SISPE presents a webinar on CVs/Resumes and job applications featuring experts Daniela Moga (University of Kentucky) and Jenny Sun (Pfizer). Dr. Moga will discuss crafting effective CVs, teaching and research statements, and academia interview strategies. Dr. Sun will share valuable insights on industry applications, translating academic CVs into professional resumes, and excelling at industry interviews. The goal of this webinar is to enhance pharmacoepidemiology job application skills with practical advice from professionals in academia and industry.

The simultaneous rise in demand for global RWD and proliferation of potential data sources and analytic tools require pharmacoepidemiologists to understand and collaborate on data strategy. This four-part video series on data strategy, including governance, quality management, architecture, and asset planning was co-developed by ISPE members and Donna Burbank of Global Data Strategy.

Presented by 

Dr. Celine Chui (Hong Kong), Dr. Masao Iwagami (Japan), Prof Edward Lai (Taiwan), Dr. Judy Shin (South Korea)

This webinar aims to provide an in-depth understanding of the electronic health records (EHR) databases in Hong Kong, Japan, Taiwan, and South Korea. Participants will gain valuable insights into the unique features of each database, including Hong Kong's CDARS (Clinical Data Analysis and Reporting System), Japan's MDV (Hospital-based database provided by Medical Data Vision Co., Ltd) and JMDC (claims data provided by JMDC Inc.), South Korea's HIRA (Health Insurance Review and Assessment Service) and NHID (The National Health Information Database), and Taiwan's NHIRD (National Health Insurance Research Database) and CGRD (Chang Gung Research Database). Presenters from each region will introduce these databases and showcase research done using these databases.

Learning Objectives:

1. Provide an overview of electronic health record databases in Asia with potential for international collaboration.

2. Foster cross-continental international collaboration.

The simultaneous rise in demand for global RWD and proliferation of potential data sources and analytic tools require pharmacoepidemiologists to understand and collaborate on data strategy. This four-part video series on data strategy, including governance, quality management, architecture, and asset planning was co-developed by ISPE members and Donna Burbank of Global Data Strategy.

Presented by Andrew Bate, VP, Head of Safety Innovation & Analytics, GSK

Despite the hype, AI/ML is not new: it’s been used routinely in elements of Pharmacoepidemiology and Safety for decades. For all the talk of experimentation and related methodological publications, the biggest challenges are often operationalizing these activities into routine use. This webinar will focus on challenges and insights into how operationalizing barriers can be overcome, and will include examples of how AI/ML has been or is being incorporated to support routine safety surveillance activities. 

Learning Objectives:

• Recognize what AI is and the opportunities it affords for pharmacoepidemiology and routine safety surveillance activities
• Understand how AI is impacting safety now and how it may do so in the future
• Appreciate some of the implications of AI on the field

Presented by Janick Weberpals, Transparency and reproducibility in pharmacoepidemiology research 

Transparency and reproducibility in conducting healthcare database studies in pharmacoepidemiology are critical scientific requirements for meaningful research. While many advances have been made in the documentation and reporting of study protocols and results, the principles for version control and sharing of analytic code in real-world evidence are not yet as established as in other quantitative disciplines like computational biology and health informatics. 

This tutorial aims to give a practical introduction tailored for pharmacoepidemiologists on how to set up, structure, and implement analytic workflows using Git, the most frequently used distributed version-control system to date. 

Machine learning has the potential to transform aspects of how healthcare and medicine are delivered, yet we know these technologies have the capacity to exacerbate existing inequalities (or introduce new ones). 

This webinar will discuss what it means for machine learning algorithms to be fair, explore potential issues, and share concrete steps for creating fair algorithms, as part of our larger goal of promoting equity in health systems. Special attention will be paid to fairness and bias considerations for large language models (e.g., ChatGPT/GPT-4, Bard/LaMDA). 

This webinar was presented on behalf of the ISPE Vaccines Special Interest Group (SIG) and the ISPE Student Council (SISPE). Event highlights included: engaging with top professionals from pharmaceuticals, consulting, academia, and government; exploring various career paths within the vaccine industry; and participating in a dynamic agenda that included panelist introductions, a moderated Q&A session, and an open Q&A forum. This is an excellent platform for professionals and students alike to gain insights and network with industry leaders.

Methods and Applications of Synthetic Data in Pharmacoepidemiology (November 15, 2023)

Synthetic data is a form of model generated data that shares the same patterns and characteristics as real data. The applications of synthetic data in pharmacoepidemiology are still emerging, but can offer new ways for us to:

1. Enable the internal reuse of datasets and sharing data with external parties in a privacy-preserving manner (i.e., it can be seen as anonymization 2.0)

2. Augment and expand datasets that are small for training machine learning models

3. Mitigate bias in datasets by simulating observations from the under-represented groups

4. Simulate patients for clinical trials that are experiencing problems, including under-recruitment

Synthetic data can be created when a generative AI model is trained on source data, such as claims database or an EMR database. This AI-generated data would not have a one-to-one mapping to the original data, and therefore will have strong privacy preserving characteristics, and the generated data can be much larger than the original data. Some of these use cases have already been applied in practice and some are still in the formative stage of development. This webinar will give an overview of synthetic data generation and walk through some of the above applications.
This webinar is sponsored by the Digital Epidemiology Special Interest Group.

This webinar is aimed towards industry/service providers, academia, government/regulatory and students.

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Designing and Conducting Pragmatic Randomized Trials in Electronic Databases in ‎Pharmacoepidemiology (October 12, 2023)

This webinar covers key concepts in designing and conducting pragmatic randomized trials in electronic databases, like electronic health record systems and administrative claims databases. These designs are often referred to as "database-randomized trials", which may be increasingly possible within electronic databases used in pharmacoepidemiology. Content will include conceptual differences from traditional pragmatic trials, advantages and disadvantages of these types of trials, and relevant examples.

This webinar is aimed towards industry/service providers, academia and students.

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