these discussions and advancing the science of real-world evidence generation in Asia, ultimately contributing to improved healthcare outcomes for Asian populations through more robust and locally relevant clinical evidence.

Sunday 23 November 2025, 11:00-12:30

The use of real-world data (RWD) to generate real-world evidence (RWE) for regulatory, health technology assessment (HTA), and clinical decision-making has grown substantially in recent years. RWE can complement traditional clinical trial data, offering insights into the safety, effectiveness, and cost-effectiveness of drugs in routine clinical settings.

Despite this progress, the integration of RWE into formal decision-making processes remains inconsistent. Regulatory agencies, HTA bodies, and clinical associations around the world have issued frameworks and guidelines to support the use of RWE. However, the acceptance, interpretation, and practical application of RWE still vary across jurisdictions and stakeholders.

Multi-jurisdictional RWD studies are increasingly recognised for their potential to improve the generalisability and applicability of evidence across geographic regions. These studies are particularly valuable when regulatory, HTA, or clinical decisions must be made that affect diverse populations or span multiple regions. The Neurological and Mental Health Global Epidemiology Network (NeuroGEN) was established in 2018 to provide a platform for institutes to conduct multi-jurisdictional research, with a focus on neurodegenerative diseases and psychiatric disorders, but has recently extended to other disease areas.

This symposium will showcase case studies conducted by members of NeuroGEN, highlighting how multi-jurisdictional RWD studies have been used across different stages of the drug life-cycle – from regulatory, HTA, to clinical decision-making. Presentations will include collaborative work within Asia, Europe, and Australasia.

The symposium will commence with a short 10-minute introduction by the current Chair of NeuroGEN on recent developments in multi-jurisdictional RWD/RWE studies, highlighting both opportunities and challenges in the field. This introduction will also include an overview of NeuroGEN, its scope, recent activities, and future directions. Following the introduction, five 10-minute presentations will showcase case studies of how multi-jurisdictional RWD is being applied to inform different stages of the drug life cycle in Asia, Europe, and Australasia. The symposium will conclude with a 30-minute panel discussion, involving all speakers.

This topic is highly relevant to ISPE’s membership, particularly in Asia, where regulatory acceptance of RWE is accelerating. Recent updates in Japan (2016), South Korea (2025), and mainland China reflect a growing willingness to incorporate RWE into supporting indication expansions and post-marketing requirements. As RWD infrastructure across the region improves in both coverage and quality, Asia is increasingly positioned to play a central role in global RWE generation.

While multi-jurisdictional RWE studies are well-established in Europe (e.g., EU PE&PV, DARWIN EU) and in the US (e.g., FDA Sentinel Initiative), such collaborative models are still in development in Asia. NeuroGEN can help bridge this gap by enabling high-quality, cross-border research on drug use and outcomes with global relevance. This symposium directly supports ISPE’s mission to advance pharmacoepidemiology through global collaboration, providing a timely opportunity to highlight Asia’s growing leadership in the field.

Post-marketing surveillance (PMS) practices in Asia are evolving to integrate real-world data/evidence (RWD/RWE) as a part of decision making. Japan’s Good PMS practice now allows drug developers to conduct RWE studies to meet regulatory requirements, while South Korea is transitioning from the traditional “Use-Result Surveillance” to a more evidence-driven approach using RWD, set to take effect in 2025. In contrast, Europe has long integrated RWD into PMS through post-authorisation safety studies (PASS). To ensure consistency in global drug safety evaluation, it is essential for regulatory frameworks in Asia to align with these well-established standards.

This symposium will commence with a brief introduction of the learning objectives and contents by the session moderators, followed by four presentations discussing the regulatory standards on PMS practice using RWD from different regions and concluding with a panel discussion.

This symposium will explore regulatory requirements for PMS using RWD across different regions, focusing on the scientific rigor of pharmacoepidemiologic research to meet these standards. Key discussions will include study design considerations, comparator group selection, and methodological approaches to addressing confounding and bias that are accepted by the regulatory bodies.

For ISPE members in the Asian region—many of whom are actively engaged in pharmacoepidemiologic research or regulatory science—this topic is particularly relevant as it provides practical insights into evolving regulatory expectations, methodological rigor, and international alignment in implementing RWD in PMS.