Australian Sensitive Data Interest Group Meeting 39: Federated Approaches for Analysis of Sensitive Healthcare Datasets

About the Event

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) enables secure federated data analytics by standardizing the structure and content of disparate healthcare datasets, allowing them to be analysed consistently across different sites without requiring the transfer of patient-level data.

In this seminar, “Federated Approaches for Analysis of Sensitive Healthcare Datasets: the Observational Health Data Sciences and Informatics (OHDSI) Approach“, we will describe how the transformation of local data into the OMOP CDM facilitates privacy-preserving distributed analytics, where analytical code is developed centrally, executed locally at each participating site, and only aggregated, de-identified results are shared back. This process ensures that sensitive patient data remains within its original environment and under the control of the data custodian, significantly reducing privacy and governance barriers while enabling large-scale, multi-site observational research.

Recording

A recording of this session is now available:

Speakers

Professor Nicole Pratt

Nicole is a Professor of Biostatistics and Pharmacoepidemiology, with a strong track record in real-world evidence generation using large-scale health datasets. She has played a key role in shaping national conversations around the safe and secure use of healthcare data for medicines safety and health outcomes research. Nicole is a founding member of OHDSI and brings expertise in data governance, linked data analysis, and stakeholder engagement.

Roger Ward

Roger is a Solutions Architect at the Australian Research Data Commons (ARDC), where he leads initiatives focused on research infrastructure and common data models in health. With a background in medical informatics and experience across government and academic sectors, Roger works at the intersection of health data systems, interoperability, and federated research platforms. He is a founding member of the ARDC-supported Australian Health Data Evidence Network (AHDEN) and is actively involved in national and international efforts to harmnise the use of data for public good.

Learn More

Read about related ARDC initiatives:

• Data Integration
• Australian Health Data Evidence Network (AHDEN)
• Electronic Medical Records as a National Data Asset
• Health Data Australia.

About AUSDIG

The Australian Sensitive Data Interest Group (AUSDIG) provides an opportunity for anyone interested in discussing the challenges and strategies for managing sensitive data. To watch previous meetings and join the mailing list, visit the AUSDIG website.

Do you have questions about this event? Contact us.

Attendees are expected to comply with the Code of Conduct for ARDC Activities during this event.

Please note that this event will be recorded and published by the ARDC. This may include your contributions during the session. The ARDC respects the privacy of individuals. Information collected is in accordance with the ARDC Privacy Policy.

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